Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches
In today's global food market, ensuring both consumer satisfaction and the highest standards of safety is paramount. Food quality analysis covers chemical composition, physical properties, taste evaluation, and even traceability. Traditional methods are often slow, expensive, and eco-unfriendly due...
שמור ב:
| פורמט: | Online |
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| שפה: | אנגלית |
| יצא לאור: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| נושאים: | |
| גישה מקוונת: | ONIX_20231130_9783036585802_98 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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| _version_ | 1869523605599027200 |
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| collection | Directory of Open Access Books |
| description | In today's global food market, ensuring both consumer satisfaction and the highest standards of safety is paramount. Food quality analysis covers chemical composition, physical properties, taste evaluation, and even traceability. Traditional methods are often slow, expensive, and eco-unfriendly due to their destructive nature. Here's the exciting part! Advanced spectroscopy techniques offer solutions. Imagine using non-destructive methods like X-rays, hyperspectral imaging, NMR, and Raman—quick, cost-effective, and eco-friendly, using less solvent. Now, let's demystify chemometrics—it extracts hidden info from spectra or image data, creating models for both qualitative and quantitative food analysis. This reprint presents recent advances in spectroscopy and chemometrics, focusing on their role in food analysis, quality evaluation, safety, and practical industry use. It's all about ensuring safe, delicious, and trustworthy food. Whether you're a curious consumer, food enthusiast, or industry insider, this reprint unveils cutting-edge methods for maintaining top food standards. With advanced spectroscopy and chemometrics, we're on track to boost consumer confidence in the food we love. |
| format | Online |
| id | doab-20.500.12854ir-128646 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1286462024-04-09T23:15:19Z Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches Kharbach, Mourad Urpelainen, Samuli hyperspectral imaging pesticide residue table grape deep learning non-destructive detection Salvia spp. GC/Q-ToF analysis chemometrics quality evaluation chemical fingerprints 1H-NMR carbohydrates fruits PCA LDA laser-induced breakdown spectroscopy brown rice flour adulteration time-resolved spectra machine learning red pepper powder multivariate analysis moisture adjustment Theobroma cacao L. dry matter fermentation index protein content meliponine honey physicochemical properties biomes antioxidant potential mineral profile mass spectrometry analysis spatial frequency domain imaging (SFDI) optical properties absorption reduced scattering long short-term memory (LSTM) FTIR mid-infrared caprine milk milk absorbance spectra variance components sources of variation Fritillaria thunbergii heavy metals variable selection food analysis food authenticity food chemicals spectroscopy techniques n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues In today's global food market, ensuring both consumer satisfaction and the highest standards of safety is paramount. Food quality analysis covers chemical composition, physical properties, taste evaluation, and even traceability. Traditional methods are often slow, expensive, and eco-unfriendly due to their destructive nature. Here's the exciting part! Advanced spectroscopy techniques offer solutions. Imagine using non-destructive methods like X-rays, hyperspectral imaging, NMR, and Raman—quick, cost-effective, and eco-friendly, using less solvent. Now, let's demystify chemometrics—it extracts hidden info from spectra or image data, creating models for both qualitative and quantitative food analysis. This reprint presents recent advances in spectroscopy and chemometrics, focusing on their role in food analysis, quality evaluation, safety, and practical industry use. It's all about ensuring safe, delicious, and trustworthy food. Whether you're a curious consumer, food enthusiast, or industry insider, this reprint unveils cutting-edge methods for maintaining top food standards. With advanced spectroscopy and chemometrics, we're on track to boost consumer confidence in the food we love. 2023-11-30T20:40:00Z 2023-11-30T20:40:00Z 2023 book ONIX_20231130_9783036585802_98 9783036585802 9783036585819 https://directory.doabooks.org/handle/20.500.12854/128646 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8098 https://mdpi.com/books/pdfview/book/8098 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8581-9 10.3390/books978-3-0365-8581-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036585802 9783036585819 204 Basel open access |
| spellingShingle | hyperspectral imaging pesticide residue table grape deep learning non-destructive detection Salvia spp. GC/Q-ToF analysis chemometrics quality evaluation chemical fingerprints 1H-NMR carbohydrates fruits PCA LDA laser-induced breakdown spectroscopy brown rice flour adulteration time-resolved spectra machine learning red pepper powder multivariate analysis moisture adjustment Theobroma cacao L. dry matter fermentation index protein content meliponine honey physicochemical properties biomes antioxidant potential mineral profile mass spectrometry analysis spatial frequency domain imaging (SFDI) optical properties absorption reduced scattering long short-term memory (LSTM) FTIR mid-infrared caprine milk milk absorbance spectra variance components sources of variation Fritillaria thunbergii heavy metals variable selection food analysis food authenticity food chemicals spectroscopy techniques n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches |
| title | Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches |
| title_full | Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches |
| title_fullStr | Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches |
| title_full_unstemmed | Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches |
| title_short | Advanced Spectroscopy Techniques in Food Analysis: Qualitative and Quantitative Chemometric Approaches |
| title_sort | advanced spectroscopy techniques in food analysis qualitative and quantitative chemometric approaches |
| topic | hyperspectral imaging pesticide residue table grape deep learning non-destructive detection Salvia spp. GC/Q-ToF analysis chemometrics quality evaluation chemical fingerprints 1H-NMR carbohydrates fruits PCA LDA laser-induced breakdown spectroscopy brown rice flour adulteration time-resolved spectra machine learning red pepper powder multivariate analysis moisture adjustment Theobroma cacao L. dry matter fermentation index protein content meliponine honey physicochemical properties biomes antioxidant potential mineral profile mass spectrometry analysis spatial frequency domain imaging (SFDI) optical properties absorption reduced scattering long short-term memory (LSTM) FTIR mid-infrared caprine milk milk absorbance spectra variance components sources of variation Fritillaria thunbergii heavy metals variable selection food analysis food authenticity food chemicals spectroscopy techniques n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | hyperspectral imaging pesticide residue table grape deep learning non-destructive detection Salvia spp. GC/Q-ToF analysis chemometrics quality evaluation chemical fingerprints 1H-NMR carbohydrates fruits PCA LDA laser-induced breakdown spectroscopy brown rice flour adulteration time-resolved spectra machine learning red pepper powder multivariate analysis moisture adjustment Theobroma cacao L. dry matter fermentation index protein content meliponine honey physicochemical properties biomes antioxidant potential mineral profile mass spectrometry analysis spatial frequency domain imaging (SFDI) optical properties absorption reduced scattering long short-term memory (LSTM) FTIR mid-infrared caprine milk milk absorbance spectra variance components sources of variation Fritillaria thunbergii heavy metals variable selection food analysis food authenticity food chemicals spectroscopy techniques n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20231130_9783036585802_98 |