Identification of raw and processed atractylodes by DCBI-MS
ZENG Xingxing1,2 CHEN Bo3▲ GU Zhixin3 LIU Jingjing3 WANG Jianfen1,2 MA Ning1,2 RUAN Xiaoning1,2
1.Changsha Medical University, Hu′nan Province, Changsha 410219, China;
2.Key Laboratory breeding base of Hu′nan Oriented Fundamental and Applied Research of Innovative Pharmaceutics, Hu′nan Province, Changsha 410219, China; 3.Key Laboratory of Phytochemistry R&D of Hu′nan Province, Hu′nan Normal University, Hu′nan Province, Changsha 410081, China
Abstract：Objective To establish a rapid identification method for desorption corona beam ionization-mass spectrometry (DCBI-MS) (second order) of processed and unprocessed atractylodes. Methods The in situ tracking technique was used to track the transformation of atractyl ketone, and the best processing temperature of atractylodes were discussed. The chemical constituents of processed and unprocessed atractylodes were analyzed by DCBI-MS. Results The best processing temperature of atractylodes were 120-140℃. Sixty batches of samples included 1 batch of reference medicinal materials, 27 batches of raw medicinal herbs, 19 batches of earth-boiled atractylodes, and 13 batches of bran-enriched atractylodes; compared with raw products, the contents of atractyl ketone in processed products decreased to varying degrees, and the relative abundance of atractylenolide Ⅱ and atractylenolide Ⅲ increased significantly; the similarity of raw atractylodes was 0.90-0.95, the similarity of atractylodes processed with soil was 0.83-0.90, and the similarity of atractylodes processed with wheat bran was 0.71-0.82, and it can be used to visually distinguish between raw atractylodes, atractylodes processed with soil, and atractylodes processed with wheat bran. Conclusion The DCBI-MS method can effectively track the transformation of atractylenolide Ⅰ, Ⅱ and Ⅲ during processing, and obtain the best processing parameters, and can effectively distinguish the processed and unprocessed atractylodes, which can be optimized as processing conditions. The rapid detection tool provides a reference for the quality control of Chinese herbal medicines.
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2018, Vol. 15 
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