Tripathy Vandana, Saha Ajoy, Kumar Jitendra
ICAR-Directorate of Medicinal and Aromatic Plants Research, Anand, Gujarat 387310 India.
J Food Sci Technol. 2017 Feb;54(2):458-468. doi: 10.1007/s13197-017-2487-x. Epub 2017 Jan 31.
Although a lot of work has been conducted in the pesticide residues analysis in food matrices but the quality determination (with respect to major contaminants such as pesticide residues) in medicinal plant matrices has a long way to go. Hence a study was conducted to determine pesticide residues in four medicinal herbs, which are highly traded commodities in international market. Samples were extracted and cleaned up by modified QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) approach and analyzed by gas chromatograph-mass spectrometer (GC-MS). The method was subjected to thorough validation procedure in-terms of accuracy, precision, limits of quantification (LOQ), matrix effect, linearity and uncertainty analysis. The mean recoveries for most of the pesticides were in the range of 70-120% with RSD <20% and measurement uncertainties were less than 20% for all the compounds at spiking level of 0.5 mg kg in all the matrices. The limits of quantification (LOQ) ranged from 0.01 to 0.069 mg kg. The proposed method was successfully applied to determine pesticide residues in 52 commercial market samples obtained from different locations in India.
尽管在食品基质中农药残留分析方面已经开展了大量工作,但药用植物基质中的质量测定(针对农药残留等主要污染物)仍有很长的路要走。因此,开展了一项研究,以测定四种药用草本植物中的农药残留,这四种植物是国际市场上交易量大的商品。采用改良的QuEChERS(快速、简便、廉价、有效、耐用和安全)方法对样品进行提取和净化,并通过气相色谱-质谱联用仪(GC-MS)进行分析。该方法在准确性、精密度、定量限(LOQ)、基质效应、线性和不确定度分析方面进行了全面的验证程序。大多数农药的平均回收率在70%-120%之间,相对标准偏差(RSD)<20%,在所有基质中加标水平为0.5 mg/kg时,所有化合物的测量不确定度均小于20%。定量限(LOQ)范围为0.01至0.069 mg/kg。所提出的方法成功应用于测定从印度不同地点采集的52个商业市场样品中的农药残留。