biostudies-literatureDogar SHuman Frontier Science ProgramHigher Education Commission, PakistanLahore University of Management SciencesMax-Planck-Gesellschaft15850-15864https://www.ebi.ac.uk/biostudies/studies/S-EPMC7345398biostudies-literatureUnknown5(26)Development of innovative methodologies to convert biomass ash into useful materials is essential to sustain the growing use of biomass for energy production. Herein, a simple chemical modification approach is employed to functionalize biomass fly ash (BFA) with 3-aminopropyltriethoxy silane (APTES) to develop an inexpensive and efficient adsorbent for water remediation. The amine-functionalized BFA (BFA-APTES) was fully characterized by employing a range of characterization techniques. Adsorption behavior of BFA-APTES was evaluated against two anionic dyes, namely, alizarin red S (ARS) and bromothymol blue (BTB). In the course of experimental data analysis, the computation tools of data fitting for linear and nonlinear form of Langmuir, Freundlich, and the modified Langmuir-Freundlich adsACS omegaUtilization of Biomass Fly Ash for Improving Quality of Organic Dye-Contaminated Water.PMC734539820-1799/R&D/10-5302RGY0074/2016592220-1740/R&D/10/3368TDF-033Said AFarooq MQKamran RDuran HNayab SDogar SYameen BfalseUtilization of Biomass Fly Ash for Improving Quality of Organic Dye-Contaminated Water.Development of innovative methodologies to convert biomass ash into useful materials is essential to sustain the growing use of biomass for energy production. Herein, a simple chemical modification approach is employed to functionalize biomass fly ash (BFA) with 3-aminopropyltriethoxy silane (APTES) to develop an inexpensive and efficient adsorbent for water remediation. The amine-functionalized BFA (BFA-APTES) was fully characterized by employing a range of characterization techniques. Adsorption behavior of BFA-APTES was evaluated against two anionic dyes, namely, alizarin red S (ARS) and bromothymol blue (BTB). In the course of experimental data analysis, the computation tools of data fitting for linear and nonlinear form of Langmuir, Freundlich, and the modified Langmuir-Freundlich ads2020-01-01T00:00:00Z2020 Jul2026-07-09T10:48:27.922Z2025-04-06T02:48:19.125ZS-EPMC73453983265640610.1021/acsomega.0c00889