食品工业科技2024，Vol.45Issue(1)：231-238,8.DOI:10.13386/j.issn1002-0306.2023010032
基于熵权法、灰色关联度法和低场核磁共振检测的苹果品质评价
Apple Quality Evaluation Based on Entropy Weight Method,Grey Relational Degree Method and Low-field Nuclear Magnetic Resonance Detection
摘要
Abstract
To study the quality characteristics of different apple varieties and establish a comprehensive evaluation model of apple quality,taking five varieties of apples(Tianshui Huaniu,Aksu Tangxin,Marshal Huang,Cream Fuji,and Luochuan Red Fuji)as the research object,the four texture characteristics,including hardness,adhesion,chewability,cohesion,and four physical and chemical indicators,including water content,titratable acid(TA),soluble sugar(SS),and soluble solid content(SSC)were tested.Combining the low-field nuclear magnetic resonance detection technology,the correlation between the water distribution and the physicochemical and texture characteristics of apple was explored,and the main indicators for evaluating apple quality were established by principal component analysis.Based on the entropy weight method,each core index was given weight,and a grey correlation degree evaluation model was established.The results showed that there were significant differences in various indexes of different varieties of apples(P<0.05),and there was a high correlation between their water distribution and texture characteristics and physical and chemical indexes.The spin-spin relaxation time T22(immobilized water),T21(bound water)and TA,SS,SSC were established as the core indexes.The weight calculated by entropy weight method showed that the sum of T22 and T21 was 35.31%,accounting for the largest proportion,indicating that the water distribution had the greatest impact on apple quality.The grey correlation analysis showed that the quality of Tianshui Huaniu and Aksu Tangxin was better.The method adopted in this study could quickly and accurately establish the quality evaluation model of apples,and provide a new method for the quality evaluation of fruits and vegetables including apples.关键词
苹果/熵权法/灰色关联度法/低场核磁共振/主成分分析/品质评价Key words
apple/entropy weight method/grey relational analysis/low-field nuclear magnetic resonance/principal component analysis/quality evaluation分类
轻工纺织引用本文复制引用
沈海军,徐子昂,王文琪,宇庭,曹仲文..基于熵权法、灰色关联度法和低场核磁共振检测的苹果品质评价[J].食品工业科技,2024,45(1):231-238,8.基金项目
教育部人文社会科学研究一般项目(17YJAZH006) （17YJAZH006）
四川省高等学校重点实验室开放基金项目(PRKX201911). （PRKX201911）
