Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
During shortcut biological nitrogen removal in a polluted river, total nitrogen, ammonia nitrogen and nitrite nitrogen were quantified by near infrared spectroscopy and the synergy interval partial least squares (siPLS) algorithm. Spectral data of 138 water samples were obtained with a near infrared spectrometer. In addition, the real values of total nitrogen, ammonia nitrogen and nitrite nitrogen were measured with traditional chemical methods. SiPLS analysis models of total nitrogen, ammonia nitrogen and nitrite nitrogen were built through the siPLS algorithm based on spectral data and realvalues. The results obtained from the siPLS analysis model of total nitrogen revealed that, when the full spectra were divided into 19 intervals, the combination of the 7th, 12th and 19th subintervals yielded the best model. The correction coefficient (Rp) is 0.9931, with the root mean squared error of calibration (RMSECV) being 1.7869. The results obtained from the siPLS analysis model of ammonia nitrogen indicated that, when the full spectra were divided into 16 intervals, the combination of the 1st, 7th, 15th and 16th subintervals yielded the best model. The Rp is 0.9947 and the RMSECV is 1.3419. For nitrite nitrogen, the siPLS analysis model indicated that, when the full spectra were divided into 16 intervals, the combination of the 7th and the 11th subintervals yielded the best model. The Rp and RMSECV was 0.9951 and 1.0518. These findings demonstrated that the proposed approach may effectively analyze the concentrations of total nitrogen, ammonia nitrogen and nitrite nitrogen during the treatment of a polluted river based on shortcut biological nitrogen removal. This approach,which is based on near infrared spectroscopy, is fast and accurate for the detection of different types of nitrogen in water.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Numer
Opis fizyczny
p.2623-2631,fig.,ref.
Twórcy
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Anhui Zhonghuan Environmental Protection Technology Co., Ltd
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
autor
- Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, China
- School of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, China
Bibliografia
- 1. MCDOWELL R.W., HAMILTON D.P. Nutrients and eutrophication: introduction. Marine & Freshwater Research. 64 (5), III, 2013.
- 2. NAN X.J., YE L.L., LIU B., LI D.M. Distribution of nitrogen and phosphorus, assessment of eutrophication for water of tongjia river in Nantong. Journal of Nantong University, (1), 40, 2014.
- 3. ZHANG W.Q., JIN X., LIU D., LANG C., SHAN B.Q. Temporal and spatial variation of nitrogrn and phosphorus and entrophication assessment for a typical arid rival- Fuyang River in northern China. Journal of Environmental Science. (5), 41, 2017.
- 4. HOU J., XIA L., MA T., ZHANG Y., ZHOU Y., HE X. Achieving short-cut nitrification and denitrification in modified intermittently aerated constructed wetland. Bioresource technology. 232, 10, 2017.
- 5. SUI Q., JIANG C., YU D., CHEN M., ZHANG J., WANG Y., WEI Y., Performance of a sequencing-batch membrane bioreactor (SMBR) with an automatic control strategy treating high-strength swine wastewater. Journal of hazardous materials. 342 (1), 210, 2017.
- 6. YAO S., CHEN L., GUAN D., ZHANg Z., TIAN X., WANG A., WANG G., YAO Q., PENG D., LI J. On-site nutrient recovery and removal from source-separated urine by phosphorus precipitation and short-cut nitrificationdenitrification. Chemosphere. 175 (5), 210, 2017.
- 7. LIU M., LIU T., PENG Y., WANG S., XIAO H. Effect of salinity on N2O production during shortcut biological nitrogen removal from landfill leachate. Journal of Bioscience & Bioengineering. 117 (5), 582, 2014.
- 8. REILLY A.O., COFFEY R., GOWEN A., CUMMINS E. Evaluation of near-infrared chemical imaging for the prediction of surface water quality parameters. International Journal of Environmental Analytical Chemistry. 95 (5), 403, 2015.
- 9. FANG L.G., LI J.X., LIU Z.B., TANG C.B., LIANG Z., Online evaluation of water quality by mid-infrared spectroscopy in river network areas of Suzhou City. Journal of Applied Sciences, 13(10), 2013.
- 10. CHEN L., XING L., HAN L. Review of the application of near-infrared spectroscopy technology to determine the chemical composition of animal manure. Journal of Environmental Quality. 42 (4), 1015, 2013.
