JOURNAL ARTICLE
Melatonin extends shelf life in postharvest okra via delaying fruit softening and reducing weight loss.
Published In: Journal of the Science of Food & Agriculture, 2024, v. 104, n. 15. P. 9506 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Shi, Liyu; Cao, Mengze; Lu, Xiaotian; Dong, Wanqi; Lan, Qingqing; Chen, Wei; Yang, Zhenfeng; Li, Xuewen; Cao, Shifeng 3 of 3
Abstract
BACKGROUND: Melatonin, a hormone present in animals and some plants, has garnered attention for its potential in preserving harvested produce. Softening due to changes in cell wall composition and wilting caused by weight loss are the major reasons for the loss of commercial value in postharvest okra. This study aimed to evaluate the impact of melatonin on the softening and weight loss of postharvest okra. RESULTS: The results revealed that the application of melatonin had a significant influence on the maintenance of fruit firmness by inhibiting the breakdown and dissolution of cell wall polysaccharides by suppressing the expression of specific genes responsible for cell wall degradation in okra. Conversely, melatonin treatment positively influenced the expression of genes involved in the synthesis of cell wall components. Furthermore, the treatment exhibited notable benefits in reducing weight loss in okra, which was accomplished by promoting the closure of stomata – the tiny pores on the surface of the fruit. CONCLUSION: Melatonin could serve as a novel approach to reduce water loss, delay fruit softening and extend the shelf life of okra. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Science of Food & Agriculture. 2024/12, Vol. 104, Issue 15, p9506
- Document Type:Article
- Subject Area:Agriculture and Agribusiness
- Publication Date:2024
- ISSN:0022-5142
- DOI:10.1002/jsfa.13773
- Accession Number:180681254
- Copyright Statement:Copyright of Journal of the Science of Food & Agriculture is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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