食品工业科技2025，Vol.46Issue(9)：307-316,10.DOI:10.13386/j.issn1002-0306.2024060249
基于多元统计分析方法构建鲜湿米粉专用粉评价体系
Development of an Advanced Quality Assessment System for Specialized Flour for Fresh Rice Noodles Employing Multivariate Statistical Techniques
摘要
Abstract
This study aimed to elucidate the complicated relationship between diverse characteristics of rice flour and the quality indicators of fresh rice noodles,while at the same time as figuring out key parameters and threshold ranges for flour for fresh rice noodles production.Gui Chao rice was used as the foremost uncooked material.Rice flour underwent processing through a range of milling methods(dry,wet,and semi-dry)and grinding sizes(60,80,100,and 120 mesh),yielding 28 unique rice flour samples.The rice flours had been comprehensively with the aid of assessing a vary of imperative parameters,together with amylose content,crude protein levels,damaged starch proportion,particle dimension distribution(D50),water absorption properties,and pasting behavior.Furthermore,the quality of the fresh rice noodles was meticulously assessed via texture profile analysis,cooking quality attributes,and sensory assessment scores.An exhaustive and systematic evaluation was once conducted to elucidate the tricky relationship between rice flour traits and the quality of fresh rice noodles,involving an array of state-of-the-art multivariate statistical methods,which included descriptive statistics,correlation analysis,principal component analysis,stepwise regression,and cluster analysis.A tailored theoretical assessment model specifically designed for the specialized flour for fresh rice noodles was once developed,and the results characteristic indicators alongside with their corresponding threshold degrees were identified and delineated.The results indicated no statistically significant differences in amylose content and crude protein levels amongst rice flours produced using a variety of milling methods.Under identical grinding size conditions,wet-milled rice flour achieved superior overall scores in comparison to dry and semi-dry milled flours,resulting in accelerated sensory satisfactory in fresh rice noodles.Among the number of grinding sizes,flours with a mesh dimension of 100～120 demonstrated the highest basic and sensory scores.The evaluation model for the specialized flour intended for fresh rice noodles was represented by the equation Y=-28.141-0.06X4+1.035X5+0.05X8(R2=0.937,P＜0.01).The most reliable threshold values for characteristic indicators in the processing of fresh rice noodles were as follows:Semi-dry milled flour needed to have a D50 ranging from 88.65 to 146.21 pm,whereas wet-milled flour had a D50 ranging from 10.34 to 47.36 pm.Additionally,rice flour should demonstrate a water absorption exceeding 10.15 g/g and a peak viscosity surpassing 3235.00 cP.This learn about appreciably contributes to the advancement of flour for fresh rice noodles,enables the development of on-line flour blending systems,and has substantial implications for the standardization and industrial production of flour used in fresh rice noodles.关键词
多元统计分析方法/鲜湿米粉专用粉/评价体系/制粉工艺/磨粉粒度/品质控制Key words
multivariate statistical techniques/specialized flour for fresh rice noodles/assessment system/milling process/flour particle size/quality manipulate分类
轻工纺织引用本文复制引用
吴淼源,廖卢艳,任贤龙,刘操,吴卫国..基于多元统计分析方法构建鲜湿米粉专用粉评价体系[J].食品工业科技,2025,46(9):307-316,10.基金项目
湖南省自然科学基金项目(2024JJ7289) （2024JJ7289）
湖南重点领域研发计划项目(2019NK2131) （2019NK2131）
湖南省研究生创新基金(QL20230178) （QL20230178）
湖南省农科院创新基金项目(2023CX88) （2023CX88）
2022年度湖南省企业科技创新创业团队项目(湖南角山米业稻米科技创业团队). （湖南角山米业稻米科技创业团队）
