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Qiu J, Guo H, Xue Y, Liu Q, Xu Z, He L. Rapid detection of chemical oxygen demand, pH value, total nitrogen, total phosphorus, and ammonia nitrogen in biogas slurry by near infrared spectroscopy. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:3902-3914. [PMID: 37525934 DOI: 10.1039/d3ay00436h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Effective treatment of sewage requires accurate measurement of important water quality parameters, such as chemical oxygen demand (COD), pH value, total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (NH3-N). Traditional detection techniques can result in secondary contamination and are time- and labor-intensive. Near infrared spectroscopy was used in this study to create a model of these parameters of pig manure anaerobic fermentation sewage. The models' viability for quickly estimating the aforementioned water quality characteristics was reviewed, and the models' performance in predicting the results of several samples (biogas slurry, supernatant, and biogas residue) was contrasted. By analyzing the near infrared spectrograms with a spectral range of 4000 cm-1 and 12 500 cm-1 and using second derivative (SD), Savitzky-Golay smoothing (SG) and standard normal variable (SNV) to preprocess the spectra, partial least squares (PLS) was selected to establish the prediction model. The results showed that the effect of the NIR model constructed from the supernatant was better than that of biogas slurry and biogas residue. The determination coefficients for COD, pH value, NH3-N and TN were 0.69, 0.87, 0.81, and 0.94, respectively. This study could provide reference for on-line monitoring of wastewater in the future.
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Affiliation(s)
- Jialing Qiu
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China.
- Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, 610041, Chengdu, China.
| | - Hairong Guo
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China.
- Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, 610041, Chengdu, China.
| | - Yinghao Xue
- Key Laboratory of Technology and Model for Cyclic Utilization from Agricultural Resources, Rural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, 100125, Beijing, China.
| | - Qingyu Liu
- College of Engineering, Shenyang Agricultural University, Shenyang, 110866, China.
- Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, 610041, Chengdu, China.
| | - Zhiyu Xu
- Key Laboratory of Technology and Model for Cyclic Utilization from Agricultural Resources, Rural Energy and Environment Agency, Ministry of Agriculture and Rural Affairs, 100125, Beijing, China.
| | - Li He
- Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, 610041, Chengdu, China.
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Evaluation of hydrologic and meteorological impacts on dengue fever incidences in southern Taiwan using time-frequency analysis methods. ECOL INFORM 2018. [DOI: 10.1016/j.ecoinf.2018.05.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Zoccola M, Boschi A, Arosio C, Mossotti R, Innocenti R, Freddi G. Silk grafting with methacrylamide: A near-infrared spectroscopy study. J Appl Polym Sci 2010. [DOI: 10.1002/app.33154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Sousa AC, Lucio MMLM, Bezerra Neto OF, Marcone GPS, Pereira AFC, Dantas EO, Fragoso WD, Araujo MCU, Galvão RKH. A method for determination of COD in a domestic wastewater treatment plant by using near-infrared reflectance spectrometry of seston. Anal Chim Acta 2007; 588:231-6. [PMID: 17386815 DOI: 10.1016/j.aca.2007.02.022] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2006] [Revised: 02/07/2007] [Accepted: 02/13/2007] [Indexed: 10/23/2022]
Abstract
This paper proposes a method for determination of chemical oxygen demand (COD) in domestic wastewater. The proposed method is based on near-infrared reflectance (NIRR) measurements of seston collected from wastewater samples by filtration. The analysis does not require any special reagent, catalyst or solvent. Inherent baseline and noise features present in NIRR spectra are removed by a Savitzky-Golay derivative procedure followed by wavelet denoising. The resulting wavelet approximation coefficients are used for partial-least-squares modelling and subsequent prediction of COD values in new samples. The model is calibrated by using COD values obtained according to the American Public Health Association (APHA) reference method. The proposed method is applied to effluent samples from the anaerobic ponds of the Mangabeira municipal wastewater treatment plant in the city of João Pessoa (Paraíba, Brazil). By comparing the NIRR prediction results with the APHA reference values, a root-mean-square error of prediction (RMSEP) of 19 mg O2 L(-1) and a correlation of 0.97 were obtained. Such results are deemed adequate in view of the joint estimate of the standard error of the reference method, which was calculated as 21 mg O2 L(-1).
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Affiliation(s)
- Antonio C Sousa
- Departamento de Química, Universidade Federal da Paraíba, João Pessoa, PB, Brazil
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Gaiao EDN, Martins VL, Lyra WDS, de Almeida LF, da Silva EC, Araújo MCU. Digital image-based titrations. Anal Chim Acta 2006; 570:283-90. [PMID: 17723410 DOI: 10.1016/j.aca.2006.04.048] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2005] [Revised: 04/08/2006] [Accepted: 04/11/2006] [Indexed: 11/28/2022]
Abstract
The exploitation of digital images obtained from a CCD camera (WebCam) as a novel instrumental detection technique for titration is proposed for the first time. Named of digital image-based (DIB) titration, it also requires, as a traditional titration (for example, spectrophotometric, potentiometric, conductimetric), a discontinuity in titration curves where there is an end point, which is associated to the chemical equivalence condition. The monitored signal in the DIB titration is a RGB-based value that is calculated, for each digital image, by using a proposed procedure based on the red, green, and blue colour system. The DIB titration was applied to determine HCl and H3PO4 in aqueous solutions and total alkalinity in mineral and tap waters. Its results were compared to the spectrophotometric (SPEC) titration and, by applying the paired t-test, no statistic difference between the results of both methods was verified at the 95% confidence level. Identical standard deviations were obtained by both titrations in the determinations of HCl and H3PO4, with a slightly better precision for DIB titration in the determinations of total alkalinity. The DIB titration shows to be an efficient and promising tool for quantitative chemical analysis and, as it employs an inexpensive device (WebCam) as analytical detector, it offers an economically viable alternative to titrations that need instrumental detection.
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Affiliation(s)
- Edvaldo da Nobrega Gaiao
- Universidade Federal da Paraíba, CCEN, Departamento de Química, P. Box: 5093, 58051-970 João Pessoa, PB, Brazil
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