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Evaluation of Quality Differences and Processing Suitability of Yunnan Phyllanthus emblica L. Based on Intelligent Sensory Techniques and Multivariate Statistics
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Huayan WANG1, Liyue QIN1, Xin HU1, Daiqin HE1, Haidan WANG1, Qiongling ZHAO2, Yuting HUANG3, Feifei MA1, *
Science and Technology of Food Industry | 2026, 47(15) : 365 - 378
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Science and Technology of Food Industry | 2026, 47(15): 365-378
• Analysis and Determination •
Evaluation of Quality Differences and Processing Suitability of Yunnan Phyllanthus emblica L. Based on Intelligent Sensory Techniques and Multivariate Statistics
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Huayan WANG1, Liyue QIN1, Xin HU1, Daiqin HE1, Haidan WANG1, Qiongling ZHAO2, Yuting HUANG3, Feifei MA1, *
Affiliations
  • 1Institute of Agro-products Processing Science and Technology, Yunnan Academy of Agricultural Sciences,Kunming 650221, China
  • 2Institute of Tropical Eco-agriculture Sciences, Yunnan Academy of Agricultural Sciences, Chuxiong 651300, China
  • 3Yuanmou Alec Food Co., Ltd., Chuxiong 651300, China
Published: 2026-08-01 doi: 10.13386/j.issn1002-0306.2025080211
Outline
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This study investigated the quality diversity and processing suitability of six representative Phyllanthus emblica L. varieties from Yunnan. Comprehensive analyses were conducted to determine appearance quality, physicochemical properties, bioactive components, antioxidant capacity, and flavor profiles using electronic tongue and electronic nose. Multivariate statistical techniques, including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and cluster analysis (CA), were employed to analyze the indicators and classify the varieties. The results revealed significant diversity among the varieties, with coefficients of variation exceeding 20% for 15 indicators, including a* value, single fruit weight, firmness, flavonoid content, and sugar-acid ratio. Distinct flavor profiles among the six varieties were effectively differentiated by a PCA model. PCA and PLS-DA identified 14 key indicators, such as total acidity, sourness, and sweet aftertaste, as core determinants of fruit quality. Cluster analysis based on these core indicators classified the varieties into four groups: 'Zaofeng' (Group Ⅰ), characterized by high levels of total acidity, flavonoids, and crude fiber, exhibiting strong responses to sourness, astringency, sweetness, sulfur compounds, nitrogen-containing substances, and aldehydes/ketones, contributing to a rich and complex flavor profile, suitable for processing fermented drinks or functional tablets; 'Yesheng' (Group Ⅱ), notable for its high ascorbic acid and total phenolic content, demonstrated excellent antioxidant properties and a pronounced sweet aftertaste, which could be processed as healthcare beverages. 'Yingyu' (Group Ⅲ), distinguished by bright and translucent fruit color, high firmness and flesh-to-seed ratio, minimal astringency, and low coarse fiber content, which were suitable for fresh consumption or processing ready-to-eat recreational products. 'Nuoganlan' 'Boligan', and 'Bingtian' (Group Ⅳ), featuring higher moisture content and juice yield, lower astringency and sourness, and prominent sulfur and aldehyde-ketone aromas, which could be processed as flavor-oriented beverages. Furthermore, pearson correlation analysis validated the effectiveness of these core indicators for comprehensive quality evaluation and established linear relationships among them. This study provides a theoretical foundation for the efficient screening of Phyllanthus emblica L. varieties and establishes a systematic framework for quality evaluation in targeted processing applications.

Phyllanthus emblica L.  /  intelligent sensory analysis  /  principal component analysis  /  partial least squares discriminant analysis  /  cluster analysis  /  correlation analysis  /  processing suitability
王华艳, 秦力悦, 胡昕, 何代琴, 王海丹, 赵琼玲, 黄钰婷, 马菲菲. 基于智能感官与多元统计学的云南余甘子品质差异及加工适宜性评价. 食品工业科技, 2026 , 47 (15) : 365 -378 . DOI: 10.13386/j.issn1002-0306.2025080211
Huayan WANG, Liyue QIN, Xin HU, Daiqin HE, Haidan WANG, Qiongling ZHAO, Yuting HUANG, Feifei MA. Evaluation of Quality Differences and Processing Suitability of Yunnan Phyllanthus emblica L. Based on Intelligent Sensory Techniques and Multivariate Statistics[J]. Science and Technology of Food Industry, 2026 , 47 (15) : 365 -378 . DOI: 10.13386/j.issn1002-0306.2025080211
Year 2026 volume 47 Issue 15
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Article Info
doi: 10.13386/j.issn1002-0306.2025080211
  • Receive Date:2025-08-20
  • Online Date:2026-10-24
  • Published:2026-08-01
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  • Received:2025-08-20
Affiliations
    1Institute of Agro-products Processing Science and Technology, Yunnan Academy of Agricultural Sciences,Kunming 650221, China
    2Institute of Tropical Eco-agriculture Sciences, Yunnan Academy of Agricultural Sciences, Chuxiong 651300, China
    3Yuanmou Alec Food Co., Ltd., Chuxiong 651300, 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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