Simultaneous determination of dimethoate and its metabolite omethoate in curry leaf using LC-MS/MS and risk assessment

This study presents the method development, validation, and simultaneous determination of dimethoate and its metabolite omethoate in curry leaf. Samples were extracted following modified quick, easy, cheap, effective, rugged, and safe extraction protocol and analyzed using liquid chromatography-tandem mass spectrometry. The limit of quantification in the matrix was 0.005 μg g⁻¹ for dimethoate and omethoate. Extraction using acetonitrile recorded the average recoveries in the range of 82.25 to 112.97% for dimethoate and 85.57 to 107.22% for omethoate at 0.005, 0.025 and 0.050 μg g⁻¹ fortification levels and relative standard deviation less than 5%. Similarly, the relative standard deviation values for intraday (Repeatability) and interday (Reproducibility) tests were less than 15%. Dissipation kinetics of dimethoate 30% emulsifiable concentrate at 200 and 400 g a.i h⁻¹ recorded initial deposits of 5.20 and 10.05 μg g⁻¹ and 0.33 and 0.48 μg g⁻¹ for dimethoate and omethoate, respectively, and half-life of 3.07 and 3.34 days. The estimated hazard index value found more than one at a day after dimethoate application. It is not safe for consumer health to use curry leaves in the initial days after application.     

Rapid Determination of Dimethoate with a Surface Acoustic Wave Impedance Sensor System

Abstract

Based on the principle of enzyme inhibition, a novel and sensitive lipase biosensor to determine organophosphorus pesticide is presented. Contact of the enzyme with pesticide samples results in specific inhibition of enzyme activity. Sensor calibration was possible by correlating the inhibition of enzyme activity with various concentrations of pesticide compound in a buffer solution. The sensor was successfully used to determine pesticide concentrations ranging from a low of 167ng/ml to 1.34μg/ml, and the detection limit is 81ng/ml. The effects of temperature, pH value, incubation time and solvent were also investigated. The sensor was also applied to the determination of dimethoate residues in the peel and flesh of tomato.     

毛细管气相色谱法测定杭白菊中乐果的残留量

采用乙腈作为提取剂 ,选用DB - 170 1型毛细管色谱柱 (30m× 0 .32mmi.d .,0 .2 5 μm)和火焰光度检测器 ,以毛细管气相色谱法测定杭白菊中乐果的残留量。线性范围为 0～ 12 .0 μg/mL ,线性回归方程为A =4 4 7.0c - 13.4 4 ,相关系数r =0 .999 88,检出限为 2 .6 8× 10 -2 μg/mL ,测定结果的相对标准偏差为 1.3%～ 3.1% ,回收率为 96 .3%～ 10 3.9%。     

银修饰的氨基改性粉末多孔材料作为表面增强拉曼光谱基底用于检测有机磷农药的研究

本文提出了一种新型的基于银修饰的氨基改性粉末多孔材料的表面增强拉曼光谱(SERS)检测方法,以乐果为探针分子,分析了银溶胶的量和反应时间对基底SERS活性的影响。乐果和水胺硫磷在以银溶胶为基底时,分别只能检测到100mg/L和7mg/L,而以银修饰的氨基改性粉末多孔材料为基底时,乐果和水胺硫磷的最低检测浓度分别达到0.5mg/L和0.14mg/L,说明该基底具有很好的增强效果。此外,检测低浓度下乐果和水胺硫磷的混合农药溶液,各农药的特征峰在谱图中仍然能清晰可辨。根据实验结果可以推测,银修饰的氨基改性粉末多孔材料作为SERS基底,可以有效地应用于有机磷农药残留的检测。     

乐果涂膜表面增强拉曼光谱研究

通过蒸发乐果饱和水溶液在磁控溅射银膜上形成乐果涂膜,利用表面增强拉曼光谱(SERS)技术研究了乐果涂膜的分子振动特性,并与乐果固体拉曼谱进行比较。研究结果表明,乐果晶体结构长程有序性的破坏造成涂膜SERS体系中υ(P—S)和υ(PS)振动峰的展宽和蓝移,水解引起乐果δ(SPOC)和δs(COPOC)振动模式强度降低,OC—N键中的O原子和N原子以及水解质子化的O在银表面吸附造成υ(OC—N)、υ(OC)、δ(N—H)、υ(CN)、δ(C—N—C)、δ(OPO)和υ(P—O)等振动模式显著增强。这为利用SERS技术研究乐果溶液以及乐果在植物体、食品中的残留提供了实验和理论依据。     

