BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
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2021
·Vol. 108
·期 2
·267-275
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IF 2.151
Pan Lixiang,Feng Xiaoxiao,Jing Jing,Zhang Jingcheng,Zhuang Ming,Zhang Yun,Wang Kai,Zhang Hongyan
The mixed application of pesticides and foliar fertilizer has been widely used in the production of cucumber, however, their effects on plant growth and pesticide dissipation are still unclear. In this study, the effects of mixed application of pymetrozine, tebuconazole and foliar fertilizer on the cucumber plant growth and pesticide dissipation were investigated simultaneously. The results show that the mixed use of pymetrozine, tebuconazole, especially adding foliar fertilizer, improved the physiological indexes (i.e., area, nitrogen content and chlorophyll content of the leaves, and root growth) of cucumber plants compared to those with the application of single pesticide. Meanwhile, it can significantly affect the dissipation of pymetrozine even in the slower growth matrices (lower leaves, stems, and plants). The residue of tebuconazole in cucumber plants was affected by the combination of formulation type and foliar fertilizer. This study can provide data for scientifically guiding the mixed application of pesticide and fertilizer.
研究领域:
农业科学
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植物保护
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PubMed
高影响因子
FOOD CHEMISTRY
·
2023
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IF 8.8
Huanhuan Li,Xiaofeng Luo,Suleiman A. Haruna,Muhammad Zareef,Quansheng Chen,Zhen Ding,Yiyong Yan
Pesticide residue detection in food has become increasingly important. Herein, surface-enhanced Raman scattering (SERS) coupled with an intelligent algorithm was developed for the rapid and sensitive detection of pesticide residues in tea. By employing octahedral Cu 2 O templates, Au-Ag octahedral hollow cages (Au-Ag OHCs) were developed, which improved the surface plasma effect via rough edges and hollow inner structure, amplifying the Raman signals of pesticide molecules. Afterward, convolutional neural network (CNN), partial least squares (PLS), and extreme learning machine (ELM) algorithms were applied for the quantitative prediction of thiram and pymetrozine. CNN algorithms performed optimally for thiram and pymetrozine, with correlation values of 0.995 and 0.977 and detection limits (LOD) of 0.286 and 29 ppb, respectively. Accordingly, no significant difference ( P greater than 0.05) was observed between the developed approach and HPLC in detecting tea samples. Hence, the proposed Au-Ag OHCs-based SERS technique could be utilized for quantifying thiram and pymetrozine in tea.
研究领域:
分析化学
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食品科学
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机器学习
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DOI
PubMed
高影响因子
ENVIRONMENTAL MICROBIOLOGY
·
2021
·Vol. 23
·期 6
·3265-3273
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IF 5.491
Mingliang Zhang,Yijun Ren,Shilong Du,Yidong Zhou,Wankui Jiang,Zhijian Ke,Mingli Jiang,Jiguo Qiu,Jian He,Qing Hong
Summary Pymetrozine is a synthetic pesticide that can be utilized as the sole carbon source by Pseudomonas sp. strain BYT-1. However, the genes involved in the degradation of pymetrozine remain unknown. We used transposon mutagenesis to create a mutant that unable to hydrolyze pymetrozine. The transposon interrupted the gene pyzH , which was cloned by self-formed adaptor PCR. PyzH hydrolyzed the C=N double bond of pymetrozine to produce 4-amino-6-methyl-4,5-dihydro-2 H -[1,2,4]triazin-3-one (AMDT) and nicotinaldehyde; the latter inhibits PyzH activity. PyzH can completely hydrolyze pymetrozine in the presence of dehydrogenase ORF6, which can convert nicotinaldehyde into nicotinic acid and relieve the inhibition. H 2 18 O-labeling experiments showed that the oxygen atom of nicotinaldehyde came from water instead of oxygen. PyzH homologous genes were also found in other soil isolates able to degrade pymetrozine.
研究领域:
微生物学
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环境科学
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生物化学
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分子生物学
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PubMed
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
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2025
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IF 4.6
Run Tian,Ting-feng Shi,Ting-tiao Pan,Ping Lu
Surface-enhanced Raman spectroscopy (SERS) for simultaneous detection of multiple pesticides in food samples remains a challenge due to the competitive absorption of multiple analytes on SERS substrate. Herein, a combined method of DFT calculation and SERS experiment was utilized to explore the competitive adsorption of thiabendazole and pymetrozine on silver surface. Subsequently, a SERS method was developed for simultaneous detection of thiabendazole and pymetrozine residues in apples. The simulated parameters of pesticide molecules adsorbed on silver cluster showed that competitive adsorption occurred between thiabendazole and pymetrozine on silver surface, which was further validated by the SERS intensities of single and mixed pesticide solutions. The SERS method was successfully established, featuring a satisfactory linearity range of 1.0–30 and 0.5–15 mg/L with the LOD of 0.9 and 0.4 mg/L for thiabendazole and pymetrozine in apple sample, respectively, and the average recovery was 80.02–120.73 %. The findings not only provide a valuable reference for the investigation of competitive adsorption but also offer a reliable method for the simultaneous detection of multiple pesticide residues in food samples.
