将 DNA 条形码纳入草药产品认证的正交方法:叙述性综述。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2025-01-01 Epub Date: 2024-11-12 DOI:10.1002/pca.3466
Nazia Nazar, Akanksha Saxena, Anu Sebastian, Adrian Slater, Velusamy Sundaresan, Tiziana Sgamma
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引用次数: 0

摘要

导言:现有的形态、感官和化学鉴定方法可能无法充分确保植物物种的准确鉴定或保证安全性。中草药原料鉴定仍是中草药领域的一大挑战。在过去的十年中,DNA 条形编码结合各种检测方法的正交方法已成为植物鉴定的新趋势:本综述评估了 DNA 条形码和植物相关领域常用的替代检测方法,以提高质量保证和准确鉴定:方法:根据研究与草药产品的鉴定、质量保证和安全性的相关性选择研究。纳入标准为同行评议文章、系统综述以及过去二十年中关于 DNA 条形码、鉴定方法及其应用的相关案例研究。排除标准包括缺乏经验数据的研究、未经同行评议的研究或与主要关注点无关的研究。这样既能确保纳入高质量的相关资料,又能排除相关性较低的研究:正交方法是指使用多种独立的方法提供互补信息,以实现更准确的植物鉴定和质量保证。这种方法通过不同的技术确认结果,将 DNA 条形码与形态分析或化学分析相结合,从而减少假阳性或假阴性。它增强了对结果的信心,特别是在植物材料可能掺假或识别错误的情况下:本研究强调了在确保植物材料的质量、纯度和安全性方面长期存在的挑战。此外,它还强调了将基于 DNA 的鉴定与传统方法相结合以提高植物材料鉴定水平的重要性。
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Integrating DNA Barcoding Within an Orthogonal Approach for Herbal Product Authentication: A Narrative Review.

Introduction: Existing methods for morphological, organoleptic, and chemical authentication may not adequately ensure the accurate identification of plant species or guarantee safety. Herbal raw material authentication remains a major challenge in herbal medicine. Over the past decade, DNA barcoding, combined with an orthogonal approach integrating various testing methods for quality assurance, has emerged as a new trend in plant authentication.

Objective: The review evaluates DNA barcoding and common alternative testing in plant-related sectors to enhance quality assurance and accurate authentication.

Method: Studies were selected based on their relevance to the identification, quality assurance, and safety of herbal products. Inclusion criteria were peer-reviewed articles, systematic reviews, and relevant case studies from the last two decades focused on DNA barcoding, identification methods, and their applications. Exclusion criteria involved studies lacking empirical data, those not peer-reviewed, or those unrelated to the main focus. This ensured the inclusion of high-quality, pertinent sources while excluding less relevant studies.

Results: An orthogonal approach refers to the use of multiple, independent methods that provide complementary information for more accurate plant identification and quality assurance. This reduces false positives or negatives by confirming results through different techniques, combining DNA barcoding with morphological analysis or chemical profiling. It enhances confidence in results, particularly in cases of potential adulteration or misidentification of plant materials.

Conclusion: This study highlights the persistent challenges in assuring the quality, purity, and safety of plant materials. Additionally, it stresses the importance of incorporating DNA-based authentication alongside traditional methods, to enhance plant material identification.

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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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