Rahayu, Mia Puji (2023) Adsorpsi Zat Warna Malachite Green Dengan Adsorben Bentonit Teraktivasi H2so4 Menggunakan Response Surface Methodology. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Malachite green (MG) memiliki banyak efek destruktif, seperti karsinogenisitas dan mutagenisitas, pada berbagai organisme terutama manusia dan mamalia, bahkan pada konsentrasi yang sangat rendah. Bentonit (BNT), sebagai salah satu jenis lempung alam, memiliki sifat hidrofilik, stabilitas kimia yang tinggi, kemampuan kapasitas tukar kation, luas permukaan spesifik yang tinggi, dan toksisitas rendah. Bentonit teraktivasi H2SO4 (A-BNT) digunakan untuk menghilangkan zat warna MG dalam larutan. Sifat fisikokimia adsorben dikarakterisasi menggunakan XRD, XRF, FTIR, dan SAA. Adsorpsi MG dioptimasi menggunakan Response Surface Methodology (RSM) dengan desain Box-Behnken (BBD). BBD didesain menggunakan library python PyDoE2 (https://github.com/clicumu/pyDOE2). Desain Box-Behnken 3 level diterapkan untuk mempelajari penghilangan MG yang optimal dan interaksi variabel input. Variabel input yang dioptimalkan adalah massa adsorben (10, 30, dan 50 mg), konsentrasi awal MG dalam larutan (5, 100, dan 200 mg.L-1), dan waktu kontak (10, 30, dan 60 menit). Interaksi antara variabel input dan persentase penghilangan MG diamati dengan memplotnya dalam kurva RSM. Hasil analisis menunjukkan kondisi optimum adsorpsi pada rentang dosis adsorben 40-50 mg, waktu kontak 40-55 menit, dan konsentrasi awal MG 94-187 mgL-1 dengan persentase penghilangan optimal sebesar 99,72%.
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Malachite green (MG) has many destructive effects, such as carcinogenicity and mutagenicity, on various organisms especially humans and mammals, even at very low concentrations. Bentonite (BNT), as a type of natural clay, has hydrophilic properties, high chemical stability, cation exchange capacity, high specific surface area, and low toxicity. Bentonite activated with H2SO4 (A-BNT) was used to remove MG dyes in solution. The physicochemical properties of the adsorbent were characterized using XRD, XRF, FTIR and SAA. The adsorption was optimized using the Response Surface Methodology (RSM) with a Box-Behnken Design (BBD). BBD is designed using the PyDoE2 python library (https://github.com/clicumu/pyDOE2). A 3-level BBD was applied to study the optimal removal of MG and the input variable interactions. The optimized input variables were adsorbent mass (10, 30, and 50 mg), initial concentration of MG in solution (5, 100, and 200 mg.L-1), and contact time (10, 30, and 60 minutes). The interaction between the input variables and the percentage of MG removal was observed by plotting it on the RSM curve. The results showed that the optimum MG removal were achieved in the range of an adsorbent doses 40-50 mg, contact time of 40-55 minutes, dan initial concentration of MG 94-187 mgL-1 with an optimal removal of 99,72%.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Adsorption, Malachite Green, Bentonite, Box-Behnken Design, Response Surface Methodology, Adsorpsi, Malachite green, Bentonit, Desain Box-Behnken, Response Surface Methodology |
Subjects: | Q Science > QD Chemistry > QD547 Flocculation, precipitation, adsorption, etc. |
Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Chemistry > 47201-(S1) Undergraduate Thesis |
Depositing User: | Mia Puji Rahayu |
Date Deposited: | 08 Aug 2023 01:27 |
Last Modified: | 08 Aug 2023 01:27 |
URI: | http://repository.its.ac.id/id/eprint/104001 |
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