Next Article in Journal
Machine Learning for Thermal Transport Prediction in Nanoporous Materials: Progress, Challenges, and Opportunities
Previous Article in Journal
Robust and Multi-Functional Electrically Responsive Gold/Polydopamine-Coated Liquid Crystalline Elastomer Artificial Muscles
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Innovative Application of Nanomaterials in Vegetable Cultivation: Recent Advances in Growth Promotion and Stress Tolerance

1
State Key Laboratory of Vegetable Biobreeding, National Engineering Research Center for Vegetables, Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
2
College of Horticulture, Hunan Agricultural University, Changsha 410128, China
3
Yuelu Mountain Laboratory, Changsha 410082, China
4
Changle County Agriculture and Rural Bureau, Fuzhou 262400, China
5
Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
6
Institute of Vegetable Crop, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
*
Authors to whom correspondence should be addressed.
Nanomaterials 2025, 15(21), 1659; https://doi.org/10.3390/nano15211659
Submission received: 1 September 2025 / Revised: 29 October 2025 / Accepted: 29 October 2025 / Published: 31 October 2025

Abstract

Vegetables are crucial to human diet and health. To ensure sustainable vegetable production, regulatory measures are needed to enhance seed germination, plant growth, and resilience to extreme environmental conditions. Nanomaterials (NMs), owing to their high surface area, nanoscale dimensions, and unique photocatalytic properties, exhibit remarkable biological effects, such as promoting germination and growth, as well as improving stress resistance in crops, offering novel solutions to key challenges in vegetable cultivation. This review summarizes the absorption pathways of NMs in plants, specifically through the leaves and roots of vegetables. Their uptake and translocation occur via passive diffusion, active transport, and endocytosis, with key influencing factors including particle size, chemical composition, surface charge, and surface modifications. We further evaluate the advantages of nanofertilizers and nanopesticides, in vegetable production over their traditional counterparts, focusing on improvements in seed germination rates, seedling vigor, biotic and abiotic stress tolerance, and overall yield and quality. Through this review, we aim to offer comprehensive insights into the application of NMs in vegetable crop production.

1. Introduction

Vegetables are essential components of the human diet, providing diverse nutrients for maintaining normal physiological functions [1]. Vegetable cultivation is characterized by short growth cycles, high productivity, and strong adaptability. However, it encounters significant challenges, including soil pollution, pesticide residues, poor germination efficiency, and frequent stresses [2]. These issues not only reduce crop yield and quality but also pose profound and enduring risks to both the environment and human health [3,4]. Nanomaterials (NMs), as an emerging agricultural technology, present a promising solution to these challenges.
NMs are defined as materials with at least one dimension in the nanoscale range (1–100 nm) or structures composed of nanoscale units, corresponding to approximately 10–1000 closely packed atoms [5,6]. Compared to conventional materials, NMs exhibit superior physical, chemical, and biological properties due to their high surface-to-volume ratio, small size, and unique photocatalytic activity [7,8,9,10]. These exceptional characteristics have enabled their widespread application in diverse fields, including biosensing, water purification, photocatalysis, and antibacterial agents [8]. Additionally, NMs have garnered significant attention for their capacity to modulate the adaptation responses of plants to various biotic and abiotic stresses [8]. In vegetable production systems, NMs are increasingly being utilized to enhance seed germination efficiency and seedling vigor, mitigate stress impacts, and improve crop yield and quality [6].
This review systematically examines the application of nanotechnology in vegetable cultivation, with particular emphasis on seed germination enhancement, plant growth promotion, and stress mitigation under adverse environmental conditions. Notably, as we embrace the potential benefits of NMs in vegetable cultivation, it is imperative to address certain concerns. The phytotoxicity brought about by excessive amounts of NMs takes a toll on seed germination and biomass production, disrupts the photosynthesis system, induces oxidative stress, compromises cell membrane integrity, alters gene expression, causes DNA damage, and leads to epigenetic variations in plants [11,12]. Given that vegetables are consumed fresh and in substantial quantities, evaluating the accumulation and potential toxicity of NMs in edible tissues, especially in leafy or root vegetables, becomes of paramount importance, as any adverse effects could have far-reaching consequences for public health. Therefore, we discuss current challenges and future perspectives to guide forthcoming research in this field.

2. Agricultural Applications of NMs in Vegetable Cultivation

A series of products with nano-features, namely nanofertilizers, nanopesticides, nanoanimal feed supplements, and nano-based devices and sensors, have been extensively employed in diverse agricultural domains. Of these applications, nanofertilizers and nanopesticides have gained particular prominence in commercial agriculture owing to their proven effectiveness in mitigating critical agricultural challenges, such as low nutrient use efficiency, excessive pesticide application, and environmental pollution (Figure 1) [13].

2.1. Nanofertilizers

Nanofertilizers represent a class of NMs that function either as direct plant nutrients (macro- and micronutrients) or as nutrient carriers [14]. With their nanoscale dimensions and high surface area-to-volume ratio [15], nanofertilizers facilitate controlled nutrient release and efficient plant uptake, thereby reducing fertilizer requirements and minimizing nutrient losses via runoff and leaching. Thus, compared to conventional fertilizers, nanofertilizers are superior in nutrient utilization efficiency, application cost, and environmental impact.
A key advantage of nanofertilizers is their tunable release kinetics, which enables sustained nutrient delivery to plants over prolonged periods [16]. This controlled-release manner maintains optimal soil nutrient levels without frequent fertilization [17]. Various nanofertilizers have demonstrated this feature, including ZnO [18], CeO [19], Se [20,21], TiO2 [22,23], Graphene [24], Chitosan/ZnO [25], Fe3O4 [26,27], Mn3O4 [28], etc. (Table 1). When applied, their controlled release enhances seed germination, improves water uptake, and promotes biomass accumulation. Additionally, TiO2 [22] and Si [29] NMs have been shown to improve soil structure, enhance water retention, and boost biotic stress resistance in plants. Moreover, these NMs mitigate phytotoxicity by reducing reactive oxygen species (ROS) accumulation and preserving photosynthetic apparatus from oxidative damage [30].
In summary, nanofertilizers demonstrate multifaceted benefits for modern agriculture by significantly enhancing nutrient use efficiency, substantially reducing fertilizer input requirements, and improving soil physicochemical properties. These combined effects promote robust seed germination, vigorous plant growth, and strengthened stress tolerance. Nanofertilizers represent a revolutionary approach to plant nutrition, enabling more efficient, sustainable, and tunable nutrient delivery systems.

2.2. Nanopesticides

Vegetable crops face persistent threats from both biotic and abiotic stressors [45]. While conventional pesticides provide partial protection, their detrimental ecological impacts have raised significant environmental concerns [46]. Nanopesticides, engineered through nanotechnology with controlled size distributions, offer enhanced efficacy and reduced environmental impact, representing an advanced alternative to traditional pesticides for agricultural plant protection [47]. These nanoformulations demonstrate superiority over traditional pesticides through enhanced water solubility and bioavailability of active ingredients, coupled with improved protection against environmental degradation. Nanopesticides also represent an innovative strategy for crop protection against pathogens, weeds, and pests [48].
Numerous NMs have demonstrated efficacy in plant protection, including CuO [49,50,51,52], MgO [53],Chitosan-decorated copper oxide (CH@CuO) [54], La2O3 [55], Ag [56], S [57], CoFe2O4 [58], NiFe2O4 [58], etc. (Table 2). They either protect plants from pathogen infection and/or enhance plant disease resistance through various mechanisms, such as disrupting hyphal cell walls, inhibiting hyphal growth, and preventing spore germination [59]. NMs like (GO) [60], The CeO2-based nanohybrid (MON@CeO) [61], and Ag [62] rapidly penetrate the pest cuticle to induce toxicity and impair reproductive capacity. In addition, certain nanopesticides can activate plant defense pathways, providing indirect protection against pests and pathogens [63]. For instance, Chitin nanofiber (CNF) [64], Cu [65], Carbon [66], Graphene-Cu [67], Bio-Mn [68] can systematically induce stress tolerance in vegetable plants, thereby enhancing their overall resilience to pests and diseases.
Collectively, nanopesticides are increasingly influencing conventional agricultural practices and advancing sustainable plant protection strategies. They directly suppress pest/pathogen infection and/or indirectly enhance plants’ stress tolerance through nanomaterial-specific properties [69].
Table 2. Nanopesticides applied in vegetable cultivation.
Table 2. Nanopesticides applied in vegetable cultivation.
NanopesticidesConcentrationSize (nm)Vegetable SpeciesReferences
Fe3O410 mg/LN/ACoriander[26]
Ag1 g415 nmCarrot[56]
AgN/A43–74 nmN/A[62]
Cu1 g339 nmCarrot[56]
Graphene-Cu100 mg/L22–97 nmTomato[67]
CH@CuO100 mg/L32.74 ± 2.3 nmTomato[54]
S100 mg/LN/ATomato[57]
CoFe2O4
and NiFe2O4
500 ppm25 nmPepper[58]
CuO3 mg/mL3.59–6.05 nmPotato[53]
MgO3 mg/mL3.71–6.58 nmPotato[53]
Fe2O3 NM-B, NM-H0.25 mM, 0.125 mM23.45 nm, 15.8 nmCucumber[70]
La2O3500 mg/L19.93 ± 6.95 nmCucumber[55]
Cu3(PO4)2·3H2O10 mg/LN/AWatermelon[71]
Bio-Mn100 µg/mL27.0–65.7 nmWatermelon[68]
Cu(OH) 2.5 mgN/ACucumber[72]
GO1000 ppm100 nmN/A[60]
S100 mg/L70–150 nmLettuce[73]
CNF1 mg/mL10–20 nmCabbage[64]
Biochar-iron500 mg/kgN/AChinese cabbage[31]
Mn3O4N/A9.7 ± 1.1 nmRape[74]
CeO2N/A6.8 ± 0.7 nmRape[74]
MON@CeO200 mg/L45.4 nmN/A[61]
Glycine betain-ZnO100 mg/L17.34 nmCoriander[75]
CMC-Nar (Naringenin based nanocomposites) N/A65 nmCumin[76]
ZnO50 mg/LN/ATomato[18]
Cu400 mg/kg40 nmCucumber[65]
Bio-Mn100 µg/mL27.0–65.7 nmWatermelon[68]
Mn3O4N/A8.9 ± 1.4 nmCucumber, Lettuce[28]
SiO2600 mg/LN/ALilium[77]

3. Uptake and Transportation of NMs in Plants

Plants internalize NMs primarily through leaves and roots [78]. NMs are commonly applied in powdered or liquid formulations [79]. To maximize delivery efficiency, powdered NMs are typically dissolved in solvent for precise concentration control, while liquid formulations are applied through targeted methods such as foliar spraying, stem injection, and root drip irrigation. This liquid-phase application significantly increases the interfacial contact between NMs and plant tissues, thereby enhancing absorption efficiency [79]. Notably, the physicochemical properties of NMs, including particle size, chemical composition, surface charge, and functional modifications, directly influence their permeation mode within plant intercellular spaces and transmembrane transport rates. Although conclusive experimental evidence clarifying their specific transport pathways remains lacking, passive diffusion, active transport, and endocytosis are widely recognized as potential primary mechanisms for NMs internalization into plant cells [80] (Figure 2c). These uptake mechanisms play a crucial role in determining how NMs interact with plant tissues, ultimately influencing their potential biological effects and agricultural applicability.

3.1. Pathways for Foliar Uptake

Vegetable leaves absorb NMs primarily through stomata and cuticular permeation (Figure 2a) [81]. The uptake mechanism is size-dependent: NMs < 5 nm in diameter can traverse the cuticle via polar channels (0.6–4.8 nm pores) for hydrophilic particles or nonpolar pathways for hydrophobic particles; while larger NMs (>10 nm) bypass cuticular restrictions by entering through stomatal apertures [82,83]. Following foliar entry, NMs initially transfer from the cell wall surface to the plasma membrane via ectodesmata. Subsequent intercellular transport occurs through plasmodesmata, enabling long-distance systemic distribution via the phloem [84].
NMs are intracellularly transported primarily through both passive diffusion and active transport pathways. Smaller NMs typically cross the plasma membrane via passive diffusion, while larger or chemically specific NMs require energy-dependent active transport mediated by membrane transport proteins, a process involving complex systems such as ion channels (e.g., OsGORK, OsAKT1), carrier proteins (e.g., OsHAK1, OsHAK5, OsHAK21), and ion pumps [85]. Additionally, studies have revealed that endocytosis may act as a significant complementary uptake pathway, in which NMs are internalized through membrane-bound vesicles [86].

