Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization.

IF 2.3 3区 化学 Q3 CHEMISTRY, ANALYTICAL Journal of Analytical Methods in Chemistry Pub Date : 2023-10-26 eCollection Date: 2023-01-01 DOI:10.1155/2023/1465773
Trung Nguyen-Quang, Minh Bui-Quang, Thinh Pham-Van, Nhan Le-Van, Khanh Nguyen-Hoang, Duc Nguyen-Minh, Tinh Phung-Thi, Anh Le-Viet, Duc Tran-Ha Minh, Dat Nguyen-Tien, Tuan-Anh Hoang-Le, Minh Truong-Ngoc
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Abstract

Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including 7Li, 11B, 24Mg, 27Al, 44Ca, 48Ti, 51V, 52Cr, 55Mn, 57Fe, 60Ni, 63Cu, 66Zn, 93Nb, 98Mo, 111Cd, 115In, 121Sb, 138Ba, 208Pb, and 209Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts.

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基于ICP/MS数据的统计算法对越南腰果(Anacardium occidentale L.)产品的分类:食品分类研究。
指纹技术利用了食品样品独特的化学和物理特性,已成为食品认证和可追溯性的一种很有前途的方法。最近的研究表明,通过使用指纹方法,如应用于微量元素和同位素比率的多元统计分析技术,在食品认证方面取得了重大进展。然而,还需要进一步的研究来优化这些方法,并确保它们在现实应用中的有效性和可靠性。本研究采用电感耦合等离子体质谱法(ICP-MS)测定了5个品牌300个腰果样品中21种元素的含量。采用主成分分析(PCA)等多元统计方法对所获得的数据进行分析,并确定腰果的来源。虽然腰果在许多国家广泛销售,但尚未使用通用方法来区分这些坚果的来源。我们的研究代表了确定在越南销售的商业腰果的地理来源的第一步。分析表明,5个品牌的腰果样品中,7Li、11B、24Mg、27Al、44Ca、48Ti、51V、52Cr、55Mn、57Fe、60Ni、63Cu、66Zn、93Nb、98Mo、111Cd、115In、121Sb、138Ba、208Pb和209Bi等40种分析元素的平均值存在显著差异。主成分分析表明,腰果样品可以根据其原始位置进行准确分类。这项研究是未来研究的先决条件,包括将元素组成分析与统计分类方法相结合,以准确确定腰果种源,其中包括识别腰果原始鉴别的关键标记。
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来源期刊
Journal of Analytical Methods in Chemistry
Journal of Analytical Methods in Chemistry CHEMISTRY, ANALYTICAL-ENGINEERING, CIVIL
CiteScore
4.80
自引率
3.80%
发文量
79
审稿时长
6-12 weeks
期刊介绍: Journal of Analytical Methods in Chemistry publishes papers reporting methods and instrumentation for chemical analysis, and their application to real-world problems. Articles may be either practical or theoretical. Subject areas include (but are by no means limited to): Separation Spectroscopy Mass spectrometry Chromatography Analytical Sample Preparation Electrochemical analysis Hyphenated techniques Data processing As well as original research, Journal of Analytical Methods in Chemistry also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.
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