金纳米颗粒修饰的粉末状多孔材料用于固相萃取及原位超灵敏度表面增强拉曼光谱检测

本文合成了一种基于金纳米颗粒修饰的粉末状聚甲基丙烯酸缩水甘油酯-二甲基丙烯酸乙二酯(GMA-EDMA)材料的表面增强拉曼光谱基底。将此基底作为固相萃取剂用于富集和原位的SERS检测。利用此方法对亚胺硫磷进行检测,可以得到5"g/L的样品分子信号。进一步对橙子表面亚胺硫磷进行检测,结果表明此方法对于农药残留的检测有着好的应用前景。     

表面增强拉曼光谱内标法测定亚胺硫磷农残含量

采用柠檬酸钠还原法制备了具有表面增强拉曼散射(SERS)活性的纳米银溶胶,进而利用亚胺硫磷(Phosmet)吸附于纳米银胶表面使其产生SERS光谱,并对Phosmet的含量进行了测定。选择硫氰化钾(KSCN)为内标物,通过不同浓度亚胺硫磷的拉曼特征峰(S—P伸缩振动503 cm-1)与内标物SCN-的特征峰(2 120 cm-1)峰高的相对强度比,建立线性回归方程。结果表明:Phosmet的线性范围为5.0×10-7~1.2×10-5mol·L-1,相关系数为0.997 8;按7次空白实验所对应响应值IR的3倍标准偏差,计算得检出限为2.82×10-7mol·L-1;回收率为88.7%~110.2%,相对标准偏差(RSD)不大于8.0%。方法测定简单、操作方便、内标物干扰小,可应用于其他农残的分析测定。     

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.     

Determination of phosmet and its metabolites in olives by matrix solid-phase dispersion and gas chromatography-mass spectrometry

An accurate method based on matrix solid-phase dispersion (MSPD), and gas chromatography-mass spectrometry (GC/MS) was developed for determination of phosmet residues and its metabolites (phosmet-oxon, phthalimide, N-hydroxymethylphthalimide, and phthalic acid) in olive fruits. After testing different sorbents and eluents for MSPD extraction, C₁₈ and acetonitrile were found to be the most appropriate for clean-up of the samples, in terms of yields and efficient removal of interfering compounds. All analytes were determined in selective ion monitoring (SIM) mode following a derivatization step with N,O-bis-trimethylsilyltrifluoroacetamide (BSTFA) containing 1% of trimethylchlorosilane (TMCS), except for phosmet and phosmet-oxon which were analyzed directly. The method showed suitable linearity (correlation coefficients higher than 0.8919 for all the compounds) and suitable sensitivity (limit of detection lower than 0.06 mg/kg). It was successfully applied in the analysis of olive fruits collected during the preharvest interval and olive oil. Phosmet residues found in all samples were lower than the maximum residue limits established by legislation (2 mg/kg).