Advances of Spectrometric Techniques in Food Analysis and Food Authentication Implemented with Chemometrics

Given the continuous consumer demand for products of high quality and specific origin, there is a great tendency toward the application of multiple instrumental techniques for the complete characterization of foodstuffs or related natural products. Spectrometric techniques usually offer a full and r...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
PCA
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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720 1 |a Karabagias, Ioannis K.  |4 edt 
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520 |a Given the continuous consumer demand for products of high quality and specific origin, there is a great tendency toward the application of multiple instrumental techniques for the complete characterization of foodstuffs or related natural products. Spectrometric techniques usually offer a full and rapid screenshot of a product's composition and properties by the determination of specific biomolecules such as sugars, minerals, polyphenols, volatile compounds, amino acids, and organic acids. The present Special Issue aimed firstly to enhance the advances of the application of spectrometric techniques such as gas chromatography coupled to mass spectrometry (GC-MS), inductively coupled plasma optical emission spectrometry (ICP-OES), isotope-ratio mass spectrometry (IRMS), nuclear magnetic resonance (NMR), Raman spectroscopy, or any other spectrometric technique, in the analysis of foodstuffs such as meat, milk, cheese, potatoes, vegetables, fruits/fruit juices, honey, olive oil, chocolate, and other natural products. An additional goal was to fill the gap between food composition/food properties/natural product properties and food/natural product authenticity, using supervised and nonsupervised chemometrics. 
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653 |a 16-O-methylcafestol 
653 |a adulteration 
653 |a antioxidant activities 
653 |a Arbutus unedo 
653 |a beekeepers' honey 
653 |a Caatinga 
653 |a caffeine 
653 |a characterization 
653 |a chemometrics 
653 |a coffee 
653 |a data bank 
653 |a data handling 
653 |a ergosterol 
653 |a feature variable 
653 |a fluorescence 
653 |a FTIR 
653 |a furfuryl alcohol 
653 |a glucan 
653 |a honey 
653 |a honey code 
653 |a honey variety 
653 |a HPTLC 
653 |a HS-SPME/GC-MS 
653 |a hyperspectral imaging 
653 |a inductively coupled plasma optical emission spectrometry (ICP-OES) 
653 |a jowl meat 
653 |a kahweol 
653 |a laser-induced breakdown spectroscopy 
653 |a LC-HRMS 
653 |a magnetic resonance spectroscopy 
653 |a meat 
653 |a meat adulteration 
653 |a metabolomics 
653 |a mid-infrared spectroscopy 
653 |a minced pork 
653 |a minerals 
653 |a multivariate regression 
653 |a multiway analysis 
653 |a mushroom 
653 |a native 
653 |a oilseeds 
653 |a parallel factor analysis (PARAFAC) 
653 |a partial least square regression 
653 |a PCA 
653 |a Pleurotus 
653 |a Pleurotus mushrooms 
653 |a prediction 
653 |a rapeseed oil 
653 |a spectrometry 
653 |a spectroscopy 
653 |a tetramethylsilane (TMS) 
653 |a validation studies 
653 |a visualization 
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