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Comprehensive Quality Analysis of Phyllanthus emblica L. Preserved Fruit Based on Multivariate Statistical Analysis
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Liyue QIN1, Daiqin HE1, Yaxin CHANG1, Haidan WANG1, Xin HU1, Yuting HUANG2, Qian LI3, Feifei MA1, *
Science and Technology of Food Industry | 2026, 47(2) : 47 - 58
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Science and Technology of Food Industry | 2026, 47(2): 47-58
• Papers Invited by Guest Editors •
Comprehensive Quality Analysis of Phyllanthus emblica L. Preserved Fruit Based on Multivariate Statistical Analysis
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Liyue QIN1, Daiqin HE1, Yaxin CHANG1, Haidan WANG1, Xin HU1, Yuting HUANG2, Qian LI3, Feifei MA1, *
Affiliations
  • 1The Institute of Agro-Products Processing Science and Technology, Yunnan Academy of Agricultural Sciences, Kunming 650221, China
  • 2Yuanmou Aileke Food Company Limited, Chuxiong 651300, China
  • 3Yunnan Baiyao Group Health Products Company Limited, Kunming 650599, China
Published: 2026-01-15 doi: 10.13386/j.issn1002-0306.2025030068
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In order to explore the quality evaluation indicators of Phyllanthus emblica L. preserved fruit and establish an evaluation system, taking eight commercially available kinds of P. emblica L. preserved fruit as samples, this study measured and analyzed 20 quality indicators, including fuzzy mathematical sensory evaluation, color values (L*, a*, b*, C*, and h* values), texture (hardness, adhesion, cohesion, elasticity, and chewiness), and physicochemical properties (moisture, total sugar, reducing sugar, total acid, ascorbic acid, total phenols, flavonoids, ABTS+, and DPPH radical scavenging rate). Correlation analysis, principal component analysis, and cluster analysis were used to analyze the quality indicators and screen out the key quality evaluation indicators of P. emblica L. preserved fruit. The results showed that there were varying degrees of variation in the quality indicators of the eight commercially available varieties, with a coefficient of variation ranging from 6.42% to 56.34%. Among the color parameters, a* showed the largest change, there were significant differences in hardness, adhesion, and chewiness among the texture parameters, and there were also significant changes in the content of moisture, total sugar, total acid, ascorbic acid, and total phenols among the physicochemical parameters. Among the 20 quality indicators, there was a significant correlation (P<0.05) between 22 pairs of indicators, and a highly significant correlation (P<0.01) between 60 pairs of indicators. Sensory evaluation was highly positively correlated with moisture content, ascorbic acid content, and L* (P<0.01), while hardness was highly negatively correlated with sensory evaluation (P<0.01). The principal component analysis of quality indicators extracted four principal components, with a cumulative contribution rate of 92.77%. Using partial least squares analysis, seven key quality indicators were obtained and validated using cluster analysis, and they could distinguish different qualities of P. emblica L. preserved fruit effectively. Therefore, based on multivariate statistical analysis, it was ultimately determined that moisture content, ascorbic acid content, DPPH radical scavenging rate, L*, h*, hardness, and chewiness were key quality indicators for evaluating the quality of P. emblica L. preserved fruit. The research results of this study could provide a theoretical basis and scientific basis for the quality evaluation and processing of P. emblica L. preserved fruit.

Phyllanthus emblica L.  /  preserved fruit  /  principal component analysis  /  cluster analysis  /  quality evaluation
秦力悦, 何代琴, 常雅欣, 王海丹, 胡昕, 黄钰婷, 李茜, 马菲菲. 基于多元统计学分析余甘子果脯综合品质. 食品工业科技, 2026 , 47 (2) : 47 -58 . DOI: 10.13386/j.issn1002-0306.2025030068
Liyue QIN, Daiqin HE, Yaxin CHANG, Haidan WANG, Xin HU, Yuting HUANG, Qian LI, Feifei MA. Comprehensive Quality Analysis of Phyllanthus emblica L. Preserved Fruit Based on Multivariate Statistical Analysis[J]. Science and Technology of Food Industry, 2026 , 47 (2) : 47 -58 . DOI: 10.13386/j.issn1002-0306.2025030068
Year 2026 volume 47 Issue 2
95
44
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doi: 10.13386/j.issn1002-0306.2025030068
  • Receive Date:2025-03-07
  • Online Date:2026-10-24
  • Published:2026-01-15
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  • Received:2025-03-07
Affiliations
    1The Institute of Agro-Products Processing Science and Technology, Yunnan Academy of Agricultural Sciences, Kunming 650221, China
    2Yuanmou Aileke Food Company Limited, Chuxiong 651300, China
    3Yunnan Baiyao Group Health Products Company Limited, Kunming 650599, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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