Advances of Spectrometric Techniques in Food Analysis and Food Authentication Implemented with Chemometrics
Karabagias, Ioannis K. (editor)
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.
Keywordscharacterization; beekeepers’ honey; minerals; inductively coupled plasma optical emission spectrometry (ICP-OES); chemometrics; HPTLC; LC–HRMS; PCA; metabolomics; Arbutus unedo; antioxidant activities; honey variety; honey code; HS-SPME/GC-MS; data handling; data bank; fluorescence; rapeseed oil; multiway analysis; parallel factor analysis (PARAFAC); multivariate regression; caffeine; 16-O-methylcafestol; kahweol; furfuryl alcohol; tetramethylsilane (TMS); magnetic resonance spectroscopy; validation studies; hyperspectral imaging; jowl meat; minced pork; meat adulteration; visualization; oilseeds; Caatinga; native; spectrometry; honey; adulteration; feature variable; partial least square regression; laser-induced breakdown spectroscopy; mushroom; Pleurotus; glucan; ergosterol; mid-infrared spectroscopy; FTIR; spectroscopy; prediction; coffee; meat; Pleurotus mushrooms
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Publication date and placeBasel, Switzerland, 2020
Research & information: general