灞桥樱桃多品质数据分析
目的 综合分析灞桥樱桃多种品质数据, 以寻找影响灞桥樱桃品质的主要因素。方法 采用近红外光谱仪无损测定灞桥樱桃样品可溶性固形物含量(soluble solid content, SSC)、可滴定酸含量、果实硬度, 根据SSC和可滴定酸含量计算糖酸比, 并采用电子天平、游标卡尺分别测定单果重和果实横径数据。分别对灞桥樱桃6种品质数据进行统计分析、直方图分析和相关分析, 并采用主成分分析算法对灞桥樱桃品质数据进行综合分析。结果 灞桥樱桃单果重、SSC和糖酸比的变异系数较大, 可滴定酸含量、果实横径和果实硬度相对较小; 灞桥樱桃的单果重、果实横径、果实硬度、SSC、可滴定酸含量、糖酸比的平均值±样本标准差( )分别为(7.21±1.34) g、(25.44±1.69) mm、(3.70±0.06) kg/cm2、(14.7±2.6) Brix、(0.41±0.03) %、(35.8±4.9), 各品质数据基本符合正态分布规律; 灞桥樱桃质地均匀性较好, 且SSC和糖酸比之间具有较高的相关性; 前4个主成分的累计贡献率为98%, 可溶性固形物含量、果实硬度、糖酸比这3个品质参数对整体数据的影响较大; 果实横径、单果重对数据的影响分别次之; 可滴定酸含量对数据的影响较小。结论 采用近红外光谱分析仪获取灞桥樱桃SSC、可滴定酸含量及果实硬度数据过程具有无损、快速、高效的特点, 有利于消除樱桃果实之间的差异所导致的不确定性; 结合单果重、果实横径数据可对灞桥樱桃品质数据进行综合分析, 可为灞桥樱桃品质评价提供数据参考。
Objective To analyze the multiple quality data of Baqiao cherry comprehensively and find out the main influence factors of Baqiao cherry. Methods The soluble solid content (SSC), titratable acid content, fruit firmness of Baqiao cherry samples were tested based on near-infrared spectrometer, and the sugar-acid ratio were calculated by SSC and titratable acid content. Moreover, single fruit weight and fruit transverse diameter were tested by electronic balance and vernier caliper respectively. The statistical analysis, histogram analysis and correlation analysis were applied to the 6 quality data of Baqiao cherry, while principal component analysis (PCA) were used to analyze the quality data of Baqiao cherry comprehensively. Results The coefficients of variation of the single fruit weight, SSC and sugar-acid ratio were larger, while those of titratable acid content, fruit transverse diameter and fruit firmness were relatively small. The average ± standard deviation ( ) of single fruit weight, fruit transverse diameter, fruit firmness, SSC, titratable acid content, sugar-acid ratio were (7.21 ± 1.34) g, (25.44 ± 1.69) mm, (3.70 ± 0.06) kg/cm2, (14.7 ± 2.6) Brix, (0.41 ± 0.03) % and (35.8 ± 4.9), respectively, and all the 6 quality data conformed to the normal distribution law basically. The Baqiao cherry was of good texture uniformity and there was high correlation between SSC and sugar-acid ratio. The cumulative contribution of the first four principal components was 98 %. SSC; fruit firmness and sugar-acid ratio were of larger influence to the whole data; while the influence of fruit transverse diameter and single fruit weight was second; furthermore, that of titratable acid content was small. Conclusion The data acquirement of SSC, titratable acid content and fruit firmness of Baqiao cherry by near-infrared spectrometer is nondestructive, rapid and high efficiency, which is in favor of eliminating the uncertainty among the cherry fruits’ difference. Combined with the data of single fruit weight and fruit transverse diameter, the comprehensive analysis to the quality data of Baqiao cherry can be carried out, which will provide data reference for the evaluation of the quality of Baqiao Cherry.
标题：灞桥樱桃多品质数据分析
英文标题：Data analysis of multi-quality of Baqiao cherry
作者：
王婷 西安市灞桥区农产品质量安全检验监测中心
王冬 北京农业质量标准与检测技术研究中心；农业农村部农产品质量安全风险评估实验室(北京)
韩平 北京农业质量标准与检测技术研究中心；农业农村部农产品质量安全风险评估实验室(北京)
李瑞 西安市灞桥区农产品质量安全检验监测中心
白洁 西安市灞桥区农产品质量安全检验监测中心
陈海朋 西安市灞桥区农产品质量安全检验监测中心
莫丽丽 西安市灞桥区农产品质量安全检验监测中心
中文关键词:无损检测,主成分分析,统计,近红外光谱,灞桥樱桃,
英文关键词:nondestructive testing,principal component analysis,statistics,near-infrared spectroscopy,Baqiao cherry,
发表日期：2019-08-23
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