预处理对豌豆加工废料干燥动力学和化学成分的影响

IF 2.701
Harinderjeet Kaur, Ramandeep Kaur, Amarjeet Kaur, Rupinder pal Singh
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摘要

本研究调查了不同处理方法(如热水焯烫和焯烫后的焦亚硫酸钾(KMS)处理)以及不同风干温度对豌豆加工废料的影响。使用实验室托盘干燥机在 50 °C、60 °C、70 °C 及其组合温度下进行了不同持续时间的干燥处理。由于水分扩散率较高,平衡水分含量随着干燥空气温度的升高而降低。对数模型对干燥数据的拟合效果最好,R2 值从 0.979 到 0.999 不等。对近似成分、生物活性成分、叶绿素含量和颜色(L*、a*、b*)进行了化学分析,以确定最佳的时间-温度组合。结果表明,豌豆荚经 KMS 处理并在 60 °C 下干燥 5 小时后,多酚(9%)、抗坏血酸(20%)和叶绿素含量(17%)的保留率与焯水样品相比最高。此外,与新鲜豌豆荚相比,预处理后的干豌豆荚粉的抗氧化剂含量增加了 37-40%。此外,预处理过程有效地保持了豌豆荚的颜色,使其成为各种食品的理想配料。这项研究为优化食品工业中豌豆加工废料的利用提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Influence of pre-treatment on drying kinetics and chemical composition of pea processing waste

Influence of pre-treatment on drying kinetics and chemical composition of pea processing waste

This study investigated the effects of different treatments such as hot water blanching and potassium metabisulphite (KMS) treatment after blanching, along with various air-drying temperatures on pea processing waste. The drying process was conducted using a laboratory tray dryer at temperatures of 50 °C, 60 °C, and 70 °C, as well as their combinations, for various durations. The equilibrium moisture content decreased with increasing drying air temperature owing to higher moisture diffusivity. The Logarithmic model showed the best fit to the drying data, exhibiting R2 values ranging from 0.979 to 0.999. Chemical analysis of proximate composition, bioactive composition, chlorophyll content, and color (L*, a*, b*) was conducted to determine the optimal time-temperature combination. The results indicate that pea pods treated with KMS and dried at 60 °C for 5 h resulted in the highest retention of polyphenols (9%), ascorbic acid (20%), and chlorophyll content (17%) compared to blanched samples. Moreover, antioxidant content increased by 37–40% in pre-treated and dried pea pod powder relative to fresh pea pod. Additionally, pre-treatment process effectively preserved the color of pea pods, making it a desirable ingredient for various food products. This study contributes valuable insights into the optimization of pea processing waste utilization in the food industry.

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