Enhancing and Modelling of Tomato Phytochemicals With LED Storage Treatment for Improved Market Shelf Life

IF 2 3区农林科学 Q3 FOOD SCIENCE & TECHNOLOGY

Journal of Food Processing and Preservation Pub Date : 2025-07-22 DOI:10.1155/jfpp/6611040

Ubong David Offiong, Diyana Jamaludin, Juju Nakasha Jaafar, Nurulhuda Khairudin, Samsuzana Abd Aziz

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Abstract

Tomato phytochemicals are secondary metabolites that help prevent chronic diseases in humans. However, environmental and biological factors can degrade these compounds in market-displayed conditions, making preservation crucial. This study investigates the effects of light-emitting diodes (LEDs) of different wavelengths on tomato phytochemicals in a commercial environment. Tomatoes were pretreated for 5 days under four lighting conditions: 5 red:1 blue (5R:1B), 5 blue:1 red (5B:1R), white LEDs and darkness (control). They were then transferred to a market setting for phytochemical analysis. Results showed significant increases in ascorbic acid: 25% under 5R:1B and 11.7% under white LEDs. Total carotenoids increased by 60.3% (5R:1B), 36.8% (5B:1R) and 35.1% (white LEDs). Phenolic concentrations rose by 36.8% under white LEDs and 7.7% under 5R:1B LED, whilst flavonoid levels improved under white and 5B:1R LEDs. Quadratic regression modelling effectively captured phytochemical changes over time, proving more accurate than other regression models in predicting trends and offering superior insights for optimising LED use in postharvest handling. These findings highlight the potential of LED treatments to preserve phytochemical quality, enhance consumer health and optimise market strategies for increased profitability.

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LED储存处理对番茄植物化学物质的增强和建模，以提高市场保质期

番茄植物化学物质是次生代谢物，有助于预防人类慢性疾病。然而，环境和生物因素可以在市场展示条件下降解这些化合物，因此保存至关重要。本研究探讨了不同波长的发光二极管（led）在商业环境下对番茄植物化学物质的影响。番茄在4种光照条件下预处理5天：5红1蓝（5R:1B）， 5蓝1红（5B:1R），白光led和黑暗（对照）。然后将它们转移到市场环境中进行植物化学分析。结果显示抗坏血酸显著增加：5R:1B下增加25%，白光led下增加11.7%。类胡萝卜素总量分别增加60.3% （5R:1B）、36.8% （5B:1R）和35.1%（白光led）。在白光和5R:1B LED下，酚类浓度分别上升了36.8%和7.7%，而在白光和5B:1R LED下，类黄酮浓度有所提高。二次回归模型有效地捕获了植物化学随时间的变化，证明在预测趋势方面比其他回归模型更准确，并为优化LED在采收后处理中的使用提供了卓越的见解。这些发现突出了LED处理在保持植物化学质量、增强消费者健康和优化市场策略以提高盈利能力方面的潜力。

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来源期刊

Journal of Food Processing and Preservation 工程技术-食品科技

CiteScore

5.30

自引率

12.00%

发文量

1000

审稿时长

2.3 months

期刊介绍： The journal presents readers with the latest research, knowledge, emerging technologies, and advances in food processing and preservation. Encompassing chemical, physical, quality, and engineering properties of food materials, the Journal of Food Processing and Preservation provides a balance between fundamental chemistry and engineering principles and applicable food processing and preservation technologies. This is the only journal dedicated to publishing both fundamental and applied research relating to food processing and preservation, benefiting the research, commercial, and industrial communities. It publishes research articles directed at the safe preservation and successful consumer acceptance of unique, innovative, non-traditional international or domestic foods. In addition, the journal features important discussions of current economic and regulatory policies and their effects on the safe and quality processing and preservation of a wide array of foods.