印度尼西亚东爪哇部分地区黑马铃薯(Coleus tuberosus)面粉的理化和功能特性

J. Muchlisyiyah, T. Estiasih, Dita Puspa Arinta, Hera Sisca Prasmita
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引用次数: 0

摘要

黑马铃薯(当地名:kentang hitam/黑马铃薯)在印度尼西亚广泛种植。通常,黑土豆只煮熟后做成配菜。黑土豆有可能成为功能性食品的原料。然而,黑土豆一年只能收获一次。因此,低水分形式(面粉)的储存需要更长的保质期。对黑薯粉理化特性和功能特性的研究,有望拓宽黑薯粉作为原料在各种食品中的应用。本研究旨在分析产自印度尼西亚东爪哇Sunthi (Jaten)、Begal和Kopenan森林村庄的黑马铃薯面粉的化学、物理和功能特征。所有测量均进行3次重复,并使用单因素方差分析进行分析,然后进行Tukey检验,以在0.05显著水平上发现每个样本的差异。通过相关分析和主成分分析,研究了样品各性状之间的关系。结果表明,块茎和淀粉具有较高的灰分、直链淀粉和总酚含量。在黑马铃薯面粉的特性之间发现了几个高度相关。水分吸收指数与淀粉、直链淀粉和总酚含量的相关性较高。主成分分析(PCA)也发现三个样本在得分图中加载不同。两个前主成分(PCs)是100%差异的贡献因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physicochemical and functional characteristics of black potato (Coleus tuberosus) flour from some locations in East Java Indonesia
Coleus tuberous (local name: kentang hitam/black potato) is widely available in Indonesia. Commonly, black potatoes are only boiled and made into side dishes. Black potatoes have the potential to be the ingredient of functional foods. However, black potatoes can only be harvested once a year. Therefore, a low moisture form (flour) storage is required for longer shelf life. Research on physicochemical and functional characteristics of black potato flour is expected to widen the use of black potato flour as raw materials in various food products. This study was aimed to analyze the chemical, physical, and functional characteristics of black potato flour originating from Sunthi (Jaten), Begal, and Kopenan Forest villages in East Java, Indonesia. All the measurements were carried out with three replications and analyzed using one-way ANOVA, then followed by the Tukey test to find the difference from each sample at a 0.05 significance level. The correlation analysis and principal component analysis were also subjected to study the relationship between each character of the samples. The result indicated that the tuber and starch have relatively high ash, amylose, and total phenol concentration. Several high correlations were found between the characteristics of the black potato flours. One of the high correlations was the water absorption index with starch, amylose, and total phenolic content. The principal component analysis (PCA) also found that the three samples were loading differently in the score plot. Two first principal components (PCs) were the contributing factor for 100% of the differences.
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