Next Article in Journal
Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs
Previous Article in Journal
Biogas Slurry as a Sustainable Organic Fertilizer for Sorghum Production in Sandy Soils: A Review of Feedstock Sources, Application Methods, and Agronomic Impacts
Previous Article in Special Issue
Silver Nanoparticles Embedded in Sodium Alginate: Antibacterial Efficacy and Effects on Red Cabbage Seedling Performance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Gold Nanoparticles Against Tetranychus urticae and Phytoseiulus persimilis in Tomato

by
José Guadalupe Ontiveros-Guerra
1,
Sonia Noemí Ramírez-Barrón
2,
Luis Alberto Aguirre-Uribe
1,
Julio Cesar Chacón-Hernández
3,
Miriam Sánchez-Vega
1,
Ernesto Cerna-Chávez
1,
Josué Israel García-López
4,
Alberto Antonio Neira-Vielma
5,
Héctor Iván Meléndez-Ortiz
6 and
Agustín Hernández-Juárez
1,*
1
Departamento de Parasitología, Universidad Autónoma Agraria Antonio Narro, Calzada Antonio Narro 1923, Buenavista, Saltillo 25315, Coahuila, Mexico
2
Departamento de Ciencias Básicas, Universidad Autónoma Agraria Antonio Narro, Calzada Antonio Narro 1923, Buenavista, Saltillo 25315, Coahuila, Mexico
3
Facultad de Ingeniería y Ciencias, Universidad Autónoma de Tamaulipas, Ciudad Victoria 87149, Tamaulipas, Mexico
4
Centro de Capacitación y Desarrollo en Tecnología de Semillas, Universidad Autónoma Agraria Antonio Narro, Calzada Antonio Narro 1923, Buenavista, Saltillo 25315, Coahuila, Mexico
5
Centro de Estudios e Investigaciones Interdisciplinarias, Universidad Autónoma de Coahuila, Centro Cultural, Ciudad Universitaria, Carretera Mexico km. 13, Arteaga 25350, Coahuila, Mexico
6
Secretaría de Ciencia, Humanidades, Tecnología e Innovación-Centro de Investigación en Química Aplicada, Blvd. Enrique Reyna Hermosillo 140, Saltillo 25294, Coahuila, Mexico
*
Author to whom correspondence should be addressed.
Agronomy 2025, 15(7), 1684; https://doi.org/10.3390/agronomy15071684
Submission received: 23 May 2025 / Revised: 25 June 2025 / Accepted: 10 July 2025 / Published: 12 July 2025

Abstract

The two-spotted spider mite Tetranychus urticae Koch (Acari: Tetranychidae) is a major pest of horticultural, ornamental, fruit, and strawberry crops worldwide. Currently, various management tools have been explored for this pest, with nanoparticles being one of them, which stand out for their characteristics and multiple effects. This study evaluated the effects of green-synthesized gold nanoparticles (AuNPs) on the mortality and repellency of T. urticae and its natural predator Phytoseiulus persimilis under laboratory conditions, as well as their efficacy in greenhouse tomatoes against T. urticae. In the laboratory, a biological window for AuNPs (50–100 mg L−1) on the pest and predator was established using a residual film method and a free-choice assay. In the greenhouse, four concentrations (300, 500, 750, and 1000 mg L−1) were evaluated via foliar application at 10-day intervals. The results showed susceptibility to AuNPs in all stages of T. urticae and the adult P. persimilis. The death times from AuNPs were similar in both species. Furthermore, the AuNPs were selective for the pest rather than the natural enemy. In greenhouses, AuNPs affected T. urticae populations in tomato plants, and significant differences were observed on some continuous and final agronomic variables (associated with fruits). This study showed that T. urticae and P. persimilis were susceptible to green-synthesized AuNPs. AuNPs can be a management tool, although studies on other non-target species and estimating agronomic effects on other crops are recommended.

1. Introduction

The two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae), is widely distributed across most continents [1]. Its small size, high fecundity, short life cycle, and marked ability to develop resistance to acaricides [2,3,4] make it one of the most important agricultural pests worldwide [5]. T. urticae infests >1300 plant species in 77 families, including economically important fruit trees, vegetables, berries, field crops, and ornamentals [1,6]. Managing this mite has become increasingly complex owing to rising global temperatures, intensified agricultural production, management practices, heavy reliance on chemical inputs, and the evolution of resistance to multiple active ingredients [5,7,8]. Such resistance has been driven mainly by repeated applications of synthetic pesticides [9,10]. Consequently, alternative strategies for T. urticae management have been explored within Integrated Pest Management (IPM) [11,12,13]. IPM reduces environmental impact, delays resistance, and lessens risks to non-target organisms such as predators, parasitoids, and pollinators [14,15] by minimizing chemical pesticide use and promoting sustainable, selective options [16,17,18,19].
Nanotechnology is increasingly applied in agriculture [20,21], particularly for pest management [22,23]. Nanoinsecticides and nanoacaricides of diverse compositions and synthesis routes provide controlled release, improved delivery, and reduced loss of active ingredients [24,25,26,27,28]. For T. urticae, metallic (Au, Ag, Zn, Fe, Ti), non-metallic (C, Si), green-synthesized (botanical), and polysaccharide-based nanoparticles (NPs) have been tested [29]. Conventional synthesis routes—hydrothermal, thermal, anodization, deposition–precipitation, wet oxidation, electrodeposition, and sonication—can be costly, energy intensive, and use hazardous reagents [30,31]. Green synthesis, using plants, algae, and microorganisms, offers a sustainable alternative [32], facilitates scale-up [33], lowers costs, and avoids toxic chemicals [34,35].
AuNPs have been explored in the search for alternatives for the control of various urban and agricultural pests [36,37,38,39,40,41]. Given the challenges faced in pest management, such as the emergence of resistance and contamination [5], the use of NPs can be a tool for the control and management of agricultural pests. AuNPs differ in their mode of action due to their unique characteristics [26,31]. In addition to the pest species, they are known to affect multiple processes in insects or arthropods, from interaction with the cuticle, generation of reactive oxygen species (ROS), interference with gene expression, enzyme inhibition, alteration of feeding and reproductive behavior [39], and even affecting plants.
Studies of AuNPs in agricultural pests are limited, and their effects on non-target species such as pollinators, predators, and parasitoids are unknown, even affecting agricultural crops or model plants [42,43].
This study evaluated green, synthetic gold nanoparticles (AuNPs) on the mortality and repellency of T. urticae and their selectivity toward P. persimilis under laboratory conditions. Furthermore, the efficacy of AuNPs on T. urticae and their effects on tomato agronomic variables were evaluated under greenhouse conditions.

2. Materials and Methods

2.1. Green Synthesis and Characterization of Gold Nanoparticles (AuNPs)

Green pecan shells Carya illinoinensis (Wangenh) K. Koch (Juglandaceae) were collected from the experimental field “El Bajío” (25.35599743085867, −101.03874520637001) at the Universidad Autónoma Agraria Antonio Narro (UAAAN) in Saltillo, Coahuila, Mexico. The seeds were cut into small pieces and subsequently dried in an oven (Ecoshel™) at 35 °C for ten days. Finally, the dried material was ground into a fine powder using a Crabby™ ball mill (Retsch, Pulverisette 6, Idar-Oberstein, Germany).
The extract was prepared at the Laboratorio de Nanotecnología of the Departamento de Ciencias Basicas (DCB) of the UAAAN, following the methodology described by Neira et al. [44]. The powdered material obtained after milling was sieved using a 250 μm Tyler™ mesh. For the preparation, 2 g of the sieved powder were suspended in 200 mL of sterile distilled water (pH 6.5) in a round-bottom flask. The mixture was heated to 80 °C for 2 h under constant magnetic stirring. It was then filtered through Whatman No. 4 filter paper, resulting in an aqueous extract of pecan shell. Finally, the extract was stored at 2 °C under refrigeration until use.
The green synthesis of gold nanoparticles (AuNPs) was carried out via direct reduction using the aqueous pecan shell extract and tetrachloroauric acid (HAuCl4) (Sigma-Aldrich™) as the precursor, following the protocol described by [44] with slight modifications. In a round-bottom flask equipped with a condenser, 985 mL of sterile distilled water and 15 mL of the extract were combined and maintained at 60 °C in a water bath for 10 min. Subsequently, 1.5 g of HAuCl4 was added under continuous magnetic stirring at 80 °C for 2 h. Upon completion, the resulting solution was stored in amber glass bottles and refrigerated at 2 °C until further analysis and use.
The shape and size of the AuNPs were characterized by energy-dispersive X-ray spectroscopy (EDX) and transmission electron microscopy (TEM) using a FEI-TITAN 80–300 kV microscope (Fisher Scientific™) at the Centro de Investigación en Química Aplicada (CIQA) in Saltillo, Coahuila, Mexico.

2.2. Mites Rearing

Susceptibility assays with AuNPs were conducted at the Laboratorio de Entomología Molecular y Alternativas del Control de Plagas (LEMACP) of the Departamento de Parasitología (DP) of the UAAAN. A colony of T. urticae was established on bean Phaseolus vulgaris L. (Pinto Saltillo variety) plants and maintained in a bioclimatic chamber (Biometer Mark III™, Lab Line) under controlled conditions of 25 ± 2 °C, 60–70% relative humidity, and a 13:11 h (light/dark) photoperiod.

2.3. In Vitro Evaluation of AuNPs on T. urticae and P. persimilis

To evaluate the effect of AuNPs on T. urticae, a biological assay range (50–1000 mg L−1) was established across the egg, larval, protonymph, deutonymph, and adult stages. Population homogenization was performed using the leaf arena technique described by [45], in which two-day-old females were transferred to 35 mm bean leaf discs and allowed to oviposit for 24 h; the resulting population was used in the assays. For P. persimilis, biological material was commercially sourced (Spidex Vital™, Koppert Mexico), selecting only adult individuals.
The susceptibility of the mobile instars of both species was evaluated using method 004 of the Insecticide Resistance Action Committee [46], with slight modifications. Individuals were transferred using a fine brush onto bean leaf discs previously treated with AuNP solutions. The discs were placed adaxial side up on trays containing water-saturated cotton pads to prevent mite escape. AuNP solutions were prepared in sterile distilled water with 0.01% sodium dioctyl sulfosuccinate (DSS) as a dispersant. The leaf discs were immersed in the solution for 10 s; to remove excess and avoid interference with the locomotion of the mites [47], the disc was placed on cotton for 5 min at a 45° angle; then, the females were placed. The treated discs were then placed on the trays, and 30 females were transferred to each disc, with 10 replicates per treatment, totaling 300 individuals.
Mortality was assessed at 24, 48, 72, 96, and 120 h post-treatment. Mites were considered dead when they exhibited ataxia (uncoordinated movements) or remained immobile after stimulation with a fine brush [48]. In the case of eggs, for which stimulation is not feasible, mortality assessment was conducted at the point of complete emergence in the untreated control.
Based on the bioassays, the median lethal concentration (LC50) and median lethal time (LT50) of AuNPs were determined for T. urticae across all developmental stages and for adult P. persimilis. AuNPs were compared against two commercial controls, depending on the instar evaluated: a synthetic acaricide for mobile stages (Thimet 15 G™, 15% phorate™, AMVAC® Chemical Corporation, Zapopan, Jalisco, Mexico), a botanical ovicide (Atzingao™, 60% Euphorbiaceae plant extracts, GreenCorp, Saltillo, Coahuila, Mexico), and a negative control (distilled water). In both bioassays, when mortality in the negative control was 0%, no correction was applied; if control mortality was less than 10%, the data were adjusted using Abbott’s formula [49].
From the LC50 values obtained in the adult bioassays of T. urticae and P. persimilis, the selectivity ratio (SR) was calculated using the formula proposed by [50]:
Selectivity Ratio (SR) = LC50 of the natural enemy/LC50 of the pest
According to [51], an SR value greater than 1 indicates that the insecticide is selective for the natural enemy (i.e., less toxic to the predator), whereas an SR value less than 1 suggests that selectivity favors the pest (i.e., the product is more toxic to the predator).

2.4. Repellency Effects of AuNPs on T. urticae and P. persimilis

The repellency of AuNPs was evaluated following the methodology described by [52], with slight modifications. The experimental unit (EU) consisted of a free-choice arena designed according to [53,54]. The arena was composed of four plastic Petri dishes (5 cm in diameter), three of which were treated with the same concentration of each treatment, and one left untreated as a control. This design was applied to five evaluated treatments: three sublethal concentrations of AuNPs (LC10, LC15, and LC20), a botanical repellent control (eBioluzion Plus VO™, GreenCorp, Saltillo, Coahuila, Mexico) at 150 mg L−1, and a treatment containing only distilled water and DSS (0.01%). The treated Petri dishes were connected to a central untreated dish via four plastic tubes, each 10 cm long and 0.3 cm in diameter. All the treatments were prepared using sterile distilled water with 0.01% DSS.
Bean leaf discs (Pinto Saltillo variety) were treated by immersion, submerging them in each concentration for 10 s. Excess solution was then removed, and the discs were placed abaxial side up in the Petri dishes, which contained a 5 cm diameter filter paper previously moistened with sterile distilled water.
Individuals of T. urticae were homogenized using the leaf arena technique described by [45]. Adult P. persimilis were obtained commercially (Spidex Vital™, Koppert, Mexico). For both species, 30 females were released into the central dish of the free-choice arena, which was connected to the treated leaf discs. Each treatment consisted of 10 replicates (10 free-choice arenas per treatment), randomly distributed. The bioassay was conducted in a bioclimatic chamber (Biometer Mark III™, Lab Line) for 72 h under controlled conditions: temperature at 25 ± 1 °C, relative humidity at 60 ± 10%, and a 12:12 h light/dark photoperiod. Evaluations were carried out at 2, 4, 6, 12, 24, 48, and 72 h, recording the number of females present on each disc within the free-choice arena.
Based on the data obtained, the repellency percentage (RP) was calculated using the following formula:
Repellency (%) = [(Control population − Treatment population)/(Control population + Treatment population)] × 100
Additionally, the repellency index (RI) was calculated according to [52], as adapted by [55]. This index classifies treatments as neutral (RI = 1), attractive (RI > 1), or repellent (RI < 1). The complementary scale of the repellency index is shown in Table 1.
The repellency index (RI) was calculated using the following formula:
RI = (2G/(G + P))
where G represents the percentage of insects in the treatment, and P represents the percentage of insects in the control.

