Angelica sinensis is a traditional medicinal and edible plant in China, known as the "Nine Returns in Ten Directions" since ancient times. Due to its high price and the abundance of similar plants, adulteration and adulteration of Angelica sinensis often occur. Therefore, it is urgent to establish reliable detection and identification methods. This study introduces the ladder-type melting temperature isothermal amplification (LMTIA) technology independently developed by the team for the detection and identification of Angelica sinensis. A system for identifying Angelica sinensis and Angelica acutiloba based on LMTIA technology is established for the detection of Angelica sinensis components in food and traditional Chinese medicine. On the basis of establishing LMTIA technology detection methods for Angelica sinensis and Angelica acutiloba, a dual LMTIA technology detection method for Angelica sinensis and Angelica acutiloba DNA was established (this method has been applied for and granted an invention patent). Use Proofman probes to label two different fluorescent groups, with Angelica sinensis labeled as FAM fluorescent group and Angelica acutiloba labeled as JOE fluorescent group. Add two Proofman probes and primers to the same reaction system to establish a dual Proofman LMTIA detection method for Angelica sinensis and Angelica acutiloba. By optimizing the reaction temperature, sensitivity, stability, and specificity are tested. The results showed that the established dual Proofman LMTIA detection method for Angelica sinensis and Angelica acutiloba was most suitable for a reaction temperature of 62 ℃, with a sensitivity of 10 pg/μ L for Angelica sinensis and 1 pg/μ L for Angelica acutiloba. The stability of the dual detection was good, and there was no cross reaction between Angelica sinensis and Angelica acutiloba. Nucleic acid amplification was completed within 20 minutes. Seven samples of Angelica sinensis were tested using the established method, and the results showed that they were all true Angelica sinensis. The above research indicates that LMTIA technology has the characteristics of strong specificity, high sensitivity, and short detection time, and can be used for the detection and identification of Angelica sinensis and other substances.

Xiao Fugang, male, born in July 1978, from Queshan, Henan Province. He holds a PhD, is a professor, the Chief Science and Technology Expert of Henan Province, the academic and technical leader of Henan Provincial Department of Education, and a young backbone teacher in Henan Province's universities. He is currently the Associate Dean of the Food and Pharmacy College at Xuchang University. Deputy Director of the Key Laboratory of Fast Detection Technology for Food Safety Biomarkers in Henan Province, Deputy Director of the Engineering Laboratory of Fast Detection Products and Equipment for Biomarkers in Henan Province, Deputy Director of the International Joint Laboratory for Recombinant Protein and Molecular Detection in Henan Province, Leader of the Key Discipline of Food Science in Henan Province, Leader of the Key Discipline of Biology and Medicine in Henan Province, Leader of the Innovative Technology Team for the R&D of Fast Detection Products for Biomarkers in Henan Province, Director of the Key Laboratory of Xuchang, Director of the Xuchang Technology Innovation Center, and Leader of the Innovative Technology Team in Xuchang. In March 2009, he graduated from the State Key Laboratory of Food Science and Technology of Jiangnan University with a doctor's degree in engineering. He have been working at Xuchang University since April 2009, during which He served as the Deputy Director of the Industrial Agglomeration Zone Management Committee in Xinzheng City and as a visiting scientist at the Eastern Research Center of the US Department of Agriculture (during which He received the US Department of Agriculture Contribution Award). Published over 130 scientific papers (including 35 SCI/EI papers), granted 15 invention patents, and authored 8 monographs and textbooks; Hosted 8 national and provincial-level projects, and received 8 awards at or above the provincial and ministerial level. Main research directions: rapid detection of food safety, development of dual-use special food ingredients for medicine and food, and deep processing of agricultural and sideline products. As a project evaluation expert for the Ministry of Science and Technology and a provincial-level science and technology award evaluation expert. Main part-time positions: Executive Committee Member of the Traditional Chinese Medicine Quality Evaluation Branch of the China Association for the Promotion of Traditional Chinese Medicine Research, Director of the National Food and Drug Homologous Industry Alliance, Director of the National Innovative Alliance for Forage Chinese Herbal Medicine Industry, Vice Chairman of the Henan Food and Drug and Grain Backbone Vocational Education Group, Executive Director of the Henan Food Science and Technology Society, and Executive Director of the Henan Medicine Food Homologous Functional Food Industry Technology Innovation Strategic Alliance.