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基于特征分析和指纹识别方法的可可制品认证:地理、品种、农业和加工特征评估

Authentication of Cocoa Products Based on Profiling and Fingerprinting Approaches: Assessment of Geographical, Varietal, Agricultural and Processing Features.

作者信息

Sentellas Sonia, Saurina Javier

机构信息

Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, 08028 Barcelona, Spain.

Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Av. Prat de la Riba 171, Edifici Recerca (Gaudí), 08921 Santa Coloma de Gramenet, Spain.

出版信息

Foods. 2023 Aug 20;12(16):3120. doi: 10.3390/foods12163120.

DOI:10.3390/foods12163120
PMID:37628119
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10453789/
Abstract

Cocoa and its derivative products, especially chocolate, are highly appreciated by consumers for their exceptional organoleptic qualities, thus being often considered delicacies. They are also regarded as superfoods due to their nutritional and health properties. Cocoa is susceptible to adulteration to obtain illicit economic benefits, so strategies capable of authenticating its attributes are needed. Features such as cocoa variety, origin, fair trade, and organic production are increasingly important in our society, so they need to be guaranteed. Most of the methods dealing with food authentication rely on profiling and fingerprinting approaches. The compositional profiles of natural components -such as polyphenols, biogenic amines, amino acids, volatile organic compounds, and fatty acids- are the source of information to address these issues. As for fingerprinting, analytical techniques, such as chromatography, infrared, Raman, and mass spectrometry, generate rich fingerprints containing dozens of features to be used for discrimination purposes. In the two cases, the data generated are complex, so chemometric methods are usually applied to extract the underlying information. In this review, we present the state of the art of cocoa and chocolate authentication, highlighting the pros and cons of the different approaches. Besides, the relevance of the proposed methods in quality control and the novel trends for sample analysis are also discussed.

摘要

可可及其衍生产品,尤其是巧克力,因其卓越的感官品质而深受消费者喜爱,因此常被视为美味佳肴。由于其营养和健康特性,它们也被视为超级食品。可可容易被掺假以获取非法经济利益,因此需要能够验证其属性的策略。可可品种、产地、公平贸易和有机生产等特征在我们的社会中越来越重要,因此需要得到保障。大多数处理食品认证的方法都依赖于剖析和指纹识别方法。天然成分(如多酚、生物胺、氨基酸、挥发性有机化合物和脂肪酸)的组成剖析是解决这些问题的信息来源。至于指纹识别,色谱法、红外光谱法、拉曼光谱法和质谱法等分析技术会生成包含数十个特征的丰富指纹,用于鉴别目的。在这两种情况下,生成的数据都很复杂,因此通常应用化学计量学方法来提取潜在信息。在这篇综述中,我们介绍了可可和巧克力认证的现状,突出了不同方法的优缺点。此外,还讨论了所提出的方法在质量控制中的相关性以及样品分析的新趋势。

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本文引用的文献

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Handheld and benchtop vis/NIR spectrometer combined with PLS regression for fast prediction of cocoa shell in cocoa powder.手持式和台式可见/近红外光谱仪与偏最小二乘回归结合,可快速预测可可粉中的可可壳。
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Rapid determination of the shell content in cocoa products using FT-NIR spectroscopy and chemometrics.使用傅里叶变换近红外光谱法和化学计量学快速测定可可制品中的壳含量。
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