2022
DOI: 10.3390/foods11233940
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An Overview on the Application of Chemometrics Tools in Food Authenticity and Traceability

Abstract: The use of advanced chemometrics tools in food authenticity research is crucial for managing the huge amount of data that is generated by applying state-of-the-art analytical methods such as chromatographic, spectroscopic, and non-targeted fingerprinting approaches. Thus, this review article provides description, classification, and comparison of the most important statistical techniques that are commonly employed in food authentication and traceability, including methods for exploratory data analysis, discrim… Show more

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Cited by 25 publications
(7 citation statements)
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“…This analysis explains the maximum variability in the response within the context of linear regression . PLSR models can be prone to overfitting, especially when the number of latent variables/components is not properly chosen . To overcome this issue, the number of latent variables/components required to build the PLSR model is carefully chosen, as indicated in Figure .…”
Section: Resultsmentioning
confidence: 99%
“…This analysis explains the maximum variability in the response within the context of linear regression . PLSR models can be prone to overfitting, especially when the number of latent variables/components is not properly chosen . To overcome this issue, the number of latent variables/components required to build the PLSR model is carefully chosen, as indicated in Figure .…”
Section: Resultsmentioning
confidence: 99%
“…Unsupervised methods are based on the identification of sample interrelationships without prior information about class membership. [ 186 ] PCA reduces the dimensionality of the data by identifying the principal components (PC) with the most variance (e.g., PC1 and PC2). It does not utilize labels or user‐defined information but can be used as an exploratory type of analysis to visualize similarities and differences between groups of data.…”
Section: Chemometrics and Machine Learning For The Detection Of Mycot...mentioning
confidence: 99%
“…Additionally, artificial neural networks (ANNs) are supervised mathematical techniques that can be used to build data patterns. ANNs are capable of predicting categorical and quantitative variables [21].…”
Section: Preprocessing and Chemometricsmentioning
confidence: 99%