利用联用色谱技术,从天然来源中发现基于化学计量学的药物。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-07-01 Epub Date: 2024-05-28 DOI:10.1002/pca.3382
Marjan Mahboubifar, Christian Zidorn, Mohamed A Farag, Ahmed Zayed, Amir Reza Jassbi
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引用次数: 0

摘要

简介:从海洋或陆地生物来源的复杂基质中分离和表征生物活性成分是天然产物化学家面临的最具挑战性的问题。生物化学计量学是天然产物分析科学的一个新的潜在领域,它是一种在色谱技术和化学计量学工具的帮助下寻找化合物与其生物活性相关性的方法:本综述旨在评估化学计量学工具与色谱技术相结合在从自然资源中发现药物方面的应用:以 "生物化学计量学"、"化学计量学"、"色谱法"、"天然产物生物分析 "和 "生物分析 "为检索关键词,使用 "Pubmed"、"Web of Science"、"ScienceDirect "和 "Google scholar "等不同搜索引擎检索2010-2023年间发表的文章:天然产物分析的初始阶段是将色谱联用技术与生物化学计量学方法相结合。在应用的色谱技术中,液相色谱(LC)技术占了一半以上(53%),此外,基于质谱(MS)的色谱技术(如 LC-MS)也是天然产物生物分析中结合化学计量学方法应用最广泛的技术。考虑到色谱联用技术所获得数据集的复杂性,化学计量学工具已越来越多地用于植物化学研究,以确定植物药的地理来源、质量控制和生物活性化合物的检测:随着数据采集方法、新的高效预处理方法、模型验证和变量选择方法的不断进步,生物化学计量学的应用有望得到进一步改善,从而保证应用模型在化合物的生物活性方面具有良好的预测能力。
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Chemometric-based drug discovery approaches from natural origins using hyphenated chromatographic techniques.

Introduction: Isolation and characterization of bioactive components from complex matrices of marine or terrestrial biological origins are the most challenging issues for natural product chemists. Biochemometric is a new potential scope in natural product analytical science, and it is a methodology to find the compound's correlation to their bioactivity with the help of hyphenated chromatographic techniques and chemometric tools.

Objectives: The present review aims to evaluate the application of chemometric tools coupled to chromatographic techniques for drug discovery from natural resources.

Methods: The searching keywords "biochemometric," "chemometric," "chromatography," "natural products bioassay," and "bioassay" were selected to search the published articles between 2010-2023 using different search engines including "Pubmed", "Web of Science," "ScienceDirect," and "Google scholar."

Results: An initial stage in natural product analysis is applying the chromatographic hyphenated techniques in conjunction with biochemometric approaches. Among the applied chromatographic techniques, liquid chromatography (LC) techniques, have taken up more than half (53%) and also, mass spectroscopy (MS)-based chromatographic techniques such as LC-MS are the most widely used techniques applied in combination with chemometric methods for natural products bioassay. Considering the complexity of dataset achieved from chromatographic hyphenated techniques, chemometric tools have been increasingly employed for phytochemical studies in the context of determining botanicals geographical origin, quality control, and detection of bioactive compounds.

Conclusion: Biochemometric application is expected to be further improved with advancing in data acquisition methods, new efficient preprocessing, model validation and variable selection methods which would guarantee that the applied model to have good prediction ability in compound relation to its bioactivity.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
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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