Recent advances in non-invasive techniques for assessing food quality: Applications and innovations
The global concern for ensuring the safety and authenticity of high-quality food necessitates continuous advancements in food assessment technologies. While conventional methods of food assessment are accurate and precise, they are also laborious, destructive, time-consuming, energy-intensive, chemi...
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Academic Press
2024
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my.upm.eprints.1146522025-01-23T01:17:52Z http://psasir.upm.edu.my/id/eprint/114652/ Recent advances in non-invasive techniques for assessing food quality: Applications and innovations Jimoh, Kabiru Ayobami Hashim, Norhashila The global concern for ensuring the safety and authenticity of high-quality food necessitates continuous advancements in food assessment technologies. While conventional methods of food assessment are accurate and precise, they are also laborious, destructive, time-consuming, energy-intensive, chemical-demanding, and less eco-friendly. Their reliability diminishes when dealing with large numbers of food samples. This chapter explores recent advances in non-invasive technologies for food quality assessment, including spectroscopy, optical imaging, and e-sensors. Enhanced by artificial intelligence (AI), these technologies have shown remarkable capabilities in rapid and accurate food identification, authentication, physical appraisal, early disease detection, chemical analysis, and biochemical evaluation. As a result, non-invasive technology holds the potential to revolutionize food quality assessment and assure food safety at every stage of the food supply chain. Academic Press 2024 Book Section PeerReviewed text en http://psasir.upm.edu.my/id/eprint/114652/1/114652.pdf Jimoh, Kabiru Ayobami and Hashim, Norhashila (2024) Recent advances in non-invasive techniques for assessing food quality: Applications and innovations. In: Advances in Food and Nutrition Research. Academic Press, pp. 1-52. ISBN 9780124113114; eISBN: 9780080915692 (In Press) https://linkinghub.elsevier.com/retrieve/pii/S1043452624001001 10.1016/bs.afnr.2024.09.006 |
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The global concern for ensuring the safety and authenticity of high-quality food necessitates continuous advancements in food assessment technologies. While conventional methods of food assessment are accurate and precise, they are also laborious, destructive, time-consuming, energy-intensive, chemical-demanding, and less eco-friendly. Their reliability diminishes when dealing with large numbers of food samples. This chapter explores recent advances in non-invasive technologies for food quality assessment, including spectroscopy, optical imaging, and e-sensors. Enhanced by artificial intelligence (AI), these technologies have shown remarkable capabilities in rapid and accurate food identification, authentication, physical appraisal, early disease detection, chemical analysis, and biochemical evaluation. As a result, non-invasive technology holds the potential to revolutionize food quality assessment and assure food safety at every stage of the food supply chain. |
format |
Book Section |
author |
Jimoh, Kabiru Ayobami Hashim, Norhashila |
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Jimoh, Kabiru Ayobami Hashim, Norhashila Recent advances in non-invasive techniques for assessing food quality: Applications and innovations |
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Jimoh, Kabiru Ayobami Hashim, Norhashila |
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Jimoh, Kabiru Ayobami |
title |
Recent advances in non-invasive techniques for assessing food quality: Applications and innovations |
title_short |
Recent advances in non-invasive techniques for assessing food quality: Applications and innovations |
title_full |
Recent advances in non-invasive techniques for assessing food quality: Applications and innovations |
title_fullStr |
Recent advances in non-invasive techniques for assessing food quality: Applications and innovations |
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Recent advances in non-invasive techniques for assessing food quality: Applications and innovations |
title_sort |
recent advances in non-invasive techniques for assessing food quality: applications and innovations |
publisher |
Academic Press |
publishDate |
2024 |
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http://psasir.upm.edu.my/id/eprint/114652/1/114652.pdf http://psasir.upm.edu.my/id/eprint/114652/ https://linkinghub.elsevier.com/retrieve/pii/S1043452624001001 |
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