Differentiation of the composting stages of green waste using the CIELAB color model

被引:7
作者
Tsivas, Dimosthenis [1 ]
Vlyssides, Apostolos [1 ]
Vlysidis, Anestis [1 ,2 ,3 ]
机构
[1] Natl Tech Univ Athens, Sch Chem Engn, Zografos, Greece
[2] Tech Univ Crete, Sch Chem & Environm Engn, Khania, Greece
[3] Natl Tech Univ Athens, Sch Chem Engn, 9 Heroon Polytech St, Zografos 15780, Greece
关键词
CIELAB color model; composting stages; green waste composting; maturity; PARAMETERS; QUALITY; REFUSE;
D O I
10.1002/jctb.7370
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
BACKGROUND: CIELAB color variables can be used to monitor a composting process and evaluate the maturity of the compost with a new, rapid, easy, and low-cost colorimetric analysis. However, to date there are no available data to support the ability of CIELAB color changes to depict the different stages of a composting procedure. This study aims to examine the correlation of CIELAB color variables with composting time to elucidate how color changes can be used to detect the different stages of a composting process. Two green waste industrial scale composting processes with different added materials were monitored using typical physicochemical and CIELAB color analyses. RESULTS: During composting, color variables a*, b*, C*, and Delta Epsilon* exhibited fluctuations following a constant variation trend that correlated with each composting phase. This behavior depicts the transformation of the organic composition of compost, as described by Organic Carbon (OC), Carbon-to-Nitrogen ratio (C/N), Humic Acids (HA), and Fulvic Acids (FA). Moreover, color variables a*, b*, and C* showed strong relationships with OC, C/N, and HA/FA (R-2 > 0.83) and with HA (R-2 > 0.74). These results indicate that CIELAB color change follows the same general pattern for each composting procedure that utilizes the same main composting substrate, regardless of any differing additional materials. CONCLUSION: Monitoring the CIELAB color variables made it possible to depict the different phases of composting, especially the transformation of the organic composition of the compost. Accurately monitoring CIELAB color variables distinguishes the different stages of a composting process through a rapid analysis at radically reduced costs compared to complex physicochemical analyses.(C) 2023 Society of Chemical Industry (SCI).
引用
收藏
页码:2198 / 2208
页数:11
相关论文
共 50 条
[41]   Heavy metal fractionation during the co-composting of biosolids, deinking paper fibre and green waste [J].
Tandy, S. ;
Healey, J. R. ;
Nason, M. A. ;
Williamson, J. C. ;
Jones, D. L. .
BIORESOURCE TECHNOLOGY, 2009, 100 (18) :4220-4226
[42]   Optimization of lignocellulolytic bacterial inoculum and substrate mix for lignocellulose degradation and product quality on co-composting of green waste with food waste [J].
Soto-Paz, Jonathan ;
Ricardo Oviedo-Ocana, Edgar ;
Angelica Angarita-Rangel, Maria ;
Rodriguez-Florez, Lesly, V ;
Johana Castellanos-Suarez, Laura ;
Nabarlatz, Debora ;
Sanchez-Torres, Viviana .
BIORESOURCE TECHNOLOGY, 2022, 359
[43]   Changes in physical, chemical, and microbiological properties during the two-stage co-composting of green waste with spent mushroom compost and biochar [J].
Zhang, Lu ;
Sun, Xiangyang .
BIORESOURCE TECHNOLOGY, 2014, 171 :274-284
[44]   Optimization of composting methods for efficient use of cassava waste, using microbial degradation [J].
Xiangning He ;
Riyao Cong ;
Wei Gao ;
Xueying Duan ;
Yi Gao ;
Hong Li ;
Zepu Li ;
Hailin Diao ;
Jianju Luo .
Environmental Science and Pollution Research, 2023, 30 :51288-51302
[45]   Effect of reactor temperature and feeding ratio on fed-batch composting of household food waste and green wastes [J].
Wang, Fei ;
Chen, Chen ;
Fu, Dafang ;
Singh, Rajendra Prasad .
BIOMASS & BIOENERGY, 2024, 181
[46]   Promoting lignocellulose degradation during green waste composting by maintaining a specific temperature through heap size control [J].
Yu, Keifei ;
Sun, Xiangyang ;
Li, Suyan ;
Ding, Hao ;
Hao, Dan ;
Meng, Tongyang ;
Fu, Bingyan ;
Zou, Rongsong ;
Kang, Yue .
ENVIRONMENTAL TECHNOLOGY, 2022, 43 (19) :2968-2980
[47]   Characterization of organic matter microstructure dynamics during co-composting of sewage sludge, barks and green waste [J].
Watteau, Francoise ;
Villemin, Genevieve .
BIORESOURCE TECHNOLOGY, 2011, 102 (19) :9313-9317
[48]   An Approach for the Pan Sharpening of Very High Resolution Satellite Images Using a CIELab Color Based Component Substitution Algorithm [J].
Rahimzadeganasl, Alireza ;
Alganci, Ugur ;
Goksel, Cigdem .
APPLIED SCIENCES-BASEL, 2019, 9 (23)
[49]   Bacterial and fungal community dynamics during different stages of agro-industrial waste composting and its relationship with compost suppressiveness [J].
Hernandez-Lara, Alicia ;
Ros, Margarita ;
Cuartero, Jessica ;
Angeles Bustamante, Maria ;
Moral, Raul ;
Javier Andreu-Rodriguez, Francisco ;
Fernandez, Juan A. ;
Egea-Gilabert, Catalina ;
Antonio Pascual, Jose .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 805
[50]   Effect of Biochar Addition in Two Different Phases of the Co-Composting of Green Waste and Food Waste: An Analysis of the Process, Product Quality and Microbial Community [J].
Oviedo-Ocana, Edgar Ricardo ;
Soto-Paz, Jonathan ;
Parra-Orobio, Brayan Alexis ;
Zafra, German ;
Maeda, Toshinari ;
Galezo-Suarez, Andrea Carolina ;
Diaz-Larotta, Judy Tatiana ;
Sanchez-Torres, Viviana .
WASTE AND BIOMASS VALORIZATION, 2025,