Influence of different visible LED light sources on photo-degradation of red cabbage extract

IF 1.6 4区 农林科学 International Journal of Food Engineering Pub Date : 2023-04-24 DOI:10.1515/ijfe-2022-0249
Sirinapa Thasak, Camella Anne Arellano, Tabkrich Khumsap, L. T. Nguyen
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Abstract

Abstract This study elucidated the effect of wavelength, radiant fluence, and pH on the photobleaching of red cabbage extracts (RCE). Light-induced degradation of anthocyanins (ACN), color, total phenolic content (TPC), and antioxidant activity of RCE was evaluated. Blue light was found to have the most detrimental effect on red cabbage ACN, followed by white and green lights. The photo-degradation increased with pH and radiant fluence. The highest loss of ACN was estimated at pH 7, being about 91 %, 76 %, and 54 % under blue, white, and green light, respectively. Color attributes and antioxidant activity of the samples showed similar trends. The photo-degradation quantum yield was higher under blue light (pH 3: 0.46 × 10−4 mol einstein−1; pH 5: 4.5 × 10−4 mol einstein−1; pH 7: 4.5 × 10−4 mol einstein−1) than under other irradiations. The findings can help industrial processors devise suitable strategies to minimize the degradation of ACN under LED illumination.
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不同可见LED光源对红甘蓝提取物光降解的影响
摘要本文研究了波长、辐射通量和pH对红甘蓝提取物(RCE)光漂白的影响。光诱导降解的花青素(ACN),颜色,总酚含量(TPC)和抗氧化活性的RCE进行了评估。研究发现,蓝光对红甘蓝ACN的危害最大,其次是白光和绿光。光降解随pH和辐射通量的增加而增加。在pH为7时,ACN损失最大,在蓝光、白光和绿光下分别约为91 %、76 %和54 %。样品的颜色属性和抗氧化活性表现出相似的变化趋势。蓝光下光降解量子产率较高(pH 3: 0.46 × 10−4 mol einstein−1;pH: 4.5 × 10−4 mol 爱因斯坦−1;pH 7.0: 4.5 × 10−4 mol 爱因斯坦−1)。这些发现可以帮助工业处理器设计合适的策略来最小化LED照明下ACN的退化。
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来源期刊
International Journal of Food Engineering
International Journal of Food Engineering 农林科学-食品科技
CiteScore
3.20
自引率
0.00%
发文量
52
审稿时长
3.8 months
期刊介绍: International Journal of Food Engineering is devoted to engineering disciplines related to processing foods. The areas of interest include heat, mass transfer and fluid flow in food processing; food microstructure development and characterization; application of artificial intelligence in food engineering research and in industry; food biotechnology; and mathematical modeling and software development for food processing purposes. Authors and editors come from top engineering programs around the world: the U.S., Canada, the U.K., and Western Europe, but also South America, Asia, Africa, and the Middle East.
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