High-throughput analysis method for mycotoxins in plant Chinese medicinal materials

Abstract

The invention provides a high-throughput analysis method for mycotoxins in plant Chinese medicinal materials. The method comprises the following steps: carrying out pretreatment on plant Chinese herbal powder, and analyzing UHPLC-MS / MS. The high-throughput analysis method for mycotoxins in the plant Chinese medicinal materials aims at matrix characteristics of the plant Chinese medicinal materials, and subtly replaces an aqueous solution with an acidic buffer solution to reduce the concentration of required formic acid, so as to reduce the extraction of acidic impurities and effectively reducethe interference, and reasonably introduces a silica gel filler for targeted removal of compounds with stronger polarity from a plant Chinese medicinal material matrix and avoids the use of the traditional filler GCB so as to effectively improve the recovery rate of mycotoxins; according to the invention, qualitative and quantitative UHPLC-MS / MS analysis system and method for a total of 70 mycotoxins of 5 species of bacteria genuses is established for the first time to obviously improve the pretreatment purification level of plant Chinese medicinal material samples and the recovery rate of various mycotoxins, and greatly increase the mycotoxin monitoring species, so that the high-throughput analysis method for mycotoxins in the plant Chinese medicinal materials has broad application prospects and good market potential.

Description

technical field [0001] The invention belongs to the field of analysis and detection of Chinese medicinal materials, and in particular relates to a high-throughput analysis method for mycotoxins in plant Chinese medicinal materials. Background technique [0002] Mycotoxins are toxic metabolites of fungi, some of which are highly toxic and can even cause strong effects such as carcinogenicity. As we all know, mycotoxins are important pollutants in food and feed, and have been listed by the World Health Organization (WHO) as an important source of foodborne diseases; Entering the human body and livestock, it has severe chronic toxicity, including liver and kidney toxicity, carcinogenicity, mutagenicity and teratogenicity. For example, aflatoxin B 1 Because of its strong carcinogenicity, it has been designated as a class I carcinogen by the World Health Organization, posing a serious threat to human health. [0003] There is also mycotoxin pollution in traditional Chinese med...

AI Technical Summary

Problems solved by technology

The literature method uses the traditional PSA, C 18 and GCB three kinds of purification fillers, the extraction solvent used increases the acidity of the traditional extraction solvent acetonitrile, so that the concentration of formic acid reaches 15%. As a result, the recovery rate of most mycotoxins basically meets the international general recovery rate requirement: 80% ~120%, but less than ideal recovery of fumonisin mycotoxins, such as fumonisin B 1 The recovery rate is only 73%

[0010] However, the method reported in the literature is not suitable for the detection and analysis of higher throughput multiple mycotoxins in plant-based Chinese medicinal materials

Since the research object of this document, Earthworm is an animal Chinese medicinal material, and only two types of Aspergillus and Fusarium have been studied, a total of 22 kinds of mycotoxins; the inventor applied this method to plant Chinese medicinal materials, and the fungi detected simultaneously The mycotoxins of the genus Ergot, Penicillium and Alternaria were added to the variety of toxins. There were a total of 70 mycotoxins in 5 categories. The recovery rate cannot meet the international general recovery rate requirements

In addition, the concentration of formic acid in the extraction solvent reported in the literature is relatively high, and more acidic impurities are easily extracted, resulting in increased interference, which increases the baseline of detection of various targets, affects the detection limit, and makes the sensitivity unable to meet the detection requirements. need

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