以双孢蘑菇为试验材料,基于近红外漫反射光谱定量分析技术,研究其贮藏期间硬度无损检测模型的建立方法。采用偏最小二乘法对双孢蘑菇的近红外光谱进行分析,并且比较了4种(一阶导数、二阶导数、标准正交变量变换、多元散射校正)光谱预处理方法的建模结果。试验结果表明,在选定的光谱(5000~10000cm^-1)范围内,二阶导数光谱预处理方法所建模型效果最佳,其校正决定系数为0.9471,验证决定系数为0.8261,说明基于近红外漫反射光谱的检测方法简便易行,可用于无损评价双孢蘑菇贮藏期间硬度的变化。
Calibration model for firmness of Agaricus bisporus during storage was developed based on near-infrared (NIR) diffuse reflectance spectroscopy quantitative analysis techniques. Partial least squares (PLS) regression was carried out to analyze the spectroscopy. Four different spectral pretreatment methods (first derivative, second derivative, SNV, SMC) were used to compare calibration results for firmness. The result showed that the best calibration models, in the selected wavelength range of 5 000 - 10 000 cm-1, could be obtained by the second derivative spectrum with the determination coefficient of calibration of 0. 947 1, and the determination coefficient of prediction of 0. 826 1. The results indicated that the detection method based on near-infrared diffuse reflectance spectroscopy was simple, and could be used for non-destructively evaluating the changes of firmness in Agaricus bisporus during storage in time.