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Qiu Y, Xia L, Ren LF, Wang C, Wan Y, Zhao Y, Dewil R, Van der Bruggen B, Shao J, Tang CY. Fast-selective electro-driven membrane reactor in fluoride/silica crystallization for microelectronic wastewaters recycling. WATER RESEARCH 2025; 282:123725. [PMID: 40311291 DOI: 10.1016/j.watres.2025.123725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 04/16/2025] [Accepted: 04/25/2025] [Indexed: 05/03/2025]
Abstract
Rapid growth of the microelectronic industry leads to a significant increase in the generation of microelectronic wastewaters containing complex pollutants. Resource recovery technologies offer promising solutions for effective wastewater reuse in the microelectronics sector. However, how to simultaneously achieve high-efficiency crystallization and high crystal purity of ionic resources from complex wastewater remains a challenge. Here, for the first time, we propose an electro-driven membrane reactor (EMR) for the ex-situ crystallization of fluoride/silica from microelectronic wastewaters as high-purity fluorosilicates. This EMR with independent chambers combines a bipolar membrane to produce protons for SiF62- generation from the reaction between fluoride and silica. An internal ultrafiltration membrane is used to reject nanoparticles/organics while providing ion channels for protons and SiF62- migration. Selective recovery of Na2SiF6 from the coexisting ions (Cl-, SO42-, NO3- and PO43-)/nanoparticles (SiO2, Al2O3 and CeO2)/organics (tetramethylammonium hydroxide, isopropyl alcohol, bovine serum albumin, sodium alginate and humic acid) is demonstrated. Over 99.5 % Na2SiF6 purity and 64.5 % crystallization rate are verified under the optimal conditions (voltage of 8 V, UH050 membrane, operation mode Ⅰ, and forward permeate flux of 1 mL min-1). This EMR with the advantages of accurate capture capability may be an innovative strategy for enlarging the scale of pollutant elimination, ionic resources and fresh water recovery from micro-electronic wastewaters.
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Affiliation(s)
- Yangbo Qiu
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China; Department of Civil Engineering, The University of Hong Kong, Pokfulam, 999077, Hong Kong Special Administrative Region of China
| | - Lei Xia
- Division of Soil and Water Management, KU Leuven, Kasteelpark Arenberg 20, Leuven 3001, Belgium
| | - Long-Fei Ren
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China; National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Shanghai Jiao Tong University Yunnan Dali Research Institute, Dali, Yunnan 671006, PR China.
| | - Chao Wang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Yiping Wan
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China
| | - Yan Zhao
- Department of Civil Engineering, The University of Hong Kong, Pokfulam, 999077, Hong Kong Special Administrative Region of China; Department of Chemical Engineering, KU Leuven, Celestijnenlaan 200F, Leuven B-3001, Belgium.
| | - Raf Dewil
- Department of Chemical Engineering, Process and Environmental Technology Lab, KU Leuven, J. De Nayerlaan 5, Sint-Katelijne-Waver 2860, Belgium; Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom
| | - Bart Van der Bruggen
- Department of Chemical Engineering, KU Leuven, Celestijnenlaan 200F, Leuven B-3001, Belgium
| | - Jiahui Shao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China; National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Shanghai Jiao Tong University Yunnan Dali Research Institute, Dali, Yunnan 671006, PR China.
| | - Chuyang Y Tang
- Department of Civil Engineering, The University of Hong Kong, Pokfulam, 999077, Hong Kong Special Administrative Region of China
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Yin K, Zhao X, Liu Y, Zhu J, Fei X. Aging Increases Global Annual Food Greenhouse Gas Emissions up to 300 Million Tonnes by 2100. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5784-5795. [PMID: 38507561 DOI: 10.1021/acs.est.3c06268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
The dietary preferences of the elderly population exhibit distinct variations from the overall averages in most countries, gaining increasing significance due to aging demographics worldwide. These dietary preferences play a crucial role in shaping global food systems, which will result in changed environmental impacts in the future such as greenhouse gas (GHG) emissions. We present a quantitative evaluation of the influence of population aging on the changes in GHG emissions from global food systems. To achieve this, we developed regional dietary coefficients (DCs) of the elderly based on the Global Dietary Database (GDD). We then reconciled the GDD with the dataset from the Food and Agriculture Organization of the United Nations (FAO) to calculate the food GHG emissions of the average population in each of the countries. By applying the DCs, we estimated the national food GHG emissions and obtained the variations between the emissions from aged and average populations. We employed a modified version of the regional integrated model of climate and the economy model (RICE) to forecast the emission trends in different countries based on FAO and GDD data. This integrated approach allowed us to evaluate the dynamic relationships among aging demographics, food consumption patterns, and economic developments within regions. Our results indicate that the annual aging-embodied global food GHG emissions will reach 288 million tonnes of CO2 equivalent (Mt CO2e) by 2100. This estimation is crucial for policymakers, entrepreneurs, and researchers as it provides insights into a potential future environmental challenge and emphasizes the importance of sustainable food production and consumption strategies to GHG emission mitigations associated with aging dietary patterns.
