Variable Selection Method in the NIR Quantitative Analysis Model of Total Saponins in Red Ginseng Extract

Table 1. Statistical characteristics of total saponins value
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Table 1. Statistical characteristics of total saponins value
样本
类型样本数最小值/
(mg·mL^-1) 最大值/
(mg·mL^-1) 均值/
(mg·mL^-1) 标准差
校正集 40 8.08 14.72 10.587 1.34
检验集 15 9.52 12.93 10.685 0.938

Table 2. Variable classification rules
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Table 2. Variable classification rules
波数变量类型分类规则
强信息变量 DEMEAN<0, p<0.05
弱信息变量 DEMEAN<0, p>0.05
无信息变量 DEMEAN>0, p>0.05
干扰信息变量 DEMEAN>0, p<0.05

Table 3. Comparison on modeling results by different variables screening methods

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Table 3. Comparison on modeling results by different variables screening methods

建模方法	筛选变量数	主成分数	校正集		验证集
建模方法	筛选变量数	主成分数	R_c	RMSEC	RMSEP	RSEP/%
FULL-PLS	2 074	1	0.560 1	1.110 5	1.231	11.48
OPUS-PLS	93	3	0.601 3	1.086 4	1.018	9.49
CARS-PLS	51	2	0.565 3	1.105 7	1.130 3	10.54
RF-PLS	10	3	0.644	1.025 5	1.095 0	10.21
VCPA-PLS	12	10	0.951 2	0.412 3	1.067 2	9.95
VCPA-IRIV-PLS	18	10	0.928	0.494 1	0.856 7	7.99

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Si-yu AN, Lei ZHANG, Xian-zhao SHANG, Hong-shui YUE, Wen-yuan LIU, Ai-chun JU. Variable Selection Method in the NIR Quantitative Analysis Model of Total Saponins in Red Ginseng Extract[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 206

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