2019
DOI: 10.1007/s12161-019-01573-w
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Recent Progress in Rapid Analyses of Vitamins, Phenolic, and Volatile Compounds in Foods Using Vibrational Spectroscopy Combined with Chemometrics: a Review

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Cited by 47 publications
(24 citation statements)
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“…Most of these applications are based on the use of vibrational spectroscopy methods (near infrared (NIR), mid infrared (MIR), and Raman, visible (VIS)) in a wide range of samples (e.g., food ingredients, natural products, crops, animal and plant tissues, medical and pharmaceutical applications; etc.) [9][10][11][12][13]. The number of references using words such as "infrared", "NIR", "Raman", "MIR", "hyperspectral", "green analytical methods", "chemometrics" and "multivariate data analysis" [9][10][11][12][13][14][15][16][17], are evidence of this steady increase in the number of applications of these analytical methods.…”
Section: Introductionmentioning
confidence: 99%
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“…Most of these applications are based on the use of vibrational spectroscopy methods (near infrared (NIR), mid infrared (MIR), and Raman, visible (VIS)) in a wide range of samples (e.g., food ingredients, natural products, crops, animal and plant tissues, medical and pharmaceutical applications; etc.) [9][10][11][12][13]. The number of references using words such as "infrared", "NIR", "Raman", "MIR", "hyperspectral", "green analytical methods", "chemometrics" and "multivariate data analysis" [9][10][11][12][13][14][15][16][17], are evidence of this steady increase in the number of applications of these analytical methods.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, vibrational spectroscopy has been also considered for its potential as a high throughput phenotyping tool in both animals and plants, where novel applications related with plant breeding and selection, plant nutrition and physiology have been reported in the last 20 years [9][10][11][12][13][14][15]. More recently, vibrational spectroscopy (e.g., NIR, MIR, Raman and hyperspectral imaging systems) techniques have shown their ability to qualitatively (e.g., classifying, identifying, and monitoring) analyse several types of samples (e.g., wine, meat, coffee, condiments, etc.…”
Section: Introductionmentioning
confidence: 99%
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