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Trends in food science & technology, 2024-05, Vol.147, p.104397, Article 104397
2024
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Autor(en) / Beteiligte
Titel
Challenges and opportunities in developing low glycemic index foods with white kidney bean α-amylase inhibitor
Ist Teil von
  • Trends in food science & technology, 2024-05, Vol.147, p.104397, Article 104397
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2024
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • The prevalence of diabetes and obesity is increasing globally, causing a serious threat to human health. Regarding starch blocking, the α-amylase inhibitor (α-AI) of white kidney bean (Phaseolus vulgaris L.) stands out as a naturally abundant active substance. It reduces food glycemic index (GI) by inhibiting mammalian α-amylase activity and has been proven to be effective in controlling metabolic diseases such as diabetes and hyperlipidemia. This review focuses on the inhibition mechanism of white kidney bean α-AI, constructs an α-AI detection system in actual food, and analyzes the challenges of the application of the inhibitors in food, including the influence of thermal processing on the structure and functional properties of α-AI. White kidney bean α-AI can be used as a supplement to lower the dietary GI. Adding α-AI during food thermal processing may contribute to the formation of disulfide bonds, thereby improving the inhibition activity of α-amylase. In addition, white kidney bean α-AI can also control body weight and regulate intestinal flora. This study provides theoretical and technical guidance for further utilization or development of commercial low GI food using white kidney bean α-AI. •Inhibition mechanism and functional characteristics of α-AI are summarized.•A holistic framework of α-AI detection in practical food applications is proposed.•Discuss the structural and functional changes of α-AI during thermal processing.•The latest developments of α-AI in low glycemic index food are addressed.•Future challenges require clarifying inhibition effect in thermal food processing.
Sprache
Englisch
Identifikatoren
ISSN: 0924-2244
eISSN: 1879-3053
DOI: 10.1016/j.tifs.2024.104397
Titel-ID: cdi_elsevier_sciencedirect_doi_10_1016_j_tifs_2024_104397

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