Optimization of thermal processing condition for winter melon puree using response surface methodology

Noriham Abdullah, Zainal Samicho, W. Kamarudin, K. Zulkifli, N. Aziman
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引用次数: 3

Abstract

Winter melon is a perishable fruit, hence, the need to process it into puree is a necessity. The concept of thermal processing involves in canning process as the most widely used method of preserving and extending the shelf life and capable to inactivate pectinmethylesterase enzyme (PME) in fruit puree was studied. The purposes of this study are to determine the optimum temperature and time for thermal processing of winter melon puree (WMP) and to verify the optimum condition proposed by response surface methodology (RSM). Winter melon puree samples was treated at thirteen different treatment combinations of temperature (°C) and time (second). Each treatment of WMP was analysed for the percentage (%) reduction of PME, total phenolic content (TPC), percent pulp content and physicochemical analysis such as colour (absorbance), total soluble solid (°Brix) and pH. PME and TPC were the responses used in this research. For each treatment % reduction of PME ranged from 27.61–78.05 % while TPC ranged from 12.21–28.84 mg GAE/g fresh weight. The % of pulp content for each treatment of WMP varies from 51.17–63.17 %. However, there were no significance difference results in the colour, total soluble solid and pH of WMP samples. The MINITAB software version 15 used for optimization suggested three possible optimum conditions but the best desirability where the experiment was feasible at temperature 84.5 °C and time 94.1 seconds. At this optimum treatment, the predicted value of % reduction of PME was 78.87 % and TPC 20.34 mg GAE/g fresh weight. After verification at the optimum treatment, results showed that % reduction of PME was 78.12 % and TPC was 20.43 mg GAE/g fresh weight and since the difference values between predicted and verification for both responses (PME and TPC) are less than 5% meaning that the optimum condition predicted by RSM of MINITAB software version 15 can be accepted at the 5% level of significant difference. At this condition pH of WMP was 4.76, colour absorbance 0.4124 nm, % pulp content 55.0 % and total soluble solid 1.282° Brix. All derived mathematical model for the response was found fit significantly to predict the data. This study showed that RSM does not only reduce the number of experiment to be carried out but also effective tool in determining the optimum condition of thermal treatment for WMP.
响应面法优化冬瓜泥热加工条件
冬瓜是一种易腐烂的水果,因此需要将其加工成瓜泥。研究了罐头加工过程中热加工的概念,作为一种最广泛使用的保存和延长保质期的方法,能够灭活果泥中的果胶甲基酯酶(PME)。本研究的目的是确定冬瓜泥热加工的最佳温度和时间,并验证响应面法(RSM)提出的最佳条件。采用温度(℃)和时间(秒)13种不同的处理组合对冬瓜泥样品进行处理。分析了WMP的每个处理的PME还原百分比(%),总酚含量(TPC),果肉含量百分比和物理化学分析,如颜色(吸光度),总可溶性固形物(°白利度)和ph。PME和TPC是本研究中使用的响应。每次处理的PME减少率为27.61 - 78.05%,TPC减少率为12.21-28.84 mg GAE/g鲜重。WMP各处理的纸浆含量百分比在51.17 ~ 63.17%之间。而WMP样品的颜色、总可溶性固形物和pH值无显著性差异。用于优化的MINITAB软件版本15提出了三种可能的最佳条件,但最理想的条件是在温度84.5°C,时间94.1秒时实验可行。在此最佳处理下,PME降低率预测值为78.87%,TPC降低率预测值为20.34 mg GAE/g鲜重。经验证,PME和TPC在最佳处理下的还原率分别为78.12%和20.43 mg GAE/g鲜重,PME和TPC的预测值与验证值的差值均小于5%,说明MINITAB软件版本15的RSM预测的最佳处理在5%的显著差异水平下可以被接受。在此条件下,WMP的pH为4.76,色吸光度为0.4124 nm, %浆含量为55.0%,总可溶性固形物为1.282°白利度。所有推导的数学模型都能很好地预测数据。研究表明,RSM不仅减少了实验次数,而且是确定WMP最佳热处理条件的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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