3.2. Pathways for Root Uptake

NMs absorption in plant roots occurs primarily in the unlignified root hair zone (Figure 2b), where mucilage secretion and organic acid exudation contribute to the formation of a negatively charged rhizosphere. Such an electrostatic microenvironment favors the adsorption of positively charged nanoparticles, increasing their bioavailability [78,84,87]. Smaller NMs (3–5 nm) enter plant roots through osmotic pressure, capillary forces, or direct uptake via root epidermal cells [88,89]; while larger NMs (>5 nm) may induce localized membrane destabilization to generate transient pores in epidermal cell walls for entry [83]. Following their entry, internalization occurs through several coordinated mechanisms: (1) ion mimicry via specific channels such as aquaporins or K+ transporters, (2) vesicle-mediated endocytosis of surface-functionalized NMs, and (3) protein-assisted transport through membrane carriers like organic acid transporters. These pathways collectively facilitate NM systematic distribution within plant tissues [78].

4. The Roles of NMs in Plant Growth and Development

4.1. NMs Promote Seed Germination

Seed pretreatment regulates germination by inducing biochemical and physiological changes in seeds. Seed pretreatment with NMs has emerged as an innovative strategy to enhance seed vigor by modulating specific metabolic pathways [90]. Nanopriming technology demonstrates significant improvements in germination rates and synchrony, as well as seedling establishment (Table 3). Although the underlying mechanisms remain incompletely understood, current research has revealed potential modes of action across multiple levels: nanoparticles physically enhance seed imbibition efficiency; biochemically, they activate antioxidant enzyme systems and accelerate starch decomposition for optimized energy supply during seed germination; NMs also adopt physiological regulation by modulating hormonal balance (e.g., gibberellin/abscisic acid) to break seed dormancy; ecologically, NMs regulate rhizosphere microbiome to create favorable growth conditions for seedlings [91,92] (Figure 2c).
Optimal water uptake is essential for initiating metabolic activity and supporting early growth during seed germination [93]. Nanopriming has been reported to accelerate water absorption and prompt earlier germ root processes compared to conventional seed treatment methods [94]. Aquaporins (AQPs), which belong to the major intrinsic protein superfamily, play a crucial role in water homeostasis in vegetables. Some NMs, such as Halloysite Nanotubes (HNTs) and Carbon Nanotubes (CNTs), have been found to function as AQPs and promote water and gas absorption dependent on their unique tubular structure [95,96]. Furthermore, some NMs can stimulate the expression of plasma membrane intrinsic protein 1 and 2 (PIP1 and PIP2) genes, facilitating the formation of water channels on the cell membrane, thereby promoting water influx and improving overall seed germination performance. Additionally, the application of hydrophilic NMs, such as Si-based NMs, to seeds enhances the hydrophilicity of the surrounding environment, thereby increasing seed accessibility to water, which, consequently, accelerates seed germination and boosts seedling vigor [36].
Table 3. The effect of NMs on plants with specific quantitative data (percentage increases).
Table 3. The effect of NMs on plants with specific quantitative data (percentage increases).
NMsSeed Germination (%)Seedling Growth (%)Yield (%)References
SeN/AN/A19.8%[20]
CNTsN/AN/A63%[96]
SeN/AN/A67.6%[21]
Biochar-iron N/A34–200% (Shoot length),
16–118% (Root length),
5–150% (fresh biomass),
6–195% (Dry biomass)
N/A[31]
Mn3O4N/A62% (Root length)N/A[27]
Fe3O4N/A27–109% (Shoot length)N/A[26]
ZnO-CaO100%N/AN/A[35]
Fe3O4-SiO2N/A144% (root dry weight),
243% (shoot dry weight),
34.4% (leaf area)
N/A[37]
Zinc-Molybdenum25%N/AN/A[38]
GON/AN/A67% (fresh biomass), 65% (Dry biomass)[44]
CuO700%, 40%33%, 43% (Shoot length)N/A[39]
TiO236%129.27% (Shoot length),
252% (Root length),
56.10% (fresh biomass),
162.30% (Dry biomass)
N/A[43]
SeN/A17% (Shoot length),
25% (leaves),
55%, 79%[41]
ZnO107.4%N/AN/A[42]
MgO9%50% (Shoot length),
18% (Root length),
26% (Seedling length),
N/A[40]
In addition to the regulation of water absorption, NMs also significantly influence energy metabolism during seed germination by enhancing starch catabolism. Experimental evidence demonstrates that Ag NMs treatment elevates α-amylase activity by 2.6-fold and doubles soluble sugar content compared to untreated controls [97]. Further examination under scanning electron microscopy (SEM) revealed that seeds treated with NMs exhibit increased starch grain density with characteristic surface pitting, indicating accelerated hydrolysis [97,98]. Additionally, NMs treatment significantly increases the hormone gibberellin acid (GA), which positively correlates with α-amylase activity and is known to induce the production of α-amylase [99]. NMs also directly upregulate the expression of alpha-amylase 1 and 2 (AMY1 and AMY2), which are key genes involved in regulating α-amylase activity. Beyond transcriptional control, these genes encode proteins that physically interact with α-amylase, forming functional complexes essential for starch hydrolysis into soluble sugars [100]. These soluble sugars not only provide essential energy substrates for embryonic development but also facilitate seed germination.
Phytohormones play crucial roles in seed dormancy and germination, particularly abscisic acid (ABA) and gibberellins (GA). ABA primarily functions to prevent premature germination and induces primary dormancy, while GA promotes seed germination by antagonizing ABA-mediated inhibition [101]. NMs have been shown to promote seed germination through dynamically modulating ABA-GA balance by upregulating the expression of GA- and cytokinin (CTK)-related genes while suppressing ABA-associated genes [90,102]. For example, treatment of rapeseed with Se and ZnO NMs reduces the expression of ABA-related genes BnCYP707A1, 3, and 4, whereas it upregulates gibberellin-related genes BnGA20ox, BnGA3ox, and BnCPS [103]. Another study has demonstrated that priming rice seeds with Se NMs leads to an increase in GA3 content, accompanied by upregulation of OsGA3ox1 and OsGA20ox1 expression, and a decrease in ABA content, along with downregulation of OsNCED1 expression [90,104].
NMs also modulate seed germination by influencing soil microbial communities, particularly plant growth-promoting rhizobacteria (PGPR). Take Si-based NMs as an example; they have been demonstrated to exert a positive influence on the proliferation and activity of PGPR, such as Bacillus spp., within the rhizosphere. This, in turn, creates a more favorable environment for seed germination [36,105]. Furthermore, the synergistic application of Bacillus subtilis and CuO NMs leads to a noticeable increase in germination rates and a significant boost in seedling vigor. This is evidenced by enhanced root length, shoot elongation, and total biomass accumulation when compared to single-treatment controls [106]. PGPR, which actively secrete phytohormones like IAA and enzymes that break down seed dormancy factors, work in harmony with NMs (influencing PGPR proliferation and activity) to optimize the availability of nutrients around the seeds [107]. After germination, the synergistic effect between NMs and PGPR continues. They are capable of performing nitrogen fixation and phosphorus solubilization, thereby supplying essential nutrients to the seedlings [108]. These collective findings underscore the dual functionality of the NM-PGPR synergism. It not only promotes seed germination but also facilitates post-germinative growth.

4.2. NMs Promote Plant Growth

NMs have been widely used in agriculture, demonstrating significant potential to enhance physiological performance, yield, and nutritional quality of vegetable crops (Table 3) [109]. The unique physicochemical properties of NMs, particularly their nanoscale dimensions and high surface area-to-volume ratio, allow targeted interactions with plant systems, thereby enhancing efficient nutrient delivery, improved bioavailability, and precision modulation of plant developmental processes.
Additionally, extensive studies have shown that NMs can significantly enhance photosynthetic efficiency, improve nutrient acquisition, and optimize plant homeostasis [110] (Figure 2c). Following NMs treatment, plants exhibited significant improvements in key photosynthetic parameters, including chlorophyll content, chlorophyll fluorescence intensity, and Hill reaction activity [111]. This enhanced photosynthetic activity directly promoted photoassimilate production, resulting in significant increases in both root and shoot biomass (fresh and dry weight), ultimately promoting vegetable growth [112,113,114,115]. Metal-based and non-metal-based NMs employ distinct mechanisms to regulate plant photosynthesis. Metal-based NMs primarily enhance photosynthesis through direct interaction with porphyrins. For example, they can modulate the magnesium-porphyrin complex in chlorophyll, which constitutes the fundamental photochemical center responsible for light harvesting and charge separation [116]. In the chlorophyll biosynthesis pathway, magnesium protoporphyrin IX monomethyl ester cyclase catalyzes the formation of the characteristic chlorin macrocycle, which is one rate-limiting step that determines chlorophyll accumulation kinetics [117]. In the chlorophyll biosynthesis pathway, magnesium protoporphyrin IX monomethyl ester cyclase catalyzes the formation of the characteristic chlorin macrocycle, which is one rate-limiting step that determines chlorophyll accumulation kinetics [118]. These metal-porphyrin complexes facilitate photosynthetic systems by accelerating electron transfer, stabilizing reaction intermediates, and enhancing enzymatic catalysis. In contrast to metal-based NMs, non-metal-based NMs impact vegetable growth and photosynthesis through diverse mechanisms. GP NMs and their derivatives have demonstrated the ability to enhance photosynthetic efficiency in vegetable crops through promoting light absorption and scattering within vegetable leaves [119], as proved by GP-based nanofibers (GFNs), which extend the spectral absorption range and increase photon capture amount, thereby elevating the total quantum yield of photosynthesis [120].
NMs can also enhance vegetable growth by modulating their nutrient uptake. For instance, SiO2 NMs significantly affect the absorption of vegetables to essential nutrients, particularly N, P, K, and Mg [121]. TiO2 NMs boost nutrient bioavailability for vegetable crops, probably by altering the soil’s physical and chemical properties [22]. Si NMs form a protective layer around vegetable roots, which improves soil structure and water retention, consequently promoting more efficient nutrient acquisition by roots [29].
NMs also precisely regulate the biosynthesis and metabolic pathways of phytohormones, maintaining their dynamic homeostasis during plant growth and development. The hormones affected by NMs include auxin (IAA), CTK, GA, ABA, brassinosteroids (BR), ethylene (ETH), salicylic acid (SA), jasmonic acid (JA), nitric oxide, and melatonin [122]. NMs can specifically regulate the expression of key phytohormone biosynthetic genes, including GA synthesis genes (SPY, RGA, GAMYB, GA3, and GA5), ABA synthesis genes (NECD, ZEP, and AAO), CTK reductase genes (CKX1, CKX7, CKX5, CKX6), BR receptor kinase genes (BAK1, DET2, and CPD), and ETH synthase gene (ACS2) [120]. NMs usually regulate phytohormones in a concentration-dependent way. High concentration of ZnO NMs inhibits the biosynthesis of CTK and IAA while promoting the synthesis of SA and ABA. However, they significantly increase the content of stress-related cytokinin cis-zeatin at moderate concentration [123]. Ag NMs have been shown to inhibit the production of ETH, which is associated with vegetable senescence [124].
Furthermore, NMs have been found to stimulate the synthesis of critical antioxidant enzymes, such as superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD), which play a vital role in scavenging ROS generated under stress conditions, thereby contributing to cellular protection from oxidative damage [125]. In summary, integrated evidence demonstrates that NMs orchestrate plant homeostasis through coordinated molecular regulation of phytohormone networks and antioxidant defense systems, thereby promoting plant growth.

