Food Quality Analysis
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Food Quality Analysis
Applications of Analytical Methods Coupled With Artificial Intelligence
Shukla, Ashutosh Kumar
Elsevier Science & Technology
11/2022
222
Mole
Inglês
9780323959889
15 a 20 dias
Descrição não disponível.
1. Importance of food quality analysis (in relation to food safety and human health and Covid-19 in particular) 2. FTIR spectroscopy combined with multivariate analysis in quality analysis of fats and oils 3. Fluorescence spectroscopy for beer quality analysis 4. Raman spectroscopy combined with multivariate analysis in quality analysis of food and pharmaceutical materials 5. Chromatographic methods for the analysis of oils and fats 6. Gas chromatography and multivariate analysis for wheat flours 7. Electrochemical sensors coupled with machine learning for food safety and quality inspection
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
?Acid number; Algorithms; Analysis; Beer; Bitterness; COVID-19; Characterization; Chemometrics; Deep learning; Electrochemical biosensors; FTIR spectra; Fats and oils; Fats and oils stability; Fluorescence spectroscopy; Food analysis; Food authenticity; Food contaminants; Food quality; Food safety; Food-borne pathogens; Fourier transform Raman spectroscopy; Gas chromatography; Human health; Machine learning; Micro-Raman spectroscopy; Multivariate analysis; Near infrared Raman spectroscopy; Phenolic compounds; Quality; Raman imaging; Spatial offset Raman spectroscopy; Storage analysis; Surface-enhanced Raman spectroscopy; Volatile organic compounds; Wheat flour
1. Importance of food quality analysis (in relation to food safety and human health and Covid-19 in particular) 2. FTIR spectroscopy combined with multivariate analysis in quality analysis of fats and oils 3. Fluorescence spectroscopy for beer quality analysis 4. Raman spectroscopy combined with multivariate analysis in quality analysis of food and pharmaceutical materials 5. Chromatographic methods for the analysis of oils and fats 6. Gas chromatography and multivariate analysis for wheat flours 7. Electrochemical sensors coupled with machine learning for food safety and quality inspection
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
?Acid number; Algorithms; Analysis; Beer; Bitterness; COVID-19; Characterization; Chemometrics; Deep learning; Electrochemical biosensors; FTIR spectra; Fats and oils; Fats and oils stability; Fluorescence spectroscopy; Food analysis; Food authenticity; Food contaminants; Food quality; Food safety; Food-borne pathogens; Fourier transform Raman spectroscopy; Gas chromatography; Human health; Machine learning; Micro-Raman spectroscopy; Multivariate analysis; Near infrared Raman spectroscopy; Phenolic compounds; Quality; Raman imaging; Spatial offset Raman spectroscopy; Storage analysis; Surface-enhanced Raman spectroscopy; Volatile organic compounds; Wheat flour