Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data
Co-composting of sewage sludge with green waste is the main way of valorisation of organic wastes. The compost maturation process leads to production of humified and stabilized organic matter well-used for soil amendment due to its soil structuring qualities and nutrient richness. That is why the kn...
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Elsevier
2025-06-01
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| Series: | Waste Management Bulletin |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949750725000197 |
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| author | Roland Redon Madi Guirema Abaker Michel Raynaud Pascale Prudent Stéphane Mounier Christian Martino Didier Gori Carine Demelas Frédéric Théraulaz |
| author_facet | Roland Redon Madi Guirema Abaker Michel Raynaud Pascale Prudent Stéphane Mounier Christian Martino Didier Gori Carine Demelas Frédéric Théraulaz |
| author_sort | Roland Redon |
| collection | DOAJ |
| description | Co-composting of sewage sludge with green waste is the main way of valorisation of organic wastes. The compost maturation process leads to production of humified and stabilized organic matter well-used for soil amendment due to its soil structuring qualities and nutrient richness. That is why the knowledge of product quality in terms of organic matter stability and maturity of compost is imperative. Unfortunately, there is a lack of quick and easy solutions available for composting plant managers who usually need complex and time consuming laboratory measurements for determination of biological or chemical parameters, and more robust on-site methods. Compost evolution monitoring needs actual determination of several biological and physico-chemical parameters as the C/N ratio, the ISMO (Organic Matter Stability Index), related to organic matter stability, and the germination test related to compost maturity. The aim of this work is the estimation of these three parameters using a Partial Least Squares regression (PLS1) based on UV and fluorescence spectroscopic data and pH from compost water extracts at various steps of composting process, ending to a mathematical linear model. Results show average relative prediction errors of 14.76 %, 16.35 % and 15.38 % for C/N ratio, ISMO and germination test results, respectively. These satisfactory results confirm potentiality of this approach for a rapid and simple on-site estimation of the organic matter stabilization and compost maturation, for qualification of the end-product before its use. |
| format | Article |
| id | doaj-art-bc5a63a8268e4bd8a8c0e0a1ea9eec43 |
| institution | DOAJ |
| issn | 2949-7507 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Waste Management Bulletin |
| spelling | doaj-art-bc5a63a8268e4bd8a8c0e0a1ea9eec432025-08-20T03:12:19ZengElsevierWaste Management Bulletin2949-75072025-06-01321910.1016/j.wmb.2025.02.007Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic dataRoland Redon0Madi Guirema Abaker1Michel Raynaud2Pascale Prudent3Stéphane Mounier4Christian Martino5Didier Gori6Carine Demelas7Frédéric Théraulaz8Université de Toulon, Aix Marseille Univ., CNRS, IRD, MIO, Toulon, France; Aix Marseille Univ, Université de Toulon, CNRS, IRD, MIO, Marseille, FranceUniversité de Toulon, Aix Marseille Univ., CNRS, IRD, MIO, Toulon, France; Université des Sciences et Techniques de Masuku, Laboratoire de recherche multidisciplinaire en Environnement (LARME), 941 Mbaya Franceville, GabonUniversité de Toulon, Aix Marseille Univ., CNRS, IRD, MIO, Toulon, FranceAix Marseille Univ, CNRS, LCE UMR 7376, Marseille, FranceUniversité de Toulon, Aix Marseille Univ., CNRS, IRD, MIO, Toulon, France; Corresponding author at: Université de Toulon, Avenue de l’Université - Bât. R, 83130 La Garde, France.Université de Toulon, Aix Marseille Univ., CNRS, IRD, MIO, Toulon, FranceAix Marseille Univ, CNRS, LCE UMR 7376, Marseille, FranceAix Marseille Univ, CNRS, LCE UMR 7376, Marseille, FranceAix Marseille Univ, CNRS, LCE UMR 7376, Marseille, FranceCo-composting of sewage sludge with green waste is the main way of valorisation of organic wastes. The compost maturation process leads to production of humified and stabilized organic matter well-used for soil amendment due to its soil structuring qualities and nutrient richness. That is why the knowledge of product quality in terms of organic matter stability and maturity of compost is imperative. Unfortunately, there is a lack of quick and easy solutions available for composting plant managers who usually need complex and time consuming laboratory measurements for determination of biological or chemical parameters, and more robust on-site methods. Compost evolution monitoring needs actual determination of several biological and physico-chemical parameters as the C/N ratio, the ISMO (Organic Matter Stability Index), related to organic matter stability, and the germination test related to compost maturity. The aim of this work is the estimation of these three parameters using a Partial Least Squares regression (PLS1) based on UV and fluorescence spectroscopic data and pH from compost water extracts at various steps of composting process, ending to a mathematical linear model. Results show average relative prediction errors of 14.76 %, 16.35 % and 15.38 % for C/N ratio, ISMO and germination test results, respectively. These satisfactory results confirm potentiality of this approach for a rapid and simple on-site estimation of the organic matter stabilization and compost maturation, for qualification of the end-product before its use.http://www.sciencedirect.com/science/article/pii/S2949750725000197Partial Least Square regressionC/N ratioSpectroscopic indicesSewage SludgeOrganic Matter Stability IndexGermination test |
| spellingShingle | Roland Redon Madi Guirema Abaker Michel Raynaud Pascale Prudent Stéphane Mounier Christian Martino Didier Gori Carine Demelas Frédéric Théraulaz Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data Waste Management Bulletin Partial Least Square regression C/N ratio Spectroscopic indices Sewage Sludge Organic Matter Stability Index Germination test |
| title | Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data |
| title_full | Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data |
| title_fullStr | Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data |
| title_full_unstemmed | Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data |
| title_short | Rapid on-site maturity and stability assessment of sewage sludge compost by mathematical treatment of UV and fluorescence spectroscopic data |
| title_sort | rapid on site maturity and stability assessment of sewage sludge compost by mathematical treatment of uv and fluorescence spectroscopic data |
| topic | Partial Least Square regression C/N ratio Spectroscopic indices Sewage Sludge Organic Matter Stability Index Germination test |
| url | http://www.sciencedirect.com/science/article/pii/S2949750725000197 |
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