5. The Roles of NMs in Mitigating Biotic and Abiotic Stresses

5.1. Roles of NMs in Plant Disease Control

Plant diseases are one of the major threats to agricultural production. While traditional chemical pesticides are effective, they may lead to environmental pollution and pathogen resistance. In contrast, NMs can effectively suppress the occurrence or mitigate the damage of diseases by directly inhibiting pathogen growth, enhancing plant systemic resistance, and improving the growth environment. Therefore, NMs provide a more sustainable solution for agricultural disease control and prevention (Figure 2c).
NMs are considered to be good alternatives to conventional fungicides for plant disease control [126]. Numerous NMs exhibit direct antimicrobial activity against phytopathogens. For instance, ZnO NMs, on one hand, significantly inhibit the growth of Fusarium oxysporum, demonstrating an 80.73% inhibition rate in controlled greenhouse trials; on the other hand, they mitigate the severity of disease induced by Fusarium oxysporum, leading to enhanced yield and quality of sweet peppers [127]. Bio-Mn NMs facilitate plant defense by effectively hindering the colonization and invasive growth of bacterial wilt pathogens within watermelon roots. They inhibit the pathogen’s vegetative growth and sporulation processes, as well as distort conidial morphology, while maintaining pathogens’ cellular integrity in a compromised state [68]. Similarly, Fe2O3 NMs-B and Fe2O3 NMs-H, applied to cucumbers, effectively suppressed the occurrence of cucumber wilt disease, showing 70–75% protection efficacy compared to untreated controls [70].
NMs can also enhance plant immune responses and stress adaptation by regulating the expression of Pathogenesis-Related (PR) genes, modulating the content of salicylic acid (SA), triggering systemic acquired resistance (SAR), and interacting with the plant’s antioxidant system [128]. For instance, La2O3 and Bio-Mn NMs can suppress Fusarium wilt by activating SA signaling and SAR in watermelon [51,68]. CuO NMs significantly upregulate defense-related genes, PR1 and LOX1, in cucumber plants while reducing cucumber root rot incidence under both greenhouse and field conditions [129]. In addition, CuO NMs effectively control zucchini yellow mosaic virus (ZYMV) pathogenesis in pumpkin plants. These CuO NMs upregulate the expression of antioxidant enzyme genes (CAT and POX) and PR genes. The resulting PR proteins block plasmodesmata after ZYMV infection, thereby preventing viral transport and systemic spread within the plants [130].
In addition to directly eliminating pathogens or inducing disease resistance, NMs can indirectly promote vegetable health and enhance disease resistance by improving their growth environment and nutrient uptake. For example, adding 10 mg/kg CeO2 NMs to soil not only significantly alters soil metabolites but also increases the contents of IAA, sugar molecules (such as mannose, trehalose, and sucrose), indoles, and amino acids (such as tryptophan, phenylalanine, and tyrosine) in the soil [131]. Furthermore, it greatly promotes rhizosphere metabolism related to IAA biosynthesis and enriches beneficial rhizosphere microbiomes, particularly actinomycetes. Therefore, Rhizosphere transport and local IAA synthesis promote plant growth while stimulating the production of disease-resistant compounds such as amino acids, organic acids, and flavonoids [131].

5.2. Roles of NMs in Plant Pest Control

Frequent pest infestations cause substantial economic losses and adversely affect agricultural production. However, conventional pesticide applications reduce soil biodiversity, diminish pollinator populations, and harm non-target organisms. Multiple studies have demonstrated the beneficial effects of engineered NMs, either as active ingredients or in nanoformulations, on pest control and plant protection [132].
NMs can rapidly eradicate pests by penetrating pest exoskeletons to disrupt their physiological structures [60]. A key mechanism involves ROS overproduction, which induces oxidative stress and cellular damage. For instance, Ag NMs compromise the antioxidant system in Spodoptera pest by elevating ROS levels, which cause severe cellular structural damage that ultimately leads to cell death [133]. Similarly, Se NMs induce ROS production in pest cells, causing oxidative damage to cellular components such as lipids, proteins, and DNA. Furthermore, Se NMs inhibit the activities of antioxidant enzymes, such as CAT and SOD, thereby weakening the pest’s defense system and exacerbating oxidative stress. This cascade results in mitochondrial dysfunction, energy production impairment, and eventual cell death [134]. Beyond cellular toxicity, Se NMs also interfere with the development of Spodoptera littoralis (S. littoralis), leading to lower pupation rates and shorter pupal duration [134]. Similar findings were also reported by Abd El-Latef et al., who documented reduced pupation and impaired biological parameters in S. littoralis following Cu and Zn NMs treatment, along with decreased feed consumption [135]. Collectively, by targeting both physiological integrity and antioxidant pathways, NMs offer a promising alternative to traditional chemical pesticides, enabling efficient pest management while reducing environmental consequences.

5.3. Roles of NMs in Plants Facing Abiotic Stresses

Vegetable growth is often adversely affected by abiotic stresses. Given the increase in extreme climate events, global food security will largely depend on our ability to mitigate the detrimental impacts of various abiotic stressors, including heat, drought, salinity, floods, and nutritional imbalance, on vegetable cultivation and yield [136]. Under these stress conditions, plants undergo systemic damage involving membrane disruption, organelle dysfunction, and metabolic imbalance [137]. Emerging evidence indicates that NMs can effectively alleviate these adverse effects through strengthening antioxidant defense systems, maintaining osmotic homeostasis, and triggering stress-responsive metabolic reprogramming [138] (Figure 2c). These nanoscale interventions play roles at molecular, cellular, and ecological levels to support plant physiological functions under challenging environmental conditions.
A key mechanism underlying NM-mediated abiotic stress adaptation depends on their ability to enhance endogenous antioxidant capacity. For example, Mn3O4 NMs increase endogenous antioxidant levels in cucumber leaves by upregulating precursors and downstream products in the shikimate and phenylalanine metabolic pathways [139]. Cs-Se NMs can significantly improve plant growth parameters, enhance the antioxidant defense system, improve physiological and biochemical properties, and regulate key gene expression, collectively mitigating the damage of salt stress to plants [140]. CNTs and GP NMs elevate chlorophyll, ascorbic acid, glutathione, protein, and phenol contents in vegetables, as well as increasing activities of enzymes such as CAT, APX, GPX, and PAL [66]. Beyond direct biochemical modulation, ecological interactions also contribute to stress mitigation, as demonstrated by Cs-Se NMs that can enhance systemic plant resilience by promoting beneficial rhizosphere microorganisms [140].
NMs can also enhance abiotic stress tolerance through osmotic regulation. NMs alleviate osmotic imbalance by modulating the accumulation of both organic and inorganic osmolytes. For organic solute synthesis, CaO NMs enhance flavonoid biosynthesis by upregulating key relative genes, including phenylpropanoid synthesis genes (PAL, C4H, and 4CL1/4CL5), flavonoid skeleton formation genes (CHS, CHI, F3H, and F3′H), downstream modification genes (DFR, ANS, UGT78D2/UGT79B1, and MT), and transcriptional regulators (PAP1/PAP2) [141]. Similarly, TiO2 NMs alleviate PEG/Ni-induced stress by elevating proline and carbohydrate levels [142], while CMC-Nar boost drought tolerance through increased synthesis of phenolic compounds, flavonoids, and tannins [76]. Application of CaO NMs results in an increased accumulation of 28 metabolites and a decreased accumulation of 18 metabolites, primarily associated with nitrogen metabolism and amino acid biosynthesis in rapeseed. For inorganic ion homeostasis, NMs stabilize membrane integrity by regulating H+/K+ flux and Na+/K+ ratios [143], whereas Mn3O4 and CeO2 NMs enhance salt stress adaptation by upregulating the expression of BnaSOS1 (salt oversensitivity 1, a sodium/hydrogen antiporter used for sodium ion exclusion) BnaHKT1 (high-affinity sodium ion transporter), BnaNHX1 (sodium/hydrogen exchanger used for sodium ion sequestration in the cytoplasmic matrix) to maintain cellular ion equilibrium [74].
NMs provide energy support for stress adaptation through metabolic pathway activation. Cu (OH)2 NMs influence central carbon metabolism by promoting glycolysis and the TCA cycle, which not only generates ATP but also supplies precursors for aromatic compound and shikimate-phenylpropanoid biosynthesis [72]. GO enhances carbon metabolism by elevating the activities of key enzymes like SPS and SS, and effectively promotes the GS-GOGAT cycle to strengthen nitrogen metabolism [144]. Nano-PM increases NADP and NADPH levels by enhancing the activities of key enzymes (NADK and G6PDH) in the pentose phosphate pathway (PPP). It is also involved in elevating mitochondrial ATPase activity, maintaining the integrity of mitochondrial membranes and structures, and regulating electron transfer during mitochondrial respiration. These collective actions facilitate the energy metabolism and alleviate senescence of plants [145].
In summary, this multilevel protective framework establishes NMs as versatile tools for abiotic stress mitigation. By targeting antioxidant systems, osmotic regulation, and metabolic networks, nanotechnology provides a comprehensive strategy to sustain vegetable productivity under increasingly challenging environmental conditions.

6. Challenges and Safety Considerations for NMs Applications

6.1. Soil Environmental Pollution and Food Safety Risks Resulting from NMs

In recent years, a large number of studies have demonstrated that NMs can enhance plants’ nutrient uptake efficiency, strengthen their resistance to pests and diseases, and increase crop yields. These advantages have driven the rapid adoption and application of NMs in agricultural practices, especially in vegetable cultivation. However, amidst these benefits, concerns have arisen regarding the potential environmental and health hazards associated with NMs use.
The plant uptake, transportation and accumulation of most nanoparticles at high concentrations cause phytotoxicity, which decreases crop productivity by modifying plants’ cellular structure, physiological and biochemical processes, and molecular irregularities [11]. Furthermore, not all NMs employed in agriculture are entirely absorbed by vegetable crops. A significant portion of them may remain in the soil [146]. It is estimated that around 9–38% of NMs from nano-products end up in soils, posing a risk to biota [147]. NMs may interact with soil components in unpredictable ways, altering soil structure, water-holding capacity, and nutrient cycling processes [148]. Take ZnO and CuO NMs as examples. These NMs can disrupt soil microorganisms by altering the synthesis of key metabolic products (such as phenazines and siderophores) in rhizosphere microbes, thereby reducing the bioavailability of iron in the soil [149].
In addition to their impacts on soil, NMs also pose threats to water bodies. The potential for NMs to enter rivers, lakes, or groundwater through runoff or leaching from agricultural fields further heightens environmental worries.
The environmental pollution caused by NMs in soil also raises concerns about food safety. Several studies have indicated that NMs may enter the human body through the food chain and have potential health effects [150]. For example, NMs may penetrate alveolar and cellular membranes, directly affecting the respiratory and immune systems of animals. Inhalation of carbon nanotubes can lead to lung tissue damage and lung fibrosis. Inhalation of carbon nanotubes may lead to lung cancer in the same way that inhalation of asbestos fibers does [151].
Besides respiratory and lung-related issues, NMs can also cause other health problems. Additionally, research has pointed out that nanoplastics are capable of causing the breakdown of physiological balance in the human body, resulting in blood clot formation or the occurrence of cardiovascular diseases [152]. Given these findings, it is imperative to conduct adequate risk assessments when using NMs in food crops to ensure their safety for human consumption, as neglecting these aspects could undermine the very benefits that NMs aim to provide [125].

6.2. Methods for Assessing the Safety Performance of NMs

With the increasing application of engineered nanoparticles in electronics, consumer products, pesticides, food, and pharmaceutical industries, concerns are growing about their potential human health hazards [153]. Thus, there is an urgent need for rapid and reliable methods to assess the health hazard potential of engineered NMs [154].
Traditional methods for evaluating the safety of NMs are not only time-consuming and costly but also resource-intensive and raise ethical concerns due to their dependence on animal testing. Following the 3Rs principle (reduction, refinement, and replacement of animal use in research), there is a pressing need to develop alternative strategies for in vitro testing of NMs [155]. As a result, an increasing number of models, testing methodologies, and machine learning-based approaches for NM safety assessment are emerging.
To examine NMs in vitro, various models and tests can be used, including cell culture models and physicochemical analyses of core–shell-coating interactions. Human-derived cells (either cell lines or primary cells) maintained under physiologically relevant, in vivo-mimicking conditions may serve as an optimal model system. Beyond standard toxicity testing parameters, special consideration should be given to emerging toxic effects, particularly those resulting from epigenetic modifications [7]. By establishing innovative testing strategies, we can advance toward a more efficient, ethically sound, and comprehensive framework for NMs safety assessment.
Furthermore, researchers have developed a machine learning-based approach to predict the toxic effects of NMs on cells. Using automated optimization tools and synthetic data augmentation techniques, a study addresses class imbalance issues through parameter optimization and synthetic data generation [156]. Additionally, it develops a domain-specific applicability assessment framework for nanotoxicology predictions, significantly improving the reliability of model outputs. This approach establishes an efficient and accurate computational framework for NMs safety assessment, highlighting the significance of interdisciplinary collaboration in accelerating nanotechnology innovation and promoting environmentally sustainable nanotechnology development [157].
The safety performance assessment of NMs constitutes a multifaceted challenge that requires the application of rigorous scientific methodologies and analytical tools to fully characterize their potential hazards. Such comprehensive evaluations provide a solid scientific basis for formulating effective regulatory strategies.