2.5. Greenhouse Evaluation of AuNPs Against T. urticae and Their Effects on Tomato

In the greenhouse phase, six treatments were evaluated: four concentrations of AuNPs (300, 500, 750, and 1000 mg L−1); a chemical control (Thimet 15 G™, 15% phorate™) applied at its recommended commercial rate (60 mg L−1 = 0.5 L/ha, considering an application volume of 300 L/ha); and an untreated control. The trial was conducted using determinate tomato plants of the Río Grande variety, grown in 25 kg plastic pots containing a 1:2 substrate mixture of perlite (Multiperl™) and peat moss (Vigoro™). Crop nutrition was managed with a modified Steiner nutrient solution (NO3 = 10, H2PO4 = 1, SO4 = 7, K = 7, Ca = 8, and Mg = 3 meq L−1). A randomized block design was used with four replicates, each consisting of five plants, totaling 120 plants. This trial was established in the months of March, April, and May 2024.
To evaluate the biological efficacy of AuNPs against T. urticae, a deliberate infestation was carried out 10 days prior to treatment application, following the methodology described by [56] with slight modifications. Ten two-day-old females were placed on each tomato plant (19 April 2024), 20 days after transplanting (DAT) (March 30). Treatments were applied using a manual sprayer (Truper FDO-2™), with 25 mL of each AuNP concentration in a solution containing 0.01% DSS sprayed onto the foliage. The five developmental stages of T. urticae (egg, larva, protonymph, deutonymph, and adult) were assessed per square inch (in 2) using a portable digital microscope (Jeswo™). Three applications were performed at 10-day intervals, the application start date was 26 April 2024. Evaluations were conducted at 0 (April 29), 10 (May 09), 20 (May 19), and 30 (May 29) days after the first application (DA1A). Biological efficacy was calculated using Abbott’s formula [49] for each developmental stage at the specified time points.
To estimate the effect of AuNPs on the crop, two sets of variables were assessed in tomato plants: continuous variables and final variables. Continuous variables included plant height, petiole Brix degrees, and chlorophyll content (expressed in SPAD units) measured at 0, 10, 20, and 30 days after the first application (DA1A), following the arrows mentioned above. Plant height was recorded with a tape measure (Truper™ FH-5ME); Brix degrees were determined with a handheld refractometer (ATC™); and chlorophyll content was measured with a SPAD-502 Plus™ meter (MCL502). These measurements were taken on the same dates as the AuNP efficacy evaluations, at 10-day intervals.
Final variables related to the fruit were measured at the end of the trial, 80 days after transplanting (DAT) (June 18). The following parameters were recorded: fruit number, polar and equatorial diameter, peduncle length, fruit weight, firmness, Brix degrees, total dissolved solids (TDS), pH, and the fresh weight (FW) and dry weight (DW) of the leaf area. To obtain DW, leaf samples were placed in kraft paper bags and dried in an oven (ICB™) at 40 °C for 15 days. Polar diameter, equatorial diameter, and peduncle length were measured with a digital caliper (LEIDSANY™); fruit weight, FW, and DW were determined with a balance (OHAUS Compass™); fruit firmness with a penetrometer (GY3™); Brix degrees with a handheld refractometer (ATC™); TDS with a TDS-3™ meter; and pH with a potentiometer (HANNA™ Hi98131).

2.6. Statistical Analysis

For the laboratory phase, lethal concentrations (LC50 and LC95) and lethal times (LT50 and LT95), together with their confidence intervals, were estimated by Probit analysis using the maximum-likelihood method [57]. For the repellency assay of AuNPs against T. urticae and P. persimilis, the data were first checked for normality and homoscedasticity, followed by analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test (p < 0.05).
For the greenhouse data, normality and homoscedasticity were likewise verified. When these assumptions were met, ANOVA was performed for each variable, and means were separated with Fisher’s LSD test (p < 0.05) at each evaluation date. All statistical analyses were carried out in RStudio (R version 3.3.0).

3. Results and Discussion

3.1. EDX and TEM Characterization of AuNPs

Energy-dispersive X-ray spectroscopy (EDX) confirmed that the green-synthesized nanoparticles consisted chiefly of elemental gold (Figure 1). Characteristic plasmonic absorption peaks were observed near 2 and 12 keV, consistent with metallic AuNPs. Minor copper (Cu) signals arose from the TEM grid used during analysis.
Transmission electron microscopy (TEM) micrographs revealed a predominantly spherical morphology with a narrow size distribution (Figure 2a). The size-frequency histogram indicated a mean particle diameter of 29.8 nm (Figure 2b), confirming the homogeneity of the synthesized AuNPs.

3.2. In-Vitro Susceptibility of AuNPs to T. urticae

The concentration–response bioassay performed under controlled laboratory conditions (Table 2) confirmed that all developmental stages of T. urticae are susceptible to green-synthesized AuNPs. Mortality increased steadily from the lowest rate tested (75 mg L−1) to the highest (175 mg L−1). Egg hatching was inhibited by 25% at 75 mg L−1 and rose to 46% at 175 mg L−1 (F3,36 = 166.6, p < 0.0001). Among mobile stages, larvae were the most vulnerable: mean mortality climbed from 55 ± 1.7% to 98 ± 1.5% (F3,36 = 203.5, LSD = 6.82). Protonymphs and deutonymphs exhibited similar concentration-dependent responses, reaching 96% and 93% mortality, respectively, at 175 mg L−1. Adults were consistently the least affected stage, yet mortality still exceeded 70% at the highest concentration (F3,36 = 275.5, CV = 6.15%). Different letters in Table 2 denote statistically distinct means (LSD, α = 0.05).
Stage-specific LC50 and LC95 values are presented in Table 3. Eggs required the highest concentration to attain 50% inhibition (LC50 = 162 mg L−1; 95% FL = 143–180 mg L−1), whereas larvae were the most susceptible (LC50 = 60.5 mg L−1). LC50 values for protonymphs (83.8 mg L−1) and deutonymphs (94.5 mg L−1) fell between those of larvae and adults (112 mg L−1). The botanical ovicide Atzingao® was markedly less potent against eggs (LC50 = 2801 mg L−1), while the synthetic acaricide phorate™ exhibited far greater potency against adults (LC50 = 18.8 mg L−1). Slopes of the probit lines ranged from 2.85 to 4.89, indicating moderately steep concentration–mortality relationships.
For the lethal times (LT50 and LT90) at the three AuNPs concentrations (100, 200, and 300 mg L−1) on the motile stages of T. urticae, the results show that the LT depended on the concentration and the developmental stage of the mite. T. urticae larvae showed a high susceptibility to AuNPs, with an LT that decreased significantly with increasing concentration. The lowest concentration (100 mg L−1) showed an LT 50 of 36.8 h; this time decreased to 24.8 h at a concentration of 200 mg L−1 and to 13.4 h at 300 mg L−1. The LT90 also showed a decreasing trend, going from 69.1 to 31.2 h as the concentration increased. Protonymphs showed a similar response to the larval stage, although with longer lethal times (LTs); at 100 mg L−1, the LT50 was 43.5 h, decreasing to 32.7 h at 200 mg L−1 and reaching 24.8 h at 300 mg L−1, while the LT90 also decreased from 136 to 43.6 h with increasing concentration. Deutonymphs showed LTs comparable to protonymphs; at 100 mg L−1, the LT50 was 43.8 h, decreasing to 32.8 h at 200 mg L−1 and finally to 24.7 h at 300 mg L−1, and the LT90 decreased from 141 to 51.7 h as the concentration increased. Adults were the least susceptible stage to AuNPs, with longer LTs compared to the other stages; at 100 mg L−1, the LT50 was 42.4 h, decreasing to 34.1 and 24.9 h at 200 and 300 mg L−1, respectively; in addition, the LT90 also showed a significant reduction, going from 135 to 49.7 h as the concentration increased (Table 4).

3.3. In-Vitro Susceptibility of AuNPs to P. persimilis

Adult P. persimilis were less susceptible to AuNPs than T. urticae larvae but more tolerant than the pest’s adult stage. Probit analysis at 120 h after application yielded an LC50 of 107 mg L−1 (95% FL = 89.2–120 mg L−1) and an LC95 of 215 mg L−1 (192–257 mg L−1) (Table 5). By contrast, phorate™ (80 mg L−1) produced an LC50 of 15.7 mg L−1, confirming its much higher acute toxicity to the predator.
With respect to the lethal times (LT50 and LT90) of AuNPs on adults of P. persimilis at three concentrations, 100, 200, and 300 mg L−1, these decrease as the concentration of NPs increases, suggesting a clear concentration-dependent relationship, similar to what was observed in T. urticae. At the lowest concentration (100 mg L−1), the LT50 was 40.1 h, with a confidence interval of 35.1 to 44.8 h, while the LT90 was 105 h, with a confidence interval of 88.1 to 136 h. At the intermediate concentration of 200 mg L−1, the LT50 was reduced to 36.4 h, with a confidence interval of 33.0 to 39.6 h, and the LT90 to 93.5 h, with a confidence interval of 82.6 to 110 h. At the highest concentration (300 mg L−1), the LT50 was 23.4 h, with a confidence interval of 22.2 to 24.6 h, and the LT90 was 45.7 h, with a confidence interval of 43.6 to 48.2 h. The chemical control showed significantly shorter lethal times due to its mode of action compared to the AuNPs, with an LT50 of 4.06 h and an LT90 of 11.2 h (Table 6).

3.4. Selectivity Ratio (SR) Based on Adult LC50 Values

The median lethal concentrations (LC50) for T. urticae and P. persimilis adults, along with the selectivity ratio (SR) and their interpretation, are presented in Table 7. The LC50 for T. urticae was 112 mg L−1, while for P. persimilis it was 107 mg L−1, resulting in a SR of 0.95. A SR value close to 1 indicates that the AuNPs do not exhibit selectivity toward P. persimilis. Based on the LC50 values, we can determine that the AuNPs were more toxic to P. persimilis compared to T. urticae (according to SR), although the values are very similar. In contrast, the reference chemical witness (phorate™) showed an LC50 of 4.31 mg L−1 for T. urticae and 15.5 mg L−1 for P. persimilis, with a PS of 3.64. This value reflects selectivity toward P. persimilis compared to T. urticae, causing less harm to the predator.
Gold nanoparticles exhibit unique physicochemical and biological properties that arise from their nanoscale size, high surface–area-to-volume ratio, and capacity to cross biological barriers [58,59]. Numerous green-synthesized AuNPs, prepared from plant extracts of Artemisia vulgaris L. (Asteraceae) and Jatropha curcas L. (Euphorbiaceae), have been explored chiefly against Aedes spp. Meigen (Diptera: Culicidae) mosquitoes and German cockroach Blattella germanica (Blattodea: Blattellidae) [60,61,62,63], highlighting the potential of such nanoparticles for controlling medically important vectors.
Our LC50 for T. urticae adults (112 mg L−1) is higher than the range reported for third-instar Aedes aegypti L. (Diptera: Culicidae) larvae exposed to Cymbopogon citratus Stapf (Poaceae)-derived AuNPs (19–41 mg L−1) [64]. Similarly, Jasminum nervosum Lour (Oleaceae) AuNPs showed an LC50 of 82.6 mg L−1 against Culex quinquefasciatus Say (Diptera: Culicidae) third instars, with an LT50 of 4.5 h at 150 mg L−1 [65], substantially faster than the lethal times recorded here for T. urticae and P. persimilis. These disparities likely reflect inter-specific differences in susceptibility, nanoparticle synthesis routes, and exposure pathways.
The prolonged LT values observed in both mite species relative to the neurotoxic reference compound phorate™ further suggest that AuNPs act via slower, multi-target mechanisms. Proposed modes of action include oxidative stress, cuticular disruption, and digestive system impairment [39]. Tissue-level effects such as ovarian degeneration, altered gene expression, and apoptosis have been documented in Trachyderma hispida (Coleoptera: Tenebrionidae) [66], while accumulation and sublethal developmental impacts were reported for B. germanica [61]. AuNPs have also been shown to impair locomotion in Blaberus discoidalis Serville (Blattodea: Blaberidae) [67] and reduce larval weight, fecundity, and survival in Pericallia ricini (F.) (Lepidoptera: Erebidae) [68], underscoring their potential for chronic or behavioral disruption.
Taking together, our data demonstrates that green-synthesized AuNPs possess acaricidal activity against T. urticae, albeit at higher concentrations and longer exposure periods than those reported for certain insect pests. The moderate selectivity ratio (SR ≈ 1) indicates a risk to P. persimilis at doses required for effective spider-mite control. Future optimization of synthesis parameters (e.g., capping agents, particle size) and delivery methods may enhance efficacy while improving predator safety. Additionally, the inherent ability of T. urticae to develop resistance [4] warrants investigation into potential resistance-breaking properties of AuNPs under semi-field and field conditions.

3.5. Repellency of AuNPs on T. urticae

The repellency results for three sublethal concentrations of AuNPs—53.2 mg L−1 (LC10), 68.6 mg L−1 (LC20), and 82.5 mg L−1 (LC30)—against T. urticae under laboratory conditions show that, at 2 h after arena set-up (haa), LC30 produced the highest repellency percentage (52.0%), with a repellency index (RI) of 0.60, classified as “moderate repellency”. LC10 and LC20 yielded lower values (28.0% and 36.0%, respectively), with no significant differences between them. At 4 haa, treatments LC20 and LC30 (68.6 and 82.5 mg L−1) showed the greatest repellency percentages (both 52.0%), whereas LC10 (53.2 mg L−1) gave the lowest value (38.7%). The RI for LC30 was 0.44, classified as “high repellency”, and differed significantly from LC10 and LC20. At 6 haa, LC30 (82.5 mg L−1) again produced the highest repellency (58.6%), with an RI of 0.40, also classed as “high repellency”; this treatment differed statistically from LC20 (54.6%) and LC10 (42.6%). At 12 haa, values ranged from 41.3% (LC10) to 56.0% (LC30). Although LC30 achieved the greatest repellency, no significant differences were detected among treatments. RI was classified as “high” for LC20 and LC30 and “moderate” for LC10. At 24 haa, LC20 (68.6 mg L−1) and LC30 (82.5 mg L−1) displayed similar repellency (41.3% and 46.6%, respectively) with no significant differences; RI was classified as “high” for LC20 and “moderate” for LC30. At 48 haa, LC30 and LC20 maintained comparable repellency levels (42.6% and 34.6%, respectively) without significant differences; both were rated as “moderate repellency”. During this interval, LC10 (53.2 mg L−1) showed a decline, with an RI of 0.80, classified as “weak repellency”. At 72 haa, the AuNP treatments exhibited similar repellency, with no significant differences; values ranged from 21.3% for LC10 to 37.3% for LC30, with RI classified as “moderate” for LC20 and LC30 and “weak” for LC10. The product eBioluzion Plus VO™ produced the highest effect throughout the test, with repellency categories ranging from “high” to “very high”, whereas the control (water + DSS) showed RI values classified as “weak repellency” or “no repellency” (Table 8).

