Detection of dissolved organic matter in saline–alkali soils using synchronous fluorescence spectroscopy and principal component analysis

Guo, Xujing; Yuan, Donghai; Jiang, Jinyuan; Zhang, Hui; Deng, Yu

doi:10.1016/j.saa.2012.11.081

Cited by 45 publications

(11 citation statements)

References 37 publications

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“…Moreover, parallel factor analysis (PARAFAC) coupled with 3D-EEM is developed to quantitative and qualitative analyses of complex mixtures in the field of water or wastewater treatment 12 . Specifically, synchronous fluorescence spectroscopy is successfully applied to determination of multi-component present in the DOM without pre-separation 13 . Additionally, two-dimensional correlation spectroscopy (2D-COS) application in synchronous fluorescence has recently been widely used in some aquatic environments to resolve the overlapped peaks problem by extending spectra along the second dimension 12 .…”

mentioning

confidence: 99%

A Fluorescence Approach to Assess the Production of Soluble Microbial Products from Aerobic Granular Sludge Under the Stress of 2,4-Dichlorophenol

Wei

Dong

et al. 2016

Sci Rep

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In this study, a fluorescence approach was used to evaluate the production of soluble microbial products (SMP) in aerobic granular sludge system under the stress of 2,4-dichlorophenol (2,4-DCP). A combined use of three-dimension excitation emission matrix fluorescence spectroscopy (3D-EEM), Parallel factor analysis (PARAFAC), synchronous fluorescence and two-dimensional correlation spectroscopy (2D-COS) were explored to respect the SMP formation in the exposure of different doses of 2,4-DCP. Data implied that the presence of 2,4-DCP had an obvious inhibition on biological nitrogen removal. According to EEM-PARAFAC, two fluorescent components were derived and represented to the presence of fulvic-like substances and humic-like substances in Component 1 and protein-like substances in Component 2. It was found from synchronous fluorescence that protein-like peak presented slightly higher intensity than that of fulvic-like peak. 2D-COS further revealed that fluorescence change took place sequentially in the following order: protein-like fraction > fulvic-like fraction. The obtained results could provide a potential application of fluorescence spectra in the released SMP assessment in the exposure of toxic compound during wastewater treatment.

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mentioning

confidence: 99%

A Fluorescence Approach to Assess the Production of Soluble Microbial Products from Aerobic Granular Sludge Under the Stress of 2,4-Dichlorophenol

Wei

Dong

et al. 2016

Sci Rep

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“…. The results showed the relationship between PCs and fluorophores, that contributes to the variance in the spectrum signals . PC1 showed a primary peak at 279 nm (P1), which was related to protein‐like substances, specifically tyrosine , and a second peak located at 338 nm (P2), which was associated with fulvic‐like acid.…”

Section: Resultsmentioning

confidence: 98%

“…Various statistical methods ( e.g ., PCA, HCA) were used to evaluate the characteristics of the samples by SPSS 17.0 (Chicago, IL). PCA was used to identify the principal components that can be interpreted as “type” spectra and permit the identification of compounds in DOM samples . The potential non‐independent data, however, can affect the results of PCA.…”

Section: Methodsmentioning

confidence: 99%

Characterization of Dissolved Organic Matter in Lake Baiyangdian Using Spectroscopic Techniques and Multivariate Statistical Analysis