7. Conclusions and Outlook

With the ongoing technological advancements in NMs development, NMs are expected to be more widely used in agricultural production systems. This widespread application is anticipated to not only enhance agronomic efficiency, such as by improving crop yields and quality, but also align with sustainable agricultural practices by reducing the reliance on chemical fertilizers and pesticides, thus minimizing environmental pollution.
Existing studies have demonstrated the effects of NMs on vegetable growth and development, their underlying mechanisms remain incompletely understood. Additionally, the potential of NMs in mitigating stress damage requires further exploration. Current applications of NMs in stressed plants mainly target the induction of plant defense responses. Nevertheless, emerging evidence suggests that NMs may also enhance vegetable stress resistance through alternative mechanisms, such as by modulating both rhizospheric and endophytic microbial communities. In the future, integrating multi-omics technologies, including genomics, proteomics, and metabolomics, will enable us to gain a deeper understanding of the roles of NMs in modulating vegetable cultivation.
It is important to note that different vegetable species or varieties may exhibit significant variability in their responses to NMs. For example, certain NMs (e.g., CNTs, Se, etc.) may be more effective in promoting the growth of leafy vegetables like spinach and lettuce, potentially by enhancing chlorophyll synthesis and photosynthetic efficiency. Conversely, other NMs (e.g., ZnO, etc.) may show greater efficacy in root vegetables such as carrots and radishes, possibly by stimulating root elongation and nutrient absorption. Additionally, the optimal concentration of NMs can vary considerably among vegetable crops; low doses may be insufficient to elicit beneficial effects, while excessive concentrations could induce toxicity, leading to stunted growth or tissue damage. Despite these variations in response, systematic approaches can help identify suitable NM types and concentrations. For instance, by considering the specific needs and characteristics of each vegetable species or variety, conducting preliminary trials to determine the potentially optimal dosage and application method, and selecting NM types that are biologically compatible with the target vegetables, we can effectively manage this variability and ensure safer, more efficient use of NMs in agriculture.
Precision application of NMs will thus emerge as a pivotal research area. Current methods of nanoparticle application are still relatively coarse. Future development should focus on engineering intelligent NMs capable of targeted translocation and controlled release within vegetable tissues, thereby improving utilization efficiency while minimizing negative impacts on the environment and ecology. Concurrently, rigorous safety assessment and risk prevention of NMs must be prioritized. This necessitates establishing a multidisciplinary safety evaluation framework to systematically assess the influences of NMs application on environments, enabling science-based risk management protocols that ensure sustainable implementation of NM technologies in agriculture while safeguarding ecosystem integrity.

Author Contributions

W.L.: Conceptualization, Investigation, Writing—original draft. Y.B.: Conceptualization, Methodology, Resources, Writing—review and editing. D.Z., Y.L., P.Z., J.Z., S.G., Y.Y., J.W., Y.R., G.G. and H.Z.: Conceptualization, Writing—review and editing. C.H.: Methodology, Writing—review and editing. F.B.: Data curation, Writing—review and editing. Y.Q.: Conceptualization, Data curation, Writing—review and editing. Z.W.: Data curation, Methodology, Writing—review and editing. Y.X.: Funding acquisition, Software, Supervision, Writing—review and editing. G.L.: Conceptualization, Methodology, Writing—review and editing. S.D.: Conceptualization, Data curation, Formal analysis, Writing—original draft, Writing—review and editing. M.L.: Data curation, Formal analysis, Funding acquisition, Writing—original draft, Writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by National Technical System for Watermelon and Melon Industry (CARS-25), National Natural Science Foundation of China (Grant No. 31801885 and 32372713) and Technological Innovation Capacity Construction Special Funds of Beijing Academy of Agriculture and Forestry (KJCX20240337).

