Application of chemometric methods in the evaluation of chemical and spectroscopic data on organic matter from Oxisols in sewage sludge applications

Santos, Lucas da Silva; Simões, Marcelo Luiz; Melo, Wanderley José de; Martin‐Neto, Ladislau; Pereira-Filho, Edenir Rodrigues

doi:10.1016/j.geoderma.2009.12.006

Cited by 69 publications

(22 citation statements)

References 40 publications

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“…Component 1 showed a red shift compared to components 2 and 3, indicating relatively complex structural materials with a high degree of conjugation. Fluorescence signals of organic substances at long wavelengths are associated with complex structural materials with a high degree of conjugation, whereas signals at short wavelengths are related to simple structural components with a low degree of aromatic polycondensation [45]. Component 2 showed low F max values in the anaerobic digestion process.…”

Section: Eem-parafac Components Of Effluent Dommentioning

confidence: 99%

Characterization of Dissolved Organic Matter from Effluents in a Dry Anaerobic Digestion Process Using Spectroscopic Techniques and Multivariate Statistical Analysis

Guo

Chen

et al. 2016

Waste Biomass Valor

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Dissolved organic matter (DOM) collected from a garage-type dry fermentation system was investigated using UV-Vis absorption and fluorescence spectroscopy. Spectral parameters A 253/203 , biological index and fluorescence index were used to assess the structural characteristics and sources of effluent DOM. The results showed that aromatic rings highly substituted with hydroxyl, carbonyl, ester and carboxylic groups were obtained in the aerobic decomposition stage, and microbially derived organic matter dominated in the dry anaerobic digestion process, suggesting that the hydrolysis of organic macromolecules (lignin) in the aerobic decomposition resulted in the formation of water-soluble intermediates which can be easily assimilated and metabolized by microbial cells in dry anaerobic digestion process. PARAFAC of the excitation-emission matrix spectra revealed five fluorescent components occurring in effluent DOM: four humic-like components (C1-C4) and one protein-like component (C5). The F max values of components 1, 2, 3 and 5 showed large fluctuation than that of component C4, suggested the formation and degradation of these components. Component C4, with high aromatic content and higher degree of humification, was more difficult to be utilized and degraded by microorganisms than other components. The PAR-AFAC-PCA displayed three PCA factors (factors 1, 2 and 3), which accounted for 34.51, 34.20 and 31.11 %, respectively, of the variance in fluorescent components. Humic-like component C4 showed positive factor 1 loadings. Factor 2 was mainly explained by the tryptophan-like component C5. The humic-like components 1, 2 and 3 concurrently showed a relatively high factor 3 loading. The PARAFAC-PCA in this study could separate the characteristics of the DOM fluorescent component namely the source strength of the humic-like components versus the contributions of protein-like components in the total fluorescence analyses.

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Section: Eem-parafac Components Of Effluent Dommentioning

confidence: 99%

Characterization of Dissolved Organic Matter from Effluents in a Dry Anaerobic Digestion Process Using Spectroscopic Techniques and Multivariate Statistical Analysis

Guo

Chen

et al. 2016

Waste Biomass Valor

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“…This usually is implemented by employing both linear and non-linear MVA for qualitative and quantitative applications. Some linear MVA techniques that have been adopted include multiple linear regression (MLR), principal component regression (PCR), partial least-squares (PLS) regression analysis and penalised spline while the non-linear models include artificial neural network (ANN), support vector machine (SVM), boosted regression trees (BRT), random forest (RF), and wavelet Okparanma and Mouazen, 2013b;Gammoun et al, 2006Gammoun et al, , 2007Pérez-Caballero et al, 2009;Chakraborty et al, 2010Chakraborty et al, , 2012Dos Santos et al, 2010;Viscarra Rossel et al, 2010;Okparanma et al, 2014a, b).…”