Cui

Yuan

Guo

et al. 2016

CLEAN Soil Air Water

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Dissolved organic matter (DOM) collected from the surface and overlying waters in different functional regions in Lake Baiyangdian were analyzed by spectroscopic techniques combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA), to interpret water quality, and sources of pollutants. The results showed that the deterioration of water quality has intensified at river estuary and aquaculture area. Meanwhile, these regions dominated by plants had relatively low dissolved oxygen concentrations. UV-vis spectra showed lower humification degree and simpler molecular structure in the DOM collected from the pollutant-receiving region. The analysis of PCA combined with synchronous fluorescence spectra yielded two principal components (PCs) that account for 99.44% of the variance. PC1 showed a dominant protein-like fluorophore at 279 nm and PC2 was characterized by dominated fulvic-like fluorophores (325 and 331 nm). The results of PCA indicated that DOM collected from the river estuary, the aquaculture region, and the eutrophication area exhibited a higher protein-like fluorophore, and higher PC1 and lower PC2 loadings (PC1 > 0.7, PC2 < 0.4). Meanwhile, a higher fulvic-like fluorophore existed in the DOM samples collected from a clean region (PC1 < 0.4, PC2 > 0.7). HCA identified four clusters that accorded with the PCA results. This study suggested that water quality and the sources, and spectral characteristics of DOM were influenced mainly by human activities (agriculture, industrial, and domestic wastewater from upstream, food and excrement from aquaculture) and natural processes (aquatic-plant and microorganism activities).

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“…Complementary to the FEEM spectra, synchronous fluorescence spectroscopy (SFS) shows advantages of better spectral deconvolution, light dispersion reduction, and well-resolved peaks and shoulders (Guo et al, 2013;Costa et al, 2016). Coupling two-dimensional correlations to SFS (2D-SFS) produces a powerful chemometric tool that can resolve superimposed peaks by extrapolating them to the second dimension.…”

Section: Introductionmentioning

confidence: 99%

Investigating the fate of natural organic matter at a drinking water treatment plant in South Africa using optical spectroscopy and chemometric analysis

Moyo

Chaukura

Motsa

et al. 2020

WSA

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The removal dynamics of biodegradable dissolved organic carbon (BDOC) and natural organic matter (NOM) polarity fractions at a water treatment plant (WTP) in South Africa was studied using UV-Vis absorbance, fluorescence excitation-emission matrix, and two-dimensional synchronous fluorescence spectroscopy (SFS). This study gave insights into the transformation of NOM due to treatment processes. The objectives of the study were: (i) to use chemometric analysis and two-dimensional SFS correlations to investigate the evolution of NOM arising from treatment processes, and (ii) to access the chemical profile dynamics of polarity and BDOC fractions throughout the treatment train. The UV254 absorbance, which indicates aromaticity, reduced by 45% along the WTP. Gaussian fitting of UV-Vis data showed a decreasing trend in intensity and number of bands along the treatment process. The removal efficiency of NOM components followed the order: humic-like (HL) > tyrosine-like (TYL) > fulvic-like (FL) > tryptophan-like (TPL) > microbial-like (MBL). At the source, the relative distribution of the hydrophobic (HPO), hydrophilic (HPI), and transphilic (TPI) fractions was 45%, 31%, and 24%, respectively. The HPI was recalcitrant to treatment, and the TYL component of the HPI fraction was conjectured to be a disinfection byproduct limiting reagent. The HL and FL components of the BDOC fraction were the major substrates for bacterial growth. According to two-dimensional-SFS correlation, TYL, TPL, and MBL varied concurrently across the treatment stages. Used for the first time in South Africa, the robustness of a multi-dimensional approach of optical methods coupled with chemometric tools for the assessment of the fate of NOM along the treatment processes was revealed by this study.

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Detection of dissolved organic matter in saline–alkali soils using synchronous fluorescence spectroscopy and principal component analysis

Cited by 45 publications

References 37 publications

A Fluorescence Approach to Assess the Production of Soluble Microbial Products from Aerobic Granular Sludge Under the Stress of 2,4-Dichlorophenol

A Fluorescence Approach to Assess the Production of Soluble Microbial Products from Aerobic Granular Sludge Under the Stress of 2,4-Dichlorophenol

Characterization of Dissolved Organic Matter in Lake Baiyangdian Using Spectroscopic Techniques and Multivariate Statistical Analysis

Investigating the fate of natural organic matter at a drinking water treatment plant in South Africa using optical spectroscopy and chemometric analysis

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