查找使用阿拉丁产品的科研文献

Construction of multiple modes using gold nanoparticles as probes for the rapid detection of fenpyroximate

Yumei Yan,Zhili Liu,Wenfeng Zhou,Haixiang Gao,Runhua Lu

Herein, three patterns for the detection of fenpyroximate based on the response signal of gold nanoparticles are described. The strong interaction between the guanidine group of arginine-modified gold nanoparticles and the ester group of fenpyroximate led to the aggregation of the nanoparticles and to a variation of ultraviolet-visible light spectrum and color of the solution. Sensors were constructed based on the correlation of the concentration of fenpyroximate with the absorbance ratio (A650/A525) and the R value was obtained by extracting the color of the test solution by using a smartphone to take a photo of the solution, which was then analyzed by colorimeter software. The absorbance ratio increased linearly in the range of 0.225–0.375 mg L−1 and the limit of detection was 0.215 mg L−1, while the R value declined linearly in the range of 0.20–0.40 mg L−1 and the limit of detection was 0.21 mg L−1. Further, the gold nanoparticles could cause a fluorescence quenching of fluorescent dyes, such as rhodamine B, and it was found that the fluorescence could be quenched and then restored after aggregation; therefore, a fluorescence method based on fluorescence “off–on” was constructed, and the fluorescence quenching was found to increase linearly in the range of 0.0–1.0 mg L−1 and the limit of detection was 0.013 mg L−1. These three patterns indicated highly selective and sensitive response signals for fenpyroximate, and all were applied to the detection of fenpyroximate in apple juice, pear juice, and environmental water samples, with the results showing that the three methods could be mutually verified, with the recoveries ranging from 94.15% to 110.65%.

Efficient determination of pesticides in rice by QuEChERS and UV spectroscopy in combination with chemometrics

Yuhang Wan,Xinyu Yuan,Jia Liu,Ding Zhang,Zhengyong Zhang,Min Sha

Background and Objectives Targeting the problems, like various residual pesticides, the high interference of sample matrix and the slow detection speed, this work studied the rapid screening method of multipesticide residues in rice by taking bensulfuron-methyl, propanil and cypermethrin as examples. Findings Rice matrix solution was obtained by using the improved QuEChERS method, matrix standard solution, and solvent standard solution were prepared to obtain the linear range and matrix effect of each pesticide. QuEChERS method could rapidly pretreat samples, and the matrix effect was soft, with matrix effect values lower than 16%. Mixed solutions of the three pesticides in four combinations were prepared within the linear range. The type of pesticides in rice was determined by support vector machine (SVM), and the pesticide concentration was predicted by partial least square regression (PLSR). SVM provided a supervised identification method for pesticide residues, making the recognition accuracy higher than 90%. The error of PLSR in predicting pesticide concentration was lower than 5.36%. Conclusions UV spectroscopy had fast test speed, so the combination of QuEChERS and UV spectroscopy could improve the efficiency of analysis. SVM combined with PLSR could preliminarily determine the type of pesticides in rice sample, and then accurately predict the concentration of pesticides. Significance and Novelty The QuEChERS sample pretreatment technology and UV spectroscopy in combination with chemometrics was expected to be a new technology for rapid detection of pesticide residues in samples.

A new sample treatment strategy based on supramolecular solvent for determination of herbicide residues in water samples by Box-Behnken design

Ruiyu Fu,Tingze Ren,Yanhui Zhang,Xiaoli Guo,Xin Di

This paper describes a sensitive, simple and green analytical method for pretreatment of sulfonylurea and pyrethroid herbicides in water samples by supramolecular solvent-based liquid phase microextraction (SUPRAS-LPME). The SUPRAS was rapidly formed by nonanoic acid and tetrahydrofuran (THF)/water solution. The attractive features of SUPRAS-LPME include the simplicity, high enrichment factor, low cost and less consumption of organic solvents. The main influencing factors including type and volume of fatty acids, volume of THF , ionic strength, vortex time and volume of formic acid were optimized in detail, and then the significant variables were optimized by Box-Behnken design (BBD). Under the optimized condition, the proposed method shows high precision (RSDs  <  13.7 %), low limits of detection (0.5–10 μg L -1 ) and limits of quantitation (10–45 μg L -1 ), acceptable recovery (71.3 %-95.9 %). The proposed method was successfully applied for analysis of sulfonylurea and pyrethroid herbicides in water samples, making it an alternative analytical strategy for determination of trace analytes at the microgram per liter range with desirable sensitivity.

