|
|
|
|
|
|
Multivariate Calibration of a UV-Vis Spectrophotometer Used for Online Measurements of Chemical Oxygen Demand in Dyeing Wastewater |
MAI Wei1, 2, ZHAO Xiao-ming1, 2, ZHANG Jian-fei1, 2*, XU Zhi-wei1, 2, LI Zheng1, 2 |
1. School of Textiles, Tianjin Polytechnic University, Tianjin 300387, China
2. Key Laboratory of Advanced Textile Composites (Tianjin Polytechnic University), Ministry of Education, Tianjin 300387, China |
|
|
Abstract In order to realize the on-line measurement of chemical oxygen demand (COD) in dyeing wastewater after sewage treatment, and to overcome the disadvantages of the standard method and the rapid spectrophotometric method, a COD detection method based on UV-Vis spectroscopy with multivariate calibration was developed in this study. The mixtures of dyes were selected as the researching examples. A novel self-developed optical fibre sensor system was used to directly measure UV-Vis spectroscopy of dye solution. The system could realize on-line in-situ detection of the spectrum for higher concentration solution, without sampling and dilution process. In this study, both methods, principal component regression (PCR) and partial least squares (PLS), were used to develop regression models (Absorbance-COD) respectively to predict COD of training set and prediction set after the spectrum preprocessing including z-score, smoothing, 1st derivation, etc. With experiments using mixtures of dyes solution, the results show that PCR model with z-score preprocessing performed best in the three preprocessing methods (0.961 for determination coefficient R2, 21.8 for root mean square error of prediction (RMSEP)). Further study identified that using z-score, PLS model (0.974 for R2, 19.6 for RMSEP) achieved better results than PCR did. The results indicated that without the process of digestion, it was feasible to use UV-Vis combined with z-score preprocessing and PLS calibration for COD detection. The method could apply to the rapid and accurate determination of COD in mixtures dyes solution and proved to be successful in enhancing the prediction performance of COD and showed good potential to be applied in on-line water quality monitoring. The overall results showed that the self-developed system could be applied to on-line detection of COD in mixtures dyes solution. This study laid a foundation for further implementation of on-line in-situ detection of COD and other water quality parameters of dyeing wastewater.
|
Received: 2016-10-09
Accepted: 2017-02-11
|
|
Corresponding Authors:
ZHANG Jian-fei
E-mail: tjpu_zhang@163.com
|
|
[1] REN Nan-qi, ZHOU Xian-jiao, GUO Wan-xi, et al(任南琪,周显娇,郭婉茜,等). CIESC Journal(化工学报), 2013, 64(1): 84.
[2] GUO Peng-ran, PAN Jia-chuan, LEI Yong-qian, et al(郭鹏然,潘佳钏,雷永乾,等). Chinese Journal of Analytical Chemistry(分析化学), 2015, 43(5): 748.
[3] YU Xiao-ya, ZHANG Yu-jun, YIN Gao-fang, et al(余晓娅,张玉钧,殷高方,等). Acta Optica Sinica(光学学报), 2014, 34(9): 294.
[4] stergaard J, Wu J X, Naelap K, Boetker J P, et al. Journal of Pharmaceutical Sciences, 2014, 103(4): 1149.
[5] Agustsson J, Akermann O, Barry D A, et al. Environmental Sciences Processes & Impacts, 2014, 16(8): 1897.
[6] Vinyard A, Hansen K A, Byrd R, et al. Applied Spectroscopy, 2014, 68(68): 118.
[7] Ferreira F. Urban Water Journal, 2014, 11(4): 261.
[8] Palit M, Tudu B, Bhattacharyya N. Anal. Chim. Acta, 2010, 675: 8.
[9] Cumpson P J, Sano N, Fletcher I W, et al. Surface & Interface Analysis, 2015, 47(10): 986.
[10] Chen B, Wu H, Li S. Talanta, 2014, 120: 325. |
[1] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[2] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
[3] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
[4] |
WANG Bin1, 2, ZHENG Shao-feng2, GAN Jiu-lin1, LIU Shu3, LI Wei-cai2, YANG Zhong-min1, SONG Wu-yuan4*. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2124-2131. |
[5] |
CHENG Xiao-xiang1, WU Na2, LIU Wei2*, WANG Ke-qing2, LI Chen-yuan1, CHEN Kun-long1, LI Yan-xiang1*. Research on Quantitative Model of Corrosion Products of Iron Artefacts Based on Raman Spectroscopic Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2166-2173. |
[6] |
ZHANG Mei-zhi1, ZHANG Ning1, 2, QIAO Cong1, XU Huang-rong2, GAO Bo2, MENG Qing-yang2, YU Wei-xing2*. High-Efficient and Accurate Testing of Egg Freshness Based on
IPLS-XGBoost Algorithm and VIS-NIR Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1711-1718. |
[7] |
XU Wei-xin, XIA Jing-jing, WEI Yun, CHEN Yue-yao, MAO Xin-ran, MIN Shun-geng*, XIONG Yan-mei*. Rapid Determination of Oxytetracycline Hydrochloride Illegally Added in Cattle Premix by ATR-FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 842-847. |
[8] |
LI Zi-yi1, LI Rui-lan1, LI Can-lin1, WANG Ke-ru2, FAN Jiu-yu3, GU Rui1*. Identification of Tibetan Medicine Zhaxun by Infrared Spectroscopy
Combined With Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 526-532. |
[9] |
LI Wen, CHEN Yin-yin*, LUO Xue-ke, HE Na. Research on Testing NH3-N and COD in Water Quality Based on
Continuous Spectroscopy Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 254-259. |
[10] |
WANG Chao1, LIU Yan1*, XIA Zhen-zhen2, WANG Qiao1, DUAN Shuo1. Fast Evaluation of Freshness in Crayfish (Prokaryophyllus clarkii) Cased on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 156-161. |
[11] |
ZHAO Jian-ming, YANG Chang-bao, HAN Li-guo*, ZHU Meng-yao. The Inversion of Muscovite Content Based on Spectral Absorption
Characteristics of Rocks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 220-224. |
[12] |
LI Qing-bo1, BI Zhi-qi1, CUI Hou-xin2, LANG Jia-ye2, SHEN Zhong-kai2. Detection of Total Organic Carbon in Surface Water Based on UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3423-3427. |
[13] |
OUYANG Ai-guo, LIN Tong-zheng, HU Jun, YU Bin, LIU Yan-de. Optimization of Hardness Testing Model of High-Speed Iron Wheel by Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3109-3115. |
[14] |
YUAN Ke-yan 1, WANG Rong2, WANG Xiang-xiang2, XUE Li-ping2, YU Li2*. Identification and Restoration of Pseudo-Hydrolyzed Animal Protein of Lacteus Camelus Based on iPLS Model of Near-Infrared Measurement Spectrum of 6 mm Detection Plate[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3143-3147. |
[15] |
HU Yu-xia1, CHEN Jie1, SHAO Hui1, YAN Pu1, XU Heng1, SUN Long1, XIAO Xiao1, XIU Lei3, FENG Chun2GAN Ting-ting2, ZHAO Nan-jing2*. Research Progress of Spectroscopy Detection Technologies for Waterborne Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2672-2678. |
|
|
|
|