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Affiliation(s)
- Ke Yin
- Department of Environmental Engineering, College of Ecology and Environment, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, China
| | - Xingyu Zhao
- Department of Environmental Engineering, College of Ecology and Environment, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, China
| | - Yuru Liu
- Department of Environmental Engineering, College of Ecology and Environment, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, China
| | - Jingyu Zhu
- Department of Environmental Engineering, College of Ecology and Environment, Nanjing Forestry University, 159 Longpan Road, Nanjing 210037, China
| | - Xunchang Fei
- School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Nanyang Environment and Water Research Institute, Singapore 637141, Singapore
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Zhang L, Mao Y, Chen Z, Hu X, Wang C, Lu C, Wang L. A systematic review of life-cycle GHG emissions from intensive pig farming: Accounting and mitigation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:168112. [PMID: 37884131 DOI: 10.1016/j.scitotenv.2023.168112] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
Pork accounts for approximately 35 % of the global meat supply, with approximately 747 million tons of CO2e greenhouse gas (GHG) emissions annually. To meet the increasing demand for pork, intensive farming is becoming the priority rearing system owing to its higher productivity. Given the climate transformation ambitions of the pig industry but the lack of knowledge and data, we conducted a systematic review of studies published in the period of 2010-2022 from a life-cycle perspective, with a focus on greenhouse gas emissions accounting and mitigation. The significant variations in systematic harmonized global warming intensities (GWIs) can be primarily attributed to differences in accounting approaches, activity data, technologies and geographical conditions. To understand more, we broke down the entire life cycle and revealed the underlying reasons for modelling mechanisms and data from the main emitters (e.g., feeding, pig rearing, and manure management). These findings are expected to support and improve the transparency, consistency, and comprehensiveness of life-cycle GHG emissions accounting in pig farming. Potential mitigation measures were also reviewed and discussed to provide insights to support the sustainable development of the pig industry.
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Affiliation(s)
- Lei Zhang
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Yingrong Mao
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Zhonghao Chen
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Xiaoshan Hu
- Muyuan Foodstuff Co., Ltd, Longsheng Industrial Park Wolong District, Nanyang, 473000, Henan Province, China
| | - Chuan Wang
- Muyuan Foodstuff Co., Ltd, Longsheng Industrial Park Wolong District, Nanyang, 473000, Henan Province, China
| | - Chang Lu
- Muyuan Foodstuff Co., Ltd, Longsheng Industrial Park Wolong District, Nanyang, 473000, Henan Province, China
| | - Lei Wang
- Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China; Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang 310030, China; Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China.
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Hassoun A, Garcia-Garcia G, Trollman H, Jagtap S, Parra-López C, Cropotova J, Bhat Z, Centobelli P, Aït-Kaddour A. Birth of dairy 4.0: Opportunities and challenges in adoption of fourth industrial revolution technologies in the production of milk and its derivatives. Curr Res Food Sci 2023; 7:100535. [PMID: 37448632 PMCID: PMC10336415 DOI: 10.1016/j.crfs.2023.100535] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/11/2023] [Accepted: 06/13/2023] [Indexed: 07/15/2023] Open
Abstract
Embracing innovation and emerging technologies is becoming increasingly important to address the current global challenges facing many food industry sectors, including the dairy industry. Growing literature shows that the adoption of technologies of the fourth industrial revolution (named Industry 4.0) has promising potential to bring about breakthroughs and new insights and unlock advancement opportunities in many areas of the food manufacturing sector. This article discusses the current knowledge and recent trends and progress on the application of Industry 4.0 innovations in the dairy industry. First, the "Dairy 4.0" concept, inspired by Industry 4.0, is introduced and its enabling technologies are determined. Second, relevant examples of the use of Dairy 4.0 technologies in milk and its derived products are presented. Finally, conclusions and future perspectives are given. The results revealed that robotics, 3D printing, Artificial Intelligence, the Internet of Things, Big Data, and blockchain are the main enabling technologies of Dairy 4.0. These advanced technologies are being progressively adopted in the dairy sector, from farm to table, making significant and profound changes in the production of milk, cheese, and other dairy products. It is expected that, in the near future, new digital innovations will emerge, and greater implementations of Dairy 4.0 technologies is likely to be achieved, leading to more automation and optimization of this dynamic food sector.
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Affiliation(s)
- Abdo Hassoun
- Univ. Littoral Côte D’Opale, UMRt 1158 BioEcoAgro, USC ANSES, INRAe, Univ. Artois, Univ. Lille, Univ. Picardie Jules Verne, Univ. Liège, Junia, F-62200, Boulogne-sur-Mer, France
- Sustainable AgriFoodtech Innovation & Research (SAFIR), F-62000, Arras, France
| | - Guillermo Garcia-Garcia
- Department of Agrifood System Economics, Centre ‘Camino de Purchil’, Institute of Agricultural and Fisheries Research and Training (IFAPA), P.O. Box 2027, 18080, Granada, Spain
| | - Hana Trollman
- School of Business, University of Leicester, Leicester, LE2 1RQ, UK
| | - Sandeep Jagtap
- Sustainable Manufacturing Systems Centre, School of Aerospace, Transport & Manufacturing, Cranfield University, Cranfield, MK43 0AL, UK
| | - Carlos Parra-López
- Department of Agrifood System Economics, Centre ‘Camino de Purchil’, Institute of Agricultural and Fisheries Research and Training (IFAPA), P.O. Box 2027, 18080, Granada, Spain
| | - Janna Cropotova
- Department of Biological Sciences, Ålesund, Norwegian University of Science and Technology, Larsgårdsvegen 4, 6025, Ålesund, Norway
| | | | - Piera Centobelli
- Department of Industrial Engineering, University of Naples Federico II, P.le Tecchio 80, 80125, Naples, Italy
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