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用水和甲醇提取的发酵与未发酵路易波士样品的酚类含量及抗氧化活性比较

Comparison of Phenolic Content and Antioxidant Activity for Fermented and Unfermented Rooibos Samples Extracted with Water and Methanol.

作者信息

Hussein Eslam A, Thron Christopher, Ghaziasgar Mehrdad, Vaccari Mattia, Marnewick Jeanine L, Hussein Ahmed A

机构信息

Department of Computer Science, University of the Western Cape, Bellville, Cape Town 7535, South Africa.

Department of Science and Mathematics, University-Central Texas, Killeen, TX 76549, USA.

出版信息

Plants (Basel). 2021 Dec 22;11(1):16. doi: 10.3390/plants11010016.

Abstract

Rooibos is brewed from the medicinal plant Aspalathus linearis. It has a well-established wide spectrum of bio-activity properties, which in part may be attributed to the phenolic antioxidant power. The antioxidant capacity (AOC) of rooibos is related to its total phenolic content (TPC). The relation between TPC and AOC of randomly selected 51 fermented (FR) and 47 unfermented (UFR) rooibos samples was studied after extraction using water and methanol separately. The resulted extracts were assessed using two antioxidant assays, trolox equivalent antioxidant capacity (TEAC) and ferric reducing antioxidant power (FRAP). The results were analyzed using both simple statistical methods and machine learning. The analysis showed different trends of TPC and AOC correlations of FR and UFR samples, depending on the solvent used for extraction. The results of the water extracts showed similar TPC and higher AOC of FR than UFR samples, while the methanolic extracted samples showed higher TPC and AOC of UFR than FR. As a result, the methanolic extracts showed better agreement between TPC and AOC than water extracts. Possible explanations are given for these observed results. Although, the current literature demonstrates direct correlations of the TPC and AOC of rooibos water extracts. This study showed deviation and highlighted the importance of solvent selection and analysis methodology as an important factor in determining the TPC/AOC correlation and subsequently the expectation of the actual health benefits of rooibos herbal tea. In particular, unfermented and fermented samples can be accurately identified on the basis of a combination of assays (any two of TPC, FRAP and TEAC), especially if methanol is the solvent used. Machine learning analysis of assay data provides nearly identical results with classical statistical analytical methods. This is the first report on machine learning analysis and comparison of the TPC and AOC of rooibos herbal tea extracted with methanol and water, and highlights the importance of using methanol as a solvent to evaluate its AOC.

摘要

路易波士茶由药用植物线叶金雀花冲泡而成。它具有广泛且已被充分证实的生物活性特性,部分原因可能归因于其酚类抗氧化能力。路易波士茶的抗氧化能力(AOC)与其总酚含量(TPC)相关。分别用水和甲醇提取后,研究了随机选取的51个发酵(FR)和47个未发酵(UFR)路易波士茶样品的TPC与AOC之间的关系。使用两种抗氧化测定方法(Trolox等效抗氧化能力(TEAC)和铁还原抗氧化能力(FRAP))对所得提取物进行评估。使用简单统计方法和机器学习对结果进行分析。分析表明,根据用于提取的溶剂不同,FR和UFR样品的TPC和AOC相关性呈现出不同趋势。水提取物的结果显示,FR样品的TPC与UFR样品相似,但AOC更高,而甲醇提取物样品显示UFR的TPC和AOC高于FR。因此,甲醇提取物的TPC和AOC之间的一致性比水提取物更好。针对这些观察结果给出了可能的解释。尽管目前的文献表明路易波士茶水提取物的TPC和AOC存在直接相关性。但本研究显示出偏差,并强调了溶剂选择和分析方法作为确定TPC/AOC相关性以及随后对路易波士茶实际健康益处期望的重要因素的重要性。特别是,基于多种测定方法(TPC、FRAP和TEAC中的任意两种)的组合,可以准确识别未发酵和发酵样品,尤其是在使用甲醇作为溶剂的情况下。对测定数据的机器学习分析提供了与经典统计分析方法几乎相同的结果。这是关于用甲醇和水提取的路易波士茶的TPC和AOC的机器学习分析和比较的第一份报告,并强调了使用甲醇作为溶剂评估其AOC的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f310/8747650/abe02f8e5578/plants-11-00016-g001.jpg

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