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Manzoor, J.; Sharma, M.; Wani, K. Heavy metals in vegetables and their impact on the nutrient quality of vegetables: A review. J. Plant Nutr. 2018, 41, 1744–1763. [Google Scholar] [CrossRef]
  2. Zeng, Z.; Wang, Y.; Wang, H.; Li, Y.; Chen, B.; Gou, R.; Wang, D.; Jiang, Y.; Zheng, Y.; Hamed, K.E. Nanomaterials: Cross-disciplinary applications in ornamental plants. Nanotechnol. Rev. 2024, 13, 20240049. [Google Scholar] [CrossRef]
  3. Liu, D.; Chen, T.; Gong, Y.; Chen, X.; Zhang, W.; Xiao, R.; Yang, Y.; Zhang, T. Deciphering the key factors affecting pesticide residue risk in vegetable ecosystem. Environ. Res. 2024, 258, 119452. [Google Scholar] [CrossRef] [PubMed]
  4. Bhandari, G.; Atreya, K.; Scheepers, P.T.; Geissen, V. Concentration and distribution of pesticide residues in soil: Non-dietary human health risk assessment. Chemosphere 2020, 253, 126594. [Google Scholar] [CrossRef]
  5. Li, F.; Liu, P.; Yi, L.S. Rehabilitation Treatment and Monitoring of Ankle Achilles Tendon Ligament Injury in Athletes Repaired by Nanomaterials. J. Nanomater. 2022, 2022, 5156292. [Google Scholar] [CrossRef]
  6. Shweta; Sonia, S.; Akhilesh, S.; Sanjay, C.; Vishal, G. Nanotechnology: A cutting-edge technology in vegetable production. J. Hortic. Sci. Biotechnol. 2021, 96, 682–695. [Google Scholar] [CrossRef]
  7. Demir, E. A review on nanotoxicity and nanogenotoxicity of different shapes of nanomaterials. J. Appl. Toxicol. 2020, 41, 118–147. [Google Scholar] [CrossRef]
  8. Wang, J.; Wu, H.; Wang, Y.; Ye, W.; Yin, K.Z. Small particles, big effects: How nanoparticles can enhance plant growth in favorable and harsh conditions. J. Integr. Plant Biol. 2024, 66, 1274–1294. [Google Scholar] [CrossRef]
  9. Jaison, J.; Ahmed, B.; Chan, Y.S.; Alain, D.; Danquah, M.K. Review on nanoparticles and nanostructured materials: History, sources, toxicity, and regulations. Beilstein J. Nanotechnol. 2018, 9, 1050–1074. [Google Scholar] [CrossRef] [PubMed]
  10. Nandhini, R.; Rajeswari, E.; Harish, S.; Sivakumar, V.; Gangai, S.R.; Jaya, S.D. Role of chitosan nanoparticles in sustainable plant disease management. J. Nanopart. Res. 2025, 27, 13. [Google Scholar] [CrossRef]
  11. Gowtham, H.G.; Shilpa, N.; Singh, S.B.; Aiyaz, M.; Abhilash, M.R.; Nataraj, K.; Amruthesh, K.N.; Ansari, M.A.; Alomary, M.N.; Murali, M. Toxicological effects of nanoparticles in plants: Mechanisms involved at morphological, physiological, biochemical and molecular levels. Plant Physiol. Biochem. 2024, 210, 108604. [Google Scholar] [CrossRef]
  12. Muzammil, S.; Ashraf, A.; Siddique, M.H.; Aslam, B.; Rasul, I.; Abbas, R.; Afzal, M.; Faisal, M.; Hayat, S. A review on toxicity of nanomaterials in agriculture: Current scenario and future prospects. Sci. Prog. 2023, 106, 00368504231221672. [Google Scholar] [CrossRef]
  13. Abd-Elsalam, K.A. Special Issue: Agricultural Nanotechnology. Plants 2024, 13, 489. [Google Scholar] [CrossRef] [PubMed]
  14. Arora, P.K.; Tripathi, S.; Omar, R.A.; Chauhan, P.; Sinhal, V.K.; Singh, A.; Srivastava, A.; Garg, S.K.; Singh, V.P. Next-generation fertilizers: The impact of bionanofertilizers on sustainable agriculture. Microb. Cell Fact. 2024, 23, 254. [Google Scholar] [CrossRef] [PubMed]
  15. Ding, Y.; Zhao, W.; Zhu, G.; Wang, Q.; Zhang, P.; Rui, Y. Recent Trends in Foliar Nanofertilizers: A Review. Nanomaterials 2023, 13, 2906. [Google Scholar] [CrossRef]
  16. Nongbet, A.; Mishra, A.K.; Mohanta, Y.K.; Mahanta, S.; Ray, M.K.; Khan, M.; Baek, K.H.; Chakrabartty, I. Nanofertilizers: A Smart and Sustainable Attribute to Modern Agriculture. Plants 2022, 11, 2587. [Google Scholar] [CrossRef]
  17. Naderi, M.R.; Danesh-Shahraki, A. Nanofertilizers and their roles in sustainable agriculture. Int. J. Agric. Crop Sci. 2013, 5, 2229–2232. [Google Scholar]
  18. Mohammad, F.; Akhter, B.J.; Chen, C.; Nasser, A.M.; Leonard, W.; Parvaiz, A.; Fangyuan, Y. Zinc oxide nanoparticles (ZnO-NPs) induce salt tolerance by improving the antioxidant system and photosynthetic machinery in tomato. Plant Physiol. Biochem. 2021, 161, 122–130. [Google Scholar] [CrossRef]
  19. Zhao, M.J.; Chen, F.R.; Li, X.N.; Wang, C.X.; Cao, X.S.; Jiao, L.Y.; Yue, L.; Wang, Z.Y. Rhizosphere regulation with cerium oxide nanomaterials promoted carrot taproot thickening. Environ. Sci. Nano. 2024, 11, 3359–3373. [Google Scholar] [CrossRef]
  20. Wang, C.; Yue, L.; Cheng, B.; Chen, F.; Zhao, X.; Wang, Z.; Xing, B. Mechanisms of growth-promotion and Se-enrichment in Brassica chinensis L. by selenium nanomaterials: Beneficial rhizosphere microorganisms, nutrient availability, and photosynthesis. Environ. Sci. Nano 2022, 9, 302–312. [Google Scholar] [CrossRef]
  21. Cheng, B.; Wang, C.; Chen, F.; Yue, L.; Cao, X.; Liu, X.; Yao, Y.; Wang, Z.; Xing, B. Multiomics understanding of improved quality in cherry radish (Raphanus sativus L. var. radculus pers) after foliar application of selenium nanomaterials. Sci. Total Environ. 2022, 824, 153712. [Google Scholar] [CrossRef]
  22. Ko, J.A.; Hwang, Y.S. Effects of nanoTiO2 on tomato plants under different irradiances. Environ. Pollut. 2019, 255, 113141. [Google Scholar] [CrossRef]
  23. Jahan, S.; Alias, Y.B.; Bakar, A.F.B.A.; Yusoff, I.B. Toxicity evaluation of ZnO and TiO2 nanomaterials in hydroponic red bean (Vigna angularis) plant: Physiology, biochemistry and kinetic transport. J. Environ. Sci. 2018, 13, 140–152. [Google Scholar] [CrossRef] [PubMed]
  24. López-Vargas, E.R.; González-García, Y.; Pérez-Álvarez, M.; Cadenas-Pliego, G.; González-Morales, S.; Benavides-Mendoza, A.; Cabrera, R.I.; Juárez-Maldonado, A. Seed Priming with Carbon Nanomaterials to Modify the Germination, Growth, and Antioxidant Status of Tomato Seedlings. Agronomy 2020, 10, 639. [Google Scholar] [CrossRef]
  25. Neelam, R.; Kusum; Vinita, H. Chitosan/ZnO nanocomposites for improving the growth and reducing the toxicity of Zn in Sorghum bicolor (L.) Moench plants. Acta Physiol. Plant. 2024, 46, 67. [Google Scholar] [CrossRef]
  26. Fahad; Balouch, A.; Agheem, M.H.; Memon, S.A.; Qasim, S. Efficient mitigation of cadmium and lead toxicity in coriander plant utilizing magnetite (Fe3O4) nanofertilizer as growth regulator and antimicrobial agent. Int. J. Environ. Anal. Chem. 2020, 102, 3868–3879. [Google Scholar] [CrossRef]
  27. Zhao, W.; Ma, T.; Zhou, P.; Wu, Z.; Tan, Z.; Rui, Y. Insights into the effect of manganese-based nanomaterials on the distribution trait and nutrition of radish (Raphanus sativus L.). Plant Physiol. Biochem. 2024, 207, 108428. [Google Scholar] [CrossRef]
  28. Lu, L.; Huang, M.; Huang, Y.; Corvini, P.F.-X.; Ji, R.; Zhao, L. Mn3O4 nanozymes boost endogenous antioxidant metabolites in cucumber (Cucumis sativus) plant and enhance resistance to salinity stress. Environ. Sci. Nano 2020, 7, 1692–1703. [Google Scholar] [CrossRef]
  29. Shoukat, A.; Pitann, B.; Hossain, M.S.; Saqib, Z.A.; Nawaz, A.; Mühling, K.H. Zinc and silicon fertilizers in conventional and nano-forms: Mitigating salinity effects in maize (Zea mays L.). J. Plant Nutr. Soil Sci. 2024, 187, 678–689. [Google Scholar] [CrossRef]
  30. Al-Mamun, M.R.; Hasan, M.R.; Ahommed, M.S.; Bacchu, M.S.; Ali, M.R.; Khan, M.Z.H. Nanofertilizers towards sustainable agriculture and environment. Environ. Technol. Innovation. 2021, 23, 101658. [Google Scholar] [CrossRef]
  31. Aborisade, M.A.; Oba, B.T.; Kumar, A.; Liu, J.; Chen, D.; Okimiji, O.P.; Zhao, L. Remediation of metal toxicity and alleviation of toxic metals-induced oxidative stress in Brassica chinensis L. using biochar-iron nanocomposites. Plant Soil 2023, 493, 629–645. [Google Scholar] [CrossRef]
  32. Tombuloglu, H.; Alsaeed, M.; Slimani, Y.; Demir-Korkmaz, A.; Tombuloglu, G.; Sozeri, H.; Almessiere, M.A.; Baykal, A.; Kayed, T.S.; Ercan, I. Formulation of Manganese Zinc Spinel Ferrite (Mn0.5Zn0.5Fe2O4) Nanoparticles for the Growth Promotion of Plants. J. Plant Nutr. Soil Sci. 2023, 23, 3561–3574. [Google Scholar] [CrossRef]
  33. Xu, X.; Li, W.; Hu, C.; Lei, B.; Zhang, X.; Li, Y.; Zhan, Q.; Liu, Y.; Zhuang, J. Promoting the Growth of Mung Bean Plants through Uptake and Light Conversion of NaYF4:Yb,Er@CDs Nanocomposites. ACS Sustain. Chem. Eng. 2020, 8, 9751–9762. [Google Scholar] [CrossRef]
  34. Raju, D.; Mehta, U.J.; Beedu, S.R. Biogenic green synthesis of monodispersed gum kondagogu (Cochlospermum gossypium) iron nanocomposite material and its application in germination and growth of mung bean (Vigna radiata) as a plant model. IET Nanobiotechnol. 2016, 10, 141–146. [Google Scholar] [CrossRef]
  35. Anand, K.V.; Keerthika, S.; Vasantharaja, R.; Kannan, M.; Preetha, S.; Selvan, S.M.; Chaturvedi, S.; Govindaraju, K. Biogenic preparation of ZnO, CaO, and ZnO-CaO nanocomposites and its influence on agro-morphological characteristics of mung bean. Environ. Sci. Pollut. Res. 2022, 29, 22251–22259. [Google Scholar] [CrossRef]
  36. Awal, S.A.; Shinya, M.; Ahmad, F.; Toshiyuki, F.; Takeshi, S.; Wuled, L.I. The Role of Silica Nanoparticles in Promoting the Germination of Tomato (Solanum lycopersicum) Seeds. Nanomaterials 2023, 13, 2110. [Google Scholar] [CrossRef]
  37. Irshad, M.K.; Ansari, J.R.; Noman, A.; Javed, W.; Lee, J.C.; Aqeel, M.; Waseem, M.; Lee, S.S. Seed priming with Fe3O4-SiO2 nanocomposites simultaneously mitigate Cd and Cr stress in spinach (Spinacia oleracea L.): A way forward for sustainable environmental management. Ecotox. Environ. Saf. 2024, 286, 117195. [Google Scholar] [CrossRef]
  38. Chaparro, E.H.O.; Estrada, C.A.R.; Páez, J.C.A.; Sánchez, E.; Álvarez, S.P.; Esparza, L.U.C.; Márquez, E.M.; Mendoza, C.C.; Cruz, J.J.P.; Lagos, C.L.F. Nanopriming with Zinc–Molybdenum in Jalapeño Pepper on Imbibition, Germination, and Early Growth. Agronomy 2024, 14, 1609. [Google Scholar] [CrossRef]
  39. Rocha, J.D.G.D.; Rodrigues, G.A.G.; Tirroni, J.; Keller, P.E.; Mioto, P.T.; Soares, C.; Padoin, N.; Riella, H.G. Effect of CuO nanoparticles from yerba mate on germination and initial growth of lettuce and tomato seeds. J. Environ. Chem. Eng. 2025, 13, 118852. [Google Scholar] [CrossRef]
  40. Anand, K.V.; Anugraga, A.R.; Kannan, M.; Singaravelu, G.; Govindaraju, K. Bio-engineered magnesium oxide nanoparticles as nano-priming agent for enhancing seed germination and seedling vigour of green gram (Vigna radiata L.). Mater. Lett. 2020, 271, 127792. [Google Scholar] [CrossRef]
  41. Tsivileva, O.M.; Perfileva, A.I. Mushroom-Derived Novel Selenium Nanocomposites’ Effects on Potato Plant Growth and Tuber Germination. Molecules 2022, 27, 4438. [Google Scholar] [CrossRef]
  42. Tymoszuk, A.; Wojnarowicz, J. Zinc Oxide and Zinc Oxide Nanoparticles Impact on In Vitro Germination and Seedling Growth in Allium cepa L. Materials 2020, 13, 2784. [Google Scholar] [CrossRef]
  43. Abdelmagid, S.Y.; Gharib, F.A.E.L.; Ahmed, E.Z. Impact of titanium nanoparticles on germination and early growth of faba bean (Vicia faba L.). Sci. Rep. 2025, 15, 32450. [Google Scholar] [CrossRef]
  44. Shafiq, M.F.; Huma, A.Z.e.; Danish, A.M.; Arusa, A.; Tehmina, A.; Hamza, R.; Guihua, L. Green synthesis and application of GO nanoparticles to augment growth parameters and yield in mungbean (Vigna radiata L.). Front. Plant Sci. 2022, 13. [Google Scholar] [CrossRef]
  45. Lai, S.-H.; Chye, M.-L. Plant Acyl-CoA-Binding Proteins-Their Lipid and Protein Interactors in Abiotic and Biotic Stresses. Cells 2021, 10, 1064. [Google Scholar] [CrossRef]
  46. Hajji-Hedfi, L.; Chhipa, H. Nano-based pesticides: Challenges for pest and disease management. Euro-mediterr. J. Environ. 2021, 6, 69. [Google Scholar] [CrossRef]
  47. Chaudhary, P.; Khati, P.; Chaudhary, A.; Maithani, D.; Kumar, G.; Sharma, A. Cultivable and metagenomic approach to study the combined impact of nanogypsum and Pseudomonas taiwanensis on maize plant health and its rhizospheric microbiome. PLoS ONE 2021, 16, e0250574. [Google Scholar] [CrossRef]
  48. Ayilara, M.S.; Adeleke, B.S.; Akinola, S.A.; Fayose, C.A.; Adeyemi, U.T.; Gbadegesin, L.A.; Omole, R.K.; Johnson, R.M.; Uthman, Q.O.; Babalola, O.O. Corrigendum: Biopesticides as an alternative to synthetic pesticides: A case for nanopesticides, phytopesticides and microbial pesticides. Front. Microbiol. 2024, 14, 1258968. [Google Scholar] [CrossRef] [PubMed]
  49. Karunakaran, G.; Jagathambal, M.; Kumar, G.S.; Kolesnikov, E. Hylotelephium telephium Flower Extract-Mediated Biosynthesis of CuO and ZnO Nanoparticles with Promising Antioxidant and Antibacterial Properties for Healthcare Applications. JOM 2020, 72, 1264–1272. [Google Scholar] [CrossRef]
  50. Yu, W.X.; Ming, C.Y.; Bo, N.X.; Li, Z.L. Optimized wet-chemical synthesis of ultra-small CuO nanoparticles with high antibacterial activity. J. Nanopart. Res. 2024, 26, 119. [Google Scholar] [CrossRef]
  51. Juan-Ni, C.; Lin-Tong, W.U.; Kun, S.; Yun-Song, Z.; Wei, D. Nonphytotoxic copper oxide nanoparticles are powerful “nanoweapons” that trigger resistance in tobacco against the soil-borne fungal pathogen Phytophthora nicotianae. J. Integr. Agric. 2022, 21, 3245–3262. [Google Scholar] [CrossRef]
  52. Shuaikang, L.; Weiqiang, T.; Zhongwei, L.; Xuefeng, W.; Kai, Y.; Wei, D.; Siang, C.; Shuhan, C.; Dong, Z.; Lin, C. Biosynthesis of cupric oxide nanoparticles: Its antiviral activities against TMV by directly destroying virion and inducing plant resistance. Phytopathol. Res. 2024, 6, 30. [Google Scholar] [CrossRef]
  53. Rabea, A.; Naeem, E.; Balabel, N.M.; Daigham, G.E. Management of potato brown rot disease using chemically synthesized CuO-NPs and MgO-NPs. Bot. Stud. 2023, 64, 20. [Google Scholar] [CrossRef]
  54. Ismail, A.M.; Mosa, M.A.; El-Ganainy, S.M. Chitosan-Decorated Copper Oxide Nanocomposite: Investigation of Its Antifungal Activity against Tomato Gray Mold Caused by Botrytis cinerea. Polymers 2023, 15, 1099. [Google Scholar] [CrossRef]
  55. Luo, X.; Wang, Z.; Wang, C.; Yue, L.; Tao, M.; Elmer, W.H.; White, J.C.; Cao, X.; Xing, B. Nanomaterial Size and Surface Modification Mediate Disease Resistance Activation in Cucumber (Cucumis sativus). ACS Nano 2023, 17, 4871–4885. [Google Scholar] [CrossRef]
  56. Usman, O.; Baig, M.M.M.; Ikram, M.; Iqbal, T.; Islam, S.; Syed, W.; Al-Rawi, M.B.A. Green synthesis of metal nanoparticles and study their anti-pathogenic properties against pathogens effect on plants and animals. Sci. Rep. 2024, 14, 11354. [Google Scholar] [CrossRef]
  57. Cao, X.; Wang, C.; Luo, X.; Yue, L.; White, J.C.; Elmer, W.; Dhankher, O.P.; Wang, Z.; Xing, B. Elemental Sulfur Nanoparticles Enhance Disease Resistance in Tomatoes. ACS Nano 2021, 15, 11817–11827. [Google Scholar] [CrossRef] [PubMed]
  58. Parul, S.; Adikshita, S.; Monica, S.; Nikhil, B.; Pedro, E.; Aditya, J.; Preeti, T.; Atul, T. Nanomaterial Fungicides: In Vitro and In Vivo Antimycotic Activity of Cobalt and Nickel Nanoferrites on Phytopathogenic Fungi. Glob. Chall. 2017, 1, 1700041. [Google Scholar] [CrossRef]
