Ghosh Bappa, Bhattacharyya Arijita, Hingmire Sandip, Aher Pushpa, Zende Pradnya, Banerjee Kaushik
National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412307, India.
J AOAC Int. 2021 Mar 5;104(1):148-156. doi: 10.1093/jaoacint/qsaa093.
For years, turmeric has been used in several cuisines worldwide because of its proven health benefits. However, as its cultivation often involves applications of polar and semi-polar pesticides, their residues might cause health hazards to consumers. The dearth of a validated LC-MS/MS method for the residue analysis of these pesticides in turmeric has warranted the present study.
The aim was to develop and validate a multi-residue method for simultaneous determination of multi-class pesticides in turmeric (both rhizome and powder) by LC-MS/MS.
Both the rhizome and powder samples (1 kg) were soaked in water for 30 min, followed by homogenization. Each homogenate (2 g) was mixed with 10 mL water, and extracted with acetonitrile (10 mL) in the presence of acetic acid and NaCl. The extract was cleaned by using dispersive solid phase extraction (dSPE) with graphitized carbon (5 mg/mL) sorbent. The cleaned extract was measured by LC-MS/MS with a runtime of 20 min. The method was validated on 211 multi-class pesticides.
The method performance was satisfactory at 10 ng/g and higher levels, in compliance with the SANTE/12682/2019 guidelines. The dSPE cleanup was effective in minimizing the matrix effects. The use of matrix-matched calibrations specific for turmeric powder and rhizome corrected all recoveries within the satisfactory range of 70-120%. The precision -RSDs were <20% for all test pesticides. The Horwitz ratio and measurement uncertainty results were satisfactory as well.
As the method was convenient, selective, accurate, and repeatable, it is recommended for regulatory and commercial testing purposes.
For the first time, this study reports a validated LC-MS/MS method for the multi-residue analysis of pesticides in turmeric. The method provided a high throughput analysis of multi-class pesticides in turmeric rhizome and powder matrices with satisfactory selectivity, sensitivity, accuracy, and precision. The method performance satisfied the requirements of the SANTE/12682/2019 guidelines, and the method sensitivity complied with the EU-MRL requirements.
多年来,姜黄因其已被证实的健康益处而被广泛应用于世界各地的多种烹饪中。然而,由于其种植过程中经常使用极性和半极性农药,这些农药的残留可能会对消费者的健康造成危害。缺乏一种经过验证的用于分析姜黄中这些农药残留的液相色谱 - 串联质谱(LC-MS/MS)方法,促使了本研究的开展。
旨在开发并验证一种通过LC-MS/MS同时测定姜黄(根茎和粉末)中多类农药的多残留方法。
将根茎和粉末样品(1千克)在水中浸泡30分钟,然后进行匀浆。每份匀浆(2克)与10毫升水混合,并在乙酸和氯化钠存在的情况下用乙腈(10毫升)萃取。提取物通过使用基于石墨化碳(5毫克/毫升)吸附剂的分散固相萃取(dSPE)进行净化。净化后的提取物通过LC-MS/MS进行测定,运行时间为20分钟。该方法在211种多类农药上进行了验证。
该方法在10纳克/克及更高水平时性能令人满意,符合SANTE/12682/2019指南。dSPE净化有效地减少了基质效应。使用针对姜黄粉末和根茎的基质匹配校准,使所有回收率在70 - 120%的满意范围内得到校正。所有测试农药的精密度 - 相对标准偏差(RSDs)均小于20%。霍维茨比率和测量不确定度结果也令人满意。
由于该方法方便、选择性好、准确且可重复,推荐用于监管和商业检测目的。
本研究首次报道了一种经过验证的用于姜黄中农药多残留分析的LC-MS/MS方法。该方法对姜黄根茎和粉末基质中的多类农药提供了高通量分析,具有令人满意的选择性、灵敏度、准确性和精密度。该方法性能满足SANTE/12682/2019指南的要求,且方法灵敏度符合欧盟最大残留限量(MRL)要求。