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采用傅里叶变化近红外光谱技术建立雷竹笋的硬度、色差和水分含量快速检测方法。选取4 000~8 500cm-1为分析区域,描述谱峰的归属。以常规分析测定值作建模数据,采用偏最小二乘(PLS)回归法建立雷笋的品质参数定量分析模型,考察近红外光谱预处理方法对模型的影响。分别用验证集和校正集样本分析模型预测的准确性。结果显示预测集均方差(RMSEP)分别为150、1.8、0.0012,校正集均方差(RMSEC)分别为413、2.3、0.0042,相关系数分别为0.985、0.940、0.988。对传统方法和近红外光谱法进行t检验,硬度、色差和水分的t值分别为1.93、0.68和1.329,均小于临界值t0.05=2.131,说明两者之间没有显著性差异。本研究结果表明,采用近红外光谱法可同时测定雷笋的硬度、色差和水分含量等品质参数。与传统的分析方法相比,该方法具有快速、无损、简单等特点。
Using Fourier transform near infrared spectroscopy technique to establish the rapid detection method of bamboo shoots hardness, color difference and moisture content. Select 4 000 ~ 8 500cm-1 as the analysis area, describing the attribution of the peak. The results of routine analysis of the measured data were used as modeling data, and the PLS regression method was used to establish the quality parameters quantitative analysis model of the bamboo shoots. The effects of the pretreatment methods on the model were investigated. The accuracy of the model prediction is analyzed by using the validation set and the calibration set sample respectively. The results showed that the mean square error of prediction (RMSEP) was 150,1.8,0.0012, RMSEC was 413,2.3,0.0042 respectively, and the correlation coefficients were 0.985,0.940,0.988 respectively. The t-test of traditional method and near-infrared spectroscopy showed that the t values of hardness, color difference and water content were 1.93, 0.68 and 1.329, respectively, less than the critical value t0.05 = 2.131, indicating no significant difference between the two methods. The results of this study show that near-infrared spectroscopy can be used to determine the quality parameters such as hardness, color difference and moisture content of Radix Stemona Simultaneously. Compared with the traditional analysis methods, this method is fast, non-destructive, simple and so on.