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Zuo X, Zhou Y, Hao K, Liu C, Yu R, Huang A, Wu C, Yang Y. 3D Printed All-Natural Hydrogels: Flame-Retardant Materials Toward Attaining Green Sustainability. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306360. [PMID: 38098258 PMCID: PMC10797461 DOI: 10.1002/advs.202306360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/27/2023] [Indexed: 01/22/2024]
Abstract
Biomass-based hydrogel is a promising flame-retardant material and has a high potential for applications in transportation, aerospace, building and electrical engineering, and electronics. However, rapid vat photopolymerization (VP) 3D printing of biomass-based hydrogels, especially that of all-natural ones, is still rare. Herein, a new class of VP 3D-printed hydrogels with strong covalent networks, fabricating using fully biomass materials and a commercial liquid crystal display (LCD) printer assembled with low-intensity visible light is presented. Encouragingly, the highly ordered layer-by-layer packing structures provided by VP 3D printing technology endow these hydrogels with remarkable flame retardancy, exceptional temperature resistance, advantageous combustion behaviors, and favorable mechanical strength, in particular, giving them a better limit oxygen index (83.5%) than various biomass-based hydrogels. The proposed approach enables the green design as well as the precise and efficient preparation for flame-retardant materials, paving the way for the future flame-retardant materials toward attaining green sustainability.
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Affiliation(s)
- Xiaoling Zuo
- College of Materials Science and EngineeringGuizhou Minzu UniversityGuiyang550025China
| | - Ying Zhou
- College of Materials Science and EngineeringGuizhou Minzu UniversityGuiyang550025China
| | - Kangan Hao
- College of Physics and Mechatronic EngineeringGuizhou Minzu UniversityGuiyang550025China
| | - Chuan Liu
- College of Physics and Mechatronic EngineeringGuizhou Minzu UniversityGuiyang550025China
| | - Runhao Yu
- College of Materials Science and EngineeringGuizhou Minzu UniversityGuiyang550025China
| | - Anrong Huang
- National Engineering Research Center for Compounding and Modification of Polymeric MaterialsGuiyang550014China
| | - Chong Wu
- College of PharmacyGuizhou University of Traditional Chinese MedicineGuiyang550025China
| | - Yinye Yang
- College of Materials Science and EngineeringGuizhou Minzu UniversityGuiyang550025China
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Zhang H, Han X, Wang G, Mao H, Chen X, Zhou L, Huang D, Zhang F, Yan X. Spatial distribution and driving factors of groundwater chemistry and pollution in an oil production region in the Northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 875:162635. [PMID: 36889386 DOI: 10.1016/j.scitotenv.2023.162635] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
Concerns have been raised on the deterioration of groundwater quality associated with anthropogenic impacts such as oil extraction and overuse of fertilizers. However, it is still difficult to identify groundwater chemistry/pollution and driving forces in regional scale since both natural and anthropogenic factors are spatially complex. This study, combining self-organizing map (SOM, combined with K-means algorithm) and principal component analysis (PCA), attempted to characterize the spatial variability and driving factors of shallow groundwater hydrochemistry in Yan'an area of Northwest China where diverse land use types (e.g., various oil production sites and agriculture lands) coexist. Based on the major and trace elements (e.g., Ba, Sr, Br, Li) and total petroleum hydrocarbons (TPH), groundwater samples were classified into four clusters with obvious geographical and hydrochemical characteristics by using SOM - K-means clustering: heavily oil-contaminated groundwater (Cluster 1), slightly oil-contaminated groundwater (Cluster 2), least-polluted groundwater (Cluster 3) and NO3- contaminated groundwater (Cluster 4). Noteworthily, Cluster 1, located in a river valley with long-term oil exploitation, had the highest levels of TPH and potentially toxic elements (Ba, Sr). Multivariate analysis combined with ion ratios analysis were used to determine the causes of these clusters. The results revealed that the hydrochemical compositions in Cluster 1 were mainly caused by the oil-related produced water intrusion into the upper aquifer. The elevated NO3- concentrations in Cluster 4 were induced by agricultural activities. Water-rock interactions (e.g., carbonate as well as silicate dissolution and precipitation) also shaped the chemical constituents of groundwater in clusters 2, 3, and 4. In addition, SO42--related processes (redox, precipitation of sulfate minerals) also affected groundwater chemical compositions in Cluster 1. This work provides the insight into the driving factors of groundwater chemistry and pollution which could contribute to groundwater sustainable management and protection in this area and other oil extraction areas.
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Affiliation(s)
- Hongyu Zhang
- State Key Laboratory of Biogeology and Environmental Geology & MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, PR China; School of Water Resources and Environment, China University of Geosciences, Beijing 100083, PR China
| | - Xu Han
- Geology Institute of China Chemical Geology and Mine Bureau, Beijing 100028, China
| | - Guangcai Wang
- State Key Laboratory of Biogeology and Environmental Geology & MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, PR China; School of Water Resources and Environment, China University of Geosciences, Beijing 100083, PR China.
| | - Hairu Mao
- State Key Laboratory of Biogeology and Environmental Geology & MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, PR China; School of Water Resources and Environment, China University of Geosciences, Beijing 100083, PR China
| | - Xianglong Chen
- State Key Laboratory of Biogeology and Environmental Geology & MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, PR China; School of Water Resources and Environment, China University of Geosciences, Beijing 100083, PR China
| | - Ling Zhou
- Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Dandan Huang
- School of Water Resources & Environment Engineering, East China University of Technology, Nanchang, Jiangxi 330013, PR China
| | - Fan Zhang
- State Key Laboratory of Biogeology and Environmental Geology & MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, PR China; School of Water Resources and Environment, China University of Geosciences, Beijing 100083, PR China
| | - Xin Yan
- State Key Laboratory of Biogeology and Environmental Geology & MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, PR China; School of Water Resources and Environment, China University of Geosciences, Beijing 100083, PR China
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