Construction and Verification of a Mathematical Model for Near-Infrared Spectroscopy Analysis of Gel Consistency in Southern <i>Indica</i> Rice

Hong-mei LIU; Tao SHEN; Wen-yi ZHANG; Xi-wen SHI; Tao DAI; Tao BAI; Ying-hui XIAO

doi:10.3964/j.issn.1000-0593(2021)08-2432-05

Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2432(2021)

Construction and Verification of a Mathematical Model for Near-Infrared Spectroscopy Analysis of Gel Consistency in Southern Indica Rice

Hong-mei LIU^*, Tao SHEN, Wen-yi ZHANG, Xi-wen SHI, Tao DAI, Tao BAI, and Ying-hui XIAO^*;

Author Affiliations

College of Agronomy, Hunan Agricultural University, Changsha 410128, China

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Figures & Tables(8)

Fig. 1. Near infrared spectra of the calibration samples

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Fig. 2. The leverage and residual of rice gel consistency by near infrared analysis

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Fig. 3. The correlation of predicted value and chemical value of rice gel consistency established by regression model

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Table 1. The chemical value of rice gel consistency
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Table 1. The chemical value of rice gel consistency
样本样品数量胶稠度/mm 平均值/mm 标准差/mm
校正集 107 43.0~94.0 71.0 12.2
验证集 30 43.5~88.0 70.8 11.5

Table 2. Evaluation indexes of NIR model of rice gel consistency under different treatments

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Table 2. Evaluation indexes of NIR model of rice gel consistency under different treatments

预处理	主因子	校正集			验证集			RPD
预处理	主因子	R	SEC	RMSEC	r	SECV	RMSECV	RPD
无处理	6	0.970 0	2.973 6	2.959 6	0.962 6	3.313 4	3.298 0	3.699 2
SNV	7	0.947 2	3.919 6	3.901 2	0.936 0	4.304 5	4.284 4	2.847 5
MSC	7	0.947 0	3.928 5	3.910 1	0.934 6	4.349 4	4.329 1	2.818 1
平滑	6	0.970 0	2.971 8	2.957 9	0.964 2	3.242 1	3.227 1	3.780 5
一阶导数	5	0.951 2	3.774 2	3.756 5	0.941 0	4.138 4	4.119 0	2.961 9
二阶导数	6	0.971 7	2.888 6	2.875 1	0.930 3	4.498 7	4.478 3	2.724 2
SNV+MSC	7	0.947 0	3.928 5	3.910 1	0.933 8	4.376 8	4.359 2	2.798 7
MSC+平滑	8	0.954 7	3.638 8	3.621 7	0.941 8	4.112 3	4.094 0	2.980 0
SNV+平滑	7	0.946 3	3.951 3	3.932 8	0.932 7	4.414 3	4.394 0	2.776 5
SNV+1阶	4	0.943 0	4.069 9	4.050 8	0.928 1	4.552 7	4.531 5	2.692 3
SNV+2阶	5	0.960 1	3.420 1	3.404 1	0.925 1	4.645 3	4.623 7	2.638 6
MSC+1阶	4	0.943 0	4.070 0	4.051 0	0.932 7	4.409 3	4.388 6	2.779 9
MSC+2阶	5	0.960 0	3.423 6	3.407 6	0.923 5	4.691 1	4.669 2	2.612 9
平滑+1阶	5	0.948 5	3.873 1	3.855 0	0.938 3	4.227 7	4.207 9	2.899 3
平滑+2阶	5	0.951 1	3.777 6	3.759 9	0.930 3	4.488 5	4.468 1	2.730 5
MSC+平滑+1阶	4	0.939 0	4.205 8	4.186 1	0.927 5	4.570 4	4.549 3	2.681 7
MSC+平滑+2阶	4	0.944 5	4.017 3	3.998 5	0.932 1	4.430 6	4.410 4	2.766 2
SNV+平滑+1阶	4	0.939 0	4.206 0	4.186 3	0.927 3	4.574 9	4.554 4	2.678 7
SNV+平滑+2阶	4	0.944 6	4.013 8	3.995 0	0.928 3	4.546 5	4.526 3	2.695 4
平滑+1阶+2阶	6	0.961 4	3.363 4	3.347 6	0.933 0	4.408 2	4.387 7	2.780 5

