DrYFiT: An Excel Freeware Tool to Describe Thin Layer Drying of Foods

IF 2.7 3区 农林科学 Q3 ENGINEERING, CHEMICAL Journal of Food Process Engineering Pub Date : 2024-10-01 DOI:10.1111/jfpe.14748
Hasan Basri Öksüz, Sencer Buzrul
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Abstract

We introduced DrYFiT (drying data fitting tool), a Microsoft Excel freeware tool to be used for modeling thin-layer drying of foods, which is available at https://drive.google.com/drive/folders/1ouompmNkmdmw1KMTJUnY0t8dJqSJ9iKv?usp=drive_link. There are 12 models in the tool and it can be used without any modeling and programming skills. Time and moisture ratio data can be entered and one of models available (one at a time) can be selected to describe the drying data. Parameter values, standard error of the parameters, p value and a statement that indicates whether the parameter is statistically significant or not (α = 0.05) are reported. Moreover, R2, adjusted R2 and root mean square error values are calculated for each model. Users can instantaneously observe the experimental data and the model fit on the same graph. Residual plot is given next to this graph. It is possible for the users to have the results of all models applied to drying data within a couple of minutes. The results of DrYFiT were compared with some popular software programs used for nonlinear regression and identical values (parameters, standard errors, p values, goodness-of-fit statistics) were obtained for 40 datasets.

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DrYFiT:描述食品薄层干燥的 Excel 免费工具
我们介绍了 DrYFiT(干燥数据拟合工具),这是一款用于食品薄层干燥建模的 Microsoft Excel 免费工具,可在 https://drive.google.com/drive/folders/1ouompmNkmdmw1KMTJUnY0t8dJqSJ9iKv?usp=drive_link 上下载。该工具有 12 个模型,无需任何建模和编程技巧即可使用。可以输入时间和水分比数据,然后从可用模型中选择一个(每次一个)来描述干燥数据。报告包括参数值、参数的标准误差、P 值以及参数是否具有统计学意义(α = 0.05)的说明。此外,还可计算每个模型的 R2、调整后 R2 和均方根误差值。用户可以在同一张图上即时观察实验数据和模型拟合结果。该图旁边还给出了残差图。用户可以在几分钟内得到所有模型应用于干燥数据的结果。我们将 DrYFiT 的结果与一些常用的非线性回归软件进行了比较,结果发现 40 个数据集的结果(参数、标准误差、P 值、拟合优度统计量)完全相同。
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来源期刊
Journal of Food Process Engineering
Journal of Food Process Engineering 工程技术-工程:化工
CiteScore
5.70
自引率
10.00%
发文量
259
审稿时长
2 months
期刊介绍: This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.
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