Applicability of Ni@ZnO polymer nanocomposite as an adsorbent for removal of methylene blue dye from synthetic wastewater: Batch studies and multilinear regression (MLR) modeling.

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Title: Applicability of Ni@ZnO polymer nanocomposite as an adsorbent for removal of methylene blue dye from synthetic wastewater: Batch studies and multilinear regression (MLR) modeling.
Authors: Jabeen N; Department of Chemistry, Lahore Garrison University, Lahore, 54470, Pakistan., Shahzady TG; Department of Chemistry, Lahore Garrison University, Lahore, 54470, Pakistan., Mohyuddin A; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan. ayesha.mohyuddin@umt.edu.pk., Amjad M; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan., Batool F; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan., Ulfat W; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan., Hussain S; Institute of Chemistry, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Punjab, 64200, Pakistan., Goh HH; School of Electrical Engineering, Guangxi University, Nanning, 530004, Guangxi, China., Kurniawan TA; College of the Environment and Ecology, Xiamen University, Xiamen, 361102, Fujian, China. tonni@xmu.edu.cn.
Source: Environmental monitoring and assessment [Environ Monit Assess] 2025 Jan 31; Vol. 197 (2), pp. 214. Date of Electronic Publication: 2025 Jan 31.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Applicability of Ni@ZnO polymer nanocomposite as an adsorbent for removal of methylene blue dye from synthetic wastewater: Batch studies and multilinear regression (MLR) modeling.
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  Data: <searchLink fieldCode="AU" term="%22Jabeen+N%22">Jabeen N</searchLink>; Department of Chemistry, Lahore Garrison University, Lahore, 54470, Pakistan.<br /><searchLink fieldCode="AU" term="%22Shahzady+TG%22">Shahzady TG</searchLink>; Department of Chemistry, Lahore Garrison University, Lahore, 54470, Pakistan.<br /><searchLink fieldCode="AU" term="%22Mohyuddin+A%22">Mohyuddin A</searchLink>; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan. ayesha.mohyuddin@umt.edu.pk.<br /><searchLink fieldCode="AU" term="%22Amjad+M%22">Amjad M</searchLink>; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan.<br /><searchLink fieldCode="AU" term="%22Batool+F%22">Batool F</searchLink>; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan.<br /><searchLink fieldCode="AU" term="%22Ulfat+W%22">Ulfat W</searchLink>; Department of Chemistry, School of Science, University of Management and Technology, Lahore, 54770, Pakistan.<br /><searchLink fieldCode="AU" term="%22Hussain+S%22">Hussain S</searchLink>; Institute of Chemistry, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Punjab, 64200, Pakistan.<br /><searchLink fieldCode="AU" term="%22Goh+HH%22">Goh HH</searchLink>; School of Electrical Engineering, Guangxi University, Nanning, 530004, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Kurniawan+TA%22">Kurniawan TA</searchLink>; College of the Environment and Ecology, Xiamen University, Xiamen, 361102, Fujian, China. tonni@xmu.edu.cn.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8508350 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2959 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201676369%22">01676369 </searchLink><i>NLM ISO Abbreviation: </i>Environ Monit Assess <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10661-025-13614-5
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      – TitleFull: Applicability of Ni@ZnO polymer nanocomposite as an adsorbent for removal of methylene blue dye from synthetic wastewater: Batch studies and multilinear regression (MLR) modeling.
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              Text: 2025 Jan 31
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