3.6. Repellency of AuNPs on P. persimilis

The repellency of gold nanoparticles (AuNPs) against adult females of P. persimilis was evaluated under laboratory conditions at three sublethal concentrations: 52.8 mg L−1 (LC10), 67.2 mg L−1 (LC20), and 80.0 mg L−1 (LC30) (Table 9). At 2 (haa), LC20 and LC30 exhibited the highest repellency values (40.0% and 54.7%, respectively), both classified as “moderate repellency”, with no significant difference between them. At 4 haa, repellency increased for LC20 (56.0%) and LC30 (66.6%), both rated as “high repellency”, whereas LC10 reached 50.6%, remaining in the “moderate” category. Although statistical differences were not observed among the AuNP treatments at this time, LC10 was consistently lower. At 6 haa, LC30 elicited the highest repellency (73.3%), with a repellency index (RI) of 0.32, classified as “very high repellency”. However, no significant difference was observed compared to LC20 (72.0%; RI = 0.28), also classified as “high repellency”. LC10 reached 62.6% (RI = 0.44), maintaining a “high repellency” rating, with no statistical differences among AuNP treatments. Repellency peaked at 12 haa, with LC30 and LC20 reaching 81.3% and 78.6%, respectively (both RI = 0.20, “very high repellency”). LC10 also showed high repellency (70.6%; RI = 0.28), with no significant differences among treatments at this time.
A general decline in repellency was observed at 24 haa. LC30 maintained the highest effect (61.3%; “very high”), followed by LC10 (53.3%) and LC20 (52.0%), both classified as “high” or “moderate repellency”, depending on the RI. At 48 and 72 haa, repellency continued to decline across all the treatments. Values ranged from 44.0% (LC30) to 52.0% (LC10 and LC20) at 48 haa, and from 37.3% (LC10) to 44.0% (LC30) at 72 haa. Repellency indices at these times were classified as “moderate” for all the AuNP treatments, and no significant differences were detected.
The repellent effect of AuNPs was more pronounced on P. persimilis than on T. urticae, particularly at the LC10 and LC20 concentrations, with maximum repellency observed at 12 h. Thereafter, a gradual decline in repellency was recorded for both species, reaching the lowest values at 72 h. Throughout the assay, P. persimilis consistently exhibited higher repellency percentages, suggesting a greater sensitivity to AuNP exposure compared to T. urticae. These findings are consistent with previous studies [10,69,70], which reported that various botanical compounds and nanoparticle-based products can affect not only pest species but also their natural enemies. This differential response may be attributed to the presence of biologically active constituents—such as primary and secondary metabolites—originating from C. illinoinensis extract, used as a reducing agent during the green synthesis of AuNPs. Metabolites in the extract, particularly phenolic compounds, terpenes, and fatty acids, have been shown to influence arthropod behavior [71]. Their presence in the nanoparticles could explain the behavioral changes observed in both mite species. In particular, fatty acids such as oleic, linoleic, and linolenic acids—identified in Carya extracts—have demonstrated biological activity and may contribute to the repellency effect induced by the AuNPs [72,73,74].

3.7. Efficacy of AuNPs Against T. urticae in Tomato Under Greenhouse Conditions

The results of the efficacy of NPs on the average number of development stages of T. urticae in the tomato crop variety Rio Grande on the four evaluation dates during the efficacy study under greenhouse conditions are shown in Table 10.
  • Egg Stage
At 10 days after the first application (10 DA1A), all the AuNP treatments—regardless of dose—achieved 63% efficacy, while the chemical standard phorate™ reached 68%. By 20 DA1A, the 750 and 1000 mg L−1 AuNP doses showed the highest efficacy (84%), followed by 500 mg L−1 (73%) and 300 mg L−1 (68%). Phorate™ efficacy decreased slightly to 68%. At 30 DA1A, the 1000 mg L−1 AuNP treatment maintained its efficacy (84%), with 750 mg L−1 at 80%, and the lower doses ranging from 72 to 75%. Phorate™ continued to decline, reaching 66%. Although no significant differences were detected among the AuNP doses, 1000 mg L−1 was consistently the most effective across all sampling dates.
  • Larval Stage
At 10 DA1A, the 1000 mg L−1 AuNP treatment provided the highest larval control (72%), while the 300, 500, and 750 mg L−1 doses reached 32%, 33%, and 47%, respectively, with no significant differences among them. Phorate™ achieved 100% efficacy. At both 20 and 30 DA1A, the 1000 mg L−1 dose again outperformed all others (79%), whereas the remaining AuNP treatments showed moderate control (46–65%), and phorate™ decreased to 63–64%.
  • Protonymph Stage
Phorate™ yielded complete (100%) control at 10 DA1A, followed by 1000 mg L−1 AuNPs (69%). Lower doses provided reduced efficacy (25–59%). At 20 and 30 DA1A, both 1000 mg L−1 AuNPs and phorate™ achieved 100% control. The remaining AuNP treatments did not differ significantly from each other. No statistical differences were found between 1000 mg L−1 and phorate™ across any evaluation date.
  • Deutonymph Stage
At 10 DA1A, both the 1000 mg L−1 AuNP and phorate™ treatments achieved full control (100%). The lower doses (300–750 mg L−1) resulted in efficacy values between 62% and 71%, with no significant differences among them. By 20 DA1A, 1000 mg L−1 maintained 100% efficacy, while phorate™ declined to 70%; the lower AuNP concentrations ranged between 71% and 74%. At 30 DA1A, 1000 mg L−1 remained the most effective (84%), followed by 750 mg L−1 (79%). Phorate™ and 300 mg L−1 both reached 72%. On this date, 1000 mg L−1 AuNPs differed significantly from all other treatments.
  • Adult Stage
At 10 DA1A, the 1000 mg L−1 AuNP treatment provided the highest efficacy (88%), slightly surpassing phorate™ (87%). The 300–750 mg L−1 doses showed efficacy ranging from 72% to 77%, without significant differences. At 20 DA1A, 750 mg L−1 AuNPs peaked at 86%, followed by 1000 mg L−1 (82%), while phorate™ was at 74%. The lower doses ranged from 65 to 72%. At 30 DA1A, 1000 mg L−1 AuNPs again achieved the highest efficacy (84%), followed by 750 mg L−1 (79%). Phorate™ dropped to 72%, with the 300 and 500 mg L−1 treatments showing 72% and 74%, respectively. On this final date, the 1000 mg L−1 treatment was significantly more effective than all others.
Across all developmental stages of T. urticae, the 1000 mg L−1 AuNP treatment consistently showed the highest efficacy, achieving up to 100% control in protonymphs and deutonymphs and 79–84% control in eggs, larvae, and adults. Intermediate doses (500–750 mg L−1) provided moderate efficacy, while the lowest concentration (300 mg L−1) was the least effective among the nanoparticle treatments. In contrast, phorate™ exhibited strong initial control but showed a gradual decline in performance over time in several stages. These findings support the concentration-dependent and stage-specific efficacy of AuNPs under greenhouse conditions.

3.8. Effect of AuNPs on Tomato Under Greenhouse Conditions

3.8.1. Continuous Agronomic Variables

The effect of AuNPs on the variables of chlorophyll content, height, and Brix degrees (petiole) during the effectiveness study on T. urticae at each sampling date in the tomato crop is shown in Table 11.
  • Chlorophyll Content
No significant differences in SPAD chlorophyll readings were observed among treatments at 10 and 20 days after the first application (DA1A). However, the highest AuNP concentrations (750 and 1000 mg L−1) tended to maintain slightly elevated values compared to the untreated. At 30 DA1A, significant differences were detected between treatments. Specifically, AuNPs at 500, 750, and 1000 mg L−1 preserved higher SPAD values (ranging from 49.17 to 49.67), while the 300 mg L−1 treatment and the untreated showed the lowest values (36.67 and 33.33, respectively).
  • Plant Height
At 10 DA1A, most treatments (AuNPs at 500, 750, and 1000 mg L−1 and phorate™) exhibited similar plant height values, whereas the 300 mg L−1 treatment and the untreated showed significant differences. By 20 DA1A, differences became more evident among treatments, with distinct groupings observed. AuNPs at 750 mg L−1 achieved the highest plant height (42.33 cm), although this value was not statistically different from those obtained with the untreated, phorate™, or 300 mg L−1 AuNPs. The lowest plant height was recorded for 500 mg L−1 (38.0 cm). Most treatments grouped statistically under the “ab” and “abc” categories, indicating intermediate performance. At 30 DA1A, differences were not significant (p = 0.119), although a general trend was observed, with most treatments clustering in the “ab” group. Again, the 750 mg L−1 AuNPs yielded the tallest plants (42.33 cm), maintaining superiority over or equivalence to the untreated at both 20 and 30 DA1A.
  • °Brix
At 10 DA1A, phorate™ recorded the highest °Brix value (7.50 °Bx; group “a”), followed by the 1000 mg L−1 AuNP treatment (6.90 °Bx; group “b”). The remaining treatments were statistically grouped into categories “c” and “d”, with 300 mg L−1 showing the lowest value (6.00 °Bx). Highly significant differences were observed at 20 DA1A (p = 2 × 10−16), with phorate™ again yielding the highest °Brix (13.0 °Bx; group “a”), followed by 1000 mg L−1 (12.0 °Bx; group “b”), while 500 and 750 mg L−1 treatments formed group “c”. The lowest values were observed for 300 mg L−1 and the untreated (both at 9.0 °Bx; group “d”). At the final sampling (30 DA1A), significant differences persisted (p = 2.86 × 10−5). The highest °Brix values were observed in the 500, 750, and 1000 mg L−1 AuNP treatments (10.3 to 10.6 °Bx; group “a”), followed by 300 mg L−1, phorate™, and the untreated (9.0 °Bx; group “b”). Overall, the application of AuNPs positively influenced °Brix content in most treatments when compared to the untreated, with 1000 mg L−1 yielding the highest values among AuNPs treatments, even surpassing phorate™ at the final evaluation date (30 DA1A).

