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• W4313530572 endingPage "137685" @default.
• W4313530572 startingPage "137685" @default.
• W4313530572 abstract "Adsorption has proven to be most effective for arsenic removal. But standalone adsorption cannot cater to the need for large-scale treatment in centralized water supply systems. Combining adsorption with other low-pressure membrane processes may aid in scaling up and intensifying the overall arsenic removal. In the present pilot study, a low-cost laterite-derived adsorbent (LDA) has been used in combination with cross-flow ultrafiltration (Ads-UF) to develop a strategy suitable for remediation of arsenic-contaminated water. Effect of adsorbent particles on permeate flux has been assessed at different transmembrane pressure (0.2-0.6 MPa). Two different hybrid configurations, with and without intermediate sand filtration (SF), i.e. Ads-SF-UF and Ads-UF, were considered. Resistance-in-series and combined complete pore block-cake layer models have been used to understand the flux profiles. In the case of arsenic-spiked groundwater, it was observed that flux decline, at 0.6 MPa, was 28% higher with Ads-UF during a 12 h run compared to Ads-SF-UF. Spent LDA retrieved from the sand column was found to retain the elemental composition as that of the unused LDA (as per FT-IR and EDX) and was considered safe for disposal based on Toxicity Characteristic Leaching Procedure (TCLP). Cost estimation for a facility with 200 m3/day treatment capacity has also been presented." @default.
• W4313530572 created "2023-01-06" @default.
• W4313530572 creator A5029715369 @default.
• W4313530572 creator A5056461777 @default.
• W4313530572 date "2023-03-01" @default.
• W4313530572 modified "2023-10-01" @default.
• W4313530572 title "A hybrid ultrafiltration membrane process using a low-cost laterite based adsorbent for efficient arsenic removal" @default.
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• W4313530572 doi "https://doi.org/10.1016/j.chemosphere.2022.137685" @default.
• W4313530572 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36603682" @default.
• W4313530572 hasPublicationYear "2023" @default.
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