Chemical Markers for Differentiating Yellow Prickly Pear (Opuntia ficus-indica) from Southern Greece: Insights from Physicochemical Parameters, Elemental Composition, Antioxidants, and Vitamins.

IF 4.2 2区 化学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Artemis P Louppis, Michael G Kontominas, Michalis S Constantinou, Ioanna S Kosma, Anastasia V Badeka, Georgios Stamatakos
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引用次数: 0

Abstract

This study presents an innovative approach to differentiate Southern Greek yellow prickly pear samples according to geographical origin based on physicochemical parameters, mineral composition, and bioactive compounds using advanced chemometrics. A total of 56 yellow prickly pear samples were collected from four distinct Greek regions (Crete, Paros, Symi, Peloponnese) during the 2019 and 2020 harvest seasons. A multi-platform analytical strategy was employed, combining classical physicochemical analyses and UV spectrophotometry for total antioxidant activity with cutting-edge techniques such as UPLC-MS/MS for precise quantification of vitamins and antioxidants, and ICP-MS for mineral profiling. In total, thirteen physicochemical parameters, nineteen macro-, micro-, and trace elements, nine vitamins, and seven antioxidants were identified and quantified. Application of MANOVA and Linear discriminant analysis (LDA) revealed that eight physicochemical parameters, ten mineral elements, and sixteen bioactive compounds played a crucial role in sample geographical differentiation. The classification success rates using the cross-validation method were 82.1% for physicochemical parameters, 75.0% for minerals, and an impressive 96.4% for vitamins and antioxidants highlighting the robust tool for the geographical differentiation of Southern Greek yellow prickly pears.

鉴别希腊南部黄刺梨(Opuntia ficus-indica)的化学标记:理化参数、元素组成、抗氧化剂和维生素的见解。
本研究提出了一种创新的方法来区分南希腊黄刺梨样品根据地理来源基于物理化学参数,矿物组成和生物活性化合物使用先进的化学计量学。在2019年和2020年的收获季节,从希腊四个不同的地区(克里特岛、帕罗斯岛、西米岛、伯罗奔尼撒岛)共收集了56个黄刺梨样本。采用多平台分析策略,结合经典的物理化学分析和紫外分光光度法测定总抗氧化活性,以及UPLC-MS/MS等尖端技术,用于精确定量维生素和抗氧化剂,以及ICP-MS用于矿物分析。共鉴定和定量了13个理化参数,19个宏量、微量和微量元素,9种维生素和7种抗氧化剂。利用方差分析和线性判别分析(LDA)发现,8种物化参数、10种矿物元素和16种生物活性化合物对样品的地理分异起重要作用。使用交叉验证方法对理化参数的分类成功率为82.1%,对矿物质的分类成功率为75.0%,对维生素和抗氧化剂的分类成功率为96.4%,突出了南希腊黄刺梨地理区分的强大工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecules
Molecules 化学-有机化学
CiteScore
7.40
自引率
8.70%
发文量
7524
审稿时长
1.4 months
期刊介绍: Molecules (ISSN 1420-3049, CODEN: MOLEFW) is an open access journal of synthetic organic chemistry and natural product chemistry. All articles are peer-reviewed and published continously upon acceptance. Molecules is published by MDPI, Basel, Switzerland. Our aim is to encourage chemists to publish as much as possible their experimental detail, particularly synthetic procedures and characterization information. There is no restriction on the length of the experimental section. In addition, availability of compound samples is published and considered as important information. Authors are encouraged to register or deposit their chemical samples through the non-profit international organization Molecular Diversity Preservation International (MDPI). Molecules has been launched in 1996 to preserve and exploit molecular diversity of both, chemical information and chemical substances.
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