ICAR-Directorate of Medicinal and Aromatic Plants Research, Boriavi, Anand, Gujarat 387310, India; National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412307, India.
National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412307, India.
J Chromatogr A. 2022 Aug 16;1677:463310. doi: 10.1016/j.chroma.2022.463310. Epub 2022 Jul 8.
While medicinal plants are in high demand worldwide for their therapeutic properties, they can constitute a health concern to consumers when contaminated with mycotoxins. The unavailability of standardised methods for multiclass mycotoxin analysis to assess health risks has thus been realised. This study reports a simple, robust and precise method to estimate nine regulated mycotoxins in a range of Indian medicinal plant matrices including giloy (Tinospora cordifolia), ashwagandha (Withania somnifera), safed musli (Chlorophytum borivilianum), satavari (Asparagus racemosus) and tulsi (Ocimum sanctum). The sample preparation method involved extraction of homogenised matrices (12.5 g) using methanol:water (8:2, 100 mL) followed by cleanup through a multi-mycotoxin immunoaffinity column (IAC), which significantly reduced matrix interferences. The method was initially developed and validated using liquid chromatography tandem mass spectrometry (LC-MS/MS) for the simultaneous analysis of aflatoxins (B, B, G, G), ochratoxin A, zearalenone, deoxynivalenol, T-2 and HT-2 toxin. Later, it was validated using LC-fluorescence (LC-FLD) for aflatoxins, ochratoxin A and zearalenone. The optimised sample preparation protocol and analytical method provided acceptable results. Compared to LC-FLD, it was possible to attain a lower limit of quantification (LOQ) with LC-MS/MS for all the tested analytes except aflatoxins. However, LOQs of both instruments were lower than the maximum limits (MLs), with recoveries ranging between 71 and 110% and precision (RSD) of ≤10% across matrices. Despite matrix-induced signal suppressions in LC-MS/MS analysis, the matrix-matched calibrations corrected all recoveries. Considering its accuracy, reliability, robustness and time-effectiveness, this method is recommended for regulatory testing purposes.
虽然药用植物因其治疗特性而在全球范围内需求量很大,但当它们被真菌毒素污染时,可能会对消费者的健康构成威胁。因此,目前还没有用于多类真菌毒素分析的标准化方法来评估健康风险。本研究报告了一种简单、稳健和精确的方法,用于估计一系列印度药用植物基质中的 9 种规定真菌毒素,包括印度人参(Tinospora cordifolia)、南非醉茄(Withania somnifera)、蒺藜(Chlorophytum borivilianum)、沙塔瓦里(Asparagus racemosus)和圣罗勒(Ocimum sanctum)。样品制备方法包括用甲醇:水(8:2,100 mL)提取均质基质(12.5 g),然后通过多真菌毒素免疫亲和柱(IAC)进行净化,这大大减少了基质干扰。该方法最初是使用液相色谱串联质谱(LC-MS/MS)开发和验证的,用于同时分析黄曲霉毒素(B、B、G、G)、赭曲霉毒素 A、玉米赤霉烯酮、脱氧雪腐镰刀菌烯醇、T-2 和 HT-2 毒素。后来,它使用 LC-荧光(LC-FLD)对黄曲霉毒素、赭曲霉毒素 A 和玉米赤霉烯酮进行了验证。优化的样品制备方案和分析方法提供了可接受的结果。与 LC-FLD 相比,除黄曲霉毒素外,LC-MS/MS 可以为所有测试分析物达到更低的定量限(LOQ)。然而,两种仪器的 LOQ 均低于最大限量(ML),回收率在 71%至 110%之间,各基质的精密度(RSD)均≤10%。尽管 LC-MS/MS 分析中存在基质诱导的信号抑制,但基质匹配校准纠正了所有回收率。考虑到其准确性、可靠性、稳健性和时效性,该方法推荐用于监管测试目的。