An alternative analytical strategy based on QuEChERS and dissolvable layered double hydroxide dispersive micro-solid phase extraction for trace determination of sulfonylurea herbicides in wolfberry by LC–MS/MS

Xiaoli Guo,Tingze Ren,Jianchun Ji,Yan Yang,Xin Di

In this work, a combination of QuEChERS and dispersive micro-solid phase extraction (D-μ-SPE) based on dissolvable layered double hydroxide (LDH) has been established for preconcentration and enrichment of sulfonylurea herbicides (SUHs) in wolfberry samples. The QuEChERS was used for extraction and purification of SUHs, followed by D-μ-SPE for further enrichment of targeted analytes to obtain superior extraction performance. Dissolvable LDH nanosheets were used as absorbents, thus eliminating the elution step needed in traditional D-μ-SPE. The main influence experimental variables including pH of sample solution, amount of LDH, vortex time and volume of acidic solution were optimized in detail. Under the optimized conditions, the proposed method shows high precision (RSDs  < 12 .7%), low limits of detection (0.01–0.5 ng/g) and limits of quantitation (0.1–2.0 ng/g), acceptable recovery (80.1%–97.1%), thus making it a good alternative analytical strategy for the determination of SUHs residues at the low nanogram per gram range with desirable sensitivity.

Ionic liquid-based dispersive liquid–liquid microextraction followed by dispersive solid phase extraction coupled with HPLC-DAD for the determination of sulfonylurea herbicides in soymilk samples

Jilong Li,Weili Xu,Xiujuan Wang,Fengze Wu,Lin Wang,Ji Feng,Zhibing Wang,Hanqi Zhang

Nicosulfuron Biodegradation by a Novel Cold-Adapted Strain Oceanisphaera psychrotolerans LAM-WHM-ZC

Shan Zhou,Jinlong Song,Weiwei Dong,Yingchun Mu,Qi Zhang,Ziwen Fan,Yanwei Wang,Delong Kong,Yiqing Zhou,Xu Jiang,Bin Zhao,Gang Han,Zhiyong Ruan

Nicosulfuron is a common environmental pollutant, posing a great threat to aquatic systems and causing significant damage to crops. This study reported a cold-adapted strain Oceanisphaera psychrotolerans LAM-WHM-ZC, which efficiently degrades nicosulfuron over a wide range of temperatures (5 to 40 °C). The Box–Behnken design method was used to optimize the degradation conditions. O. psychrotolerans LAM-WHM-ZC can degrade 92.4% and 74.6% of initially supplemented 100 mg/L nicosulfuron under the optimum and low temperature of 18.1 and 5 °C, respectively, within 7 days. O. psychrotolerans LAM-WHM-ZC was found to be highly efficient in degrading cinosulfuron, chlorsulfuron, rimsulfuron, bensulfuron methyl, and ethametsulfuron methyl. Metabolites from nicosulfuron degradation were identified by UPLC-MS, and a possible degradation pathway was proposed. Furthermore, O. psychrotolerans LAM-WHM-ZC can also degrade nicosulfuron in soil; 78.6% and 67.4% of the initial nicosulfuron supplemented at 50 mg/kg were removed at 18.1 and 5 °C, respectively, within 15 days.

MgO anchored N-doping biochar enhances the bensulfuron-methyl biodegradation by Acinetobacter YH0317: Higher reactive oxygen species level and bacterial viability

Yang Yang,Zhichao Kang,Guanghui Xu,Jian Wang,Yong Yu

Bensulfuron-methyl (BSM) is a typical broad-spectrum sulfonylurea herbicide and the runoff of BSM residues from agricultural regions poses a significant threat to the ecosystem. Here we develop a bacteria-material hybrid system constructed by Acinetobacter YH0317 and Mg(NO 3 ) 2 modified biochar (MBC) for efficiently degrading BSM under various conditions including pH and temperature. Results showed that BSM biodegradation efficiency by YH0317&MBC (96.7 %) was significantly higher than YH0317&BC (79.5 %) and YH0317 (43.9 %) at 15 °C after 7 d of incubation. The addition of MBC significantly increased the reactive oxygen species (ROS) level, which was significantly higher than group YH0317. Moreover, the bacterial viability, extracellular polymeric substances (EPS) production, and membrane permeability of YH0317 were also enhanced with the addition of MBC. The electron paramagnetic resonance (EPR) and quenching experiments revealed that singlet oxygen ( 1 O 2 ) was the dominant active substance produced by MBC. The YH0317&MBC could effectively remove the BSM, and reduce the oxidative stress to soybean, which was beneficial to the growth of soybean through hydroponic experiment. This study establishes a microorganism-material system that efficiently removes BSM in aquatic environments and emphasizes the importance of ROS in pollution removal by the hybrid system.