3.8.2. Harvest Agronomic Variables

The effect of AuNPs on fruit-related variables—number, polar and equatorial diameter, stem, weight, Brix, TDS, pH—as well as the fresh and dry weight of the total leaf area of the tomato plant are shown in Table 12.
  • Fruits per Plant
The AuNP concentration of 1000 mg L−1 resulted in the highest number of fruits per plant, with an average of 11.6, which was significantly greater than all other treatments. The 750 mg L−1 AuNPs treatment ranked second, producing 7.6 fruits per plant—values significantly higher than both the untreated and phorate™. The 500 mg L−1 AuNPs treatment yielded 6.3 fruits per plant, and phorate™ produced 5.6; no significant difference was found between these two, although both performed better than the untreated. The lowest AuNP dose (300 mg L−1) produced 5.5 fruits per plant, statistically comparable to phorate™ but significantly lower than the 750 and 1000 mg L−1 concentrations. The untreated recorded the lowest fruit count, with an average of 3.3 fruits per plant, which was significantly lower than all other treatments. The 750 and 1000 mg L−1 AuNP concentrations significantly increased fruit production per plant.
  • Polar Diameter
Regarding polar fruit diameter, no statistically significant differences were observed among treatments (p > 0.05). Although AuNPs at 500 mg L−1 and phorate™ exhibited the highest mean values (both 8.2 cm), these were not statistically different from the other treatments.
  • Equatorial Diameter
The 500 mg L−1 AuNP treatment produced the largest equatorial fruit diameter (6.9 cm), significantly higher than the rest. Phorate™ and 500 mg L−1 AuNPs showed similar values. The 300 mg L−1 concentration (5.8 cm) yielded a slightly smaller diameter compared to phorate™ and 500 mg L−1, though without significant differences. The 1000 mg L−1 treatment (5.6 cm), the 750 mg L−1 (5.5 cm), and the untreated (5.6 cm) exhibited the smallest equatorial diameters, with no significant differences among them. The 500 mg L−1 AuNPs concentration was the only treatment that significantly increased equatorial diameter in tomato fruits.
  • Peduncle Length
No statistically significant differences were found among the treatments for peduncle length. All the treatments showed similar values, indicating that none of them significantly affected this trait.
  • Fruit Weight
Fruit weight was significantly influenced by phorate™ and AuNPs at 500 mg L−1. Phorate™ produced the heaviest fruits (82.4 g), significantly greater than all other treatments. The 500 mg L−1 AuNP treatment followed closely with 80.0 g. The 300 mg L−1 treatment yielded slightly lower values (74.9 g). The treatments with 750 mg L−1 and 1000 mg L−1 and the untreated produced the lightest fruits, without significant differences among them.
  • Fruit Hardness
In terms of fruit firmness, AuNPs at 750 and 1000 mg L−1 resulted in the highest values, reaching 2.83 and 2.90 kg/cm2, respectively, and forming a statistically superior group (“a”). These values were significantly higher than those recorded for AuNPs at 300 and 500 mg L−1, phorate™, and the untreated (2.30–2.46 kg/cm2; group “b”).
  • Degrees Brix (°Bx)
The highest °Brix values were observed in the phorate™ and untreated treatments (6.3 °Bx), both significantly greater than the other treatments. The 300 mg L−1 AuNP treatment showed similar results (6.0 °Bx), statistically comparable to phorate™ and the control. The 500, 750, and 1000 mg L−1 AuNP treatments showed lower °Brix values (5.8, 5.7, and 5.2 °Bx, respectively), with the 1000 mg L−1 dose being significantly lower than the rest. Phorate™ and the control treatments produced the highest °Brix values in tomato fruit.
  • Total Dissolved Solids (TDS)
Phorate™ treatment recorded the highest TDS value (2128 mg L−1), significantly higher than all other treatments. The control ranked second with 1588.7 mg L−1. Among AuNP treatments, the 300 mg L−1 dose had the highest TDS (1373.5 mg L−1), significantly higher than the 500 (1140.0 mg L−1), 750 (1160.0 mg L−1), and 1000 mg L−1 (1079.3 mg L−1) treatments, which did not differ significantly from one another. Phorate™ significantly increased total dissolved solids in tomato fruits.
  • pH
The untreated exhibited the highest pH value (7.2), significantly higher than all other treatments, followed by phorate™ at 5.0. Among AuNP treatments, there was a concentration-dependent trend: higher AuNP concentrations led to increased pH values. The 1000 mg L−1 treatment reached 4.7, followed by 750 mg L−1 (4.3), 500 mg L−1 (3.6), and 300 mg L−1 (3.4), though no significant differences were found between the latter two. Overall, AuNPs significantly reduced tomato fruit pH compared to the untreated.
  • Fresh and Dry Weight of Leaf Area
The 1000 mg L−1 (407 g) and 750 mg L−1 (399 g) AuNP treatments resulted in the highest fresh weights of leaf area, significantly higher than the remaining treatments. The untreated, with 372 g, showed a similar effect but slightly lower values. The 300 mg L−1 concentration (389 g) did not differ significantly from the 750 and 1000 mg L−1 treatments. Phorate™ (352 g) had a lower value than all the AuNP treatments except for the 500 mg L−1 treatment, which yielded the lowest value (225 g), significantly lower than the rest. Both 750 and 1000 mg L−1 AuNPs significantly increased the fresh weight of tomato leaf area. Regarding dry weight, the 1000 mg L−1 AuNP treatment achieved the highest value (116.2 g), significantly greater than all other treatments. The untreated (97.9 g) and 300 mg L−1 AuNPs (94.9 g) followed, with no significant differences between them. The lowest dry weights were recorded in the phorate™ (90.2 g), 750 mg L−1 (88.6 g), and 500 mg L−1 AuNP (74.6 g) treatments.
Various studies have demonstrated that gold can accumulate in different plant tissues [75]. AuNPs can be absorbed through foliar or root uptake, depending on their size, shape, surface charge, chemical composition, and plant species [76]. While the use of AuNPs in biological systems has been widely studied, their effects on the growth and development of model or crop plants remain poorly understood. Although several investigations have been conducted on different plant species [75], the underlying factors related to AuNP accumulation, translocation, and movement within tissues, as well as their physiological or tolerance-related effects under biotic or abiotic stress conditions, are still not fully elucidated [77,78].
It is known that most plant defenses against herbivores, including phytophagous mites, are induced by the pest itself, beginning with a local response at the site of injury or infestation, followed by systemic responses in undamaged tissues [79]. In the case of T. urticae and its interaction with plants, the induction process is initiated through contact, feeding vibrations, oral secretions, and oviposition fluids [80]. These events trigger changes such as membrane potential alterations (Vm), cytosolic Ca2+ influx, and increased levels of reactive oxygen/nitrogen species (ROS/RNS). These processes are further modulated by the salivary recombinant proteins Tet1 and Tet2 in T. urticae, which are known to induce defense responses in host plants [81]. Reactive oxygen species (ROS) can be associated with the application of AuNPs and in turn be associated as defense mechanisms against different pest arthropods.
The role of ROS has been associated not only with T. urticae infestation but also with AuNP exposure. Ref. [82] reported that seedlings of Arabidopsis thaliana (L.) Heynh (Brassicaceae) exposed to AuNPs at concentrations of 10 and 80 μg mL−1 exhibited ROS inhibition levels 3.54 and 2.59 times higher, respectively, suggesting a radical-scavenging effect of AuNPs. Enzymatic activity of ascorbate peroxidase, catalase, glutathione reductase, and superoxide dismutase also significantly increased. In another study, ref. [83] found that AuNP-treated Arabidopsis plants showed upregulation of stress-response genes, including glutathione transferases, cytochrome P450s, glycosyl transferases, and peroxidases. These findings suggest that in our study, the observed reduction in T. urticae populations may have been due not only to the direct toxicity of AuNPs but also to plant-mediated responses, possibly involving changes in ROS levels following foliar AuNP application.
The toxic effects of AuNPs on arthropods have also been documented. Ref. [61] reported effects on B. germanica, specifically on ootheca viability and postembryonic development (nymphal survival and longevity). Gold accumulation was observed in adult cockroaches; while ootheca formation and hatching time were unaffected, viability was reduced by approximately 25%, and the number of nymphs decreased by 32.8%. Similarly, ref. [66] reported ovarian tissue damage in T. hispida caused by sublethal AuNP exposure (0.01 mg/g), accompanied by significant inhibition of antioxidant enzymes—consistent with oxidative damage mechanisms described by [39]. Ref. [84] also reported oxidative stress induced by ZnO-NPs (50–100 µg/mL), affecting hemocyte counts and upregulating genes such as GST, CNDP2, and CE. Ref. [85] described similar toxic effects of Al2O3 NPs on Locusta migratoria (L.) (Orthoptera: Acrididae), including antioxidant biomarker disruption, DNA damage, apoptosis, and testicular tissue degeneration, indicating ROS overproduction. Since AuNPs can penetrate biological membranes quickly and generate ROS, they raise concerns about potential toxicity in specific plant and animal tissues [86,87,88,89].
It is also known that AuNPs can affect plant growth. Ref. [90] reported that AuNPs applied to Brassica juncea (L.) Czern (Brassicaceae) altered morphological traits such as plant height, number of stems and leaves, and pod formation [91]. In A. thaliana, ref. [82] found enhanced seed germination, vegetative growth, and ROS scavenging activity after AuNP exposure. Ref. [92] also reported increased root growth, larger rosette diameters, and reduced oxidative stress in A. thaliana treated with AuNPs, findings consistent with [93]. In Vigna unguiculata (L.) Walp (Fabaceae), AuNPs promoted shoot and root growth and induced phenolic compound accumulation, conferring gold tolerance [94]. These phenolic compounds were previously linked to purple coloration in AuNP-exposed plants [95]. Conversely, negative growth effects have also been reported [96], though the mechanisms remain unclear. It is established that AuNPs modulate ROS levels and enzyme systems that mitigate oxidative damage and improve stress tolerance [97,98]. Ref. [99] found that AuNP exposure in B. juncea reduced growth by increasing oxidative stress and antioxidant enzyme activity. These results align with our findings, where plant growth was affected at 20 and 30 DA1A, possibly due to both the AuNPs and damage caused by T. urticae, as ROS are involved in mite defense responses [8].
High AuNP concentrations in chloroplasts may affect photosynthetic sugar storage. Some reducing sugars may interact with AuNPs [77]. Ref. [91] reported increased reducing and total sugars in B. juncea after AuNP exposure. In our study, Brix values in petiole sap increased significantly at 20 and 30 DA1A compared to the untreated. In contrast, fruit Brix values decreased as AuNP concentrations increased. Ref. [100] proposed that sugars may be involved in gold reduction within plant tissues, which may explain the contrasting trends observed between petiole and fruit °Brix values.
In terms of biomass, ref. [91] proposed a relationship between AuNPs and ethylene modulation, suggesting that AuNPs adsorb ethylene, thus delaying senescence and increasing leaf number in B. juncea. Conversely, ref. [101] reported reduced biomass and phytotoxic effects in Hordeum vulgare L. (Poaceae), indicating species-specific responses. Ethylene is a phytohormone involved in ripening and senescence [102,103], which correlates with leaf area and other agronomic traits. In this study, fresh leaf weight was affected by AuNP concentration. Ref. [82] also reported accelerated flowering in A. thaliana (up to 15 days earlier), increasing total seed production in plants treated with 10 μg mL−1 AuNPs. Similarly, in our study, the evaluated tomato variety (determinate type) flowered approximately 10 days earlier under all the AuNP treatments and produced more fruits per plant at higher concentrations.
AuNPs may influence several physiological processes, including growth rate, water exchange, photosynthesis, antioxidant responses, and gene expression under both normal and stress conditions, as shown across various plant taxa [104]. The SPAD values in this study were comparable across treatments, though ROS overproduction may impact chlorophyll content and photosynthetic efficiency. Ref. [97] linked AuNPs with aquaporin disruption, affecting cellular ionic and osmotic balance, potentially altering photosynthesis. Additionally, T. urticae feeding likely impacted SPAD values, especially at the lowest AuNP concentration (300 mg L−1), where mite damage was more pronounced.
This research highlights the potential of AuNPs as tools for integrated pest management. However, further investigation is necessary to evaluate their behavior in agroecosystems, including interactions with soil and rhizosphere, effects on non-target organisms, plant persistence, and implications for food safety and human health. These considerations are crucial to assess their sustainability and viability in modern agricultural systems.

4. Conclusions

In the laboratory, T. urticae showed susceptibility at all the developmental stages evaluated (egg, larva, protonymph, deutonymph, and adult). P. persimilis had a lower LC50 than T. urticae, resulting in a negative selectivity ratio (SR = 0.95), suggesting lower compatibility and greater sensitivity in the natural enemy. Lethal times were influenced by both concentration and developmental stage. AuNPs exerted a moderate to high repellent effect on T. urticae, with even greater repellency observed in P. persimilis.
Under greenhouse conditions, AuNPs showed >80% efficacy against multiple developmental stages of T. urticae. Continuous agronomic parameters were also affected.
Based on the results obtained, the four AuNP concentrations evaluated were effective for controlling T. urticae. However, the concentrations of 750 and 1000 mg L−1 were particularly effective on all three evaluation dates, so their application at 10-day intervals, adjustable according to the mite population density, is suggested. The AuNPs were effective against all biological stages of T. urticae, indicating that they can be applied foliarly with good coverage, preferably as a preventative measure or in situations of low population density. Furthermore, the concentrations evaluated did not show phytotoxicity to plants under the established application frequencies.
For future research, it is recommended to further study the dynamics of nanoparticles in the agroecosystem, especially their interaction with the plant and its edible organs. It is also recommended to include analysis of AuNPs in fruit to establish food safety parameters and contribute to the development of regulatory standards that guarantee their responsible use in agricultural systems, since their impact on the end consumer is unknown. This recommendation is based on the results obtained, which show that AuNPs modify agronomic parameters in tomato crops.
These findings support the potential of AuNPs as a management alternative for T. urticae, in addition to influencing agronomic parameters. However, in IPM programs targeting T. urticae that include P. persimilis as a biological control agent, it is important to consider that the predator is more susceptible to AuNPs than the pest.

Author Contributions

Conceptualization, J.G.O.-G., S.N.R.-B., and A.H.-J.; methodology, A.H.-J., J.C.C.-H., L.A.A.-U., M.S.-V., A.A.N.-V., H.I.M.-O., and J.G.O.-G.; software, J.I.G.-L., J.C.C.-H., E.C.-C., and H.I.M.-O.; validation, J.G.O.-G., A.H.-J., E.C.-C., and H.I.M.-O.; formal analysis, J.C.C.-H., J.I.G.-L., M.S.-V., and A.A.N.-V., investigation, J.G.O.-G., S.N.R.-B., and A.H.-J.; resources, all authors; data curation, J.I.G.-L., J.C.C.-H., and H.I.M.-O.; writing—original draft preparation, J.G.O.-G., A.H.-J., A.A.N.-V., and L.A.A.-U.; writing—review and editing, M.S.-V., J.G.O.-G., S.N.R.-B., L.A.A.-U.; A.A.N.-V., and A.H.-J.; visualization, J.G.O.-G., S.N.R.-B., M.S.-V., E.C.-C., and A.H.-J.; supervision, J.G.O.-G., J.I.G.-L., L.A.A.-U., and A.H.-J.; project administration, J.G.O.-G. and A.H.-J.; funding acquisition, A.H.-J.; final review and editing of the text, all authors. All the authors have read and agreed to the published version of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research project was carried out with funding from Secihti (No. 863792) and internal funding from Universidad Autónoma Agraria Antonio Narro (UAAAN), through the Research Department, Project No. 38111-425101001-2342 “Control de Bactericera cockerelli (Sulc) y Tetranychus urticae Koch con nanopartículas de oro y plata y sus efectos sobre sus enemigos naturales en solanáceas”.

Data Availability Statement

The data are available upon reasonable request to the corresponding author’s email address.

