Latif Ahmad, Minxia Fan, Juhar Zemede, Andrew J Semotiuk, Guilin Chen, Guangwan Hu
{"title":"天然产物中乌头碱生物碱的分析方法研究进展","authors":"Latif Ahmad, Minxia Fan, Juhar Zemede, Andrew J Semotiuk, Guilin Chen, Guangwan Hu","doi":"10.1002/pca.70003","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Aconitine, the main toxic and active compound in Aconitum species, is a key component of Traditional Chinese Medicine (TCM), valued for its anti-inflammatory, cardiotonic, and analgesic properties. However, its potent neurotoxicity and cardiotoxicity, potentially leading to fatal outcomes, necessitate careful evaluation and management.</p><p><strong>Objectives: </strong>Accurately identifying aconitine in natural products is one of the hot issues of international concern regarding the safety of TCM. This review systematically evaluates the current scientific literature to assess advancements in analytical methodologies for identifying and quantifying aconitine.</p><p><strong>Methods: </strong>This review systematically evaluates literature from 2000 to 2025 regarding analytical methods for aconitine determination, utilizing databases such as PubMed, ScienceDirect, and Google Scholar.</p><p><strong>Results: </strong>From 2237 identified articles, 90 were evaluated. This review highlights the advantages of LC-MS, DESI-MSI, and ambient MS techniques for identifying and quantifying aconitine, emphasizing their rapid analysis, minimal sample preparation, and cost-effectiveness. These advanced methods offer significant potential for reliable applications in various fields. DESI-MSI and DART-MS enable solvent-free, rapid analysis in native conditions, whereas oEESI-MS offers high throughput, precise quantification, and reduced solvent/sample use. The modified methods, H-oEESI-MS, allow direct analysis of Aconitum herbal materials without pretreatment, demonstrating high efficiency.</p><p><strong>Conclusions: </strong>This review identifies research gaps and future directions using advanced analytical methods for aconitine determination, aiming to enhance quality control, regulatory compliance, and product safety. The integration of artificial intelligence into aconitine detection and analysis in TCM presents transformative potential, promising enhanced accuracy, efficiency, and safety while stimulating innovation and guiding future research directions in analytical science.</p>","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent Advances in Analytical Methods for Aconitine Alkaloid in Natural Products: A Systematic Review.\",\"authors\":\"Latif Ahmad, Minxia Fan, Juhar Zemede, Andrew J Semotiuk, Guilin Chen, Guangwan Hu\",\"doi\":\"10.1002/pca.70003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Aconitine, the main toxic and active compound in Aconitum species, is a key component of Traditional Chinese Medicine (TCM), valued for its anti-inflammatory, cardiotonic, and analgesic properties. However, its potent neurotoxicity and cardiotoxicity, potentially leading to fatal outcomes, necessitate careful evaluation and management.</p><p><strong>Objectives: </strong>Accurately identifying aconitine in natural products is one of the hot issues of international concern regarding the safety of TCM. This review systematically evaluates the current scientific literature to assess advancements in analytical methodologies for identifying and quantifying aconitine.</p><p><strong>Methods: </strong>This review systematically evaluates literature from 2000 to 2025 regarding analytical methods for aconitine determination, utilizing databases such as PubMed, ScienceDirect, and Google Scholar.</p><p><strong>Results: </strong>From 2237 identified articles, 90 were evaluated. This review highlights the advantages of LC-MS, DESI-MSI, and ambient MS techniques for identifying and quantifying aconitine, emphasizing their rapid analysis, minimal sample preparation, and cost-effectiveness. These advanced methods offer significant potential for reliable applications in various fields. DESI-MSI and DART-MS enable solvent-free, rapid analysis in native conditions, whereas oEESI-MS offers high throughput, precise quantification, and reduced solvent/sample use. The modified methods, H-oEESI-MS, allow direct analysis of Aconitum herbal materials without pretreatment, demonstrating high efficiency.</p><p><strong>Conclusions: </strong>This review identifies research gaps and future directions using advanced analytical methods for aconitine determination, aiming to enhance quality control, regulatory compliance, and product safety. The integration of artificial intelligence into aconitine detection and analysis in TCM presents transformative potential, promising enhanced accuracy, efficiency, and safety while stimulating innovation and guiding future research directions in analytical science.</p>\",\"PeriodicalId\":20095,\"journal\":{\"name\":\"Phytochemical Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Phytochemical Analysis\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1002/pca.70003\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytochemical Analysis","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/pca.70003","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Recent Advances in Analytical Methods for Aconitine Alkaloid in Natural Products: A Systematic Review.
Introduction: Aconitine, the main toxic and active compound in Aconitum species, is a key component of Traditional Chinese Medicine (TCM), valued for its anti-inflammatory, cardiotonic, and analgesic properties. However, its potent neurotoxicity and cardiotoxicity, potentially leading to fatal outcomes, necessitate careful evaluation and management.
Objectives: Accurately identifying aconitine in natural products is one of the hot issues of international concern regarding the safety of TCM. This review systematically evaluates the current scientific literature to assess advancements in analytical methodologies for identifying and quantifying aconitine.
Methods: This review systematically evaluates literature from 2000 to 2025 regarding analytical methods for aconitine determination, utilizing databases such as PubMed, ScienceDirect, and Google Scholar.
Results: From 2237 identified articles, 90 were evaluated. This review highlights the advantages of LC-MS, DESI-MSI, and ambient MS techniques for identifying and quantifying aconitine, emphasizing their rapid analysis, minimal sample preparation, and cost-effectiveness. These advanced methods offer significant potential for reliable applications in various fields. DESI-MSI and DART-MS enable solvent-free, rapid analysis in native conditions, whereas oEESI-MS offers high throughput, precise quantification, and reduced solvent/sample use. The modified methods, H-oEESI-MS, allow direct analysis of Aconitum herbal materials without pretreatment, demonstrating high efficiency.
Conclusions: This review identifies research gaps and future directions using advanced analytical methods for aconitine determination, aiming to enhance quality control, regulatory compliance, and product safety. The integration of artificial intelligence into aconitine detection and analysis in TCM presents transformative potential, promising enhanced accuracy, efficiency, and safety while stimulating innovation and guiding future research directions in analytical science.
期刊介绍：
Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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