A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor for municipal wastewater treatment

doi:10.1007/s11783-017-0962-2

Front. Environ. Sci. Eng.

2017, Vol. 11

Issue (4) : 12 https://doi.org/10.1007/s11783-017-0962-2

RESEARCH ARTICLE

A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor for municipal wastewater treatment

Chen Qian¹, Wei Chen¹, Wei-Hua Li², Han-Qing Yu¹(

)

¹. CAS Key Laboratory of Urban Pollutant Conversion, Department of Chemistry, University of Science and Technology of China, Hefei 230026, China
². School of Environmental & Energy Engineering, Anhui Jianzhu University, Hefei 230026, China

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Abstract

The defects of PARAFAC were demonstrated when handling real wastewater.

PFFCA method was applied into real wastewater analysis for the first time.

Robustness and interpretability of PFFCA method were validated.

Rapid monitoring of water quality is crucial to the operation of municipal wastewater treatment plants (WWTPs). Fluorescence excitation-emission matrix (EEM) in combination with parallel factor analysis (PARAFAC) has been used as a powerful tool for the characterization of dissolved organic matter (DOM) in WWTPs. However, a recent work has revealed the drawback of PARAFAC analysis, i.e., overestimating the component number. A novel method, parallel factor framework-clustering analysis (PFFCA), has been developed in our earlier work to resolve this drawback of PARAFAC. In the present work, both PARAFAC and PFFCA were used to analyze the EEMs of water samples from a full-scale WWTP from a practical application point of view. The component number and goodness-of-fit from these two methods were compared and the relationship between the relative score change of component and the actual concentration was investigated to evaluate the estimation error introduced by both methods. PFFCA score and actual concentration exhibited a higher correlation coefficient (R² = 0.870) compared with PARAFAC (R²<0.771), indicating that PFFCA provided a more accurate relative change estimation than PARAFAC. The results suggest that use of PARAFAC may cause confusion in selecting the component number, while EEM-PFFCA is a more reliable alternative approach for monitoring water quality in WWTPs.

Keywords Wastewater treatment plants (WWTPs) Excitation-emission matrix (EEM) Parallel factor (PARAFAC) Parallel factor framework-clustering analysis (PFFCA)

Corresponding Author(s): Han-Qing Yu

Issue Date: 27 June 2017

Cite this article:

Chen Qian,Wei Chen,Wei-Hua Li, et al. A chemometric analysis on the fluorescent dissolved organic matter in a full-scale sequencing batch reactor for municipal wastewater treatment[J]. Front. Environ. Sci. Eng., 2017, 11(4): 12.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-017-0962-2
https://academic.hep.com.cn/fese/EN/Y2017/V11/I4/12

Fig.1 Flow chart of (a) PARAFAC and (b) PFFCA

Fig.2 (a) Protein-like and (b) humic-like component decomposed using PFFCA; (c) Residuals of PFFCA method; (d) Protein-like and (e) humic-like component decomposed using PARAFAC with 2 components; and (f) Residuals of 2-factor PARAFAC model

Fig.3 (a)–(b) Humic-like and (c) protein-like components decomposed using PARAFAC with 3 components; and (d) Residuals of 3-factor PARAFAC model

Fig.4 Relationship between PARAFAC/PFFCA scores and protein concentration

Fig.5 Average residuals where protein-like component located in each sample

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