  59. Bouqellah, N.A.; Abdulmajeed, A.M.; Alharbi, F.K.R.; Mattar, E.; Al-Sarraj, F.; Abdulfattah, A.M.; Hassan, M.M.; Baazeem, A.; Al-Harthi, H.F.; Musa, A. Optimizing encapsulation of garlic and cinnamon essential oils in silver nanoparticles for enhanced antifungal activity against Botrytis cinerea pathogenic disease. Physiol. Mol. Plant Pathol. 2025, 136, 102522. [Google Scholar] [CrossRef]
  60. Lampiri, E.; Yap, P.L.; Berillis, P.; Athanassiou, C.G.; Losic, D. Graphene powders as new contact nanopesticides: Revealing key parameters on their insecticidal activity for stored product insects. Chemosphere 2024, 364, 143200. [Google Scholar] [CrossRef] [PubMed]
  61. Zeng, Q.; Yu, C.; Chang, X.; Wan, Y.; Ba, Y.; Li, C.; Lv, H.; Guo, Z.; Cai, T.; Ren, Z. CeO2 nanohybrid as a synergist for insecticide resistance management. Chem. Eng. J. 2022, 446, 137074. [Google Scholar] [CrossRef]
  62. Aziz, A.T.; Alshehri, M.A.; Panneerselvam, C.; Murugan, K.; Trivedi, S.; Mahyoub, J.A.; Hassan, M.A.M.; Maggi, F.; Sut, S.; Dall’Acqua, S. The desert wormwood (Artemisia herba-alba)—From Arabian folk medicine to a source of green and effective nanoinsecticides against mosquito vectors. J. Photochem. Photobiol. B Biol. 2018, 180, 225–234. [Google Scholar] [CrossRef]
  63. Yang, Z.; Maofeng, J.; Amit, L.; Hezhong, W.; Shijun, J.; Daolong, D. Molecular mechanism of nanochitin whisker elicits plant resistance against Phytophthora and the receptors in plants. Int. J. Biol. Macromol. 2020, 165, 2660–2667. [Google Scholar] [CrossRef]
  64. Parada, R.Y.; Mayumi, E.; Aklog, Y.F.; Chihiro, M.; Shinsuke, I.; Hironori, K. Optimization of nanofibrillation degree of chitin for induction of plant disease resistance: Elicitor activity and systemic resistance induced by chitin nanofiber in cabbage and strawberry. Int. J. Biol. Macromol. 2018, 165, 2660–2667. [Google Scholar] [CrossRef]
  65. Huang, Y.; Adeleye, A.S.; Zhao, L.; Minakova, A.S.; Anumol, T.; Keller, A.A. Antioxidant response of cucumber (Cucumis sativus) exposed to nano copper pesticide: Quantitative determination via LC-MS/MS. Food Chem. 2019, 270, 47–52. [Google Scholar] [CrossRef] [PubMed]
  66. Yolanda, G.; Rubisela, L.E.; Marissa, P.; Gregorio, C.; Adalberto, B.; Jesús, V.; Fabián, P.; Antonio, J. Seed Priming with Carbon Nanomaterials Improves the Bioactive Compounds of Tomato Plants under Saline Stress. Plants 2022, 11, 1984. [Google Scholar] [CrossRef] [PubMed]
  67. Cota-Ungson, D.; González-García, Y.; Cadenas-Pliego, G.; Alpuche-Solís, Á.G.; Benavides-Mendoza, A.; Juárez-Maldonado, A. Graphene–Cu Nanocomposites Induce Tolerance against Fusarium oxysporum, Increase Antioxidant Activity, and Decrease Stress in Tomato Plants. Plants 2023, 12, 2270. [Google Scholar] [CrossRef]
  68. Noman, M.; Ahmed, T.; Ijaz, U.; Shahid, M.; Nazir, M.M.; Azizullah White, J.C.; Li, D.; Song, F. Bio-Functionalized Manganese Nanoparticles Suppress Fusarium Wilt in Watermelon (Citrullus lanatus L.) by Infection Disruption, Host Defense Response Potentiation, and Soil Microbial Community Modulation. Small 2022, 19, 2205687. [Google Scholar] [CrossRef]
  69. Shangguan, W.; Chen, H.; Zhao, P.; Cao, C.; Yu, M.; Huang, Q.; Cao, L. Scenario-oriented nanopesticides: Shaping nanopesticides for future agriculture. Adv. Agrochem 2024, 3, 265–278. [Google Scholar] [CrossRef]
  70. El-Batal, A.I.; El-Sayyad, G.S.; Al-shammari, B.M.; Abdelaziz, A.M.; Nofel, M.M.; Gobara, M.; Elkhatib, W.F.; Eid, N.A.; Salem, M.S.; Attia, M.S. Protective role of iron oxide nanocomposites on disease index, and biochemical resistance indicators against Fusarium oxysporum induced-cucumber wilt disease: In vitro, and in vivo studies. Microb. Pathog. 2023, 180, 106131. [Google Scholar] [CrossRef] [PubMed]
  71. Borgatta, J.; Ma, C.; Hudson-Smith, N.; Elmer, W.; Plaza Perez, C.D.; Roberto, T.R.; Zuverza-Mena, N.; Haynes, C.L.; White, J.C.; Hamers, R.J. Copper Based Nanomaterials Suppress Root Fungal Disease in Watermelon (Citrullus lanatus): Role of Particle Morphology, Composition and Dissolution Behavior. ACS Sustain. Chem. Eng. 2018, 6, 14847–14856. [Google Scholar] [CrossRef]
  72. Lijuan, Z.; Yuxiong, H.; Keller, A.A. Comparative Metabolic Response between Cucumber (Cucumis sativus) and Corn (Zea mays) to a Cu(OH)2 Nanopesticide. J. Agric. Food Chem. 2017, 66, 6628–6636. [Google Scholar] [CrossRef]
  73. Xuesong, C.; Yulin, L.; Xing, L.; Chuanxi, W.; Le, Y.; Wade, E.; Parkash, D.O.; White, J.C.; Zhenyu, W.; Baoshan, X. Mechanistic investigation of enhanced bacterial soft rot resistance in lettuce (Lactuca sativa L.) with elemental sulfur nanomaterials. Sci. Total Environ. 2023, 884, 163793. [Google Scholar] [CrossRef]
  74. Yanhui, L.; Jin, H.; Jie, Q.; Fameng, Z.; Jiahao, L.; Linlin, C.; Lu, C.; Jiangjiang, G.; Honghong, W.; Zhaohu, L. Improvement of leaf K+ retention is a shared mechanism behind CeO2 and Mn3O4 nanoparticles improved rapeseed salt tolerance. Stress Biol. 2022, 2, 46. [Google Scholar] [CrossRef]
  75. Saad, H.; Anila, S.; Muhammad, Z. Synergistic effect of glycine betain-ZnO nanocomposite in vitro for the amelioration of drought stress in coriander. Plant Cell Tiss. Organ Cult. 2023, 155, 505–519. [Google Scholar] [CrossRef]
  76. Hosseinzadeh, S.H.; Mehdi, R.S. Effect of naringenin based nanocomposites and pure naringenin on cumin (Cuminum cyminum L.) under drought stress. Physiol. Mol. Biol. Plants 2024, 30, 791–805. [Google Scholar] [CrossRef]
  77. Francisco, S.J.; Yolanda, G.; Adalberto, B.; Berenice, M.A.; Susana, G.; Gregorio, C.; Socorro, G.M.D.; Antonio, J. Silicon Nanoparticles Improve the Shelf Life and Antioxidant Status of Lilium. Plants 2021, 10, 2338. [Google Scholar] [CrossRef]
  78. Lv, J.; Christie, P.; Zhang, S. Uptake, translocation, and transformation of metal-based nanoparticles in plants: Recent advances and methodological challenges. Environ. Sci. Nano. 2019, 6, 41–59. [Google Scholar] [CrossRef]
  79. Xia, Y.; Zhao, Y.; Zhang, F.; Chen, B.; Hu, X.; Weir, M.D.; Schneider, A.; Jia, L.; Gu, N.; Xu, H.H.K. Iron Oxide Nanoparticles In Liquid or Powder Form Enhanced Osteogenesis Via Stem Cells on Injectable Calcium Phosphate Scaffold. News Sci. 2020, 2974, 102069. [Google Scholar] [CrossRef]
  80. Gupta, N.; Ram, H.; Kumar, B. Mechanism of Zinc absorption in plants: Uptake, transport, translocation and accumulation. Rev. Environ. Sci. Biotechnol. 2016, 15, 89–109. [Google Scholar] [CrossRef]
  81. Raliya, R.; Franke, C.; Franke, C.; Chavalmane, S.; Nair, R.; Reed, N.; Biswas, P. Quantitative understanding of nanoparticle uptake in watermelon plants. Front. Plant Sci. 2016, 7, 1288. [Google Scholar] [CrossRef] [PubMed]
  82. Cunningham, F.J.; Goh, N.S.; Demirer, G.S.; Matos, J.L.; Landry, M.P. Nanoparticle-Mediated Delivery towards Advancing Plant Genetic Engineering. Trends Biotechnol. 2018, 36, 882–897. [Google Scholar] [CrossRef]
  83. Ali, S.; Mehmood, A.; Khan, N. Uptake, Translocation, and Consequences of Nanomaterials on Plant Growth and Stress Adaptation. J. Nanomater. 2021, 2021, 6677616. [Google Scholar] [CrossRef]
  84. Xueran, W.; Hongguo, X.; Pei, W.; Heng, Y. Nanoparticles in Plants: Uptake, Transport and Physiological Activity in Leaf and Root. Materials 2023, 16, 3097. [Google Scholar] [CrossRef] [PubMed]
  85. Sembada, A.A.; Lenggoro, I.W. Transport of Nanoparticles into Plants and Their Detection Methods. Nanomaterials 2024, 14, 131. [Google Scholar] [CrossRef]
  86. Milewska-Hendel, A.; Zubko, M.; Stróż, D.; Kurczyńska, E.U. Effect of Nanoparticles Surface Charge on the Arabidopsis thaliana (L.) Roots Development and Their Movement into the Root Cells and Protoplasts. Int. J. Mol. Sci. 2019, 20, 1650. [Google Scholar] [CrossRef] [PubMed]
  87. Peralta-Videa, J.R.; Ren, M.; Varela-Ramirez, A.; Li, C.; Hernandez-Viezcas, J.A.; Aguilera, R.J.; Gardea-Torresdey, J.L. Transport of Zn in a sandy loam soil treated with ZnO NPs and uptake by corn plants: Electron microprobe and confocal microscopy studies. Chem. Eng. J. 2012, 184, 1–8. [Google Scholar] [CrossRef]
  88. Zhang, Z.; Kong, F.; Vardhanabhuti, B.; Mustapha, A.; Lin, M. Detection of Engineered Silver Nanoparticle Contamination in Pears. J. Agric. Food Chem. 2012, 60, 10762. [Google Scholar] [CrossRef]
  89. Du, W.; Sun, Y.; Ji, R.; Zhu, J.; Wu, J.; Guo, H. TiO2 and ZnO nanoparticles negatively affect wheat growth and soil enzyme activities in agricultural soil. J. Environ. Monit. 2011, 13, 822–828. [Google Scholar] [CrossRef]
  90. Yang, L.; Zhang, L.; Zhang, Q.; Wei, J.; Zhao, X.; Zheng, Z.; Chen, B.; Xu, Z. Nanopriming boost seed vigor: Deeper insights into the effect mechanism. Plant Physiol. Biochem. 2024, 214, 108895. [Google Scholar] [CrossRef] [PubMed]
  91. Huang, S.; Ashraf, U.; Duan, M.; Ren, Y.; Xing, P.; Yan, Z.; Tang, X. Ultrasonic seed treatment improved seed germination, growth, and yield of rice by modulating associated physio-biochemical mechanisms. Ultrason. Sonochem. 2024, 104, 106821. [Google Scholar] [CrossRef]
  92. Singh, Y.; Kaushal, S.; Sodhi, R.S. Biogenic synthesis of silver nanoparticles using cyanobacterium: Leptolyngbya sp. WUC 59 cell-free extract and their effects on bacterial growth and seed germination. Nanoscale Adv. 2020, 2, 3972–3982. [Google Scholar] [CrossRef]
  93. Kaur, R.; Yadu, B.; Chauhan, N.S.; Parihar, A.S.; Keshavkant, S. Nano zinc oxide mediated resuscitation of aged Cajanus cajan via modulating aquaporin, cell cycle regulatory genes and hormonal responses. Plant Cell Rep. 2024, 43, 110. [Google Scholar] [CrossRef] [PubMed]
  94. Singh, K.M.; Baksi, S.; Rani, S.; Jha, A.B.; Dubey, R.S.; Sharma, P. NanoBoost: Maximizing crop resilience and yield via nanopriming under salt stress. Environ. Exp. Bot. 2024, 226, 105937. [Google Scholar] [CrossRef]
  95. Chen, L.; Guo, Z.; Lao, B.; Li, C.; Zhu, J.; Yu, R.; Liu, M. Phytotoxicity of halloysite nanotubes using wheat as a model: Seed germination and growth. Environ. Sci. Nano 2021, 10, 3015–3027. [Google Scholar] [CrossRef]
  96. Joshi, A.; Kaur, S.; Dharamvir, K.; Nayyar, H.; Verma, G. Multi-walled carbon nanotubes applied through seed-priming influence early germination, root hair, growth and yield of bread wheat (Triticum aestivum L.). J. Sci. Food Agric. 2018, 98, 3148–3160. [Google Scholar] [CrossRef] [PubMed]
  97. Wuttipong, M.; Sarmah, A.K.; Santi, M.; Piyada, T. Nanopriming technology for enhancing germination and starch metabolism of aged rice seeds using phytosynthesized silver nanoparticles. Sci. Rep. 2017, 7, 8263. [Google Scholar] [CrossRef]
  98. Muyao, R.; Biao, T.; Jiayi, X.; Zhengpeng, Y.; Huabin, Z.; Qiyuan, T.; Xiaoli, Z.; Weiqin, W. Priming methods affected deterioration speed of primed rice seeds by regulating reactive oxygen species accumulation, seed respiration and starch degradation. Front. Plant Sci. 2023, 14, 1267103. [Google Scholar] [CrossRef]
  99. Shi, F.; Cao, Y.; Gao, Y.; Qiu, Y.; Lu, Y.; Han, B.; Shen, Y. The Impact of Magnetic Field and Gibberellin Treatment on the Release of Dormancy and Internal Nutrient Transformation in Tilia miqueliana Maxim. Seeds. For. 2024, 15, 311. [Google Scholar] [CrossRef]
  100. Xu, L.; Zhu, Z.; Sun, D.W. Bioinspired Nanomodification Strategies: Moving from Chemical-Based Agrosystems to Sustainable Agriculture. ACS Nano 2021, 15, 12655–12686. [Google Scholar] [CrossRef]
  101. Gong, D.; He, F.; Liu, J.; Zhang, C.; Wang, Y.; Tian, S.; Sun, C.; Zhang, X. Understanding of Hormonal Regulation in Rice Seed Germination. Life 2022, 12, 1021. [Google Scholar] [CrossRef] [PubMed]
  102. Abdel-Aziz, H.M.M.; Rizwan, M. Chemically synthesized silver nanoparticles induced physio-chemical and chloroplast ultrastructural changes in broad bean seedlings. Chemosphere 2019, 235, 1066–1072. [Google Scholar] [CrossRef] [PubMed]
  103. El-Badri, A.M.; Batool, M.; Wang, C.; Hashem, A.M.; Tabl, K.M.; Nishawy, E.; Kuai, J.; Zhou, G.; Wang, B. Selenium and zinc oxide nanoparticles modulate the molecular and morpho-physiological processes during seed germination of Brassica napus under salt stress. Ecotox. Environ. Saf. 2021, 225, 112695. [Google Scholar] [CrossRef]
  104. Nie, L.; Song, S.; Yin, Q.; Zhao, T.; Liu, H.; He, A.; Wang, W. Enhancement in Seed Priming-Induced Starch Degradation of Rice Seed Under Chilling Stress via GA-Mediated α-Amylase Expression. Rice 2022, 15, 19. [Google Scholar] [CrossRef]
  105. Salem, M.A.; Ismail, M.A.; Radwan, K.H.; Elhalim, H.M.A. Unlocking the Potential of Plant Growth-Promoting Rhizobacteria to Enhance Drought Tolerance in Egyptian Wheat (Triticum aestivum). Sustainability 2024, 16, 4605. [Google Scholar] [CrossRef]
  106. Imran, H.H.; Imran, Z.; Ul, A.Q.; Asifa, N.; Aamna, N.; Rida, J.; Arslan, S.S.; Ali, K.A.; Mominur, R.M.; Summya, R.; et al. Synthesis and characterization of copper oxide nanoparticles: Its influence on corn (Z. mays) and wheat (Triticum aestivum) plants by inoculation of Bacillus subtilis. Environ. Sci. Pollut. Res. 2022, 30, 37370–37385. [Google Scholar] [CrossRef]
  107. Jochum, M.D.; Mcwilliams, K.L.; Borrego, E.J.; Kolomiets, M.V.; Jo, Y.K. Bioprospecting Plant Growth-Promoting Rhizobacteria That Mitigate Drought Stress in Grasses. Front. Microbiol. 2019, 10, 2106. [Google Scholar] [CrossRef]
  108. Qin, H.; Wang, Z.; Sha, W.; Song, S.; Qin, F.; Zhang, W. Role of Plant-Growth-Promoting Rhizobacteria in Plant Machinery for Soil Heavy Metal Detoxification. Microorganisms 2024, 12, 700. [Google Scholar] [CrossRef]
  109. Su, C.; Chen, A.; Liang, W.; Xie, W.; Xu, X.; Zhan, X.; Zhang, W.; Peng, C. Copper-based nanomaterials: Opportunities for sustainable agriculture. Sci. Total Environ. 2024, 926, 171948. [Google Scholar] [CrossRef] [PubMed]
  110. Ahmad, A.; Hashmi, S.S.; Palma, J.M.; Corpas, F.J. Influence of metallic, metallic oxide, and organic nanoparticles on plant physiology. Chemosphere 2022, 290, 133329. [Google Scholar] [CrossRef]
  111. Swarnali, D.; Shreya, N.; Tauhid, A.A.; Ankita, B.; Falguni, B.; Saikat, M.; Geetha, G.; Arindam, B.; Amitava, M.; Rita, K.; et al. Application of green synthesized bimetallic nZVI-Cu nanoparticle as a sustainable alternative to chemical fertilizers to enhance growth and photosynthetic efficiency of rice seedlings. Plant Physiol. Biochem. 2023, 201, 107837. [Google Scholar] [CrossRef]
  112. Liu, A.; Xiao, W.; Lai, W.; Wang, J.; Li, X.; Yu, H.; Zha, Y. Potential Application of Selenium and Copper Nanoparticles in Improving Growth, Quality, and Physiological Characteristics of Strawberry under Drought Stress. Agriculture 2024, 14, 1172. [Google Scholar] [CrossRef]
  113. Faraz, A.; Faizan, M.; Hayat, S.; Alam, P. Foliar Application of Copper Oxide Nanoparticles Increases the Photosynthetic Efficiency and Antioxidant Activity in Brassica juncea. J. Food Qual. 2022, 2022, 5535100. [Google Scholar] [CrossRef]