Taxonomic structure and functional assembly of the broad-spectrum sulfonylurea herbicide-degrading microbial consortium L1 under different herbicide substrates

Xiang Li,Yumeng Dai,Xinyu Guan,Zhiyang Han,Xu Li,Xiujuan Wang,Zhencheng Su,Huiwen Zhang,Mingkai Xu

The overuse of sulfonylurea herbicides (SUHs) in agricultural environments has resulted in severe residues that damage ecosystems and harm human health. In this study, we described a microbial consortium L1, capable of broad-spectrum degradation of SUHs, which degraded 200   mg   L -1 of bensulfuron-methyl, chlorimuron-ethyl, metsulfuron-methyl, tribenuron-methyl and thifensulfuron-methyl by 81.27%, 97.59%, 62.34%, 72.06% and 100%, respectively, within 7 days. The 16S rDNA and metagenome sequencing results showed that the dominant genera in consortium L1 under different SUHs were concentrated in Methyloversatilis , Pseudoxanthomonas and Chitinophaga . However, the diversity and structure of consortium L1 varied significantly under different SUHs, reflecting differences in both abundant and rare taxa, which could also interconvert. KEGG annotations showed that consortium L1 had the same functional composition when degrading different SUHs, but the number of gene annotations was significantly different, with benzoate degradation (ko00362) being the most enriched of all treatments. Furthermore, the results showed that functional redundancy existed in degradation high contribution genera, with abundant taxa having a greater impact on the degradation of different SUHs. Additionally, network analysis revealed that both rare and abundant genera had more positive edges, suggesting that the strains engaged in more mutualistic or symbiotic cooperation during the degradation process. More importantly, rare taxa play an important role in connectivity between modules. Overall, the assembly of abundant and rare taxa communities and functional composition were closely related to broad-spectrum consortium degrading. These findings deepen the understanding of bacterial consortia and provide valuable insights to enhance their potential in environmental remediation.

Colloidal gold-based lateral flow immunoassay for detecting cyclosulfamuron residues in cereal samples

Lu Zeng,Huan Lv,Xiangrui Li,Wenjia Yang,Wencan Luo,Linghong Kong,Qiujin Zhu

Cyclosulfamuron (CS) is a widely used sulfonylurea herbicide in plant cultivation and food production, and poses significant threats to ecological balance and food safety. To address this concern, we designed a novel CS hapten using computer-simulated semi-antigens. A monoclonal antibody (mAb) exhibiting high specificity and affinity was generated, with an affinity constant of 1.049×10 9 L/mol and a semi-inhibitory concentration (IC 50 ) of 4.94 ng/mL. Leveraging this anti-CS mAb, we constructed a rapid, visually detectable, quantitative lateral flow immunoassay (LFIA) to detect CS in cereals. Under the optimal conditions, the cut-off values were determined to be 100 μg/kg for brown rice and corn samples and 50 μg/kg for rice samples. The corresponding limits of detection values (LODs) were found to be 1.93 μg/kg in brown rice, 2.18 μg/kg in corn and 1.93 μg/kg in rice, respectively. The recovery rates ranged from 96.2% to 104.8% with coefficients of variation ranging from 3.5% to 6.4%, showing good agreement with the results obtained by liquid chromatography–tandem mass spectrometry (LC–MS/MS). The proposed assay demonstrated robust analytical performance, with significant application potential for rapid, on-site detection.

Spatiotemporal distribution and potential ecological risks of current-use pesticides (CUPs) in Laizhou Bay, China

Yufei Dai,Xianli Song,Jing Zhao,Limin Wang,Xiaoru Cui,Li Lu,Jingyu Zhang,Haoyu Zhang,Dahai Zhang,Keqiang Li

Pesticides occur widely in coastal waters and potentially pose a risk to marine ecosystems and human health. The spatiotemporal distribution of current-use pesticides (CUPs) was studied in Laizhou Bay (LZB) and the Xiaoqing River watershed in China during the summer of 2022 and spring of 2023. The pesticide composite index ( PCI ) and persistence index ( PI ) were established in association with the risk quotient ( RQ ) to assess the ecological risk in LZB. In this study, 17 and 12 kinds of CUP were detected in rivers and LZB seawater, respectively, with atrazine and neonicotinoid insecticides (NEOs) being the most frequently detected CUPs at higher concentrations. The average concentration of CUPs decreased from rivers to the coast and towards the center of the LZB, with higher levels in spring and lower levels in summer in rivers and a reversed pattern in seawater. The high-risk areas lie in the LZB coastal area and the estuary. Atrazine, chlorpyrifos, and imidacloprid might pose a high risk to aquatic organisms based on the RQ in the LZB, whereas the priority concern pesticides are atrazine and triazophos based on the PCI and PI . This study is of great significance for assessing the composite ecological risk of CUPs in aquatic environments.