- 11. YANG R.J, LIU R., XU K.X., YANG Y.R. Quantitative analysis of melamine by multi-way partial least squares model with two-dimensional near-infrared correlation spectroscopy. SPIE BiOS. (1), 393, 2014.
- 12. FANG H.W., ZENG A.M., JIANG, X.M. ZHU A.L., YANG Y. Application of near-infrared spectroscopy combined with chemometrics in food adulteration detection. Journal of Food Safety & Quality. (5), 427, 2012.
- 13. ZHANG Y., XIE Y.L., SUN S.M. Application of nearinfrared spectroscopy combined with chemometrics in oil detection. Cereals & Oils. (1), 66, 2015.
- 14. BORILLE B.T., MARELO M.C., ORTIZ R.S., MARIOTTI K.C., FERRAO M.F., LIMBERGER R.P. Near infrared spectroscopy combined with chemometrics for growth stage classification of cannabis cultivated in a greenhouse from seized seeds. Spectrochimica Acta Part A Molecular & Biomolecular Spectroscopy. 173, 318 016.
- 15. SHEN Q.P., ZHANG T., LIU C.B., PEI H.E., WANG K.M., YANG G.Y., LIU Z.H. Research advances in application of quantitative analysis method of near infrared spectroscopy in chemical components of tobacco and cigarette smoke. Guangdong Agricultural Sciences, (4), 77, 2015.
- 16. MACFHIONNGHAILE P., HU Y., MCARDLE P., ERXLEBEN A. A comprehensive near infrared spectroscopic study of the limits of quantitative analysisof sulfathiazole polymorphism. Journal of Near Infrared Spectroscopy. 21 (1), 55, 2013.
- 17. OSAWA T., ASANO H., MIZONO T., NOZAWA A., TANAKA H., NOMURA S., OKAZAKI T., IDE H. Physiological and psychological evaluations in low- and high-frequency noise using near-infrared spectroscopy. Artificial Life & Robotics. 21 (1), 5, 2016.
- 18. YU L.Y., XIE S.F., ZHANG M., XIANG B.R. Quantitative determination of gliclazide in plasma by near-Infrared spectroscopy compared with tailoring noise frequency spectrum. Journal of AOAC International. 201.
- 19. MAZZILO M., MELLO D., BARBARINO P.P., ROMEO M., MUSIENKO Y., SCIUTO A., LIBERTINO S., LOMBARDO S., FALLICA G. Noise Reduction in Silicon Photomultipliers for Use in Functional Near-Infrared Spectroscopy. IEEE Transactions on Radiation & Plasma Medical Sciences. 1 (3), 212, 2017.
- 20. HUANG J., HUANG S., ZHANG H., HUANG X.H., ZHANG Y., WANG M., ZHU J., WANG K. Near infrared spectroscopy analysis of inorganic nitrogen in shortcut nitrification-denitrification based on interval partial least square, China Environmental Science. 35 (7), 2014, 2015.
- 21. GAO Z.L., YE W.L., ZHENG C.T., WANG Y.D. Waveletdenoising technique in near-infrared methane detection based on tunable diode laser absorption spectroscopy. Optoelectronics Letters. 10 (4), 299, 2014.
- 22. MAPPE-FOGAING I., JOLY L., DURRY G., DUMELIE N., DECARPENTERIE T., COUSIN J., PARVITTE B., ZENINARI V. Wavelet denoising for infrared laser spectroscopy and gas detection. Applied Spectroscopy. 66 (10), 700, 2012.
- 23. ZHENG C.T., YE W.L., HUANG J.Q., CAO T.S., LV M., DANG J.M., WANG Y.D. Performance improvement of a near-infrared CH 4 detection device using waveletdenoising- assisted wavelength modulation technique. Sensors & Actuators B Chemical. 190 (1), 249 2014.
- 24. DAUBECHIES I. The wavelet transform, time-frequency localization and signal analysis. Journal of Renewable & Sustainable Energy. 36 (5), 961, 2015.
- 25. Li Y., Guo M.Y., Shi X.Y., Wu Z.S., Li J.Y., Ma Q., Qiao Y.J. Online near-infrared analysis coupled with MWPLS and SiPLS models for the multi-ingredient and multi-phase extraction of licorice (Gancao). Chinese Medicine. 10(1), 1, 2015.
- 26. LI T.H., SHI G.Y., WANG J.M., WANG M., HU J.L. Prediction of lycopene content in late mature tomato based on NIR spectroscopy and siPLS. International Journal of Applied Mathematics & Statistics. 48 (18), 172, 2013.