  114. Waqas Mazhar, M.; Ishtiaq, M.; Hussain, I.; Parveen, A.; Hayat Bhatti, K.; Azeem, M.; Thind, S.; Ajaib, M.; Maqbool, M.; Sardar, T.; et al. Seed nano-priming with Zinc Oxide nanoparticles in rice mitigates drought and enhances agronomic profile. PLoS ONE 2022, 17, e0264967. [Google Scholar] [CrossRef]
  115. Wang, Z.; Li, H.; Li, X.; Xin, C.; Si, J.; Li, S.; Li, Y.; Zheng, X.; Li, H.; Wei, X.; et al. Nano-ZnO priming induces salt tolerance by promoting photosynthetic carbon assimilation in wheat. Arch. Agron. Soil. Sci. 2020, 66, 1259–1273. [Google Scholar] [CrossRef]
  116. Borah, K.D.; Bhuyan, J. Magnesium porphyrins with relevance to chlorophylls. Dalton Trans. 2017, 46, 6497–6509. [Google Scholar] [CrossRef]
  117. Kong, W.; Yu, X.; Chen, H.; Liu, L.; Xiao, Y.; Wang, Y.; Wang, C.; Lin, Y.; Yu, Y.; Wang, C.; et al. The catalytic subunit of magnesium-protoporphyrin IX monomethyl ester cyclase forms a chloroplast complex to regulate chlorophyll biosynthesis in rice. Plant Mol. Biol. 2016, 92, 177–191. [Google Scholar] [CrossRef]
  118. Chen, H.; Wang, Y.; Wang, W.; Cao, T.; Zhang, L.; Wang, Z.; Chi, X.; Shi, T.; Wang, H.; He, X.; et al. High-yield porphyrin production through metabolic engineering and biocatalysis. Nat. Biotechnol. 2024, 43, 1717–1727. [Google Scholar] [CrossRef]
  119. Wang, J.; Xie, H.; Han, J.; Li, J.; Lin, X.; Wang, X. Effect of graphene oxide-glyphosate nanocomposite on wheat and rape seedlings: Growth, photosynthesis performance, and oxidative stress response. Environ. Technol. Innov. 2022, 27, 102527. [Google Scholar] [CrossRef]
  120. Mir, S.A.; Dar, B.N.; Mir, M.M.; Sofi, S.A.; Shah, M.A.; Sidiq, T.; Sunooj, K.V.; Hamdani, A.M.; Khaneghah, A.M. Current strategies for the reduction of pesticide residues in food products. J. Food Compos. Anal. 2022, 106, 104274. [Google Scholar] [CrossRef]
  121. Alves, D.M.R.; de Oliveira, J.N.; de Mello Prado, R.; Ferreira, P.M. Silicon in the form of nanosilica mitigates P toxicity in scarlet eggplant. Sci. Rep. 2023, 13, 9190. [Google Scholar] [CrossRef] [PubMed]
  122. Kumar, D.; Singh, R.; Upadhyay, S.K.; Verma, K.K.; Tripathi, R.M.; Liu, H.; Dhankher, O.P.; Tripathi, R.D.; Sahi, S.V.; Seth, C.S. Review on interactions between nanomaterials and phytohormones: Novel perspectives and opportunities for mitigating environmental challenges. Plant Sci. 2023, 340, 111964. [Google Scholar] [CrossRef] [PubMed]
  123. Vankova, R.; Landa, P.; Podlipna, R.; Dobrev, P.I.; Prerostova, S.; Langhansova, L.; Gaudinova, A.; Motkova, K.; Knirsch, V.; Vanek, T. ZnO nanoparticle effects on hormonal pools in Arabidopsis thaliana. Sci. Total Environ. 2017, 593–594, 535–542. [Google Scholar] [CrossRef] [PubMed]
  124. Sarmast, M.K.; Salehi, H. Silver Nanoparticles: An Influential Element in Plant Nanobiotechnology. Mol. Biotechnol. 2016, 58, 441–449. [Google Scholar] [CrossRef]
  125. Ping, Y.; Cao, D.; Hu, J.; Lin, Y.; Dang, C.; Xue, D. The application, safety, and challenge of nanomaterials on plant growth and stress tolerance. Ind. Crops Prod. 2024, 222, 119691. [Google Scholar] [CrossRef]
  126. Cruz-Luna, A.R.; Vásquez-López, A.; Rojas-Chávez, H.; Valdés-Madrigal, M.A.; Cruz-Martínez, H.; Medina, D.I. Engineered Metal Oxide Nanoparticles as Fungicides for Plant Disease Control. Plants 2023, 12, 2461. [Google Scholar] [CrossRef]
  127. Ghareeb, R.Y.; Belal, E.B.; Khateeb, N.M.M.E.; Shreef, B.A. Utilizing bio-synthesis of nanomaterials as biological agents for controlling soil-borne diseases in pepper plants: Root-knot nematodes and root rot fungus. BMC Plant Biol. 2024, 24, 110. [Google Scholar] [CrossRef]
  128. Ramekar, S.; Dutt, M. Leveraging next-generation technologies to enhance systemic acquired resistance (SAR) in fruit trees. Plant Cell Tiss. Organ Cult. 2025, 160, 15. [Google Scholar] [CrossRef]
  129. Kamel, S.M.; Elgobashy, S.F.; Omara, R.I.; Derbalah, A.S.; Abdelfatah, M.; El-Shaer, A.; Al-Askar, A.A.; Abdelkhalek, A.; Abd-Elsalam, K.A.; Essa, T.; et al. Antifungal Activity of Copper Oxide Nanoparticles against Root Rot Disease in Cucumber. J. Fungi 2022, 8, 911. [Google Scholar] [CrossRef]
  130. Derbalah, A.; Abdelsalam, I.; Behiry, S.I.; Abdelkhalek, A.; Abdelfatah, M.; Ismail, S.; Elsharkawy, M.M. Copper oxide nanostructures as a potential method for control of zucchini yellow mosaic virus in squash. Pest Manag. Sci. 2022, 78, 3587–3595. [Google Scholar] [CrossRef]
  131. Feng, Y.; Chuanxi, W.; Chen, F.; Cao, X.; Wang, J.; Yue, L.; Zhenyu, W. Cerium oxide nanomaterials improve cucumber flowering, fruit yield and quality: The rhizosphere effect. Environ. Sci. Nano 2023, 10, 2010–2021. [Google Scholar] [CrossRef]
  132. Kannan, M.; Bojan, N.; Swaminathan, J.; Zicarelli, G.; Hemalatha, D.; Zhang, Y.; Ramesh, M.; Faggio, C. Nanopesticides in agricultural pest management and their environmental risks: A review. Int. J. Environ. Sci. Technol. 2023, 20, 10507–10532. [Google Scholar] [CrossRef]
  133. Aa, E.H.; Hm, E.B.; As, A.W.; Mak, E.S. The silica-nano particles treatment of squash foliage and survival and development of Spodoptera littoralis (Bosid.) larvae. Entomol. Zool. Stud. 2016, 175, 175–180. [Google Scholar]
  134. Ibrahiem, S.A.; Reda, F.M.; ElAzeem, E.M.A.; Hashem, M.S.; Ammar, H.A. Mycosynthesis of chitosan-selenium nanocomposite and its activity as an insecticide against the cotton leafworm Spodoptera littoralis. Sci. Rep. 2025, 15, 1012. [Google Scholar] [CrossRef]
  135. El-Latef, E.A.A.; Wahba, M.N.; Mousa, S.; El-Bassyouni, G.T.; El-Shamy, A.M. Cu-doped ZnO-nanoparticles as a novel eco-friendly insecticide for controlling Spodoptera littoralis. Biocatal. Agric. Biotechnol. 2023, 52, 102823. [Google Scholar] [CrossRef]
  136. Hayat, F.; Khanum, F.; Li, J.; Iqbal, S.; Khan, U.; Javed, H.U.; Razzaq, M.K.; Altaf, M.A.; Peng, Y.; Ma, X.; et al. Nanoparticles and their potential role in plant adaptation to abiotic stress in horticultural crops: A review. Sci. Hortic. 2023, 321, 112285. [Google Scholar] [CrossRef]
  137. Chang, Y.; Zhang, J.; Bao, G.; Yan, B.; Qu, Y.; Zhang, M.; Tang, W. Physiological Responses of Highland Barley Seedlings to NaCl, Drought, and Freeze-Thaw Stress. J. Plant Growth. Regul. 2020, 40, 154–161. [Google Scholar] [CrossRef]
  138. Du, B.; Haensch, R.; Alfarraj, S.; Rennenberg, H. Strategies of plants to overcome abiotic and biotic stresses. Biol. Rev. 2024, 99, 1524–1536. [Google Scholar] [CrossRef]
  139. Cai, L.; Cai, L.; Jia, H.; Liu, C.; Wang, D.; Sun, X. Foliar exposure of Fe3O4 nanoparticles on Nicotiana benthamiana: Evidence for nanoparticles uptake, plant growth promoter and defense response elicitor against plant virus. Chem. Chem. 2020, 393, 122415. [Google Scholar] [CrossRef]
  140. Fang, J.; Peng, Y.; Zheng, L.; He, C.; Peng, S.; Huang, Y.; Wang, L.; Liu, H.; Feng, G. Chitosan-Se Engineered Nanomaterial Mitigates Salt Stress in Plants by Scavenging Reactive Oxygen Species. J. Agric. Food Chem. 2023, 72, 176–188. [Google Scholar] [CrossRef]
  141. Ayyaz, A.; Batool, I.; Zhang, K.N.; Hannan, F.; Sun, Y.Q.; Qin, T.J.; Athar, H.U.R.; Zafar, Z.U.; Farooq, M.A.; Zhou, W.J. Unravelling mechanisms of CaO nanoparticle-induced drought tolerance in: An analysis of metabolite and nutrient profiling. Environ. Sci. Nano. 2024, 11, 2550–2567. [Google Scholar] [CrossRef]
  142. Khan, M.N.; Siddiqui, M.H.; Alhussaen, K.M.; El-Alosey, A.R.; Alomrani, M.A.M.; Kalaji, H.M. Titanium dioxide nanoparticles require K+ and hydrogen sulfide to regulate nitrogen and carbohydrate metabolism during adaptive response to drought and nickel stress in cucumber. Environ. Pollut. 2023, 334, 122008. [Google Scholar] [CrossRef]
  143. Khan, M.N.; Li, Y.; Khan, Z.; Chen, L.; Liu, J.; Hu, J.; Wu, H.; Li, Z. Nanoceria seed priming enhanced salt tolerance in rapeseed through modulating ROS homeostasis and α-amylase activities. J. Nanobiotechnol. 2021, 19, 276. [Google Scholar] [CrossRef] [PubMed]
  144. Mahmoud, A.W.M.; Samy, M.M.; Sany, H.; Eid, R.R.; Rashad, H.M.; Abdeldaym, E.A. Nanopotassium, Nanosilicon, and Biochar Applications Improve Potato Salt Tolerance by Modulating Photosynthesis, Water Status, and Biochemical Constituents. Sustainability 2022, 14, 723. [Google Scholar] [CrossRef]
  145. Yang, W.; Shi, C.; Hu, Q.; Wu, Y.; Fang, D.; Pei, F.; Mariga, A.M. Nanocomposite packaging regulate respiration and energy metabolism in Flammulina velutipes. Postharvest Biol. Technol. 2019, 151, 119–126. [Google Scholar] [CrossRef]
  146. Kusiak, M.; Oleszczuk, P.; Joko, I. Cross-examination of engineered nanomaterials in crop production: Application and related implications. J. Hazard. Mater. 2022, 424, 127374. [Google Scholar] [CrossRef]
  147. Bundschuh, M.; Filser, J.; Lüderwald, S.; Mckee, M.S.; Metreveli, G.; Schaumann, G.E.; Schulz, R.; Wagner, S. Nanoparticles in the environment: Where do we come from, where do we go to? Environ. Sci. Eur. 2018, 30, 6. [Google Scholar] [CrossRef]
  148. Hanif, M.N.; Aijaz, N.; Azam, K.; Akhtar, M.; Laftah, W.A.; Babur, M.; Abbood, N.K.; Benitez, I.B. Impact of microplastics on soil (physical and chemical) properties, soil biological properties/soil biota, and response of plants to it: A review. Int. J. Environ. Sci. Technol. 2024, 21, 10277–10318. [Google Scholar] [CrossRef]
  149. Rajput, V.; Minkina, T.; Sushkova, S.; Behal, A.; Maksimov, A.; Blicharska, E.; Ghazaryan, K.; Movsesyan, H.; Barsova, N. ZnO and CuO nanoparticles: A threat to soil organisms, plants, and human health. Environ. Geochem. Health. 2020, 42, 147–158. [Google Scholar] [CrossRef]
  150. Yan, A.; Chen, Z. Impacts of Silver Nanoparticles on Plants: A Focus on the Phytotoxicity and Underlying Mechanism. Int. J. Mol. Sci. 2019, 20, 1003. [Google Scholar] [CrossRef] [PubMed]
  151. Bengalli, R.D.; Zerbi, G.; Lucotti, A.; Catelani, T.; Mantecca, P. Carbon nanotubes: Structural defects as stressors inducing lung cell toxicity. Chem. Biol. Interact. 2023, 382, 110613. [Google Scholar] [CrossRef]
  152. Lett, Z.; Hall, A.; Skidmore, S.; Alves, N.J. Environmental microplastic and nanoplastic: Exposure routes and effects on coagulation and the cardiovascular system. Environ. Pollut. 2021, 291, 118190. [Google Scholar] [CrossRef] [PubMed]
  153. Lai, D.Y. Approach to using mechanism-based structure activity relationship (SAR) analysis to assess human health hazard potential of nanomaterials. Food Chem. Toxicol. 2015, 85, 120–126. [Google Scholar] [CrossRef]
  154. Drasler, B.; Sayre, P.; Steinh?user, K.G.; Petri-Fink, A.; Rothen-Rutishauser, B. In vitro approaches to assess the hazard of nanomaterials. Nanoimpact 2017, 8, 99–116. [Google Scholar] [CrossRef]
  155. Dusinska, M.; Tulinska, J.; Yamani, N.E.; Kuricova, M.; Liskova, A.; Rollerova, E.; Ruden-Pran, E.; Smolkova, B. Immunotoxicity, genotoxicity and epigenetic toxicity of nanomaterials: New strategies for toxicity testing? Food Chem. Toxicol. 2017, 109, 797–811. [Google Scholar] [CrossRef]
  156. Varsou, D.D.; Kolokathis, P.D.; Antoniou, M.; Sidiropoulos, N.K.; Tsoumanis, A.; Papadiamantis, A.G.; Melagraki, G.; Lynch, I.; Afantitis, A. In silico assessment of nanoparticle toxicity powered by the Enalos Cloud Platform: Integrating automated machine learning and synthetic data for enhanced nanosafety evaluation. Comput. Struct. Biotechnol. J. 2024, 25, 47–60. [Google Scholar] [CrossRef]
  157. Mancardi, G.; Mikolajczyk, A.; Annapoorani, V.K.; Bahl, A.; Blekos, K.; Burk, J.; Çetin, Y.A.; Chairetakis, K.; Dutta, S.; Escorihuela, L.; et al. A computational view on nanomaterial intrinsic and extrinsic features for nanosafety and sustainability. Mater. Today 2023, 67, 344–370. [Google Scholar] [CrossRef]
Figure 1. Applications and roles of NMs in agriculture. NMs are used through various application methods in agricultural practices, such as foliar spraying, seed priming, seed coating, root irrigation, and fertilizer incorporation to enhance crop yield and improve product quality.
Figure 1. Applications and roles of NMs in agriculture. NMs are used through various application methods in agricultural practices, such as foliar spraying, seed priming, seed coating, root irrigation, and fertilizer incorporation to enhance crop yield and improve product quality.
Nanomaterials 15 01659 g001
Figure 2. Interaction of NMs with vegetables. (a) Vegetable leaves absorb NMs via symplastic and apoplastic routes: NMs penetrate cuticle and palisade mesophyll into extracellular space, may enter through stomata (regulated by guard cells), and interact with spongy mesophyll and phloem. (b) Roots take up NMs through root hairs and epidermis into cortex, then to xylem and phloem for systemic movement, a key path for NMs to affect plant physiology. (c) NMs may enter cells through passive transport, active transport, and endocytosis. During this process, ROS can be generated. The generated ROS, along with the nanomaterials, jointly influence seed germination (via gibberellin GA, abscisic acid ABA, and α-amylase), seedling growth (via hormones and antioxidant enzymes), and stress resistance (via hormones, enzymes, and osmoprotectants such as proline, betaine, and sugars).
Figure 2. Interaction of NMs with vegetables. (a) Vegetable leaves absorb NMs via symplastic and apoplastic routes: NMs penetrate cuticle and palisade mesophyll into extracellular space, may enter through stomata (regulated by guard cells), and interact with spongy mesophyll and phloem. (b) Roots take up NMs through root hairs and epidermis into cortex, then to xylem and phloem for systemic movement, a key path for NMs to affect plant physiology. (c) NMs may enter cells through passive transport, active transport, and endocytosis. During this process, ROS can be generated. The generated ROS, along with the nanomaterials, jointly influence seed germination (via gibberellin GA, abscisic acid ABA, and α-amylase), seedling growth (via hormones and antioxidant enzymes), and stress resistance (via hormones, enzymes, and osmoprotectants such as proline, betaine, and sugars).
Nanomaterials 15 01659 g002
Table 1. Nanofertilizers applied in vegetable cultivation.
Table 1. Nanofertilizers applied in vegetable cultivation.
NanofertilizersConcentrationSize (nm)Vegetable SpeciesReferences
Se 0.5 mg/kg62.3 ± 14.6 nmChinese cabbage[20]
Se 10 mg/L61.9 ± 13.7 nmCherry radish[21]
Biochar-iron 500 mg/kgN/AChinese cabbage[31]
Mn3O410 mg/kg104.1 mmRadish[27]
Fe3O410 mg/LN/ACoriander[26]
CeO250 mg/kg7.0 nmCarrot[19]
Mn0.5Zn0.5Fe2O4100 mg/L, 200 mg/L14 nmSquash[32]
NaYF4:Yb,Er@CDs0.5 mg/mLN/AMung bean[33]
TiO2100 mg/L5 nmTomato[22]
TiO220–200 μg/mL80 ± 15 nmRed bean[23]
FeN/A2–6 nmMung bean[34]
ZnO-CaO500 ppmN/AMung bean[35]
Graphene1000 mg/L8–12 nmTomato[24]
Si100 mg/L, 1000 mg/L10–17 nm, 110–120 nmTomato[36]
Fe3O4-SiO2100 mg/LN/ASpinach[37]
ZnMo124–10 mg/L200 nmPepper[38]
CuO10 mg/L23.43 nmLettuce, Tomato[39]
MgO100 mg/L15–20 nmGreen gram[40]
SeN/A150 nmPotato[41]
ZnO800 mg/L 20–60 nmAllium cepa L.[42]
TiO210 μm12.8 nmFaba bean[43]
GO (Graphene oxide)1200 mg/L10–100,000 nmMung bean[44]
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

