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JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE · 2022 ·Vol. 102 ·期 15 ·7405-7413 · IF 4.125

Real-time and in situ monitoring of organosilicon-induced thiram penetration into cabbage leaves by surface-enhanced Raman scattering mapping

Ting-tiao Pan,Meiting Guo,Ping Lu,Deyu Hu

BACKGROUND Understanding pesticide penetration behavior is important for effective application of pesticides. However, there is a lack of an effective method to monitor pesticide penetration behavior and its changing process. In the present study, a novel surface-enhanced Raman scattering (SERS) mapping method was used for real-time and in situ tracking of the penetration behaviors of thiram and thiram–organosilicon mixture on cabbage leaves. RESULTS The results suggest that thiram has very weak ability to penetrate into cabbage leaves. However, when the thiram–organosilicon mixture was placed on leaf surfaces, a clear thiram signal was detected inside the leaf after 2 h of exposure, a strong signal was observed after 12 h, and the penetration depth of thiram was approximately 200 μm after 48 h. CONCLUSION SERS mapping was demonstrated to be a reliable method for in situ monitoring of organosilicon-induced thiram penetration into cabbage leaf over time. The present study provides a new reference for rationally selecting adjuvants, effectively applying pesticides, and reducing pesticides residue in food. © 2022 Society of Chemical Industry.

研究领域: 农业科学 · 分析化学 · 植物生理学
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Advanced Science · 2024 ·Vol. 11 ·期 32 ·2405416 · IF 14.3

Surface-Enhanced Raman Scattering Imaging Assisted by Machine Learning Analysis: Unveiling Pesticide Molecule Permeation in Crop Tissues

Xiaotong Wang,Xiaomeng Sun,Zhehan Liu,Yue Zhao,Guangrun Wu,Yunpeng Wang,Qian Li,Chunjuan Yang,Tao Ban,Yu Liu,Jian-an Huang,Yang Li

Surface-enhanced Raman scattering (SERS) imaging technology faces significant technical bottlenecks in ensuring balanced spatial resolution, preventing image bias induced by substrate heterogeneity, accurate quantitative analysis, and substrate preparation that enhances Raman signal strength on a global scale. To systematically solve these problems, artificial intelligence techniques are applied to analyze the signals of pesticides based on 3D and dynamic SERS imaging. Utilizing perovskite/silver nanoparticles composites (CaTiO 3 /Ag@BONPs) as enhanced substrates, enabling it not only to cleanse pesticide residues from the surface to pulp of fruits and vegetables, but also to investigate the penetration dynamics of an array of pesticides (chlorpyrifos, thiabendazole, thiram, and acetamiprid). The findings challenge existing paradigms, unveiling a previously unnoticed weakening process during pesticide invasion and revealing the surprising permeability of non-systemic pesticides. Of particular note is easy to overlook that the combined application of pesticides can inadvertently intensify their invasive capacity due to pesticide interactions. The innovative study delves into the realm of pesticide penetration, propelling a paradigm shift in the understanding of food safety. Meanwhile, this strategy provides strong support for the cutting-edge application of SERS imaging technology and also brings valuable reference and enlightenment for researchers in related fields.

研究领域: 分析化学 · 食品安全 · 农业科学
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CHEMICAL ENGINEERING JOURNAL · 2024 · IF 13.3

Application of bio-based nanopesticides for pine surface retention and penetration, enabling effective control of pine wood nematodes

Hanchen Lin,Like Ning,Tingting Dai,Wei Wei,Ning Ma,Mei Hong,Fei Wang,Chaoqun You

The Pine wood nematode disease is a significant biological threat to forestry management and ecological restoration worldwide, with chemical control remaining the primary approach. However, the cryptic nature of pine wood nematodes (PWN) limits the effectiveness of conventional pesticides. This study explores the development of a cellulose network carrier-based nanopesticide (Se@CSM/PDA@AZO-CNF) loaded with selenium nanoparticles, offering dual responsiveness to light and temperature. This innovative design enables the precise release of pesticides under natural conditions, supporting a controlled response. Incorporating selenium nanoparticles into the cellulose-based nanopesticide improved pesticide permeability and deposition in pine trees. The contact angle of pesticides on pine needles decreased by 23°, their resistance to washing increased by 39 %, and cumulative release was significantly enhanced under UV light and low temperatures. Fluorescence tracer experiments demonstrated efficient uptake of Se@CSM/PDA@AZO-CNF nanopesticide by PWN. The hydrogel displayed an LC 50 value of 29.1 mg/L against PWN. These findings highlight the potential of this nanopesticide to improve pesticide delivery and efficacy in controlling pine wood nematode disease.

CAS / MDL: 3326-32-7 143-27-1
研究领域: 林业管理 · 线虫学 · 材料科学 · 环境科学
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