Acknowledgments

To the Secretaría de Ciencia, Humanidades, Tecnología e Innovación (Secihti) of Mexico, which provided a scholarship for graduate students, and to the UAAAN and the Centro de Investigación en Química Aplicada (CIQA) in Saltillo, Coahuila, Mexico for the characterization of the nanoparticles (AuNPs).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. CABI Compendium. Tetranychus urticae (two-Spotted Spider Mite). 2021. Available online: https://doi.org/10.1079/cabicompendium.53366 (accessed on 9 July 2025).
  2. Van Leeuwen, T.; Vontas, J.; Tsagkarakou, A.; Dermauw, W.; Tirry, L. Acaricide resistance mechanisms in the two-spotted spider mite Tetranychus urticae and other important Acari: A review. Insect Biochem. Mol. Biol. 2010, 40, 563–572. [Google Scholar] [CrossRef] [PubMed]
  3. Ilias, A.; Vontas, J.; Tsagkarakou, A. Global distribution and origin of target site insecticide resistance mutations in Tetranychus urticae. Insect Biochem. Mol. Biol. 2014, 48, 17–28. [Google Scholar] [CrossRef] [PubMed]
  4. Van Leeuwen, T.; Tirry, L.; Yamamoto, A.; Nauen, R. The economic importance of acaricides in the control of phytophagous mites and an update on recent acaricide mode of action research. Pestic. Biochem. Phsyiol. 2015, 121, 12–21. [Google Scholar] [CrossRef]
  5. Mota-Sanchez, D.; Wise, J.C. The Arthropod Pesticide Resistance Database. Michigan State University. 2024. Available online: http://www.pesticideresistance.org (accessed on 10 July 2025).
  6. Bolland, H.R.; Gutierrez, J.; Flechtmann, C.H.W. World Catalogue of the Spider Mite Family (Acari: Tetranychidae); K. Brill: Leiden, The Netherlands, 1998; 392p. [Google Scholar]
  7. Ximénez, E.M.G.; Castañera, P.; Ortego, F. Drought stress in tomato increases the performance of adapted and non-adapted strains of Tetranychus urticae. J. Insect Physiol. 2017, 96, 73–81. [Google Scholar] [CrossRef] [PubMed]
  8. Santamaria, M.E.; Arnaiz, A.; Rosa, D.I.; González, M.P.; Romero, H.G.; Ojeda, M.D.A.; Garcia, A.; Contreras, E.; Martinez, M.; Diaz, I. Plant Defenses Against Tetranychus urticae: Mind the Gaps. Plants 2020, 9, 464. [Google Scholar] [CrossRef]
  9. Hossain, S.; Haque, M.M.; Nader, N. Control of two spotted spider mite Tetranychus urticae Koch (Acari: Tetranychidae) by some selected chemicals. Univ. J. Zool. Rajshahi Univ. 2006, 25, 15–18. [Google Scholar] [CrossRef]
  10. Attia, S.; Grissa, K.L.; Lognay, G.; Bitume, E.; Hance, T.; Mailleux, A.C. A review of the major biological approaches to control the worldwide pest Tetranychus urticae (Acari: Tetranychidae) with special reference to natural pesticides: Biological approaches to control Tetranychus urticae. J. Pest Sci. 2013, 86, 361–386. [Google Scholar] [CrossRef]
  11. Barzman, M.; Bàrberi, P.; Birch, A.N.E.; Boonekamp, P.; Dachbrodt-Saaydeh, S.; Graf, B.; Hommel, B.; Jensen, J.E.; Kiss, J.; Kudsk, P.; et al. Eight principles of integrated pest management. Agron. Sustain. Dev. 2015, 35, 1199–1215. [Google Scholar] [CrossRef]
  12. Herrera, P.A.M.; Mena, P.Y.M.; Mesa, C.N.C. Management alternatives for Tetranychus urticae Koch (Acari: Tetranychidae) in the Carica papaya L. Hybrid Tainung-1. Rev. Colomb. De Cienc. Hortícolas 2018, 12, 561–573. [Google Scholar] [CrossRef]
  13. Jakubowska, M.; Dobosz, R.; Zawada, D.; Kowalska, J. A Review of Crop Protection Methods against the Twospotted Spider Mite-Tetranychus urticae Koch (Acari: Tetranychidae)—With Special Reference to Alternative Methods. Agriculture 2022, 12, 898. [Google Scholar] [CrossRef]
  14. Chakravarthy, A.K. (Ed.) Innovative Pest Management Approaches for the 21st Century; Springer Nature: Singapore, 2020; pp. 201–391. [Google Scholar] [CrossRef]
  15. Yousef, H.A.; Fahmy, H.M.; Arafa, F.N.; Allah, M.Y.A.; Tawfik, Y.M.; Halwany, K.; El-Ashmanty, B.A.; Al-Anany, F.S.; Mohamed, M.A.; Bassily, M.E. Nanotechnology in pest management: Advantages, applications, and challenges. Int. J. Trop. Insect. Sci. 2023, 43, 1387–1399. [Google Scholar] [CrossRef]
  16. Rincón, R.A.; Rodríguez, D.; Coy, B.E. Botanicals against Tetranychus urticae Koch under laboratory conditions: A survey of alternatives for controlling pest mites. Plants 2019, 8, 272. [Google Scholar] [CrossRef] [PubMed]
  17. Golec, J.R.; Hoge, B.; Walgenbach, J.F. Effect of biopesticides on different Tetranychus urticae Koch (Acari: Tetranychidae) life stages. Crop. Prot. 2020, 128, 105015. [Google Scholar] [CrossRef]
  18. Bhullar, M.B.; Heikal, H.M.; Kaur, P.; Kaur, R. Efficacy of natural products and biorationals against two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae) infesting brinjal (Solanum melongena L.) under protected cultivation. Int. J. Acarol. 2021, 47, 677–683. [Google Scholar] [CrossRef]
  19. Pavan, A.M.; Da-Costa, T.; Marques, A.J.; Ethur, E.M.; Buhl, B.; Soares, G.L.G.; Ferla, N.J. The use of essential oils as an alternative for the control of Tetranychus urticae (Acari: Tetranychidae). Crop. Prot. 2024, 184, 106862. [Google Scholar] [CrossRef]
  20. Herdt, R.W. Biotechnology in agriculture. Annu. Rev. Environ. Resour. 2006, 31, 265–295. [Google Scholar] [CrossRef]
  21. Dwivedi, S.; Saquib, Q.; Al-Khedhairy, A.A.; Musarrat, J. Understanding the role of nanomaterials in agriculture. Microbial Inoculants in Sustainable Agricultural Productivity. Funct. Appl. 2016, 2, 271–288. [Google Scholar] [CrossRef]
  22. Khot, L.R.; Sankaran, S.; Maja, J.M.; Ehsani, R.; Schuster, E.W. Applications of nanomaterials in agricultural production and crop protection: A review. Crop Prot. 2012, 35, 64–70. [Google Scholar] [CrossRef]
  23. Kaphle, A.; Navya, P.N.; Umapathi, A.; Daima, H.K. Nanomaterials for agriculture, food and environment: Applications, toxicity and regulation. Environ. Chem. Lett. 2018, 16, 43–58. [Google Scholar] [CrossRef]
  24. Singh, R.P. Application of nanomaterials toward development of nanobiosensors and their utility in agriculture. In Nanotechnology: An Agricultural Paradigm; Springer: Singapore, 2017; pp. 293–303. [Google Scholar] [CrossRef]
  25. Saleem, H.; Zaidi, S.J. Recent Developments in the Application of Nanomaterials in Agroecosystems. Nanomaterials 2020, 10, 2411. [Google Scholar] [CrossRef]
  26. Adetuyi, B.O.; Olajide, P.A.; Omowumi, O.S.; Adetunji, C.O. Application of Plant-Based Nanobiopesticides as Disinfectant. Handb. Agric. Biotechnol. 2024, 1, 63. [Google Scholar] [CrossRef]
  27. Hadri, S.H.; Afzaal, A.; Saeed, L.; Arshad, A.; Nazeer, S.; Akram, M. Recent Advances in the Development of Nanoparticle Based Fertilizers for Different Kinds of Crops: A Review. Biocatal. Agric. Biotechnol. 2024, 58, 103194. [Google Scholar] [CrossRef]
  28. Jiang, X.; Yang, F.; Jia, W.; Jiang, Y.; Wu, X.; Song, S.; Shen, H.; Shen, J. Nanomaterials and Nanotechnology in Agricultural Pesticide Delivery: A Review. Langmuir 2024, 40, 18806–18820. [Google Scholar] [CrossRef] [PubMed]
  29. Nie, D.; Li, J.; Xie, Q.; Ai, L.; Zhu, C.; Wu, Y.; Gui, Q.; Zhang, L.; Tan, W. Nanoparticles: A Potential and Effective Method to Control Insect-Borne Diseases. Bioinorg. Chem. Appl. 2023, 2023, 5898160. [Google Scholar] [CrossRef]
  30. Kazemi, S.; Hosseingholian, A.; Gohari, S.D.; Feirahi, F.; Moammeri, F.; Mesbahian, G.; Moghaddam, Z.S.; Ren, Q. Recent advances in green synthesized nanoparticles: From production to application. Mater. Today Sustain. 2023, 24, 100500. [Google Scholar] [CrossRef]
  31. Osman, A.I.; Zhang, Y.; Farghali, M.; Rashwan, A.K.; Eltaweil, A.S.; Abd El-Monaem, E.M.; Yap, P.S. Synthesis of green nanoparticles for energy, biomedical, environmental, agricultural, and food applications: A review. Environ. Chem. Lett. 2024, 22, 841–887. [Google Scholar] [CrossRef]
  32. Castillo, H.L.; Alfaro, A.K.; Ugalde, A.J.; Vega, F.L.; Montes de Oca, V.G.; Vega, B.J.R. Green synthesis of gold and silver nanoparticles from plant extracts and their possible applications as antimicrobial agents in the agricultural area. Nanomaterials 2020, 10, 1763. [Google Scholar] [CrossRef]
  33. Mondéjar-López, M.; García-Simarro, M.P.; Navarro-Simarro, P.; Gómez-Gómez, L.; Ahrazem, O.; Niza, E. A review on the encapsulation of “eco-friendly” compounds in natural polymer-based nanoparticles as next generation nano-agrochemicals for sustainable agriculture and crop management. Int. J. Biol. Macromol. 2024, 280, 136030. [Google Scholar] [CrossRef]
  34. Jiang, Y.; Zhou, P.; Zhang, P.; Adeel, M.; Shakoor, N.; Li, Y.; Rui, Y. Green synthesis of metal-based nanoparticles for sustainable agriculture. Environ. Pollut. 2022, 309, 119755. [Google Scholar] [CrossRef]
  35. Hemalatha, M.; Hilli, J.S.; Chandrashekhar, S.S.; Vijayakumar, A.G.; Reddy, U.G.; Tippannavar, P.S. Application of green synthesized Ag and Cu nanoparticles for the control of bruchids and their impact on seed quality and yield in greengram. Heliyon 2024, 10, e31551. [Google Scholar] [CrossRef]
  36. Abd El-Wahab, R.A. Research Article Biosynthesized Silver Nanoparticles (AgNPs) by the Two-spotted Spider Mite Tetranychus urticae Against the Cotton Leafworm (Spodoptera littoralis). Trends Appl. Sci. Res. 2020, 15, 103–109. [Google Scholar] [CrossRef]
  37. Emam, H.; Ibrahim, M.S.; Ibrahim, M.; El-Sayed, S. Greenhouse and laboratory evaluation of the efficiency of green silicon dioxide nanoparticles against Tetranychus urticae (Koch). Arab. Univ. J. Agric. Sci. 2021, 29, 901–912. [Google Scholar] [CrossRef]
  38. Ahmed, S.; Mateen, A.; Abdullah, S.; Bashir, M.H. Efficacy of green synthesized silver nanoparticles against Tetranychus urticae Koch (Acari: Tetranychidae). Pak. J. Agric. Sci. 2022, 59, 635–642. [Google Scholar] [CrossRef]
  39. Benelli, G. Mode of action of nanoparticles against insects. Environ. Sci. Pollut. Res. 2018, 25, 12329–12341. [Google Scholar] [CrossRef]
  40. Saranya, S.; Selvi, A.; Babujanarthanam, R.; Rajasekar, A.; Madhavan, J. Insecticidal activity of nanoparticles and mechanism of action. In Model Organisms to Study Biological Activities and Toxicity of Nanoparticles; Springer: Singapore, 2020; pp. 243–266. [Google Scholar] [CrossRef]
  41. Shahzad, K.; Manzoor, F. Nanoformulations and their mode of action in insects: A review of biological interactions. Drug Chem. Toxicol. 2021, 44, 1–11. [Google Scholar] [CrossRef]
  42. Côa, F.; Bortolozzo, L.S.; Petry, R.; Da Silva, G.H.; Martins, C.H.Z.; de Medeiros, A.M.Z.; Sabino, C.M.S.; Costa, R.S.; Khan, L.U.; Delite, F.S.; et al. Environmental toxicity of nanopesticides against non-target organisms: The state of the art. In Nanopesticides: From Research and Development to Mechanisms of Action and Sustainable Use in Agriculture; Springer Nature: Cham, Switzerland, 2020; pp. 227–279. [Google Scholar] [CrossRef]
  43. Zhang, Y.; Goss, G.G. Nanotechnology in agriculture: Comparison of the toxicity between conventional and nano-based agrochemicals on non-target aquatic species. J. Hazard. Mater. 2022, 439, 129559. [Google Scholar] [CrossRef] [PubMed]
  44. Neira, V.A.A.; Meléndez, O.H.I.; García, L.J.I.; Sanchez, V.S.; Cruz, H.M.A.; Rodríguez, G.J.G.; Ramírez, B.S.N. Green synthesis of silver nanoparticles using pecan nut (Carya illinoinensis) shell extracts and evaluation of their antimicrobial activity. Antibiotics 2022, 11, 1150. [Google Scholar] [CrossRef]
  45. Abou-Setta, M.M.; Childers, C.C. A modified leaf arena technique for rearing phytoseiid or tetranychid mite for biological studies. Fla. Entomol. 1987, 70, 245–248. [Google Scholar] [CrossRef]
  46. IRAC Susceptibility Test Methods Series Version: 3 (June 2009) (Method No: 004). 2009. Available online: https://www.irac-online.org (accessed on 9 July 2025).
  47. Busuulwa, A.; Revynthi, A.M.; Liburd, O.E.; Lahiri, S. Residual effect of commonly used fungicides in strawberries on Amblyseius swirskii, Neoseiulus cucumeris, and Neoseiulus californicus (Mesostigmata: Phytoseiidae). Exp. Appl. Acarol. 2024, 93, 253–272. [Google Scholar] [CrossRef]
  48. Landeros, F.J.; Chacón, H.J.C.; Couoh, C.J.G.; Cerna, C.E.; Ochoa, F.Y.M.; Badii, Z.M.H. Efecto de concentraciones subletales de flufenoxuron sobre parámetros poblacionales de Tetranychus urticae Koch (Acari: Tetranychidae). Acta Zoológica Mex. (n.s.) 2014, 30, 491–499. Available online: https://www.scielo.org.mx/pdf/azm/v30n3/v30n3a3.pdf (accessed on 9 July 2025). [CrossRef]
  49. Abbott, W.S. A method of computing the effectiveness of an insecticide. J. Econ. Entomol. 1925, 18, 265–267. [Google Scholar] [CrossRef]
  50. Bacci, L.; Picanço, M.C.; Rosado, J.F.; Silva, G.A.; Crespo, A.L.B.; Pereira, E.J.G.; Martins, J.C. Conservation of natural enemies in Brassica crops: Comparative selectivity of insecticides in the management of Brevicoryne brassicae (Hemiptera: Sternorrhyncha: Aphididae). Appl. Entomol. Zool. 2009, 44, 103–113. [Google Scholar] [CrossRef]
  51. Metcalf, R.L. Development of selective and biodegradable pesticides. In Pest Control Strategies for the Future; Natural Academic of Sciences: Washington, DC, USA, 1972; pp. 137–156. [Google Scholar]
  52. Mazzonetto, F.; Vendramim, J.D. Efeito de pós de origem vegetal sobre Acanthoscelides obtectus (Say) (Coleoptera: Bruchidae) em feijão armazenado. Neotrop. Entomol. 2003, 32, 145–149. [Google Scholar] [CrossRef]
  53. Aslan, I.; Özbek, H.; Çalmaşur, Ö.; Şahin, F. Toxicity of essential oil vapours to two greenhouse pests, Tetranychus urticae Koch and Bemisia tabaci Genn. Ind. Crops Prod. 2004, 19, 167–173. [Google Scholar] [CrossRef]
  54. Ataide, J.O.; Destefani, D.F.; Garcia, H.F.; Huver, A.; Bolsoni Zago, H.; Menini, L. Acaricidal activity and repellency of commercial essential oils on Tetranychus urticae in vitro and protected cultivation. Agron. Colomb. 2021, 39, 226–233. [Google Scholar] [CrossRef]
