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采用响应面法优化木瓜总酚含量的干燥参数

Optimization of Drying Parameters for Total Phenolic Content of Papaya Using Response Surface Methodology.

作者信息

Akter Ferdusee, Akther Shireen, Sultana Afroza, Rahman Md Motiur, Deb Ujjwal Kumar

机构信息

Department of Mathematics, Chittagong University of Engineering & Technology, Chattogram-4349, Bangladesh.

Department of Physical and Mathematical Sciences, Chittagong Veterinary and Animal Sciences University, Chattogram-4225, Bangladesh.

出版信息

Int J Food Sci. 2022 Dec 22;2022:4819725. doi: 10.1155/2022/4819725. eCollection 2022.

Abstract

An optimum condition of the drying process can minimize nutrient losses and maximize the shelf life of food products. Thus, this study is aimed at developing an optimized system for the process conditions to determine the total phenolic content (TPC) of oven-dried papaya slices. The response surface method and central composite design were used to design the experiment, and it was found that the drying conditions had a significant impact on the total phenolic content of papaya slices. TPC was determined in relation to their interactions with the independent variables that include time, temperature, sample thickness, and stage of ripeness. The optimum drying conditions are those with the maximum content of TPC. In order to fit the experimental data, a quadratic polynomial model is created for the output variable, and an analysis of variance is carried out to determine whether or not the model is compatible to determine the optimal drying conditions. Time (10 h), temperature (62.02°C), thickness (9.75 mm) and stages (ripe) were found to be the optimal drying conditions. It was found that temperature had more effect on the amount of TPC than other factors. The numerical findings showed a good agreement with experimental data, with = 0.9237. It is hoped that the findings will make a contribution to the process of drying food.

摘要

干燥过程的最佳条件可以使营养成分损失最小化,并使食品的保质期最大化。因此,本研究旨在开发一种优化系统,用于确定烘干木瓜片总酚含量(TPC)的工艺条件。采用响应面法和中心复合设计来设计实验,结果发现干燥条件对木瓜片的总酚含量有显著影响。根据总酚含量与包括时间、温度、样品厚度和成熟阶段在内的自变量之间的相互作用来确定总酚含量。最佳干燥条件是总酚含量最高的条件。为了拟合实验数据,为输出变量创建了一个二次多项式模型,并进行方差分析以确定该模型是否适用于确定最佳干燥条件。发现时间(10小时)、温度(62.02°C)、厚度(9.75毫米)和阶段(成熟)是最佳干燥条件。结果发现,温度对总酚含量的影响比其他因素更大。数值结果与实验数据吻合良好,R² = 0.9237。希望这些发现将对食品干燥过程有所贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/9800098/706258ecc1d6/IJFS2022-4819725.001.jpg

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