Section: Chemometrics and Nir Spectroscopymentioning

confidence: 99%

“…Additionally, biological properties such as respiration rate by CO 2 evolution (Chang et al, 2001) and biological and chemical changes occurring during the co-composting of green waste and sewage sludges (Albrecht et al, 2009) have been characterised with NIR spectroscopy. Certain variables relating to humification of sewage sludge (Dos Santos et al, 2010) and stability of sewage sludge and derived compost (Soriano-Disla et al, 2010) have been predicted with NIR spectroscopy with acceptable prediction errors.…”

Section: Soil Sciencementioning

confidence: 99%

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

Okparanma¹,

Araka²,

Ayotamuno³

et al. 2018

J. Civ. Eng. Constr. Technol.

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Sustainable reuse of pre-treated drill cuttings (a hazardous waste) as part substitute for fine aggregate in concrete for construction purposes is becoming increasingly attractive; however, issues remain. With recent studies focusing on the use of near-infrared spectroscopic technique for non-invasive determination of chloride concentration in concrete structures, this review examines the applicability of this new technique in the rapid determination of other equally important physicochemical characteristics of concrete produced with this hazardous waste. The nature, source, composition, ecological effects of, and management options for drill cuttings are reviewed. Furthermore, the principles of near-infrared diffuse reflectance spectroscopy are highlighted and lessons from its practical applications in soil science and petrochemical, environmental, and civil engineering are discussed. A framework for a rapid near-infrared analysis of concrete produced with pre-treated drill cuttings for enhanced sustainability as a construction material is also proposed.

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“…Figure 4a shows the highlighted two-dimensional subspace of the components, PC1 and PC2, where the loadings of all HIXs were plotted, whose absolute value is more than 0.7 of the total (Santos et al 2010). PC1 had strong loadings on A 2 A 240-400 , SUVA, I 365 /I 330 , A 2 /A 1 , S 330-450 , and C/N, whereas PC2 showed strong loadings on S 350-400 , S 275-295 , and E 2 /E 3 .The methods of elemental composition and fluorescent spectroscopy were better in characterizing the humification levels of FA than the UV-visible spectroscopy.…”

Section: Principal Component Analysismentioning

confidence: 99%

Application of chemometrics to spectroscopic data for indicating humification degree and assessing salinization processes of soils

Song

et al. 2011

J Soils Sediments

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Purpose Chemometric methods were used to analyze chemical/spectroscopic data of fulvic acid (FA) isolated from soils in Hetao Irrigation District of China and to indicate humification degree of soil organic matter and assess soil salinization processes. Materials and methods Composite soil samples of different depths were collected from native halophyte soils and furrow-irrigated fields along a saline impact gradient, namely, Comm. Salicornia europaea (CSE), Comm. Suaeda glauca (CSG), Comm. Kalidium cuspidatum (CKC), Comm. Sophora alopecuroides (CSA), corn fields (CFDs), and wheat fields (WFDs). Results and discussion Humification indices (HIXs) deduced from elemental composition and fluorescence spectroscopy were better in assessing humification degree of FA than those from UV-visible spectroscopy. Soil samples were clustered into five groups, indicating that the humification degree of FA isolated from the CSE soil was the lowest, followed by CSG and CKC, CSA, CFD, and WFD.Exchangeable sodium percentage (ESP) closely exhibited linear correlations with the HIXs, and the humification degree decreased with a rise in ESP. Conclusions The results obtained by chemometrics justified that HIXs not only could identify humification degree of soil organic matter but also could assess soil salinization processes.

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Application of chemometric methods in the evaluation of chemical and spectroscopic data on organic matter from Oxisols in sewage sludge applications

Cited by 69 publications

References 40 publications

Characterization of Dissolved Organic Matter from Effluents in a Dry Anaerobic Digestion Process Using Spectroscopic Techniques and Multivariate Statistical Analysis

Characterization of Dissolved Organic Matter from Effluents in a Dry Anaerobic Digestion Process Using Spectroscopic Techniques and Multivariate Statistical Analysis

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

Application of chemometrics to spectroscopic data for indicating humification degree and assessing salinization processes of soils

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