Laser & Optoelectronics Progress, Volume. 59, Issue 23, 2330003(2022)
Type Identification and Concentration Quantitative Analysis of Water-Based Ink Additives Based on Visible/Near-Infrared Spectroscopy
Figures & Tables(9)
Fig. 2. Principal component score distributions of each spectrum interval of different additives. (a) 380-500 nm; (b) 501-616 nm; (c) 617-726 nm; (d) 727-831 nm
Fig. 3. Correlation between measured value and predicted value of concentration of alcohol additives
Fig. 4. Correlation between measured value and predicted value of concentration of toning yellow additives
Fig. 5. Correlation between measured value and predicted value of concentration of toning red additive
Table 1. Mass fraction of additives added in ink
View tableTable 1. Mass fraction of additives added in ink
No. Mass fraction of alcohol /% No. Mass fraction of toning yellow /% No. Mass fraction of toning red /% B1 0 C1 0 D1 0 B2 5.36 C2 1.75 D2 2.37 B3 10.21 C3 3.91 D3 4.10 B4 15.37 C4 6.02 D4 5.94 B5 22.03 C5 7.82 D5 7.81 B6 24.93 C6 9.93 D6 9.57 B7 30.54 C7 12.53 D7 11.19 B8 35.20 C8 14.36 D8 12.21 B9 40.64 C9 16.13 D9 14.20 B10 44.94 C10 18.03 D10 15.49
Table 2. Principal component analysis cumulative variance contribution rate
View tableTable 2. Principal component analysis cumulative variance contribution rate
Feature interval /nm Principal component factor Variance contribution rate /% Cumulative variance contribution rate /% 380-980 PC1 61.542 61.542 PC2 27.871 89.413 PC3 9.388 98.801 380-500 PC1 93.856 93.799 PC2 2.827 96.626 501-616 PC1 94.657 94.657 PC2 4.683 99.340 617-726 PC1 85.717 85.717 PC2 14.192 99.909 727-831 PC1 99.574 99.574 PC2 0.224 99.798
Table 3. Comparison of quantitative cross-validation of PLS under different pretreatment methods
View tableTable 3. Comparison of quantitative cross-validation of PLS under different pretreatment methods
Types of additives method
Preprocessing
Number of main factors Calibration set Prediction set Rc2 RMSEC Rp2 RMSEP Alcohol Mapminmax 1 0.924 0.054 0.970 0.027 Smoothts-g 1 0.924 0.054 0.979 0.022 1st 1 0.909 0.059 0.993 0.013 2st 1 0.706 0.106 0.939 0.039 SG 1 0.924 0.054 0.970 0.027 SNV 1 0.916 0.057 0.910 0.047 Toning yellow Mapminmax 1 0.893 0.026 0.936 0.017 Smoothts-g 1 0.923 0.022 0.977 0.010 1st 1 0.972 0.013 0.987 0.008 2st 1 0.733 0.041 0.763 0.026 SG 1 0.897 0.023 0.950 0.012 SNV 1 0.923 0.021 0.979 0.008 Toning red Mapminmax 1 0.627 0.041 0.906 0.016 Smoothts-g 1 0.973 0.011 0.998 0.002 1st 1 0.537 0.046 0.799 0.024 2st 1 0.929 0.018 0.901 0.017 SG 1 0.569 0.044 0.787 0.024 SNV 1 0.938 0.017 0.977 0.008
Table 4. Comparison of iPLS modeling results in different bands
View tableTable 4. Comparison of iPLS modeling results in different bands
Types of additives Interval selection /nm method
Preprocessing
Calibration set Prediction set Rc2 RMSEC Rp2 RMSEP Alcohol 380-500 Smoothts-g 0.9223 0.0547 0.9798 0.0223 501-616 0.9237 0.0542 0.9790 0.0227 617-726 0.9242 0.0540 0.9785 0.0230 727-831 0.9235 0.0565 0.9781 0.0237 Toning yellow 380-500 1st 0.9772 0.0119 0.9771 0.0010 501-616 0.9785 0.0116 0.9843 0.0083 617-726 0.8794 0.0275 0.9821 0.0089 727-831 0.9722 0.0132 0.9870 0.0075 Toning red 380-500 Smoothts-g 0.9518 0.0148 0.9948 0.0038 501-616 0.9510 0.0149 0.9929 0.0036 617-726 0.9533 0.0145 0.9932 0.0043 727-831 0.9518 0.0147 0.9946 0.0039
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Yongli Bai, Xinguo Huang, Shanshan Zhang, Xian Leng, Yunfei Zhong, Nan Peng, Xiaochun Xie, Nan Peng. Type Identification and Concentration Quantitative Analysis of Water-Based Ink Additives Based on Visible/Near-Infrared Spectroscopy[J]. Laser & Optoelectronics Progress, 2022, 59(23): 2330003
Paper Information
Category: Spectroscopy
Received: Aug. 25, 2022
Accepted: Oct. 9, 2022
Published Online: Nov. 28, 2022
The Author Email: Xinguo Huang (huangxinguo@hut.edu.cn)
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