Lv, W.; Bai, Y.; Zhu, D.; He, C.; Bu, F.; Luo, Y.; Zhao, P.; Qiu, Y.; Wei, Z.; Zhang, J.; et al. Innovative Application of Nanomaterials in Vegetable Cultivation: Recent Advances in Growth Promotion and Stress Tolerance. Nanomaterials 2025, 15, 1659. https://doi.org/10.3390/nano15211659

AMA Style

Lv W, Bai Y, Zhu D, He C, Bu F, Luo Y, Zhao P, Qiu Y, Wei Z, Zhang J, et al. Innovative Application of Nanomaterials in Vegetable Cultivation: Recent Advances in Growth Promotion and Stress Tolerance. Nanomaterials. 2025; 15(21):1659. https://doi.org/10.3390/nano15211659

Chicago/Turabian Style

Lv, Wenxuan, Yixue Bai, Dongyang Zhu, Changzheng He, Fengjiao Bu, Yusong Luo, Ping Zhao, Yanhong Qiu, Zunzheng Wei, Jie Zhang, and et al. 2025. "Innovative Application of Nanomaterials in Vegetable Cultivation: Recent Advances in Growth Promotion and Stress Tolerance" Nanomaterials 15, no. 21: 1659. https://doi.org/10.3390/nano15211659

APA Style

Lv, W., Bai, Y., Zhu, D., He, C., Bu, F., Luo, Y., Zhao, P., Qiu, Y., Wei, Z., Zhang, J., Guo, S., Yu, Y., Wang, J., Ren, Y., Gong, G., Zhang, H., Xu, Y., Liu, G., Dai, S., & Li, M. (2025). Innovative Application of Nanomaterials in Vegetable Cultivation: Recent Advances in Growth Promotion and Stress Tolerance. Nanomaterials, 15(21), 1659. https://doi.org/10.3390/nano15211659

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