The role of food industries in sustainability transition: a review

Prasanna, S.; Verma, Praveen; Bodh, Suman

doi:10.1007/s10668-024-04642-1

Cited by 9 publications

(1 citation statement)

References 90 publications

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“…These factors have also presented greater challenges to the global food system. Real-world issues such as inadequate food supply, contamination residues in food, sustainability and environmental impacts, and urgent human nutritional and health demands are driving future food technological innovations and transformations in the food industry (Prasanna et al, 2024). At present, a new wave of industrial revolution is accelerating the reconstruction of the global food innovation landscape, reshaping the structure of the food industry, and integrating multiple technologies and disciplines, including systems biology, the Internet of Things, artificial intelligence (AI), medical health, and perceptual science (Hassoun et al, 2024).…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing food science with mass spectrometry imaging: A comprehensive review of applications and challenges

Shen,

Wang,

Wang

et al. 2024

Comp Rev Food Sci Food Safe

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Food science encounters increasing complexity and challenges, necessitating more efficient, accurate, and sensitive analytical techniques. Mass spectrometry imaging (MSI) emerges as a revolutionary tool, offering more molecular‐level insights. This review delves into MSI's applications and challenges in food science. It introduces MSI principles and instruments such as matrix‐assisted laser desorption/ionization, desorption electrospray ionization, secondary ion mass spectrometry, and laser ablation inductively coupled plasma mass spectrometry, highlighting their application in chemical composition analysis, variety identification, authenticity assessment, endogenous substance, exogenous contaminant and residue analysis, quality control, and process monitoring in food processing and food storage. Despite its potential, MSI faces hurdles such as the complexity and cost of instrumentation, complexity in sample preparation, limited analytical capabilities, and lack of standardization of MSI for food samples. While MSI has a wide range of applications in food analysis and can provide more comprehensive and accurate analytical results, challenges persist, demanding further research and solutions. The future development directions include miniaturization of imaging devices, high‐resolution and high‐speed MSI, multiomics and multimodal data fusion, as well as the application of data analysis and artificial intelligence. These findings and conclusions provide valuable references and insights for the field of food science and offer theoretical and methodological support for further research and practice in food science.

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Section: Introductionmentioning

confidence: 99%