研究领域:
分析化学
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光谱学
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环境科学
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食品安全
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纳米技术
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DOI
高影响因子
MICROCHEMICAL JOURNAL
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2025
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IF 5.1
Bin Yang,Jia Liu,Xin Liu,Shiyue Niu,Liqian Niu,Xian Wang,Xinxin Liu,Shuyun Bi
Acetamiprid and pymetrozine are effective pyridine insecticides used to kill aphids and whiteflies in agricultural products such as fruits, vegetables and rice, whose residues pose a serious threat to human health. Herein, the silver nanoparticles (AgNPs) modified by β -cyclodextrin ( β -CD) and nano-CuO (named as β -CD/CuO@AgNPs) were synthesized and it was used as surface-enhanced Raman spectroscopy (SERS) substrate to determine acetamiprid and pymetrozine. Among four SERS substrates such as AgNPs, β -CD/AgNPs, CuO@AgNPs and β -CD/CuO@AgNPs, β -CD/CuO@AgNPs exhibited the most substantial enhancement of the Raman signals for acetamiprid and pymetrozine, with the enhancement factors (EFs) of 2.16 × 10 6 and 3.86 × 10 6 , respectively. The XRD, TGA, TEM, HAADF-STEM, UV–vis and FT-IR were used to characterize β -CD/CuO@AgNPs and the combination of the substrate with acetamiprid/pymetrozine. Single factor experiment and response surface method were used to optimize pH, dosage of coagulant and nanosubstrate and mixing time. The influences of various interfering substances on the detection system were studied. The excellent linear relationships were respectively established for acetamiprid and pymetrozine in the range of 6.67 × 10 −9 –6.67 × 10 −7 and 1.00 × 10 −8 –1.00 × 10 −6 mol L −1 , with the limits of detection (LODs) were 0.36 and 0.94 nmol L −1 (S/N = 3). This project was successfully used for the detection of acetamiprid and pymetrozine in apple, pear and peach samples. The recoveries in the fruit samples were in the range of 95.5 %–105.0 %.
研究领域:
农业科学
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分析化学
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食品安全
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DOI
高影响因子
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
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2025
·
IF 6.2
Tingfeng Shi,Tingtiao Pan,Ping Lu
Current calibration models based on surface-enhanced Raman spectroscopy (SERS) spectra data for pesticide residue detection in foods demonstrate excellent species-specific performance, yet their cross-species applicability remains challenging. This study aimed to build a universal model suitable for in situ detection of pymetrozine residues on two different vegetable species. SERS spectra of cabbage and Chinese cabbage leaves contaminated with pymetrozine were collected, and species-specific and universal models were constructed based on the spectral data using the partial least-squares regression algorithm. The results suggested that species-specific models demonstrated strong predictive performance for estimating the pymetrozine residue concentrations on a specific vegetable but limited accuracy when applied to another vegetable species. However, the universal model exhibited excellent performance for both vegetable species, with an correlation coefficient of prediction set (Rp2) and root-mean-square error of prediction (RMSEP) values of 0.9637 and 0.6225 mg/L for cabbage and 0.9621 and 0.6362 mg/L for Chinese cabbage, respectively. The findings of the study indicate that the universal model is suitable for in situ detection of pymetrozine residue concentrations on two different vegetable species.
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PubMed
高影响因子
PEST MANAGEMENT SCIENCE
·
2021
·Vol. 78
·期 2
·812-820
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IF 4.845
Fengjiao Hao,Xiaohui Liu,Huizhu Yuan,Xiaojing Yan,Daibin Yang
BACKGROUND Seedling transplanting is widely used in rice cultivation. Systemic insecticides can be delivered to seedling roots by application through rice seedling boxes before transplanting. The most challenging aspect is to provide long-term control of rice pests and overcome transplanting shock. Precise control of the release rate of insecticide can meet these requirements. Pymetrozine is a promising insecticide used for the control of rice planthoppers resistant to neonicotinoid insecticides. RESULTS In this study, four controlled-release granular formulations of pymetrozine were prepared based on a mixture of cost-effective and biodegradable kaolin and xanthan gum or a mixture of calcined kaolin and xanthan gum. Fluorescence images showed that different 3D networks were formed in the four granular formulations. The four granular formulations showed different water uptake rates and release rates of pymetrozine in water. Pymetrozine release rate was positively correlated with the water uptake capacity, rather than the water uptake rate of granules. Diffusion was the dominant mechanism for the release of pymetrozine from granules. Pymetrozine was found to reduce the survival of transplanted rice seedlings suffering from transplanting shock. Incorporating pymetrozine in controlled-release granules alleviated this phytotoxicity. The survival rate of rice seedlings in granular pymetrozine treatments ranged 68.8–85.0%, whereas the survival rate was <50% for powdered pymetrozine treatments. Additionally, four prepared granule formulations had a significant control effect on rice planthopper with efficacies ranging from 76.7% to 98.0% 40 days after seedling box treatment. CONCLUSIONS The granule with an intermediate release rate of pymetrozine was shown to be more suitable for seedling box treatment than field application and traditional liquid spraying for the long-term control of paddy planthoppers. © 2021 Society of Chemical Industry.
研究领域:
农业科学
·
植物保护
✓ 已验证
产品关联
DOI
PubMed
高影响因子