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Rautela R, Sharma A, Prakash Ranjan V, Rathika K, Pratap V, Ram Yadav B, Kumar S. Turning Solid Waste into Catalysts: A Path for Environmental Solutions. Chempluschem 2024; 89:e202400246. [PMID: 39215748 DOI: 10.1002/cplu.202400246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 08/28/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024]
Abstract
Waste, often overlooked, stands out as a prime source of valuable products, meeting the demand for natural resources. In the face of environmental challenges, this study explores the crucial role of waste-derived catalysts in sustainable practices, emphasizing the transformative potential of solid waste materials. Carbon-based catalysts sourced from agricultural, municipal, and industrial waste streams can be transformed into activated carbon, biochar, and hydrochar which are extensively used adsorbents. Furthermore, the paper also highlights the potential of transition metal-based catalysts derived from spent batteries, electronic waste, and industrial byproducts, showcasing their efficacy in environmental remediation processes. Calcium-based catalysts originating from food waste, including seashells, eggshells, bones, as well as industrial and construction waste also find an extensive application in biodiesel production, providing a comprehensive overview of their promising role in sustainable and eco-friendly practices. From mitigating pollutants to recovering valuable resources, waste-derived catalysts exhibit a versatile role in addressing waste management challenges and promoting resource sustainability. By transforming waste into valuable catalysts, this study champions a paradigm shift towards a more sustainable and resource-efficient future.
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Affiliation(s)
- Rahul Rautela
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, Uttar Pradesh, India
| | - Apurva Sharma
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
| | - Ved Prakash Ranjan
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
| | - K Rathika
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, Uttar Pradesh, India
| | - Vinay Pratap
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, Uttar Pradesh, India
| | - Bholu Ram Yadav
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, Uttar Pradesh, India
| | - Sunil Kumar
- CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, Maharashtra, 440 020, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, Uttar Pradesh, India
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Wang J, Li C, Awasthi MK, Nyambura SM, Zhu Z, Li H, Xu J, Feng X, Zhu X, Syed A, Wong LS, Luo W. Utilising standard samples instead of randomly collected food waste in composting: Implementation strategy and feasibility evaluation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 353:120182. [PMID: 38278112 DOI: 10.1016/j.jenvman.2024.120182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 12/23/2023] [Accepted: 01/20/2024] [Indexed: 01/28/2024]
Abstract
Randomly collected food waste results in inaccurate experimental data with poor reproducibility for composting. This study investigated standard food waste samples as replacements for randomly collected food waste. A response surface methodology was utilised to analyse data from a 28-day compost process optimisation experiment using collected food waste, and the optimal combination of composting parameters was derived. Experiments using different standard food waste samples (high oil and salt, high oil and sugar, balanced diet, and vegetarian) were conducted for 28 days under optimal conditions. The ranking of differences between the standard samples and collected food waste was vegetarian > balanced diet > high oil and sugar > high oil and salt. Statistical analysis indicated t-tests for increased oil and salt samples and collected food waste were not significant, and Cohen's d effect values were minimal. High oil and salt samples can be used as replacements for collected food waste in composting experiments.
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Affiliation(s)
- Jufei Wang
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Chao Li
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Mukesh Kumar Awasthi
- College of Natural Resources and Environment, Northwest A&F University, Taicheng Road 3#, Yangling, Shaanxi 712100, China
| | - Samuel Mbugua Nyambura
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Zhenming Zhu
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Hua Li
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China.
| | - Jialiang Xu
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Xuebin Feng
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Xueru Zhu
- College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu, China; Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Province/Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Asad Syed
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh, 11451, Saudi Arabia
| | - Ling Shing Wong
- Faculty of Health and Life Sciences, INTI International University, Putra Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - Wei Luo
- CITIC Envirotech Guangzhou Co Ltd, Guangzhou 510000, China
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