遇见数据集

Dataset and R scripts for multivariate analysis, physicochemical characterization, spray-drying optimization and sensory evaluation of a whey-Caqueteña pineapple instant beverage powder

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Mendeley Data2026-05-21 收录
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This repository contains the experimental dataset and R scripts generated during the development and optimization of an instant functional beverage powder formulated from cheese whey and Caqueteña pineapple (Ananas comosus L. Merr.) using spray-drying technology. The dataset includes the physicochemical characterization of raw materials (cheese whey and pineapple pulp), formulation design, spray-drying operating conditions, physicochemical and technological properties of the resulting powders, and sensory acceptance data of the reconstituted beverages evaluated by untrained panelists. Measured variables include pH, titratable acidity, density, fat, protein, moisture content, ash, water activity, °Brix, color coordinates (L*, a*, b*), powder yield, solubility, wettability, and hedonic sensory scores for appearance, color, aroma, body, acidity, and flavor. In addition, this repository provides the R scripts used for statistical analysis, including descriptive statistics, one-way analysis of variance (ANOVA), principal component analysis (PCA), heatmap visualization, and multivariate exploratory modeling. The integration of experimental data and reproducible analytical code provides a reliable computational framework for the study of spray-dried dairy-fruit systems and supports data reuse in food powder engineering, sensory science, multivariate statistics, and sustainable valorisation of agro-industrial by-products.

本代码仓库包含了利用喷雾干燥技术,以奶酪乳清与卡克泰尼亚菠萝(Ananas comosus L. Merr.)为原料开发并优化速溶功能性饮料粉过程中产生的实验数据集与R脚本。该数据集涵盖原料(奶酪乳清与菠萝果肉)的理化特性表征、配方设计、喷雾干燥工艺参数、所得粉末的理化与工艺性能,以及经非专业评审员评估的复溶饮料感官接受度数据。所测变量包括pH值、滴定酸度、密度、脂肪含量、蛋白质含量、水分含量、灰分、水分活度、可溶性固形物含量(°Brix)、色坐标(L*、a*、b*)、粉末得率、溶解性、润湿性,以及外观、色泽、香气、口感、酸度、风味的感官喜好度评分。此外,本代码仓库还提供了用于统计分析的R脚本,涵盖描述性统计、单因素方差分析(ANOVA)、主成分分析(PCA)、热图可视化以及多变量探索性建模等分析方法。本数据集整合了实验数据与可复现的分析代码,为喷雾干燥乳果混合体系的相关研究提供了可靠的计算框架,同时可为食品粉末工程、感官科学、多变量统计学以及农工业副产物的可持续增值利用领域的数据复用提供支持。

创建时间:
2026-05-05
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