与天然提取物共着色剂增强浆果花青素的热稳定性

IF 1.6 4区 农林科学
Aichurok T. Mazhitova, Aidaikan M. Kasymakunova, N. Turker
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引用次数: 2

摘要

摘要研究了桔皮粉(MP)、橙皮粉(OP)和石榴皮粉(PP)对露莓、豆荚、红山楂、黑山楂和杨梅花青素共着色剂的适宜性。分光光度测量表明,共色素沉着引起了深色效应(ΔABSmax = 5-13)和深色偏移(Δλvis-max达13 nm)。在70 ~ 90℃的温度范围内对花青素的降解动力学进行了估计。参考样品和PP共着色样品的一级反应速率常数分别为0.45-2.93 min−1和0.30-2.00 min−1。参考样品t1/2值为3.90 ~ 25.7 h,共色素样品t1/2值为5.8 ~ 38.5 h。除黑山楂的Ea值较低外,共色素样品的Ea值(49.16 ~ 77.77 kJ/mol)高于参比样品(41.82 ~ 68.75 kJ/mol)。热力学参数(焓、自由能和熵)的评估表明,共着色对花青素的热处理有积极的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal stability enhancement of berry anthocyanins by co-pigmentation with extracts from natural sources
Abstract The suitability of mandarin (MP), orange (OP) and pomegranate peel powders (PP) for co-pigmentation of dewberry, viburnum, red hawthorn, black hawthorn, and barberry anthocyanins was investigated. Spectrophotometric measurements indicated co-pigmentation causing both a hyperchromic effect (ΔABSmax = 5–13) and bathochromic shift (Δλvis-max up to 13 nm). The degradation kinetics of anthocyanins were estimated at temperatures ranging from 70 to 90 °C. First-order reactions with rate constants of 0.45–2.93 min−1 and 0.30–2.00 min−1 were observed for the reference and PP co-pigmented samples, respectively. The t1/2 values were 3.90–25.7 h for the reference and 5.8–38.5 h for the co-pigmented samples. The activation energy (Ea) values were higher in co-pigmented samples (49.16–77.77 kJ/mol) than in reference samples (41.82–68.75 kJ/mol), except for black hawthorn, which had a lower Ea value in the co-pigmented sample. The thermodynamic parameters (enthalpy, free energy, and entropy) evaluated indicated a positive effect of co-pigmentation on the thermal treatment of anthocyanins.
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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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