基于熵权-逼近理想解排序法综合评价我国主产区猕猴桃的品质

Comprehensive evaluation of Actinidia chinensis Planch quality in major producing areas of China based on entropy weight-technique for order preference by similarity to ideal solution method

中文关键词:  熵权-逼近理想解排序法  猕猴桃  综合评价

英文关键词:entropy weight-technique for order preference by similarity to ideal solution  Actinidia chinensis Planch  comprehensive evaluation

中文摘要:

      目的 探究我国主产区猕猴桃与新西兰猕猴桃的品质差异, 并对其进行综合性评价。方法 本研究以我国主产区和新西兰猕猴桃果实为实验材料, 分析猕猴桃果实的表型性状、营养成分和感官评定指标, 采用系统性描述、熵权-逼近理想解排序(technique for order preference by similarity to ideal solution, TOPSIS)法, 对猕猴桃进行分析和综合评价。结果 不同产区猕猴桃果实的品质指标存在显著差异, 红心猕猴桃为云南和陕西的可溶性固形物含量最高, 分别为15.9%和15.5%, 四川的总酸最低为0.86%, 云南和四川的可溶性糖含量均值最高分别为62.2%和59.5%, 云南的果糖和葡萄糖含量均值最高, 分别为15.1%和17.7%。绿心猕猴桃为中国产区维生素C含量的显著高于新西兰; 湖南的可溶性固形物含量最高(18.0%), 固酸比均值最高的是湖南(14.5)和重庆(14.4), 可溶性糖含量均值最高的是重庆(58.2%), 但是新西兰的果糖和葡萄糖含量均值最高, 分别为14.2%和16.4%。黄心猕猴桃为新西兰的维生素C、可溶性固形物、固酸比、可溶性糖、果糖、葡萄糖含量均值都是最高(分别为0.89 mg/g、16.7%、14.3、63.6%、15.6%、17.7%), 但是四川(3.73%)与河南(3.61%)的蔗糖含量比新西兰高。结论 研究表明我国主产区猕猴桃与新西兰猕猴桃存在品质差异。通过熵权-TOPSIS模型评价结果显示, 红心猕猴桃得分前2名为云南和四川的红阳猕猴桃, 绿心猕猴桃得分最高为陕西的翠香猕猴桃, 新西兰的海沃德猕猴桃排名第4, 黄心猕猴桃得分最高为新西兰的阳光金果猕猴桃, 其次是四川和云南的G3猕猴桃。本研究通过“感官-成分-表型”三维关联模型, 验证了多指标综合评价的有效性, 为构建猕猴桃品质评价体系提供了方法论支撑。

英文摘要:

      Objective To investigate the quality differences between Actinidia chinensis Planch in China’s main production areas and New Zealand Actinidia chinensis Planch, and make a comprehensive evaluation. Methods This study used Actinidia chinensis Planch fruits from the main production areas of China and New Zealand Actinidia chinensis as experimental materials, analyzed the phenotypic traits, nutritional composition and sensory evaluation indexes of Actinidia chinensis Planch fruits, and analyzed and comprehensively evaluated the Actinidia chinensis Planch fruits by using the method of systematic description, entropy weight-technique for order preference by similarity to ideal solution (TOPSIS) method was used to analyze and comprehensively evaluate Actinidia chinensis Planch. Results The quality indexes of Actinidia chinensis Planch fruits from different production areas differed significantly. The soluble solid content of red Actinidia chinensis Planch was the highest in Yunnan and Shaanxi, with 15.9 and 15.5%, respectively, and the lowest total acid content in Sichuan was0.86%, and the mean value of soluble sugar content was the highest in Yunnan and Sichuan, with 62.2% and 59.5%, respectively, Yunnan also had the highest mean fructose and glucose content (15.1% and 17.7%, respectively). The vitamin C content of greenheart Actinidia chinensis Planch was significantly higher than that of New Zealand for the Chinese production area; Hunan had the highest soluble solids content (18.0%), and the highest mean solid-acid ratios were found in Hunan (14.5) and Chongqing (14.4), the highest mean value of soluble sugar content was found in Chongqing (58.2%), but New Zealand had the highest mean values for fructose and glucose content, which were 14.2% and 16.4%, respectively. The yellow heart Actinidia chinensis Planch had the highest mean values of vitamin C, soluble solids, solid-acid ratio, soluble sugars, fructose and glucose content for New Zealand (0.89 mg/g, 16.7%, 14.3, 63.6%, 15.6% and 17.7%, respectively), but the sucrose content of Sichuan (3.73%) and Henan (3.61%) was higher than that of New Zealand. Conclusion The study show that there are quality differences between Actinidia chinensis Planch from China’s main production areas and New Zealand Actinidia chinensis Planch. The entropy weight-TOPSIS model show that the top two scores of red Actinidia chinensis Planch are the Hongyang Actinidia chinensis Planch from Yunnan and Sichuan, the top score of green Actinidia chinensis Planch is the CuiXiang Actinidia chinensis Planch from Shaanxi, and the Hayward Actinidia chinensis Planch from New Zealand ranked the 4th, while the top score of yellow Actinidia chinensis Planch is the Sunshine Golden Fruit Actinidia chinensis Planch from New Zealand, follow by the G3 Actinidia chinensis Planch from Sichuan and Yunnan. This study verify the validity of the multi-indicator evaluation through the three-dimensional correlation model of “sensory-composition-phenotype”, and provid methodological support for the construction of the Actinidia chinensis Planch quality evaluation system.