果实成熟度对南果梨近红外无损检测技术模型的影响

通过研究不同成熟度的南果梨内部化学成分含量的差异性，建立不同成熟度的南果梨可溶性固形物、酸度近红外模型，并研究模型性能的差异性，讨论成熟度的变化对南果梨近红外分析技术的影响。结果表明：在2007 年9 月13 日采收的南果梨糖、酸含量与在9 月7 日和9 月10 日采收的南果梨存在显著差异性，而7 日与10 日采收的无差异性变化；建立不同成熟度的南果梨可溶性固形物、酸度模型的相关系数都高于0.9，校正均方根误差为0.014～0.201；对模型预测能力分析表明，样品采收期在9 月13 日的模型适用范围明显高于其他两个成熟度的模型，证明成熟度的显著差异性变化，扩大了校正集样品化学成分含量的范围，进而提高了模型的适用范围。

Effects of Maturity on Near Infrared Spectral Detection of “Nanguo” Pears

The present study investigated the difference in internally chemical component contents of “Nanguo” pears with different maturities, established NIR models of sugar degree and acidity of “Nanguo” pears with different maturities, explored the difference in properties of these models, and discussed the effects of maturity change on NIR analysis for “Nanguo” pears. The results showed that there was significant difference in sugar degree and acidity between “Nanguo” pears harvested on Sep. 13 and Sep. 7, but not between “Nanguo” pears harvested on Sep. 10 and Sep. 7. All the correlation coefficients of the models were over 0.9, and the correction RMS errors were less than 0.5. The analysis for prediction ability of the models showed that the applicability of the model for harvest on Sep. 13 was higher than that of other models, indicating the significant change in maturity enlarges the range of chemical component contents of calibration samples and improves the applicability of models.