乐果晶体及其熔体的拉曼光谱研究

在785nm激发波长观测了乐果晶体及其熔体拉曼光谱,结果显示乐果晶体60℃熔化后在344,428和530cm-1处出现新峰,498cm-1处,(P-S)和648cm-1处,(P=S)峰强度发生反转,,(P=S)峰发生反常蓝移现象。这表明晶体结构长程有序性破坏对乐果拉曼光谱存在较强影响,在有关乐果溶液拉曼光谱实验和理论研究中应予以考虑。     

Development of New Molecular Imprinted Solid Phase Extraction Material for Dimethoate

In this study, we have proposed a novel organophosphate mimic surface molecular imprinted polymer for selective binding of the nerve agent by chitosan–Cd(II) as a new metal-chelating monomer via metal coordination–chelation interactions and dimethoate templates. We have improved a method for the selective binding behavior of dimethoate compounds on the surface of molecular imprinted polymer, which was prepared using ligand-exchange (chitosan–Cd(II)) monomers. The influence of ligand exchange imprinting on the creation of recognition sites toward dimethoate has determined application of adsorption isotherms. The effect of initial concentration of dimethoate, adsorption time, and imprinting efficiency on the adsorption selectivity for molecular imprinted polymer-ligand exchange has been investigated. The number of accessible sites (Qmax), relative selectivity coefficients (k′), and binding abilities have also been evaluated. Then, molecular imprinted polymer-ligand exchange was treated with formaldehyde to remove dimethoate templates.     

基于铂/碳球的乙酰胆碱酯酶传感器在农药乐果检测中的应用研究

基于农药乐果对乙酰胆碱酯酶的抑制作用,构建生物传感器,实现了农药乐果的快速、高灵敏检测。合成了纳米材料铂/碳球(Pt/Cs),利用其比表面积大、导电性好的优势,构建乙酰胆碱酯酶(ACh E)传感器。铂/碳球修饰电极比裸电极的阻抗更低,峰电流增加了147.06%,说明该材料能很好地保持酶的催化活性。在最优实验条件下,用ACh E传感器检测农药乐果,在1.0×10~(-9)~1.0×10~(-6)g/L范围,乐果浓度的负对数与抑制率呈良好的线性关系,其检出限为7.3×10~(-12)g/L(按抑制率为10%计算)。对纺织品样品进行加标回收实验,测得回收率为86.2%~101.7%。     

Viscose-Derived Activated Carbons Fibers as Highly Efficient Adsorbents for Dimethoate Removal from Water

Extensive use of pesticides resulting in their accumulation in the environment presents a hazard for their non-target species, including humans. Hence, efficient remediation strategies are needed, and, in this sense, adsorption is seen as the most straightforward approach. We have studied activated carbon fibers (ACFs) derived from viscose fibers impregnated with diammonium hydrogen phosphate (DAHP). By changing the amount of DAHP in the impregnation step, the chemical composition and textural properties of ACFs are effectively tuned, affecting their performance for dimethoate removal from water. The prepared ACFs effectively reduced the toxicity of treated water samples, both deionized water solutions and spiked tap water samples, under batch conditions and in dynamic filtration experiments. Using the results of physicochemical characterization and dimethoate adsorption measurements, multiple linear regression models were made to reliably predict performance towards dimethoate removal from water. These models can be used to quickly screen among larger sets of possible adsorbents and guide the development of novel, highly efficient adsorbents for dimethoate removal from water.     

Determination of dimethoate and phosmet pesticides with surface-enhanced Raman spectroscopy

ABSTRACT

Surface-enhanced Raman spectroscopy spectra of dimethoate and phosmet pesticides were recorded using a Klarite substrate. Significant enhancements were achieved with dimethoate over a concentration range of 0.5–10 µg mL^?1 and phosmet over a concentration range of 0.1–10 µg mL^?1. The best prediction model for dimethoate pesticide was achieved with a correlation coefficient of 0.940 and a root mean square error of prediction of 0.864 µg mL^?1, with the first derivative and standard normalized variate data preprocessing, and the best prediction model of phosmet pesticide was achieved with a correlation coefficient of 0.949 and a root mean square error of prediction of 0.741 µg mL^?1 with the first derivative data preprocessing. Our study shows that pesticides, including dimethoate and phosmet, could be quantitatively measured at as low as 0.5 µg mL^?1 level using surface-enhanced Raman technology coupled with a Klarite substrate and the results indicated that surface-enhanced Raman spectroscopy with a Klarite substrate has potential for the analysis of dimethoate and phosmet residues.