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Article

Advanced Characterization of Organic Matter Decaying during Composting of Industrial Waste Using Spectral Methods

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Laboratory of Biotechnology, Environment, Agrifood and Health, Faculty of Sciences Dhar El Mahraz, BP: 1796, Atlas, Sidi Mohamed Ben Abdellah University, Fez 30 000, Morocco
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Faculty of Arts and Sciences, Arab American University Palestine, Jenin P.O. Box 240, Palestine
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Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia
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Laboratory of Inorganic Chemistry, Department of Chemistry, P.O. Box 55, FI-00014 Helsinki, Finland
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Research Institute on Terrestrial Ecosystems (IRET)—CNR, Via Pietro Castellino 111, 80131 Naples, Italy
*
Authors to whom correspondence should be addressed.
Academic Editor: Antoni Sánchez
Received: 19 June 2021 / Revised: 27 July 2021 / Accepted: 28 July 2021 / Published: 4 August 2021
(This article belongs to the Special Issue Composting in the Framework of Circular Economy)
To date, compost maturation monitoring is carried out by physical-chemical and microbiological analysis, which could be considered an overweening consumption of time and products. Nowadays, spectroscopy is chosen as a simple tool for monitoring compost maturity. In the present investigation, spectroscopy analysis was performed in the interest of corroborating the compost maturity. This goal was achieved by using the X-ray diffraction, infrared spectroscopy, and scanning electron microscopy. X-ray diffraction analysis showed the presence of the cellulose fraction in compost samples. At the same time, the intensity of pics decreased depending on composting time, thus proving that there was organic matter degradation. Infrared and scanning electron microscopy analysis allow for confirming these results. The correlation between spectroscopies analysis and physical-chemical properties was employed by partial least squares-regression (PLS-R) model. PLS-R model was applied to build a model to predict the compost quality depending on the composting time, the results obtained show that all the parameters analysis are well predicted. The current study proposed that final compost was more stabilized compared with the initial feedstock mixture. Ultimately, spectroscopy techniques used allowed us to confirm the physical-chemical results obtained, and both of them depict maturity and stability of the final compost, thus proving that spectral techniques are more reliable, fast, and promising than physical-chemical analyses. View Full-Text
Keywords: compost; textile waste; cellulose; spectroscopy analysis; scanning electron microscopy; PLS-R; maturity compost; textile waste; cellulose; spectroscopy analysis; scanning electron microscopy; PLS-R; maturity
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MDPI and ACS Style

Biyada, S.; Merzouki, M.; Imtara, H.; Alajmi, M.F.; Elkarrach, K.; Mechchate, H.; Conte, R.; Benlemlih, M. Advanced Characterization of Organic Matter Decaying during Composting of Industrial Waste Using Spectral Methods. Processes 2021, 9, 1364. https://0-doi-org.brum.beds.ac.uk/10.3390/pr9081364

AMA Style

Biyada S, Merzouki M, Imtara H, Alajmi MF, Elkarrach K, Mechchate H, Conte R, Benlemlih M. Advanced Characterization of Organic Matter Decaying during Composting of Industrial Waste Using Spectral Methods. Processes. 2021; 9(8):1364. https://0-doi-org.brum.beds.ac.uk/10.3390/pr9081364

Chicago/Turabian Style

Biyada, Saloua, Mohammed Merzouki, Hamada Imtara, Mohamed F. Alajmi, Karima Elkarrach, Hamza Mechchate, Raffaele Conte, and Mohamed Benlemlih. 2021. "Advanced Characterization of Organic Matter Decaying during Composting of Industrial Waste Using Spectral Methods" Processes 9, no. 8: 1364. https://0-doi-org.brum.beds.ac.uk/10.3390/pr9081364

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