dor_id: 4149359

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650.#.4.x: Biología y Química

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/rica/index.php/rica/index

351.#.#.b: Revista Internacional de Contaminación Ambiental

351.#.#.a: Artículos

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850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/rica/index.php/rica/article/view/54830/47258

100.1.#.a: Molaei, Shafagh; Hamidpour, Mohsen; Shirani, Hossein; Sabet, Mohammad

524.#.#.a: Molaei, Shafagh, et al. (2023). Investigation of factors affecting removal of arsenic from polluted water using iron-based particles: Taguchi optimization design. Revista Internacional de Contaminación Ambiental; Vol. 39, 2023; 307-317. Recuperado de https://repositorio.unam.mx/contenidos/4149359

245.1.0.a: Investigation of factors affecting removal of arsenic from polluted water using iron-based particles: Taguchi optimization design

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-08-08

653.#.#.a: adsorption; adsorbents; heavy metals; environmental pollution; isotherms; adsorption; adsorbents; heavy metals; environmental pollution; isotherms

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico claudio.amescua@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/rica/index.php/rica/article/view/54830

001.#.#.#: 105.oai:ojs.pkp.sfu.ca:article/54830

041.#.7.h: spa

520.3.#.a: Intensive research efforts have been followed to remove arsenic (As) from contaminated water to provide potable water to millions living in different countries. Adsorption is a simple and efficient way for arsenic contamination purification in water, with a pressing challenge to find a cheap and efficient adsorbent. The present paper deals with optimizing various batch parameters for the adsorption of As from solution by synthesized iron-based particles (hematite, magnetite, and zero-valent iron (ZVI)) nanomaterials using Taguchi’s optimization methodology. Taguchi’s (L27) orthogonal design with six effective factors, namely initial As concentration, pH, contact time, adsorbent type, size, and dose, was applied for the multivariate optimization in adsorption studies for As to maximize the adsorption capacity along with the signal-to-noise ratio. The equilibrium studies revealed that the data were well described by Freundlich isotherm. The results showed that initial As concentration was the most important parameter in the adsorption process.

773.1.#.t: Revista Internacional de Contaminación Ambiental; Vol. 39 (2023); 307-317

773.1.#.o: https://www.revistascca.unam.mx/rica/index.php/rica/index

022.#.#.a: ISSN impreso: 0188-4999

310.#.#.a: Trimestral

300.#.#.a: Páginas: 307-317

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/RICA.54830

harvesting_date: 2023-11-08 13:10:00.0

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file_creation_date: 2023-08-08 19:58:00.0

file_modification_date: 2023-08-08 19:58:01.0

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245.1.0.b: Investigation of factors affecting removal of arsenic from polluted water using iron-based particles: Taguchi optimization design

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

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