  55. Ortiz, C.; Silva, G.; Moya, E.; Fischer, S.; Urbina, A.; Rodríguez, J.C. Variación estacional de la repelencia de los aceites esenciales de Monimiaceae sobre Sitophilus zeamais Motschulsky (Curculionidae). Chil. J. Agric. Anim. Sci. 2017, 33, 221–230. [Google Scholar] [CrossRef]
  56. Díaz, Á.A.R.; Herrera, I.d.R.M.; Chávez, E.C.; Fuentes, Y.M.O.; Uribe, L.A.A.; Flores, J.L. Comportamiento poblacional de Tetranychus urticae Koch. (Acari: Tetranychidae) en variedades de tomate. Rev. Mex. De Cienc. Agrícolas 2018, 9, 961–969. [Google Scholar] [CrossRef]
  57. Finney, D. Probit Analysis; Cambridge University Press: New York, NY, USA, 1971. [Google Scholar] [CrossRef]
  58. Auffan, M.; Rose, J.; Orsiere, T.; De Meo, M.; Thill, A.; Zeyons, O.; Proux, O.; Masion, A.; Chaurand, P.; Spalla, O.; et al. CeO2 Nanoparticles Induce DNA Damage towards Human Dermal Fibroblasts in Vitro. Nanotoxicology 2009, 3, 161–171. [Google Scholar] [CrossRef]
  59. Chan, H.; Král, P. Nanoparticles Self-Assembly within Lipid Bilayers. ACS Omega 2018, 3, 10631–10637. [Google Scholar] [CrossRef]
  60. Soni, N.; Prakash, S. Efficacy of fungus mediated silver and gold nanoparticles against Aedes aegypti larvae. Parasitol. Res. 2012, 110, 175–184. [Google Scholar] [CrossRef]
  61. Small, T.; Ochoa, Z.M.A.; Gallello, G.; Ribera, A.; Romero, F.M.; Torreblanca, A.; Garcerá, M.D. Gold-nanoparticles ingestion disrupts reproduction and development in the German cockroach. Sci. Total Environ. 2016, 565, 882–888. [Google Scholar] [CrossRef]
  62. Sundararajan, B.; Ranjitha, K.B.D. Novel synthesis of gold nanoparticles using Artemisia vulgaris L. leaf extract and their efficacy of larvicidal activity against dengue fever vector Aedes aegypti L. J. Trace Elem. Med. Biol. Organ Soc. Miner. Trace Elem. (GMS) 2017, 43, 187–196. [Google Scholar] [CrossRef]
  63. Benelli, G. Gold nanoparticles—Against parasites and insect vectors. Acta Trop. 2018, 178, 73–80. [Google Scholar] [CrossRef] [PubMed]
  64. Murugan, K.; Benelli, G.; Panneerselvam, C.; Subramaniam, J.; Jeyalalitha, T.; Dinesh, D.; Nicoletti, M.; Hwang, J.-S.; Suresh, U.; Madhiyazhagan, P. Cymbopogon citratus-synthesized gold nanoparticles boost the predation efficiency of copepod Mesocyclops aspericornis against malaria and dengue mosquitoes. Exp. Parasitol. 2015, 153, 129–138. [Google Scholar] [CrossRef] [PubMed]
  65. Lallawmawma, H.; Sathishkumar, G.; Sarathbabu, S.; Ghatak, S.; Sivaramakrishnan, S.; Gurusubramanian, G.; Kumar, N.S. Synthesis of silver and gold nanoparticles using Jasminum nervosum leaf extract and its larvicidal activity against filarial and arboviral vector Culex quinquefasciatus Say (Diptera: Culicidae). Environ. Sci. Pollut. Res. 2015, 22, 17753–17768. [Google Scholar] [CrossRef]
  66. El-Ashram, S.; Kheirallah, D.A.M.; El-Samad, L.M.; Toto, N.A. Relative expression of microRNAs, apoptosis, and ultrastructure anomalies induced by gold nanoparticles in Trachyderma hispida (Coleoptera: Tenebrionidae). PLoS ONE 2020, 15, 24–37. [Google Scholar] [CrossRef]
  67. Raliya, R.; Saha, D.; Chadha, T.S.; Raman, B.; Biswas, P. Non-invasive aerosol delivery and transport of gold nanoparticles to the brain. Sci. Rep. 2017, 7, 44–71. [Google Scholar] [CrossRef] [PubMed]
  68. Sahayaraj, K.; Madasamy, M.; Radhika, S.A. Insecticidal activity of bio-silver and gold nanoparticles against Pericallia ricini Fab. (Lepidoptera: Archidae). J. Biopestic. 2016, 9, 63–72. [Google Scholar] [CrossRef]
  69. Isman, M.B. Botanical insecticides, deterrents, and repellents in modern agriculture and an increasingly regulated world. Annu. Rev. Entomol. 2006, 51, 45–66. [Google Scholar] [CrossRef]
  70. Miresmailli, S.; Isman, M.B. Botanical insecticides inspired by plant-herbivore chemical interactions. Trends Plant Sci. 2014, 19, 29–35. [Google Scholar] [CrossRef]
  71. de Rodríguez, D.J.; Gaytán-Sánchez, N.; Rodríguez-García, R.; Hernández-Castillo, F.; Díaz-Jiménez, L.; Villarreal-Quintanilla, J.; Flores-López, M.; Carrillo-Lomelí, D.; Peña-Ramos, F. Antifungal activity of Juglans spp. and Carya sp. ethanol extracts against Fusarium oxysporum on tomato under greenhouse conditions. Ind. Crops Prod. 2019, 138, 111442. [Google Scholar] [CrossRef]
  72. Osorio, E.; Flores, M.; Hernández, D.; Ventura, J.; Rodríguez, R.; Aguilar, C.N. Biological efficiency of polyphenolic extracts from pecan nuts shell (Carya Illinoensis), pomegranate husk (Punica granatum) and creosote bush leaves (Larrea tridentata Cov.) against plant pathogenic fungi. Ind. Crops Prod. 2010, 31, 153–157. [Google Scholar] [CrossRef]
  73. Frezza, C.; Sciubba, F.; Giampaoli, O.; De Salvador, F.R.; Lucarini, M.; Engel, P.; Patriarca, A.; Spagnoli, M.; Gianferri, R.; Delfini, M.; et al. Comparison of the metabolic profile of pecan nuts cultivars [Carya illinoinensis (Wangenh.) K. Koch] by NMR spectroscopy. Nat. Prod. Res. 2023, 39, 2023–2028. [Google Scholar] [CrossRef] [PubMed]
  74. Zhao, Z.; Wang, F.; Hu, T.; Zhou, C.H. Lipidomic analyses of five Carya illinoinensis cultivars. Food Sci. Nutr. 2023, 11, 6336–6348. [Google Scholar] [CrossRef] [PubMed]
  75. Wilson, C.V.; Anderson, C.W.N.; Rodriguez, L.M. Gold phytomining. A review of the relevance of this technology to mineral extraction in the 21st century. J. Environ. Manag. 2012, 111, 249–257. [Google Scholar] [CrossRef]
  76. Wang, X.; Xie, H.; Wang, P.; Yin, H. Nanoparticles in Plants: Uptake, Transport and Physiological Activity in Leaf and Root. Materials 2023, 16, 3097. [Google Scholar] [CrossRef]
  77. Siddiqi, K.S.; Husen, A. Engineered Gold Nanoparticles and Plant Adaptation Potential. Nanoscale Res. Lett. 2016, 11, 400. [Google Scholar] [CrossRef]
  78. Sharma, M.M.M.; Kapoor, D.; Loyal, A.; Kumar, R.; Sharma, P.; Husen, A. Effect of Gold Nanoparticles on Seed Germination, Plant Growth, and Plant Protection. In Plant Response to Gold Nanoparticles; Husen, A., Ed.; Smart Nanomaterials Technology; Springer Nature: Singapore, 2024. [Google Scholar] [CrossRef]
  79. Kant, M.R.; Jonckheere, W.; Knegt, B.; Lemos, F.; Liu, J.; Schimmel, B.C.J.; Villarroel, C.A.; Ataide, L.M.S.; Dermauw, W.; Glas, J.J.; et al. Mechanisms and ecological consequences of plant defence induction and suppression in herbivore communities. Ann. Bot. 2015, 115, 1015–1051. [Google Scholar] [CrossRef]
  80. Santamaria, M.E.; Arnaiz, A.; Velasco, A.B.; Grbic, V.; Diaz, I.; Martinez, M. Arabidopsis response to the spider mite Tetranychus urticae depends on the regulation of reactive oxygen species homeostasis. Sci. Rep. 2018, 8, 9432. [Google Scholar] [CrossRef]
  81. Iida, J.; Desaki, Y.; Hata, K.; Uemura, T.; Yasuno, A.; Islam, M.; Maffei, M.E.; Ozawa, R.; Nakajima, T.; Galis, I.; et al. Tetranins: New putative spider mite elicitors of host plant defense. New Phytol. 2019, 224, 875–885. [Google Scholar] [CrossRef]
  82. Kumar, V.; Guleria, P.; Kumar, V.; Yadav, S.K. Gold nanoparticle exposure induces growth and yield enhancement in Arabidopsis thaliana. Sci. Total Environ. 2013, 461–462, 462–468. [Google Scholar] [CrossRef] [PubMed]
  83. Taylor, A.F.; Rylott, E.L.; Anderson, C.W.N.; Bruce, N.C. Investigating the Toxicity, Uptake, Nanoparticle Formation and Genetic Response of Plants to Gold. PLoS ONE 2014, 9, e93793. [Google Scholar] [CrossRef] [PubMed]
  84. Belal, R.; Gad, A. Zinc oxide nanoparticles induce oxidative stress, genotoxicity, and apoptosis in the hemocytes of Bombyx mori larvae. Sci. Rep. 2023, 13, 3520. [Google Scholar] [CrossRef]
  85. Arafat, E.A.; El-Sayed, D.S.; Hussein, H.K.; Flaven-Pouchon, J.; Moussian, B.; El-Samad, L.M.; El Wakil, A.; Hassan, M.A. Entomotherapeutic Role of Periplaneta americana Extract in Alleviating Aluminum Oxide Nanoparticles-Induced Testicular Oxidative Impairment in Migratory Locusts (Locusta migratoria) as an Ecotoxicological Model. Antioxidants 2023, 12, 653. [Google Scholar] [CrossRef]
  86. Khan, I.; Khalid, S.; Idrees, K. Nanoparticles: Properties, ap-plications and toxicities. Arab. J. Chem. 2019, 12, 908–931. [Google Scholar] [CrossRef]
  87. Enea, M.; Pereira, E.; Peixoto de Almeida, M.; Araújo, A.M.; Bastos Md, L.; Carmo, H. Gold Nanoparticles Induce Oxidative Stress and Apoptosis in Human Kidney Cells. Nanomaterials 2020, 10, 995. [Google Scholar] [CrossRef] [PubMed]
  88. Ivlieva, A.L.; Petritskaya, E.N.; Rogatkin, D.A.; Zinicovscaia, I.; Yushin, N.; Grozdov, D. Impact of Chronic Oral Administration of Gold Nanoparticles on Cognitive Abilities of Mice. Int. J. Mol. Sci. 2023, 24, 8962. [Google Scholar] [CrossRef] [PubMed]
  89. Jiménez-Martínez, W.d.J.; Vázquez-Lira, J.C. Una revisión de nanopartículas de oro: Características fisicoquímicas y su respuesta celular en macrófagos. Mundo Nano. Rev. Interdiscip. En Nanociencias Y Nanotecnología 2024, 17, e69801. [Google Scholar] [CrossRef]
  90. Judy, J.D.; Unrine, J.M.; Rao, W.; Wirick, S.; Bertsch, P.M. Bioavailability of gold nanomaterials to plants: Importance of particle size and surface coating. Environ. Sci. Technol. 2012, 46, 8467–8474. [Google Scholar] [CrossRef]
  91. Arora, S.; Sharma, P.; Kumar, S.; Nayan, R.; Khanna, P.K.; Zaidi, M.G.H. Gold-nanoparticle induced enhancement in growth and seed yield of Brassica juncea. Plant Growth Regul. 2012, 66, 303–330. [Google Scholar] [CrossRef]
  92. Ferrari, E.; Barbero, F.; Busquets, F.M.; Franz, W.M.; Köhler, H.-R.; Puntes, V.; Kemmerling, B. Growth-Promoting Gold Nanoparticles Decrease Stress Responses in Arabidopsis Seedlings. Nanomaterials 2021, 11, 3161. [Google Scholar] [CrossRef] [PubMed]
  93. Jain, A.; Sinilal, B.; Starnes, D.L.; Sanagala, R.; Krishnamurthy, S.; Sahi, S.V. Role of Fe-responsive genes in bioreduction and transport of ionic gold to roots of Arabidopsis thaliana during synthesis of gold nanoparticles. Plant Physiol. Biochem. PPB 2014, 84, 189–196. [Google Scholar] [CrossRef]
  94. Shabnam, N.; Pardha-Saradhi, P.; Sharmila, P. Phenolics Impart Au3+-Stress Tolerance to Cowpea by Generating Nanoparticles. PLoS ONE 2014, 9, e85242. [Google Scholar] [CrossRef]
  95. Bekkara, F.; Jay, M.; Viricel, M.R.; Rome, S. Distribution of phenolic compounds within seed and seedlings of two Vicia faba cvs differing in their seed tannin content, and study of their seed and root phenolic exudations. Plant Soil 1998, 203, 27–36. [Google Scholar] [CrossRef]
  96. El-Moneim, D.A.; Dawood, M.F.A.; Moursi, Y.S.; Farghaly, A.A.; Afifi, M.; Sallam, A. Positive and negative effects of nanoparticles on agricultural crops. Nanotechnol. Environ. Eng. 2021, 6, 21. [Google Scholar] [CrossRef]
  97. Shah, V.; Belozerova, I. Influence of metal nanoparticles on the soil microbial community and germination of lettuce seeds. Water Air Soil Pollut. 2009, 197, 143–148. [Google Scholar] [CrossRef]
  98. Husen, A.; Iqbal, M.; Aref, I.M. Growth, water status and leaf characteristics of Brassica carinata under drought stress and rehydration conditions. Braz. J. Bot. 2014, 37, 217–227. [Google Scholar] [CrossRef]
  99. Gunjan, B.; Zaidi, M.G.H.; Sandeep, A. Impact of gold nanoparticles on physiological and biochemical characteristics of Brassica juncea. J. Plant Biochem. Physiol. 2014, 2, 133. [Google Scholar] [CrossRef]
  100. Beattie, I.R.; Haverkamp, R.G. Silver and gold nanoparticles in plants: Sites for the reduction to metal. Metallomics 2011, 3, 628. [Google Scholar] [CrossRef]
  101. Feichtmeier, N.S.; Walther, P.; Leopold, K. Uptake, effects, and regeneration of barley plants exposed to gold nanoparticles. Environ. Sci. Pollut. Res. Int. 2015, 22, 8549–8558. [Google Scholar] [CrossRef]
  102. Quinet, M.; Angosto, T.; Yuste-Lisbona, F.J.; Blanchard-Gros, R.; Bigot, S.; Martinez, J.-P.; Lutts, S. Tomato Fruit Development and Metabolism. Front. Plant Sci. 2019, 10, 1554. [Google Scholar] [CrossRef] [PubMed]
  103. Nascimento, V.L.; Pereira, A.M.; Siqueira, J.A.; Pereira, A.S.; Silva, V.F.; Costa, L.C.; Araújo, W.L. Exogenous ethylene reduces growth via alterations in central metabolism and cell wall composition in tomato (Solanum lycopersicum). J. Plant Physiol. 2021, 263, 153460. [Google Scholar] [CrossRef] [PubMed]
  104. Venzhik, Y.V.; Moshkov, I.E.; Dykman, L.A. Gold Nanoparticles in Plant Physiology: Principal Effects and Prospects of Application. Russ. J. Plant Physiol. 2021, 68, 401–412. [Google Scholar] [CrossRef]
Figure 1. EDX spectrum showing the elemental composition of green-synthesized gold nanoparticles (AuNPs).
Figure 1. EDX spectrum showing the elemental composition of green-synthesized gold nanoparticles (AuNPs).
Agronomy 15 01684 g001
Figure 2. Morphology and size distribution of AuNPs. (a) TEM image; (b) particle-size histogram.
Figure 2. Morphology and size distribution of AuNPs. (a) TEM image; (b) particle-size histogram.
Agronomy 15 01684 g002
Table 1. Complementary scale of the repellency index (RI) proposed by [52], adapted by [55].
Table 1. Complementary scale of the repellency index (RI) proposed by [52], adapted by [55].
Repellency Index (RI) ValueCategory
≥1.0No repellency
0.76–0.99Weak repellency
0.51–0.75Moderate repellency
0.26–0.50High repellency
0.0–0.25Very high repellency
Table 2. Egg-hatching inhibition and mortality of the five developmental stages of T. urticae 120 h after exposure to AuNPs.
Table 2. Egg-hatching inhibition and mortality of the five developmental stages of T. urticae 120 h after exposure to AuNPs.
AuNPs Concentration (mg L−1)Hatching Inhibition (%)Mortality (%)
EggsLarvaProtonymphDeutonymphAdult
7525.0 ± 1.5 d55.0 ± 1.7 d37.0 ± 1.0 d35.7 ±2.1 d31.3 ± 1.5 d
10033.0 ± 2.5 c73.0 ± 2.0 c56.0 ± 1.0 c50.0 ± 1.0 c47.3 ± 2.5 c
15040.0 ± 1.5 b85.3 ± 0.6 b85.0 ± 1.0 b80.0 ± 1.0 b63.0 ± 2.6 b
17546.3 ± 1.5 a98.0 ± 1.5 a96.0 ± 0.6 a93.3 ± 1.5 a73.7 ± 3.2 a
gl33333
F value166.6203.51091975275.5
Pr(>F)1.47 × 10−75.66 × 10−8 1.53 × 10−11 7.08 × 10−14 1.32 × 10−8
LSD3.886.824.412.556.02
CV5.964.8233.542.166.15