- 27. WANG X.F., BAO Y.F., LIU G.L., LI G., LIN L. Study on the best analysis spectral section of NIR to detect alcohol concentration based on siPLS. Procedia Engineering. 29 (4), 2285, 2012.
- 28. ZUO X.B., FANG S., LIANg X.L. Synergy interval Partial Least Square (siPLS) with potentiometric titration multivariate calibration for the simultaneous determination of amino acids in mixtures. Advance Journal of Food Science & Technology. 6 (11), 1209, 2014.
- 29. GUO H.X., ZHU S.Q., LI Y.P., FANG T., HUANG F.R., ZHENG S.F., CHEN Z.Q. Visible-near infrared spectroscopy modeling on the contents of serum bilirubin based on iPLS and SiPLS. Journal of Optoelectronics Laser. 27 (10), 1136, 2016.
- 30. ROCHA J.T.D.C., OLIVEIRA L.M.S.L., DIAS J.C.M., PINTO U.B., MARQUES M.D.L.S.P., OLIVEIRA B.P.D., FILGUEIRAS P.R., CASTRO E.V.R., OLIVEIRA M.A.L.D. Sulfur determination in brazilian petroleum fractions by MIR and NIR using PLS associated to variable selection methods (iPLS, siPLS, UVE and GA). Energy & Fuels, (1), 2015. DOI: 10.1021/acs.energyfuels.5b02463.
- 31. Ruschel C.F.C., Huang C.T., Samios D., Ferrão M.F., Yamamoto C.I., Plocharski R.C.B. Environmentally Friendly Determination of Quality Parameters of Biodiesel/Diesel Blends Using Fourier Transform Infrared Spectra, Journal of the American Oil Chemists Society. 92, 309, 2015.
- 32. SHI J.Y., ZOU X.B., ZHAO J.W., HOLMES M. Near infrared quantitative analysis of total flavonoid content in fresh Ginkgo biloba leaves based on different wavelength region selection methods and partial least squares regression. Journal of Near Infrared Spectroscopy. 20 (2) 295, 2012.
- 33. LU Y.Z., DU C.W., YU C.B., ZHOU J.M. Determination of nitrogen and oil contents in rapeseeds using infrared photoacoustic spectroscopy combined with iPLS and siPLS. Chinese Journal of Analysis Laboratory. 32 (9), 78, 2013.
- 34. MAHANTY B., YOON S.U., KIM C.G. Spectroscopic quantitation of tetrazolium formazan in nano-toxicity assay with interval-based partial least squares regression and genetic algorithm. Chemometrics & Intelligent Laboratory Systems. 154 (3), 16, 2016.
- 35. JIANG H., LIU G., MEI C., YU S., XIAO X., DING Y. , Measurement of process variables in solid-state fermentation of wheat straw using FT-NIR spectroscopy and synergy interval PLS algorithm. Spectrochimica Acta Part A Molecular & Biomolecular Spectroscopy. 97, 277, 2012.
- 36. KANG Q., RU Q., LIU Y., XU L., LIU J., WANG Y., ZHANG Y., LI H., ZHANG Q., WU Q. On-line monitoring the extract process of Fu-fang Shuanghua oral solution using near infrared spectroscopy and different PLS algorithms. Spectrochimica Acta Part A Molecular & Biomolecular Spectroscopy. 152 (1) 431, 2016.
- 37. POERIO D.V., BROWN S.D. Stacked interval sparse partial least squares regression analysis. Chemometrics & Intelligent Laboratory Systems. (7), 49, 2017.
- 38. JOVIC O. Durbin-Watson partial least-squares regression applied to MIR data on adulteration with edible oils of different origins. Food Chemistry. 213, 791, 2016.
- 39. PENG H.G., PENG Y.F., ZHANG Y., LUO H.P., Determination of jujube in south xinjiang by near infrared spectroscopy combined with sipls methods. Food Science And Technology. 39 (6), 276, 2014.
- 40. ZHANG H., QUAN G.J., HUANG J., HUANG X.H., HUANG S., YAN S., LIU P.R., TIAN J.Y. Study on intracelluar polymers using near infrared spectroscopy and extreme laerning machine in denitrifying phosphorus removal process. China Environmental Science. 37 (5), 1823, 2017.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-cfb904d8-9f96-4835-b519-a84ca726ec93