Table 3. Evaluation Indexes of near infrared analysis models of rice gel consistency at different wavelength bands

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Table 3. Evaluation Indexes of near infrared analysis models of rice gel consistency at different wavelength bands

波长段/nm	主因子	校正集			验证集			RPD
波长段/nm	主因子	R	SEC	RMSEC	r	SECV	RMSECV	RPD
950~1 100	7	0.718 4	8.503 9	8.464 1	0.545 8	10.481 4	10.433 1	1.169 4
1 100~1 300	8	0.942 1	4.099 1	4.079 9	0.923 3	4.721 8	4.699 9	2.595 8
1 300~1 650	9	0.953 8	3.672 6	3.655 4	0.942 1	4.101 1	4.082 0	2.988 7
950~1 300	10	0.957 4	3.529 4	3.512 8	0.938 7	4.218 0	4.198 2	2.906 0
1 100~1 650	7	0.969 4	3.003 0	2.989 0	0.963 8	3.261 1	3.245 9	3.758 6
950~1 650	6	0.970 0	2.971 8	2.957 9	0.963 2	3.287 7	3.272 6	3.727 9

Table 4. Predicted value and chemical value of validation set

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Table 4. Predicted value and chemical value of validation set

样品	预测值	化学值	绝对误差	样品	预测值	化学值	绝对误差
1	48.294 5	43.5	4.794 5	16	75.904 8	73.0	2.904 8
2	52.380 1	47.5	4.880 1	17	70.315 9	74.0	3.684 1
3	57.740 7	53.5	4.240 7	18	71.725 1	74.5	2.774 9
4	54.501 1	56.0	1.498 9	19	70.693 6	76.5	5.806 4
5	55.580 0	57.0	1.420 0	20	75.629 2	77.0	1.370 8
6	57.957 7	60.5	2.542 3	21	78.783 3	78.0	0.783 3
7	57.957 7	62.5	4.542 3	22	76.977 8	79.5	2.522 2
8	63.698 6	63.5	0.198 6	23	74.497 6	81.0	6.502 4
9	67.740 0	64.5	3.240 0	24	84.062 9	81.5	2.562 9
10	66.835 4	65.5	1.335 4	25	77.737 6	82.5	4.762 4
11	68.602 2	67.0	1.602 2	26	87.601 7	83.0	4.601 7
12	73.697 1	68.0	5.697 1	27	83.284 8	84.5	1.215 2
13	64.304 1	68.5	4.195 9	28	83.049 9	85.0	1.950 1
14	71.836 8	70.5	1.336 8	29	82.190 9	86.0	3.809 1
15	73.229 0	72.0	1.229 0	30	89.367 6	88.0	1.367 6

Table 5. Paired t test of model prediction value and chemical value of rice gel consistency in validation set
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Table 5. Paired t test of model prediction value and chemical value of rice gel consistency in validation set
验证集样本(30个)
指标 t检验自由度 sig.(双侧) 均值差值 95%置信区间
下限上限
统计值 -0.353 29 0.726 0.643 33 -1.543 17 1.088 35

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Hong-mei LIU, Tao SHEN, Wen-yi ZHANG, Xi-wen SHI, Tao DAI, Tao BAI, Ying-hui XIAO. Construction and Verification of a Mathematical Model for Near-Infrared Spectroscopy Analysis of Gel Consistency in Southern Indica Rice[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2432

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Paper Information

Category: Research Articles

Received: Jun. 28, 2020

Accepted: --

Published Online: Sep. 8, 2021

The Author Email: LIU Hong-mei (liuhongmei@hunau.edu.cn)

DOI:10.3964/j.issn.1000-0593(2021)08-2432-05

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. The chemical value of rice gel consistency

Table 1. The chemical value of rice gel consistency

Table 2. Evaluation indexes of NIR model of rice gel consistency under different treatments

Table 2. Evaluation indexes of NIR model of rice gel consistency under different treatments

Table 3. Evaluation Indexes of near infrared analysis models of rice gel consistency at different wavelength bands

Table 3. Evaluation Indexes of near infrared analysis models of rice gel consistency at different wavelength bands

Table 4. Predicted value and chemical value of validation set

Table 4. Predicted value and chemical value of validation set

Table 5. Paired t test of model prediction value and chemical value of rice gel consistency in validation set

Table 5. Paired t test of model prediction value and chemical value of rice gel consistency in validation set