Different letters within columns indicate significant differences (LSD, α = 0.05).
Table 3. LC50 and LC95 (mg L−1) of AuNPs (120 h) for each developmental stage of T. urticae.
Table 3. LC50 and LC95 (mg L−1) of AuNPs (120 h) for each developmental stage of T. urticae.
StageTreatmentsLC50 (mg L−1)Fiducial LimitsLC95 (mg L−1)Fiducial LimitsSlope ± SEχ2p
EggAuNPs162143–180614521–7632.85 ± 0.15426.40.0148
Atzingao®28012550–301273006520–85553.98 ± 0.21647.10.00025
LarvaAuNPs60.552.9–67.0207176–2603.08 ± 0.19527.20.0116
ProtonymphAuNPs83.877.6–89.7211189–2454.10 ± 0.17951.10.00005
DeutonymphAuNPs94.588.4–100205185–2354.89 ± 0.28316.00.0988
AdultAuNPs11296.2–124290248–3753.97 ± 0.28427.80.00194
Phorate™18.815.6–22.080.164.6–1082.04 ± 0.11435.10.000827
LC = lethal concentration.
Table 4. Lethal times (h), fiducial limits, and confidence parameters of AuNPs on the mobile stages of T. urticae.
Table 4. Lethal times (h), fiducial limits, and confidence parameters of AuNPs on the mobile stages of T. urticae.
StageAuNPs (mg L−1)LT50 (h)Fiducial LimitsLT90 (h)Fiducial LimitsSlope ± SEχ2p
Larva10036.835.1–38.569.164.9–74.54.68 ± 0.18723.20.109
200 24.823.5–26.042.940.4–46.35.40 ± 0.30427.20.0395
30013.411.4–15.031.227.3–38.13.49 ± 0.18773.32.61 × 10−9
Protonymph10043.540.2–46.9136117–1652.59 ± 0.13338.80.00701
200 32.729.2–35.910188.6–121.2.61 ± 0.13546.60.000677
30024.823.7–25.843.641.3–46.55.24 ± 0.3126.560.766
Deutonymph10043.839.8–47.9141118–1802.53 ± 0.13253.40.0000698
200 32.828.3–36.810185.5–1272.63 ± 0.13575.42.33 × 10−8
30024.723.2–26.051.748.6–55.63.98 ± 0.2295.900.950
Adult10042.437.8–46.9135111–178.2.56 ± 0.13270.50.0000001
200 34.130.1–37.810388.9 127.2.66 ± 0.13561.90.00000363
30024.923.6–26.249.747.0–53.24.27 ± 0.2378.580.804
Phorate™ (80 mg L−1)4.313.97–4.6312.011.0–13.42.87 ± 0.14810.30.508
LT = lethal time (h = hours).
Table 5. Lethal concentrations (LC50 and LC95), fiducial limits, and confidence parameters of AuNPs on P. persimilis adults, under laboratory conditions (120 h after exposure).
Table 5. Lethal concentrations (LC50 and LC95), fiducial limits, and confidence parameters of AuNPs on P. persimilis adults, under laboratory conditions (120 h after exposure).
TreatmentsLC50 (mg L−1)Fiducial LimitsLC95 (mg L−1)Fiducial LimitsSlope ± SEχ2p
AuNPs10789.2–120215192–2574.20 ± 0.28140.20.0000336
Phorate™15.712.8–18.365.351.9–91.22.07 ± 0.13921.90.0155
LC = lethal concentration.
Table 6. Lethal times (LT50 and LT95), fiducial limits and confidence parameters of AuNPs on P. persimilis adults under laboratory conditions.
Table 6. Lethal times (LT50 and LT95), fiducial limits and confidence parameters of AuNPs on P. persimilis adults under laboratory conditions.
TreatmentsLT50 (h)Fiducial LimitsLT90 (h)Fiducial LimitsSlope ± SEχ2p
AuNPs (100 mg L−1)40.135.1–44.810588.1–136.3.06 ± 0.1381161.68 × 10−15
AuNPs (200 mg L−1)36.433.0–39.693.582.6–110.3.13 ± 0.14061.70.00000387
AuNPs (300 mg L−1)23.422.2–24.645.743.6–48.24.42 ± 0.2165.120.999
Phorate™ (80 mg L−1)4.063.74–4.3811.210.3–12.42.90 ± 0.15110.80.458
LT = lethal time (h = hours).
Table 7. Adult LC50 values for AuNPs and phorate™, corresponding selectivity ratios (SRs), and interpretation.
Table 7. Adult LC50 values for AuNPs and phorate™, corresponding selectivity ratios (SRs), and interpretation.
TreatmentsT. urticae (LC50
mg L−1)
P. persimilis (LC50
mg L−1)
SR = LC50 Predator/LC50 PestInterpretation *
AuNPs1121070.95Selective for the pest
Phorate™4.3115.73.64Selective for the natural enemy
* Following [52]: SR > 1 indicates lower toxicity to the natural enemy, whereas SR < 1 indicates higher toxicity to the natural enemy.
Table 8. Percent repellency (mean ± SE), repellency index (RI), and repellency classification of gold nanoparticles (AuNPs) against adults of T. urticae under laboratory conditions.
Table 8. Percent repellency (mean ± SE), repellency index (RI), and repellency classification of gold nanoparticles (AuNPs) against adults of T. urticae under laboratory conditions.
Treatments2 h/RI 14 h/RI6 h/RI12 h/RI24 h/RI48 h/RI72 h/RI
LC10 (53.2 mg L−1)28.0 ± 8.0 c0.64 M38.7 ± 6.1 c0.56 M42.6 ± 2.3 d0.56 M41.3 ± 2.3 c0.56 M36.0 ± 4.0 b0.64 M24 ± 4.0 d0.8 W21.3 ± 2.3 c0.8 W
LC20 (68.6 mg L−1)36.0 ± 4.0 bc0.68 M52.0 ± 4.0 b0.52 M54.6 ± 2.3 c0.44 M46.6 ± 8.3 c0.44 H41.3 ± 12 b0.44 H34.6 ± 2.3 c0.64 M30.6 ± 10.0 bc0.72 M
LC30 (82.5 mg L−1)52.0 ± 20.7 b0.60 M52.0 ± 6.9 b0.44 H58.6 ± 2.3 b0.4 H56.0 ± 4.0 b0.4 H46.6 ± 4.6 b0.56 M42.6 ± 2.3 b0.6 M37.3 ± 8.3 b0.6 M
eBioluzion Plus VO™ (150 mg L−1)74.6 ± 4.6 a0.28 H82.7 ± 4.6 a0.2 VH86.6 ± 2.3 a0.16 VH85.3 ± 2.3 a0.12 VH86.9 ± 2.3 a0.12 VH80.0 ± 4.0 a0.24 VH78.6 ± 15.1 a0.28 H
Control (water + DSS 2)6.6 ± 11.5 d1 NR6.6 ± 11.5 d0.98 W0 ± 0 e1 W0 ± 0 d1 W1.3 ± 2.3 c0.96 W0 ± 0 e1 NR0.66 ± 1.1 d0.97 W
gl4 4 4 4 4 4 4
F value14.7 44.2 700.4 147.9 65.2 300.8 91.6
Pr(>F)0.00034 2.52 × 10−6 3.41 × 10−12 7.52 × 10−9 4.01× 10−7 2.27 × 10−10 7.78 × 10−8
LSD21.0 13.0 3.7 8.0 11.8 5.3 9.4
CV29.2 15.4 4.2 9.5 15.4 8.1 15.4
Means with different letters differ statistically. LSD, α ≤ 0.05. Repellency index (RI) (NR = No Repellency; W = Weak; M = Moderate; H = High; VH = Very High). 1 Repellency index. 2 Dioctyl sodium sulfosuccinate.
Table 9. Percent repellency (mean ± SE), repellency index (RI), and repellency classification of gold nanoparticles (AuNPs) against adult of P. persimilis under laboratory conditions.
Table 9. Percent repellency (mean ± SE), repellency index (RI), and repellency classification of gold nanoparticles (AuNPs) against adult of P. persimilis under laboratory conditions.
Treatments2 h/RI 14 h/RI6 h/RI12 h/RI24 h/RI48 h/RI72 h/RI
LC10 (52.8 mg L−1)34.0 ± 6.1 c0.64 M50.6 ± 12.2 b0.52 M62.6 ± 6.1 c0.44 H70.6 ± 2.3 c0.28 H53.3 ± 6.1 b0.52 M52.0 ± 4.0 b0.52 M37.3 ± 2.3 c0.64 M
LC20 (67.2 mg L−1)40.0 ± 4.0 c0.56 M56.0 ± 10.6 b0.36 H72.0 ± 4.0 b0.28 H78.6 ± 2.3 b0.2 VH52.0 ± 4.0 c0.48 H52.0 ± 4.0 b0.48 H40.0 ± 4.0 bc0.6 M
LC30 (80.0 mg L−1)54.7 ± 6.1 b0.52 M61.3 ± 2.3 b0.40 H73.3 ± 6.1 b0.32 VH81.3 ± 2.3 b0.2 VH61.3 ± 2.30 c0.4 VH44.0 ± 4.0 c0.56 M44.0 ± 4.0 b0.52 M
eBioluzion Plus VO™ (150 mg L−1)84.0 ± 4.0 a0.2 VH92.0 ± 4.0 a0.08 VH100.0 ± 0.0 a0 VH100.0 ± 0.0 a0 VH94.6 ± 4.6 a0 VH82.6 ± 4.6 a0.2 VH82.6 ± 4.6 a0.2 VH
Control (water + DSS 2)0 ± 0 d1 NR0 ± 0 c1 NR0 ± 0 d0.9 NR1.3 ± 2.3 d1.0 NR1.3 ± 2.3 d1.0 NR1.3 ± 2.3 d1 NR1.3 ± 2.3 d0.96 W
gl4 4 4 4 4 4 4
F value131.6 58.5 228.1 101 2 196.7 171.5 44.5
Pr(>F)1.33 × 10−8 6.71 × 10−7 8.9 × 10− 10 5.45 × 10−13 1.85 × 10−9 3.63 × 10−9 2.44 × 10−6
LSD8.4 13.7 7.7 3.7 7.5 7.0 12.7
CV10.8 14.4 6.9 3.1 5.9 8.3 17.8
Means with different letters differ statistically. LSD, α ≤ 0.05. Repellency index (RI) (NR = No Repellency; W = Weak; M = Moderate; H = High; VH = Very High). 1 Repellency index. 2 Dioctyl sodium sulfosuccinate.
Table 10. Effect of gold nanoparticles (AuNPs) against T. urticae on tomato variety Río Grande under greenhouse conditions.
Table 10. Effect of gold nanoparticles (AuNPs) against T. urticae on tomato variety Río Grande under greenhouse conditions.
Treatment
(mg L−1)
Pre Sampling
Average (in 2)
10 DA1A *20 DA1A30 DA1A
Average (in 2)Efficacy (%) 2Average (in 2)Efficacy (%)Average (in 2)Efficacy (%)
EggAuNPs 3000.70 ± 0.53 a 10.75 ± 0.50 b631.50 ± 0.58 b681.17 ± 0.35 b72
AuNPs 5000.65 ± 0.46 a0.75 ± 0.50 b631.25 ± 0.50 b731.05 ± 0.10 b75
AuNPs 7500.67 ± 0.45 a0.75 ±0.50 b630.75 ± 0.50 b840.85 ± 0.12 b80
AuNPs 10000.75 ± 0.51 a0.75 ± 0.50 b630.75 ± 0.50 b840.67 ± 0.46 b84
Phorate™ 600.64 ± 0.42 a0.65 ± 0.45 b681.32 ± 1.0 b711.40 ± 0.97 b66
Untreated0.75 ± 0.51 a2.00 ± 0.0 a-4.62 ± 0.49 a-4.17 ± 0.39 a-
gl55 5 5
F value0.0195.393 21.47 28.25
Pr(>F)0.890.00333 5.20 × 10−7 6.32 × 10−8
LarvaAuNPs 3000.72 ± 0.55 a1.02 ± 0.05 ab320.55 ± 0.10 b460.45 ± 0.06 b57
AuNPs 5000.62 ± 0.43 a1.00 ± 0.0 ab330.54 ± 0.12 b480.47 ± 0.09 b55
AuNPs 7500.75 ± 0.53 a0.80 ± 0.54 ab470.35 ± 0.04 bc650.35 ± 0.06 bc67
AuNPs 10000.65 ± 0.46 a0.415 ± 0.28 bc720.22 ± 0.15 c790.22 ± 0.15 c79
Phorate™ 600.82 ± 0.57 a0.00 ± 0.00 c1000.37 ± 0.25 bc630.37 ± 0.25 bc64
Untreated0.70 ± 0.48 a1.50 ± 1.00 a 1.02 ± 0.2 a 1.05 ± 0.10 a
gl55 5 5
F value0.0814.78 12.02 17.86
Pr(>F)0.9940.00592 3.19 × 10−5 2.03 × 10−6
ProtonymphAuNPs 3000.66 ± 0.45 a0.75 ± 0.5 ab250.52 ± 0.09 b620.50 ± 0.14 b60
AuNPs 5000.64 ± 0.44 a0.45 ± 0.33 bc550.45 ± 0.33 b670.49 ± 0.06 b61
AuNPs 7500.57 ± 0.38 a0.41 ± 0.27 bcd590.45 ± 0.31 b670.46 ± 0.05 b63
AuNPs 10000.67 ± 0.45 a0.31 ± 0.22 cd690.00 ± 0.00 c1000.17 ± 0.21 c86
Phorate™ 600.60 ± 0.40 a0.00 ± 0.00 d1000.00 ± 0.00 c1000.00 ± 0.00 c100
Untreated0.62 ± 0.42 a1.00 ± 0.0 a 1.37 ± 0.47 a 1.25 ± 0.29 a
gl55-5-5-
F value0.0335.99-13.64-28.95-
Pr(>F)0.9990.00197-1.36 × 10−5 -5.23 × 10−8 -
DeutonymphAuNPs 3000.85 ± 0.57 a1.05 ± 0.10 b620.55 ± 0.04 b710.52 ± 0.05 b72
AuNPs 5000.60 ± 0.41 a1.02 ± 0.05 b630.55 ± 0.04 b710.52 ± 0.12 b74
AuNPs 7500.75 ± 0.53 a0.80 ± 0.31 b710.50 ± 0.35 b740.50 ± 0.08 b79
AuNPs 10000.63 ± 0.42 a0.00 ± 0.0 c1000.00 ± 0.00 c1000.17 ± 0.20 c84
Phorate™ 600.60 ± 0.41 a0.00 ± 0.0 c1000.57 ± 0.05 b700.57 ± 0.05 b72
Untreated0.70 ± 0.47 a2.75 ± 0.5 a 1.90 ± 0.20 a 2.02 ± 0.05 a
gl55 5 5
F value0.17467.3 56.39 142
Pr(>F)0.9695.16 × 10−11 2.29 × 10−10 8.21 × 10−14
AdultAuNPs 3000.37 ± 0.26 a0.90 ± 0.20 b721.25 ± 0.50 b650.92 ± 0.09 b72
AuNPs 5000.45 ± 0.31 a0.75 ± 0.50 b771.00 ± 0.82 b720.85 ± 0.13 b74
AuNPs 7500.38 ± 0.26 a0.75 ± 0.20 b770.50 ± 0.57 b860.67 ± 0.09 bc79
AuNPs 10000.27 ± 0.19 a0.37 ± 0.25 b880.64 ± 0.06 b820.52 ± 0.05 c84
Phorate ™ 600.30 ± 0.24 a0.46 ± 0.04 b870.92 ± 0.37 b740.92 ± 0.38 b72
Untreated0.35 ± 0.23 a3.25 ± 0.95 a 3.55 ± 0.46 a 3.25 ± 0.21 a
gl55-5-5-
F value0.24621.31-18.93-111.9-
Pr(>F)0.9375.50 × 10−7 -1.32 × 10−6 -6.56 × 10−13 -
* Days after first application 1 Means with different letters differ statistically. LSD, α ≤ 0.05. 2 Abbott efficacy.
Table 11. Effect of gold nanoparticles (AuNPs) on chlorophyll, height, and Brix degrees of tomato crops under greenhouse conditions.
Table 11. Effect of gold nanoparticles (AuNPs) on chlorophyll, height, and Brix degrees of tomato crops under greenhouse conditions.
ParameterTreatments
(mg L−1)
Pre Sampling10 DA1A *20 DA1A30 DA1A
Chlorophyll (SPAD units)AuNPs 30049.27 ± 4.3 a50.20 ± 3.8 ab47.83 ± 2.6 ab36.67 ± 2.9 b
AuNPs 50054.87 ± 3.2 a53.93 ± 1.3 ab51.27 ± 1.7 ab49.17 ± 1.10 a
AuNPs 75049.77 ± 4.9 a51.20 ± 5.1 ab50.60 ± 0.4 ab49.33 ± 2.0 a
AuNPs 100050.27 ± 3.2 a55.77 ± 0.9 a56.30 ± 7.3 a49.67 ± 2.5 a
Phorate™ 6053.83 ± 1.3 a49.50 ± 4.6 b43.57 ± 10.4 b50.50 ± 1.8 a
Untreated55.00 ± 4.3 a50.30 ± 1.5 ab51.33 ± 1.1 ab33.33 ± 2.9 b
gl5555
F value1.5471.652
Pr(>F)0.2480.22
Plant height (cm)AuNPs 30028.67 ± 1.1 a34.33 ± 1.5 b41.00 ± 1.7 ab41.0 ± 1.7 ab
AuNPs 50030.0 ± 1.0 a37.00 ± 1.7 ab38.0 ± 2.0 c39.0 ± 1.0 b
AuNPs 75030.67 ± 1.5 a36.00 ± 1.7 ab42.33 ± 2.3 a42.33 ± 2.3 ab
AuNPs 100028.67 ± 1.1 a36.00 ± 1.7 ab39.3 ± 0.5 bc40.00 ± 1.0 ab
Phorate™ 6029.33 ± 1.5 a36.67 ± 2.3 ab40.0 ± 1.0 abc41.0 ± 0.0 ab
Untreated30.33 ± 1.1 a37.67 ± 1.5 a41.0 ± 1.0 ab41.3 ± 0.58 ab
gl
F value1.3591.2392.8052.225
Pr(>F)0.3060.350.06650.119
Degree Brix (°Bx)AuNPs 3007.33 ± 0.6 a6.00 ± 0.0 d9.0 ± 0.0 d9.0 ± 0.0 b
AuNPs 5007.50 ± 0.9 a6.50 ± 0.0 c11.0 ± 0.0 c10.60 ± 0.6 a
AuNPs 7506.67 ± 0.3 a6.50 ± 0.0 c10.9 ± 0.2 c10.3 ± 0.6 a
AuNPs 10007.00 ± 0.0 a6.90 ± 0.2 b12.0 ± 0.0 b10.50 ± 0.0 a
Phorate™ 606.83 ± 0.3 a7.50 ± 0.0 a13.0 ± 0.0 a9.00 ± 0.0 b
Untreated7.16 ± 0.8 a6.66 ± 0.3 bc9.0 ± 0.0 d9.00 ± 0.0 b
gl5555
F value0.95539.65153718.52
Pr(>F)0.4824.7 × 10−7 2 × 10−16 2.86 × 10−5
* Days after first application. Means with different letters differ statistically. LSD, α ≤ 0.05.
Table 12. Effect of gold nanoparticles (AuNPs) on the fruit variables, fresh and dry weight of the leaf area of tomato under greenhouse conditions.
Table 12. Effect of gold nanoparticles (AuNPs) on the fruit variables, fresh and dry weight of the leaf area of tomato under greenhouse conditions.
TreatmentsFruit/PlantFruitFresh Weight of Leaf Area (g)Dry Weight of Leaf Area (g)
Polar Diameter (cm)Equatorial Diameter (cm)Peduncle (cm)Fruit Weight (g)Hardness (kg/cm2)Degrees Brix (°Bx)TDS (mg L−1)pH
AuNPs 300 mg L−15.5 ± 0.5 c 17.5 ± 1.0 ab5.8 ± 0.7 bc0.95 ± 0.1 a74.9 ± 5.9 b2.46 ± 0.1 b6.0 ± 0.0 ab1373.5 ± 126 c3.4 ± 0.21 d389 ± 3.7 ab94.9 ± 0.9 bc
AuNPs 500 mg L−16.3 ± 1.1 bc8.2 ± 0.3 a6.9 ± 0.2 a0.96 ± 0.4 a80.0 ± 4.1 ab2.46 ± 0.1 b5.8 ± 0.3 b1140.0 ± 141 d3.6 ± 0.21 d225 ± 10.2 d74.6 ± 3.4 e
AuNPs 750 mg L−17.6 ± 0.6 b7.4 ± 0.7 ab5.5 ± 0.2 c0.84 ± 0.07 a55.4 ± 2.0 c2.83 ± 0.2 a5.7 ± 0.3 b1160.0 ± 40 d4.3 ± 0.29 c399 ± 7.9 a88.6 ± 1.8 d
AuNPs 1000 mg L−111.6 ± 1.5 a6.8 ± 0.9 b5.6 ± 0.9 c0.93 ± 0.1 a54.6 ± 2.7 c2.90 ± 0.1 a5.2 ± 0.3 c1079.3 ± 26.1 d4.7 ± 0.21 bc407 ± 13.2 a116.2 ± 3.8 a
Phorate™ (60 mg L−1)5.6 ± 0.6 c8.2 ± 0.7 a6.5 ± 0.3 ab1.20 ± 0.2 a82.4 ± 3.3 a2.30 ± 0.1 b6.3 ± 0.3 a2128.0 ± 158 a5.0 ± 0.33 b352 ± 16.2 c90.2 ± 4.1 cd
Untreated3.3 ± 0.6 d6.5 ± 0.5 b5.6 ± 0.4 c1.16 ± 0.3 a54.5 ± 2.4 c2.30 ± 0.1 b6.3 ± 0.2 a1588.7 ± 83 b7.2 ± 0.20 a372 ± 12.0 b97.9 ± 3.1 b
gl55555555555
F value28.980.073.631.0241.4911.368.4840.7492.47107.158.68
Pr(>F)2.65 × 10−6 2.770.0310.453.65 × 10−7 0.0010.0014.04 × 10−7 3.72 × 10−9 1.58 × 10−9 5.13 × 10− 8
LSD1.611.2 p0.910.426.460.230.47192.310.4420.085.48
CV13.529.718.6123.495.425.154.477.665.233.163.29
Means with different letters differ statistically. LSD, α ≤ 0.05.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ontiveros-Guerra, J.G.; Ramírez-Barrón, S.N.; Aguirre-Uribe, L.A.; Chacón-Hernández, J.C.; Sánchez-Vega, M.; Cerna-Chávez, E.; García-López, J.I.; Neira-Vielma, A.A.; Meléndez-Ortiz, H.I.; Hernández-Juárez, A. Effect of Gold Nanoparticles Against Tetranychus urticae and Phytoseiulus persimilis in Tomato. Agronomy 2025, 15, 1684. https://doi.org/10.3390/agronomy15071684

