Enhancing food authentication screening through the integration of chemometrics and ambient ionization mass spectrometry: A comprehensive review

被引:7
作者
Augusti, Rodinei [1 ,3 ]
Fulgencio, Ana Carolina Costa [1 ]
Nogueira, Henrique Martins [1 ]
Gomes, Julia Celia Lima [1 ]
dos Santos, Larissa Batista [1 ]
de Macedo, Adriana Nori [1 ]
Porto, Brenda Lee Simas [1 ]
Sena, Marcelo Martins [1 ,2 ]
Almeida, Mariana Ramos [1 ]
机构
[1] Univ Fed Minas Gerais UFMG, Dept Quim, Inst Ciencias Exatas ICEx, BR-31270901 Belo Horizonte, MG, Brazil
[2] Inst Nacl Ciencia & Tecnol Bioanalit, BR-13083970 Campinas, SP, Brazil
[3] Univ Fed Minas Gerais, Dept Quim, ICEx, BR-31270901 Belo Horizonte, MG, Brazil
关键词
Multivariate analysis; Food adulteration; Paper-spray mass spectrometry; Discriminant analysis; Food traceability; Forensic analysis; SONIC-SPRAY IONIZATION; SQUARES DISCRIMINANT-ANALYSIS; MULTIVARIATE DATA-ANALYSIS; PAPER SPRAY; ELECTROSPRAY-IONIZATION; ATMOSPHERIC-PRESSURE; RAPID DETECTION; QUALITY-CONTROL; IN-VIVO; DART-MS;
D O I
10.1016/j.tifs.2024.104480
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Background: The global issue of food authentication and fraud detection involves deliberately misrepresenting products for financial gain. Unfortunately, current technologies do not guarantee protection for consumers and society from these deceptive practices. Therefore, rapid detection and characterization of food frauds through identifying their markers and chemical patterns is important. Ambient ionization techniques in mass spectrometry (AIMS) directly analyze samples under ambient conditions, requiring minimal sample preparation while ensuring heightened sensitivity and selectivity. Integrating chemometrics with these innovative MS approaches holds significant potential for application in food authentication screening. Scope and approach: The novelty of this work lies in critically evaluating the application of AIMS combined with chemometrics in food authentication screening. This combination is positioned as an innovative strategy with enormous potential for enhancing rapid fraud detection. This sets the stage for a comprehensive exploration of AIMS, mainly direct analysis in real time (DART) and paper spraying methods, and their critical evaluation in the context of chemometric applications, covering the evolution from early methods to recent advancements. Key findings: By critically analyzing the literature, this review enhances the comprehension of the effectiveness of chemometrics in extracting chemical information from MS data. This article thus emphasizes the need to progress beyond initial exploratory analyses employing only unsupervised methods. The key takeaways include advocating for best practices, such as validating all supervised models with an external set of test samples, avoiding excessive use of latent variables to prevent overfitting, and conducting thorough spectral interpretation to identify chemical markers of fraud or authenticity.
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页数:14
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