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Germination behaviour, techno-functional characteristics, antinutrients, antioxidant activity and mineral profile of lucerne as influenced by germination regimes
Lucerne seeds ( Medicago sativa L.) were germinated at different time-temperature regimes (24, 28, and 32 °C for 24, 48, and 72 h). The effect of germination was evaluated on physicochemical properties, techno-functional characteristics, antinutrients, bioactive constituents, antioxidant activity, a...
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Published in: | Journal of food measurement & characterization 2021-04, Vol.15 (2), p.1796-1809 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Lucerne seeds (
Medicago sativa
L.) were germinated at different time-temperature regimes (24, 28, and 32 °C for 24, 48, and 72 h). The effect of germination was evaluated on physicochemical properties, techno-functional characteristics, antinutrients, bioactive constituents, antioxidant activity, and mineral profile of lucerne seeds to ascertain the best time-temperature regime for the germination. High germination capacity was observed in seeds germinated at 28 and 32 °C in comparison to 24 °C, however, lower germination losses were manifested at 28 °C. Time-temperature regime of 28 °C for 48 h was most effective for the germination of lucerne seeds. Germination at aforesaid conditions improved hydration properties, foaming capacity, and gelation ascribed to protein denaturation reflected as a change in the α-helix and β-sheets in ATR-FTIR spectra of germinated flours. Furthermore, reduction in tannins (32.91%), lectin (100%), and trypsin inhibitor activity (67.42%) were observed. Increased DPPH∙ RSA (6.90%), ABTS∙+ RSA (10.51%), metal chelating activity (14.64%), and zinc concentration were also manifested with germinated flour. The optimal balance of techno-functionality, reduced antinutrients, and high antioxidant capacity of germinated flour (28 °C for 48 h) was validated using Principle Component Analysis. |
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ISSN: | 2193-4126 2193-4134 |
DOI: | 10.1007/s11694-020-00777-7 |