AMA Style

Ontiveros-Guerra JG, Ramírez-Barrón SN, Aguirre-Uribe LA, Chacón-Hernández JC, Sánchez-Vega M, Cerna-Chávez E, García-López JI, Neira-Vielma AA, Meléndez-Ortiz HI, Hernández-Juárez A. Effect of Gold Nanoparticles Against Tetranychus urticae and Phytoseiulus persimilis in Tomato. Agronomy. 2025; 15(7):1684. https://doi.org/10.3390/agronomy15071684

Chicago/Turabian Style

Ontiveros-Guerra, José Guadalupe, Sonia Noemí Ramírez-Barrón, Luis Alberto Aguirre-Uribe, Julio Cesar Chacón-Hernández, Miriam Sánchez-Vega, Ernesto Cerna-Chávez, Josué Israel García-López, Alberto Antonio Neira-Vielma, Héctor Iván Meléndez-Ortiz, and Agustín Hernández-Juárez. 2025. "Effect of Gold Nanoparticles Against Tetranychus urticae and Phytoseiulus persimilis in Tomato" Agronomy 15, no. 7: 1684. https://doi.org/10.3390/agronomy15071684

APA Style

Ontiveros-Guerra, J. G., Ramírez-Barrón, S. N., Aguirre-Uribe, L. A., Chacón-Hernández, J. C., Sánchez-Vega, M., Cerna-Chávez, E., García-López, J. I., Neira-Vielma, A. A., Meléndez-Ortiz, H. I., & Hernández-Juárez, A. (2025). Effect of Gold Nanoparticles Against Tetranychus urticae and Phytoseiulus persimilis in Tomato. Agronomy, 15(7), 1684. https://doi.org/10.3390/agronomy15071684

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop