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13 pages, 9146 KB  
Article
Liquid–Liquid Interfacial Self-Assembly of Au-Ag Nanoparticles for High-Performance SERS Detection of Thiram in Environmental Water Samples
by Jiali Liu, Jiafan Liu, Lianxiu Yu, Yeqi Fang, Li Jiang, Zheng Ma and Jie Hu
Photonics 2026, 13(5), 507; https://doi.org/10.3390/photonics13050507 - 21 May 2026
Viewed by 469
Abstract
Gold and silver nanoparticles have attracted extensive attention in SERS detection due to their excellent plasmonic properties. In this study, a high-performance SERS substrate was successfully prepared by a liquid–liquid self-assembly strategy. Driven by the Marangoni effect, Au-Ag nanoparticles spontaneously form a uniform [...] Read more.
Gold and silver nanoparticles have attracted extensive attention in SERS detection due to their excellent plasmonic properties. In this study, a high-performance SERS substrate was successfully prepared by a liquid–liquid self-assembly strategy. Driven by the Marangoni effect, Au-Ag nanoparticles spontaneously form a uniform and dense monolayer structure on the silicon wafer, constructing an efficient plasmon “hotspot” region, which significantly improves the detection sensitivity of the substrate. The performance of the SERS substrate was systematically evaluated using CV and Me B as Raman probe molecules. The results show that the substrate exhibits an excellent enhancement effect and good SERS sensitivity for both probe molecules. The characteristic vibration peak can be clearly identified, and the detection limit (LOD) of crystal violet is 6.76 × 10−11 M. The substrate was applied to detect thiram residues in lake water with a LOD of 1.084 × 10−7 M, achieving highly sensitive detection. This study shows that Au-Ag nanoparticles deposited on silicon wafers by liquid–liquid self-assembly strategy can be used as a high-performance SERS substrate. It can be used for rapid and sensitive detection of thiram pesticide residues in water, and provides an efficient and feasible analysis tool for water environment safety monitoring. Full article
(This article belongs to the Special Issue Novel Developments in Optoelectronic Materials and Devices)
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14 pages, 2502 KB  
Article
Preparation and Application of Hydrophobic Plasmonic Filter Paper for Detecting Pesticides in Edible Oil by Raman Spectroscopy
by Jie Gao, Weiwei Zhang, Hangming Qi, Xu Tao, Qian Yu, Xianming Kong and Kundan Sivashanmugan
Chemosensors 2026, 14(5), 106; https://doi.org/10.3390/chemosensors14050106 - 1 May 2026
Viewed by 720
Abstract
A flexible paper-based surface-enhanced Raman scattering substrate with a hydrophobic surface was fabricated through a simple route. The Ag nanoparticle was modified on filter paper through the in situ growth method. The hydrophobic filter paper/Ag substrate was prepared via soaking in 10−8 [...] Read more.
A flexible paper-based surface-enhanced Raman scattering substrate with a hydrophobic surface was fabricated through a simple route. The Ag nanoparticle was modified on filter paper through the in situ growth method. The hydrophobic filter paper/Ag substrate was prepared via soaking in 10−8 g/mL of 1-dodecanethiol with a 12 h growth time. The hydrophobic filter paper/Ag substrate exhibits excellent flexibility and hydrophobic properties with a contact angle of 130.2°. The diffusion of the aqueous solution was significantly suppressed on the hydrophobic filter paper/Ag substrate. The hydrophobic filter paper/Ag substrate could simultaneously improve the SERS signal and fluorescence of the analyte, and that was successfully used for detecting thiram from edible oil with a limit of detection at 1.8 × 10−8 M and monitoring melamine in aqueous solution. The hydrophobic filter paper/Ag substrate is a flexible, economical, and convenient method for detecting harmful ingredients from oil by SERS. Full article
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18 pages, 2827 KB  
Article
SERS Mixture Recognition from Pure-Substance Spectra via Component Evidence Learning and Two-Stage Inference
by Li Fan, Daoyu Lin, Liang Shen, Junjun Guo, Ting Lian and Yazhou Qin
Molecules 2026, 31(9), 1412; https://doi.org/10.3390/molecules31091412 - 24 Apr 2026
Viewed by 484
Abstract
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for molecular analysis, yet the recognition of mixed spectra remains challenging because severe peak overlap makes mixture-specific data expensive to acquire and difficult to cover exhaustively. Current machine-learning approaches often rely on labeled mixture datasets, [...] Read more.
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for molecular analysis, yet the recognition of mixed spectra remains challenging because severe peak overlap makes mixture-specific data expensive to acquire and difficult to cover exhaustively. Current machine-learning approaches often rely on labeled mixture datasets, synthetic mixed spectra, or prior component-matching schemes, making their performance strongly dependent on task-specific mixture data. A pure-spectrum-trained framework for SERS mixture recognition is presented here based on component evidence learning and two-stage inference. Using paraquat, thiram, and tricyclazole as representative target compounds, the framework learns reusable constituent-level evidence directly from pure-substance spectra and converts it into mixture-category predictions within a unified recognition model. This design avoids mixture-specific parameter training while enabling direct recognition of binary and ternary mixtures. Experiments on SERS spectral datasets yielded a mixture recognition accuracy of 98.58%. The results show that pure-substance spectral learning can support accurate recognition of complex SERS mixtures and provide a scalable strategy for mixture analysis when labeled mixture data are limited. Full article
(This article belongs to the Special Issue Advanced Vibrational Spectroscopy)
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13 pages, 2039 KB  
Article
Application of Carboxymethylcellulose @ Au NPs Hydrogel Beads for Detection of Thiram in Three Fruit Juices via Surface-Enhanced Raman Scattering
by Yiming Ou, Yuxin Zhang, Youzhi Wu, Yishan Song and Keqiang Lai
Foods 2026, 15(4), 733; https://doi.org/10.3390/foods15040733 - 16 Feb 2026
Cited by 1 | Viewed by 650
Abstract
A simple and highly sensitive surface-enhanced Raman spectroscopy (SERS) method has been developed for the detection of thiram residues in fruit juices. Carboxymethyl cellulose (CMC) @ gold nanoparticles (Au NPs) hydrogel beads as SERS substrates were prepared through ionic crosslinking. The obtained porous [...] Read more.
A simple and highly sensitive surface-enhanced Raman spectroscopy (SERS) method has been developed for the detection of thiram residues in fruit juices. Carboxymethyl cellulose (CMC) @ gold nanoparticles (Au NPs) hydrogel beads as SERS substrates were prepared through ionic crosslinking. The obtained porous CMC @ Au NPs hydrogel bead substrates showed excellent sensitivity for the detection of thiram in apple, grape, and orange juices, with detection limits of 0.001, 0.002, and 0.002 mg/L, respectively. The impact of primary non-target components in juices on SERS detection of thiram was investigated, revealing that the presence of sugars and acids caused varying degrees of interference in SERS measurements. This innovative, practical, and affordable CMC @ Au NPs porous hydrogel bead for thiram detection might be readily expanded to analyze a broad spectrum of other compounds found in food goods at trace amounts. Full article
(This article belongs to the Section Food Analytical Methods)
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33 pages, 1074 KB  
Review
Advances in the Analytical Determination and Toxicological Assessment of Dithiocarbamates and Their Hydrolysis Products in Fruits, Vegetables, and Cereals: Methodological Evolution, Challenges, and Future Directions
by Tommaso Pacini, Serenella Orsini, Emanuela Verdini, Elisa Cristofani, Alessandro Pelliccia, Stefano Sdogati, Claudio Colosio and Ivan Pecorelli
Toxics 2025, 13(10), 819; https://doi.org/10.3390/toxics13100819 - 26 Sep 2025
Cited by 8 | Viewed by 2857
Abstract
Despite the widespread use of dithiocarbamate fungicides such as maneb, mancozeb, metiram, propineb, thiram, and ziram detected, according to EU legislation, via common degradation product carbon disulfide (CS2), recent and comprehensive reviews on analytical methods for their determination in plant-based foods [...] Read more.
Despite the widespread use of dithiocarbamate fungicides such as maneb, mancozeb, metiram, propineb, thiram, and ziram detected, according to EU legislation, via common degradation product carbon disulfide (CS2), recent and comprehensive reviews on analytical methods for their determination in plant-based foods are lacking. Given the well-documented toxicity shown by the experimental model for these pesticides, including neurotoxicity and endocrine disruption, harmonized and reliable analytical protocols are crucial for food safety monitoring and regulatory compliance. Dithiocarbamates, beyond CS2 release, have been associated with immunotoxicity, thyroid dysfunction, and potential carcinogenicity, raising further concern regarding chronic dietary exposure. Their metabolites may disrupt enzymatic activity and oxidative balance, enhancing systemic toxicity. Early methods, had limited sensitivity, poor reproducibility, and relied on hazardous solvents, reducing practical value. Although later advancements improved detection limits, modern procedures, including those proposed by the European Union Reference Laboratory (EURL), still show limitations. The EURL-recommended protocol involves acid hydrolysis using concentrated HCl, extraction with isooctane, heating to 85 °C, and rapid ice-bath cooling, which poses environmental concerns. Recovery efficiency remains inconsistent in some cases, and reproducibility within commodity groups is poor. This review discusses the status of methods for determining dithiocarbamates as individual compounds and via CS2 moiety. Full article
(This article belongs to the Special Issue Pesticide Risk Assessment, Emerging and Re-Emerging Problems)
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14 pages, 631 KB  
Article
A Comparative Study of the Effect of Commonly Used Pesticides on Cervical Contractions in Pregnant Cows, In Vitro
by Michal Hubert Wrobel
Toxics 2025, 13(9), 793; https://doi.org/10.3390/toxics13090793 - 17 Sep 2025
Cited by 1 | Viewed by 1177
Abstract
Organochlorine insecticides (DDTs), organophosphate insecticides (malathion), carbamate insecticides (carbaryl and thiram), pyrethroid (cypermethrin and fenvalarate) insecticides, and herbicides (glyphosate and atrazine) were selected for this study because they disrupt cervical and myometrial function in the bovine oestrous cycle. However, their potential to affect [...] Read more.
Organochlorine insecticides (DDTs), organophosphate insecticides (malathion), carbamate insecticides (carbaryl and thiram), pyrethroid (cypermethrin and fenvalarate) insecticides, and herbicides (glyphosate and atrazine) were selected for this study because they disrupt cervical and myometrial function in the bovine oestrous cycle. However, their potential to affect reproductive success in cattle during pregnancy has not been directly confirmed. The aim of this study was to determine the effects of the investigated pesticides on cervical contractions in pregnant cows. Cervical strips from cows at 4–6 months of gestation were treated with the eight singular pesticides (used at non-toxic, environmental dose) or oestradiol (E2) under two different conditions (37.5 °C for 24 h and 4 °C for 48 h), which were applied to assess pesticide effects under both physiological and prolonged-exposure settings. The strength of the contractions was then measured. The findings of the study demonstrated that both the carbamates and glyphosate increased the force of cervical strip contractions to a greater extent than cypermethrin. In contrast, fenvalerate was observed to induce a state of cervical relaxation, analogous to the effects of E2, while DDT, malathion and atrazine exerted no effect on cervical motor function during the period of pregnancy under investigation. These preliminary findings indicate a potential impact of pesticides on cervical function during pregnancy, but should be interpreted with caution as they are based on isolated tissue at a single concentration. Further in vivo and dose–response studies are needed to confirm their biological and clinical relevance. Full article
(This article belongs to the Special Issue Endocrine-Disrupting Chemicals and Reproductive Toxicology)
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11 pages, 1110 KB  
Article
Endophyte Viability in Grass Seeds: Storage Conditions Affecting Survival and Control Methods
by Barbara Wiewióra and Grzegorz Żurek
Agronomy 2025, 15(8), 1977; https://doi.org/10.3390/agronomy15081977 - 15 Aug 2025
Cited by 1 | Viewed by 1589
Abstract
Research has evaluated the efficacy of various methods for eliminating endophytes from grass seeds, as well as changes in endophyte viability during seed storage under different conditions, indicating significant variation in different procedures and cultivars. Chemical seed treatment (tebuconazole and thiram) completely eliminated [...] Read more.
Research has evaluated the efficacy of various methods for eliminating endophytes from grass seeds, as well as changes in endophyte viability during seed storage under different conditions, indicating significant variation in different procedures and cultivars. Chemical seed treatment (tebuconazole and thiram) completely eliminated viable fungal mycelia, leaving no trace in any tested cultivar. Non-chemical methods, such as drying and microwave treatment, only partially reduced mycelial viability by 30.3% and 33.1%, respectively, with no statistically significant difference between them. A significant positive correlation was observed between the initial mycelial viability and its reduction. Lolium perenne cv. Vigor showed no impact from non-chemical methods, while Festuca rubra cv. Anielka exhibited the greatest reduction (79% after microwave treatment). Seed storage also impacted endophyte survival. Storage at +7 °C, +23 °C, and −20 °C reduced viability by 27.4%, 31.7%, and 37.3%, respectively. Positive correlations existed between initial viability and post-storage reductions. Similarly to elimination methods, cv. Vigor showed resistance to storage conditions. However, −20 °C storage proved least favorable for endophyte survival, particularly for Festuca pratensis cv. Artema, cv. Anielka, and Festuca ovina cv. Jolka. To maintain the viability of beneficial endophytes during seed storage, we must carefully control storage conditions, especially ambient temperature. Full article
(This article belongs to the Special Issue Plant–Microbiota Interactions Under Abiotic Stress)
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17 pages, 1473 KB  
Article
Phosphite Compounds Suppress Anthracnose in Soybean Seeds Infected by Colletotrichum truncatum and Stimulate Growth and Defense Mechanisms
by Manoel Batista da Silva Júnior, Mário Lúcio Vilela de Resende, Edson Ampélio Pozza, Alexandre Ribeiro Maia de Resende, Gustavo César Dias Silveira, Jayne Deboni da Veiga, Júlia Marques Oliveira and André Costa da Silva
Plants 2025, 14(10), 1494; https://doi.org/10.3390/plants14101494 - 16 May 2025
Cited by 1 | Viewed by 1971
Abstract
Soybean is one of the main agricultural commodities, and its productivity is limited by several diseases, such as anthracnose, which is caused by a complex of fungal species, with Colletotrichum truncatum being the most prevalent. Management is mainly carried out through chemical seed [...] Read more.
Soybean is one of the main agricultural commodities, and its productivity is limited by several diseases, such as anthracnose, which is caused by a complex of fungal species, with Colletotrichum truncatum being the most prevalent. Management is mainly carried out through chemical seed treatment. However, a reduction in the sensitivity of C. truncatum to fungicides was observed. Therefore, it is extremely important to search for products that are effective in controlling the disease. The objectives of this study were to evaluate the efficacy of commercial formulations of copper, potassium, manganese, and zinc phosphites in the treatment of soybean seeds infected by C. truncatum, as well as their direct fungitoxicity and ability to induce soybean defense mechanisms. For this purpose, seeds inoculated with C. truncatum were subjected to phosphites and a fungicide (carbendazim + thiram). The seeds were exposed to germination, health, and vigor tests. Fungal toxicity and the ability of phosphites to induce defense through the activities of catalase, peroxidase, and superoxide dismutase enzymes, as well as the levels of lignin and total soluble phenols, were also evaluated. Mn and Zn phosphites showed direct toxicity to C. truncatum and were as effective as the fungicide (carbendazim + thiram) in treating soybean seeds infected by the fungus. Mn phosphite induced the production of catalase (CAT), peroxidase (POX) and lignin, while Zn phosphite increased the production of CAT and POX. These results demonstrate the efficacy of Mn and Zn phosphites in controlling C. truncatum in infected soybean seeds, their direct toxic action, and their ability to induce resistance. Full article
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19 pages, 5758 KB  
Article
Detection of Pesticide Residues Using Three-Dimensional SERS Substrate Based on CNTs/Ag/AgNWs/SiO2
by Jianjun Ding, Niansong Liu, Ganglin Wang, Naiyu Guo and Chao Sun
Sensors 2025, 25(7), 2316; https://doi.org/10.3390/s25072316 - 5 Apr 2025
Cited by 1 | Viewed by 1819
Abstract
In response to the shortcomings of traditional surface-enhanced Raman spectroscopy (SERS) substrates, such as short shelf life, poor uniformity, and low selectivity, this study innovatively proposed a three-dimensional composite substrate of CNTs/Ag/AgNWs/SiO2. This substrate demonstrates excellent SERS enhancement effects, with a [...] Read more.
In response to the shortcomings of traditional surface-enhanced Raman spectroscopy (SERS) substrates, such as short shelf life, poor uniformity, and low selectivity, this study innovatively proposed a three-dimensional composite substrate of CNTs/Ag/AgNWs/SiO2. This substrate demonstrates excellent SERS enhancement effects, with a detection limit of 10−12 mol/L for the probe molecule Rhodamine 6G (R6G) and an enhancement factor (EF) of 8.947 × 108. Further experiments confirmed the substrate’s superior uniformity and stability. The enhancement mechanism was investigated using both experimental methods and the Finite Difference Time Domain (FDTD) approach. When commonly used pesticide thiram was used as the target analyte, the detection limit of the substrate reached 0.1 mg/L, which is significantly lower than the pesticide residue standards of China and the European Union. Additionally, the genetic algorithm (GA)-optimized Back Propagation (BP) neural network was introduced for the quantitative analysis of thiram concentrations. The experimental results indicated that the GA-BP algorithm achieved the training prediction accuracy of 92.5% for thiram, demonstrating good network performance. This method shows good selectivity and has broad application prospects in the detection of toxic chemicals, environmental pollutants, and food additives. Full article
(This article belongs to the Special Issue Advances in Nanomaterial-Based Electrochemical and Optical Biosensors)
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15 pages, 1774 KB  
Article
Management of Root Rot (Rhizoctonia solani Kühn) of Common Bean Using Host Resistance and Consortia of Chemicals and Biocontrol Agents
by Pratikshya Parajuli, Ritesh Kumar Yadav, Hira Kaji Manandhar and Megha N. Parajulee
Biology 2025, 14(3), 235; https://doi.org/10.3390/biology14030235 - 25 Feb 2025
Cited by 6 | Viewed by 6307
Abstract
Rhizoctonia root rot and web blight caused by Rhizoctonia solani Kühn is one of the destructive diseases of the common bean (Phaseolus vulgaris L.). A two-year study was conducted (2019–2021) to evaluate the common bean landraces and genotype, biocontrol agents, and chemical [...] Read more.
Rhizoctonia root rot and web blight caused by Rhizoctonia solani Kühn is one of the destructive diseases of the common bean (Phaseolus vulgaris L.). A two-year study was conducted (2019–2021) to evaluate the common bean landraces and genotype, biocontrol agents, and chemical fungicides against the pathogen. Nine landraces from high-altitude agriculture in the Jumla district in western Nepal (29.27443900, 82.19332200; 2540 m msl) and one genotype of commercial common bean from the sub-tropical Chitwan district in central Nepal (27.65186564, 84.34869288; 256 m masl) were evaluated for resistance against the pathogen under screenhouse and field conditions. All were found highly susceptible to the pathogen and the highest lesion length (3.02 cm) was measured in the Rato Male Simi followed by Rato Sano Chhirke Simi (2.40 cm) in Chitwan conditions. Three chemical fungicides—SAAF™ (carbendazim 12% + mancozeb 63% WP), Vitavax® (carboxin 37.5% + thiram 37.5% DS), and Nativo® (tebuconazole 50% + trifloxystrobin 25% w/w (75 WG)—and three biocontrol agents—Trichoderma viride (109 cfu/mL), Pseudomonas fluorescens (109 cfu/mL), and Bacillus subtilis (108 cfu/mL)—were evaluated as seed and soil treatments in fourteen different combinations against R. solani. SAAF™ and Vitavax® were found highly effective as they completely suppressed the incidence of pre-emergence damping off. SAAF™ was equally effective followed by Vitavax® and Nativo® in suppressing post-emergence damping off. On the other hand, the highest disease incidence (26.63%) was recorded in treatment where seed treatment with Pseudomonas fluorescens formulation at the rate of 10 g per kg of FYM slurry along with soil application with Pseudomonas fluorescens formulation at the rate of 10 kg per ha with 50 kg FYM was applied, whereas the lowest disease incidence (4.96%) occurred in SAAF™ for both seed and soil applications. Highest grain yield (4125 kg/ha) was recorded on Nativo® where seed treatment at the rate of 1.5 g per kg along with soil drenching at the rate of 1.5 g per liter was used. Thus, it can be concluded that the best control for pre-emergence damping off was achieved by SAAF™ where seed treatment at the rate of 2 g per kg along with soil drenching at the rate of 2 g per liter and Vitavax® as seed treatment at the rate of 2 g per kg along with soil drenching at the rate of 2 g per liter was used, while the best control of post-emergence damping off was achieved with combined seed treatment and soil treatment with SAAF™. There was no incidence of web blight throughout the growing period. Our findings could be useful in devising strategies for the integrated management of R. solani causing root rot disease in common beans. Full article
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14 pages, 3702 KB  
Article
Sustainable and Flexible Surface-Enhanced Raman Scattering Transducer: Gold Nanoparticle-Bacterial Cellulose Composite for Pesticide Monitoring in Agrifood Systems
by Daniela Lospinoso, Adriano Colombelli, Sudipto Pal, Pasquale Cretì, Maria Concetta Martucci, Gabriele Giancane, Antonio Licciulli, Roberto Rella and Maria Grazia Manera
Biosensors 2025, 15(2), 69; https://doi.org/10.3390/bios15020069 - 23 Jan 2025
Cited by 10 | Viewed by 3126
Abstract
Functionalized plasmonic nanostructure platforms are widely used for developing optical biosensors and SERS assays. In this work, we present a low-cost and scalable surface-enhanced Raman scattering (SERS) system based on an innovative optical transducer comprising gold nanoparticles (AuNPs) embedded in nano-fibrillated bacterial cellulose [...] Read more.
Functionalized plasmonic nanostructure platforms are widely used for developing optical biosensors and SERS assays. In this work, we present a low-cost and scalable surface-enhanced Raman scattering (SERS) system based on an innovative optical transducer comprising gold nanoparticles (AuNPs) embedded in nano-fibrillated bacterial cellulose (BC). The AuNPs@BC composite leverages the unique nanofibrillar architecture of bacterial cellulose, which provides a high surface area, flexibility, and uniform nanoparticle distribution, enabling the formation of numerous electromagnetic “hot spots”. This structure excites localized surface plasmon resonance (LSPR), as demonstrated by a bulk sensitivity of 72 nm/RIU, and supports enhanced Raman signal amplification. The eco-friendly and disposable AuNPs@BC platform was tested for agrifood applications, focusing on the detection of thiram pesticide. The system achieved a detection limit of 0.24 ppm (1 µM), meeting the sensitivity requirements for regulatory compliance in food safety. A strong linear correlation (R2 ≈ 0.99) was observed between the SERS peak intensity at 1370 cm−1 and thiram concentrations, underscoring its potential for quantitative analysis. The combination of high sensitivity, reproducibility, and environmental sustainability makes the AuNPs@BC platform a promising solution for developing cost-effective, flexible, and portable sensors for pesticide monitoring and other biosensing applications. Full article
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12 pages, 2575 KB  
Communication
Thiram Determination in Milk Samples by Surface Plasmon Resonance Based on Molecularly Imprinted Polymers and Sulphur-Doped Titanium Dioxide
by Sezen Harmankaya, Hacı Ahmet Deveci, Ahmet Harmankaya, Fatma Hazan Gül, Necip Atar and Mehmet Lütfi Yola
Biosensors 2024, 14(7), 329; https://doi.org/10.3390/bios14070329 - 3 Jul 2024
Cited by 25 | Viewed by 3375
Abstract
In this work, a new surface plasmon resonance (SPR) sensor based on sulphur-doped titanium dioxide (S-TiO2) nanostructures and molecularly imprinted polymer (MIP) was presented for thiram (THI) determination in milk samples. Firstly, the S-TiO2 nanomaterial with a high product yield [...] Read more.
In this work, a new surface plasmon resonance (SPR) sensor based on sulphur-doped titanium dioxide (S-TiO2) nanostructures and molecularly imprinted polymer (MIP) was presented for thiram (THI) determination in milk samples. Firstly, the S-TiO2 nanomaterial with a high product yield was prepared by using a facile sol-gel hydrolysis technique with a high product yield. After that, UV polymerization was carried out for the preparation of the THI-imprinted SPR chip based on S-TiO2 using a mixture including ethylene glycol dimethacrylate (EGDMA) as the cross-linker, N,N′-azobisisobutyronitrile (AIBN) as the initiator, and methacryloylamidoglutamicacid (MAGA) as the monomer. The reliability of the sensor preparation procedure has been successfully proven by characterization studies of the prepared nanomaterials and SPR chip surfaces through spectroscopic, microscopic, and electrochemical methods. As a result, the prepared SPR sensor showed linearity in the range of 1.0 × 10−9–1.0 × 10−7 M with a detection limit (LOD) of 3.3 × 10−10 M in the real samples, and a sensor technique for THI determination with high sensitivity, repeatability, and selectivity can be included in the literature. Full article
(This article belongs to the Special Issue Advances in Plasmonic Biosensing Technology)
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10 pages, 3361 KB  
Article
Simple Synthesis of Cellulose-Based Nanocomposites as SERS Substrates for In Situ Detection of Thiram
by Boya Shi, Lian Kan, Yuliang Zhao, Shangzhong Jin and Li Jiang
Nanomaterials 2024, 14(11), 987; https://doi.org/10.3390/nano14110987 - 6 Jun 2024
Cited by 8 | Viewed by 2047
Abstract
There is a growing interest in the use of flexible substrates for label-free and in situ Surface-enhanced Raman Spectroscopy (SERS) applications. In this study, a flexible SERS substrate was prepared using self-assembled Au/Ti3C2 nanocomposites deposited on a cellulose (CS) paper. [...] Read more.
There is a growing interest in the use of flexible substrates for label-free and in situ Surface-enhanced Raman Spectroscopy (SERS) applications. In this study, a flexible SERS substrate was prepared using self-assembled Au/Ti3C2 nanocomposites deposited on a cellulose (CS) paper. The Au/Ti3C2 nanocomposites uniformly wrapped around the cellulose fibers to provide a three-dimensional plasma SERS platform. The limit of detection (LOD) of CS/Au/Ti3C2 was as low as 10−9 M for 4-mercaptobenzoic acid(4-MBA) and crystal violet (CV), demonstrating good SERS sensitivity. CS/Au/Ti3C2 was used for in situ SERS detection of thiram on apple surfaces by simple swabbing, and a limit of detection of 0.05 ppm of thiram was achieved. The results showed that CS/Au/Ti3C2 is a flexible SERS substrate that can be used for the detection of thiram on apple surfaces. These results demonstrate that CS/Au/Ti3C2 can be used for the non-destructive, rapid and sensitive detection of pesticides on fruit surfaces. Full article
(This article belongs to the Special Issue Nanostructured Optoelectronic Devices and Their Applications)
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12 pages, 6694 KB  
Article
Surface-Enhanced Raman Scattering for Probe Detection via Gold Nanorods and AuNRs@SiO2 Composites
by Huiqin Li, Yanyu Tian, Shaotian Yan, Lijun Ren, Rong Ma, Weiwei Zhao, Hongge Zhang and Shumei Dou
Coatings 2024, 14(5), 530; https://doi.org/10.3390/coatings14050530 - 24 Apr 2024
Cited by 4 | Viewed by 2487
Abstract
In this paper, a self-assembly method was used to prepare gold nanorod composites, and a seed-growth method was used to adjust the amount of AgNO3 solution, enabling the preparation of gold nanorods with different aspect ratios. AuNRs@SiO2 nanocomposite particles were then [...] Read more.
In this paper, a self-assembly method was used to prepare gold nanorod composites, and a seed-growth method was used to adjust the amount of AgNO3 solution, enabling the preparation of gold nanorods with different aspect ratios. AuNRs@SiO2 nanocomposite particles were then prepared by using the Stöber method to coat the gold nanorod surface with silica. Transmission electron microscopy showed that the maximum aspect ratio of the gold nanorods was 4.53, which was achieved using 2 mL of 10 mM AgNO3 solution. The Raman-scattering intensity of the gold nanorods was studied using rhodamine 6G, thiram, melamine, and piroxicam, and detection limits of 10−8 M, 10−5 M, and 10−3 M were, respectively, achieved. As a substrate, these gold nanorods showed good repeatability and reproducibility, and trace detection was successfully achieved. A transmission electron microscopy analysis shows that the SiO2 shell became thicker with increasing tetraethyl orthosilicate addition. Using AuNRs@SiO2 as the base and R6G, thiram, and piroxicam as the probes, measurable detection limits of 10−9 M, 10−6 M, and 10−5 M were achieved, and this composite also showed excellent repeatability and reproducibility. Full article
(This article belongs to the Section High-Energy Beam Surface Engineering and Coatings)
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15 pages, 2903 KB  
Article
Detection and Identification of Pesticides in Fruits Coupling to an Au–Au Nanorod Array SERS Substrate and RF-1D-CNN Model Analysis
by Pengxing Sha, Chushu Zhu, Tianran Wang, Peitao Dong and Xuezhong Wu
Nanomaterials 2024, 14(8), 717; https://doi.org/10.3390/nano14080717 - 19 Apr 2024
Cited by 12 | Viewed by 2534
Abstract
In this research, a method was developed for fabricating Au–Au nanorod array substrates through the deposition of large-area Au nanostructures on an Au nanorod array using a galvanic cell reaction. The incorporation of a granular structure enhanced both the number and intensity of [...] Read more.
In this research, a method was developed for fabricating Au–Au nanorod array substrates through the deposition of large-area Au nanostructures on an Au nanorod array using a galvanic cell reaction. The incorporation of a granular structure enhanced both the number and intensity of surface-enhanced Raman scattering (SERS) hot spots on the substrate, thereby elevating the SERS performance beyond that of substrates composed solely of an Au nanorod. Calculations using the finite difference time domain method confirmed the generation of a strong electromagnetic field around the nanoparticles. Motivated by the electromotive force, Au ions in the chloroauric acid solution were reduced to form nanostructures on the nanorod array. The size and distribution density of these granular nanostructures could be modulated by varying the reaction time and the concentration of chloroauric acid. The resulting Au–Au nanorod array substrate exhibited an active, uniform, and reproducible SERS effect. With 1,2-bis(4-pyridyl)ethylene as the probe molecule, the detection sensitivity of the Au–Au nanorod array substrate was enhanced to 10−11 M, improving by five orders of magnitude over the substrate consisting only of an Au nanorod array. For a practical application, this substrate was utilized for the detection of pesticides, including thiram, thiabendazole, carbendazim, and phosmet, within the concentration range of 10−4 to 5 × 10−7 M. An analytical model combining a random forest and a one-dimensional convolutional neural network, referring to the important variable-one-dimensional convolutional neural network model, was developed for the precise identification of thiram. This approach demonstrated significant potential for biochemical sensing and rapid on-site identification. Full article
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