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

机译:响应表面方法论优化冬瓜纯粉热处理条件

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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 o- 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.
机译:冬瓜是一种易腐烂的水果,因此,需要将其加工成腐烂是必要的。热处理的概念涉及罐纽过程,作为保存和延伸保质期的最广泛使用的方法,并能够在果实中灭活果白甲基酯酶(PME)。本研究的目的是确定冬瓜纯泥(WMP)热处理的最佳温度和时间,并验证响应面方法(RSM)提出的最佳条件。冬季甜瓜酱样品在13种不同的温度(&#00b0; c)和时间(秒)的三十不同处理组合中处理。分析每种WMP治疗PME的(%)降低PME,总酚含量(TPC),髓含量百分比和物理化学分析,如颜色(吸光度),总可溶性固体(&#00b0; brix)和pH。 PME和TPC是本研究中使用的反应。对于每种治疗的每种治疗,PME的百分比降低,而TPC的TPC范围为12.21-28.84mg gae / g鲜重。每次治疗WMP的纸浆含量的含量从51.17-63.17%变化。然而,没有显着差异导致颜色,总可溶性固体和WMP样品的pH。用于优化的Minitab软件版本15建议了三种可能的最佳条件,但实验在温度下可行的最佳期望是在84.5° c和时间94.1秒。在这种最佳处理中,PME减少的预测值为78.87%,TPC 20.34mg Gae / g鲜重。在验证优化处理后,结果表明,PME的%降低为78.12%,TPC为20.43mg gae / g鲜重量,并​​且由于对响应(PME和TPC)的预测和验证之间的差值小于5%的意义。 Minitab软件版本15的RSM预测的最佳状况可以在5%的显着差异级别接受。在这种条件下,pH O-WMP为4.76,彩色吸收0.4124nm,%纸浆含量55.0%和总可溶性固体1.282°布里奇。找到响应的所有导出的数学模型都非常适合预测数据。这项研究表明,RSM不仅减少了在确定WMP热处理的最佳态度的实验数而且还减少了有效的工具。

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