食品科学 ›› 2023, Vol. 44 ›› Issue (9): 1-6.doi: 10.7506/spkx1002-6630-20220519-253

• 基础研究 •    下一篇

氯吡苯脲对生长期‘徐香’猕猴桃光学参数及内部品质的影响及其关系分析

蔡晓,郭文川,曾硕崇,曹梦珂,阳尚宏   

  1. (1.西北农林科技大学机械与电子工程学院,陕西 杨凌 712100;2.农业农村部农业物联网重点实验室,陕西 杨凌 712100)
  • 出版日期:2023-05-15 发布日期:2023-05-24
  • 基金资助:
    国家自然科学基金面上项目(31772065)

Correlation Analysis between Optical Parameters and Internal Quality of ‘Xuxiang’ Kiwifruits during Growth as Affected by 1-(2-Chloropyridin-4-yl)-3-phenylurea

CAI Xiao, GUO Wenchuan, ZENG Shuochong, CAO Mengke, YANG Shanghong   

  1. (1. College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling 712100, China; 2. Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling 712100, China)
  • Online:2023-05-15 Published:2023-05-24

摘要: 为了解氯吡苯脲(1-(2-chloropyridin-4-yl)-3-phenylurea,CPPU)对生长期‘徐香’猕猴桃光学参数和内部品质的影响以及光学参数与内部品质的关系,采用单积分球系统(950~1 650 nm)测定经不同质量浓度(0、10、20 mg/L)CPPU处理的生长期猕猴桃的光学吸收系数(μa)和约化散射系数(μs’),并测定猕猴桃的内部品质(可溶性固形物含量(soluble solids content,SSC)、含水率及硬度);分析光学参数与内部品质之间的关系,并建立预测内部品质的偏最小二乘回归(partial least squares regression,PLSR)模型。结果表明,CPPU处理使得猕猴桃的硬度降低,含水率升高,但对SSC无显著影响(P>0.05),且CPPU处理导致猕猴桃的光学参数值发生变化;μa和μs’与猕猴桃同一种内部品质之间呈现不同的正负相关性,且相关系数随波长而变化,并在某一波段内有较好的相关性;基于μa谱建立的PLSR模型对猕猴桃SSC和含水率的预测效果最优(预测集相关系数(Rp)=0.709,预测集均方根误差(root mean squares error of prediction,RMSEP)=0.579%;Rp=0.790,RMSEP=0.408%),而基于μa+μs’谱所建模型对硬度的预测性能最佳(Rp=0.796,RMSEP=7.890 N)。该研究可为基于光谱技术预测猕猴桃内部品质提供理论依据。

关键词: 猕猴桃;氯吡苯脲;生长期;光学参数;内部品质;相关性

Abstract: To understand the effect of 1-(2-chloropyridin-4-yl)-3-phenylurea (CPPU) on the optical parameters and internal quality of ‘Xuxiang’ kiwifruit during growth and the relationship between optical parameters and internal quality. Growing ‘Xuxiang’ kiwifruits treated with 0, 10 and 20 mg/L CPPU solutions were measured for absorption coefficient μa and reduced scattering coefficient μs’ using single integrating sphere system (950–1 650 nm). The internal quality indices, such as soluble solid content (SSC), moisture content and firmness, were also measured. Partial least squares regression (PLSR) was used to build an internal quality prediction model based on optical parameters. The results showed that CPPU reduced the firmness and increased the moisture content, but had no significant effect on the SSC of kiwifruits (P > 0.05). CPPU led to changes in the optical parameters of kiwifruits. μa and μs’ showed different correlations with the same internal quality attribute of kiwifruits, the correlation coefficients changed with wavelength, and there was a good correlation in a certain band. The PLSR model based on μa had the best prediction effect on the SSC and moisture content with correlation coefficient of prediction (Rp) of 0.709 and 0.790 and root mean square error of prediction (RMSEP) of 0.579% and 0.408%, respectively, while the model based on μa + μs’ had the best performance in predicting the hardness (Rp = 0.796, RMSEP = 7.890 N). This study provides a theoretical basis for predicting the internal quality of kiwifruits based on spectral technology.

Key words: kiwifruit; 1-(2-chloropyridin-4-yl)-3-phenylurea; growth stage; optical parameters; internal quality; correlation

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