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Artigo de periodico
An R-type hexagonal ferrite nanoparticles-based electrochemical sensor for Levofloxacin detection in pharmaceutical and clinical specimens (2024)
Hussain, Sajjad ; Sadiq, Imran; Baig, Jameel Ahmed; Bertotti, Mauro ; Riaz, Saira
Fonte: Microchemical Journal. Unidade: IQ
Assuntos: NANOPARTÍCULAS, ESPECTROSCOPIA
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ABNT
HUSSAIN, Sajjad et al. An R-type hexagonal ferrite nanoparticles-based electrochemical sensor for Levofloxacin detection in pharmaceutical and clinical specimens. Microchemical Journal, v. 201, p. 1-8 art. 110690, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.microc.2024.110690. Acesso em: 12 jul. 2024.
APA
Hussain, S., Sadiq, I., Baig, J. A., Bertotti, M., & Riaz, S. (2024). An R-type hexagonal ferrite nanoparticles-based electrochemical sensor for Levofloxacin detection in pharmaceutical and clinical specimens. Microchemical Journal, 201, 1-8 art. 110690. doi:10.1016/j.microc.2024.110690
NLM
Hussain S, Sadiq I, Baig JA, Bertotti M, Riaz S. An R-type hexagonal ferrite nanoparticles-based electrochemical sensor for Levofloxacin detection in pharmaceutical and clinical specimens [Internet]. Microchemical Journal. 2024 ; 201 1-8 art. 110690.[citado 2024 jul. 12 ] Available from: https://dx.doi.org/10.1016/j.microc.2024.110690
Vancouver
Hussain S, Sadiq I, Baig JA, Bertotti M, Riaz S. An R-type hexagonal ferrite nanoparticles-based electrochemical sensor for Levofloxacin detection in pharmaceutical and clinical specimens [Internet]. Microchemical Journal. 2024 ; 201 1-8 art. 110690.[citado 2024 jul. 12 ] Available from: https://dx.doi.org/10.1016/j.microc.2024.110690
Artigo de periodico
Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach (2024)
Gul, Saima; Hussain, Sajjad ; Khan, Hammad ; Arshad, Muhammad; Khan, Javaid Rabbani ; Motheo, Artur de Jesus
Fonte: Chemosphere. Unidade: IQSC
Assuntos: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ANTIBIÓTICOS
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ABNT
GUL, Saima et al. Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach. Chemosphere, v. 357, p. 141868, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chemosphere.2024.141868. Acesso em: 12 jul. 2024.
APA
Gul, S., Hussain, S., Khan, H., Arshad, M., Khan, J. R., & Motheo, A. de J. (2024). Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach. Chemosphere, 357, 141868. doi:10.1016/j.chemosphere.2024.141868
NLM
Gul S, Hussain S, Khan H, Arshad M, Khan JR, Motheo A de J. Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach [Internet]. Chemosphere. 2024 ; 357 141868.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.chemosphere.2024.141868
Vancouver
Gul S, Hussain S, Khan H, Arshad M, Khan JR, Motheo A de J. Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach [Internet]. Chemosphere. 2024 ; 357 141868.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.chemosphere.2024.141868
Artigo de periodico
Surface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization (2022)
Khan, Saad U.; Khan, Hammad; Hussain, Sajjad; Torquato, Lilian Danielle de Moura; Khan, Sabir; Miranda, Raul Ghiraldelli ; Oliveira, Danielle Palma de; Dorta, Daniel Junqueira ; Perini, João Angelo de Lima; Choi, Hyeok; Zanoni, Maria Valnice Boldrin
Fonte: Environmental Science and Pollution Research. Unidades: FCFRP, FFCLRP
Assuntos: FOTOCATÁLISE, DEGRADAÇÃO AMBIENTAL, ALGORITMOS, INTELIGÊNCIA ARTIFICIAL
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ABNT
KHAN, Saad U. et al. Surface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization. Environmental Science and Pollution Research, v. 29, n. 34, p. 51651-51664, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11356-022-19230-x. Acesso em: 12 jul. 2024.
APA
Khan, S. U., Khan, H., Hussain, S., Torquato, L. D. de M., Khan, S., Miranda, R. G., et al. (2022). Surface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization. Environmental Science and Pollution Research, 29( 34), 51651-51664. doi:10.1007/s11356-022-19230-x
NLM
Khan SU, Khan H, Hussain S, Torquato LD de M, Khan S, Miranda RG, Oliveira DP de, Dorta DJ, Perini JA de L, Choi H, Zanoni MVB. Surface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization [Internet]. Environmental Science and Pollution Research. 2022 ; 29( 34): 51651-51664.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1007/s11356-022-19230-x
Vancouver
Khan SU, Khan H, Hussain S, Torquato LD de M, Khan S, Miranda RG, Oliveira DP de, Dorta DJ, Perini JA de L, Choi H, Zanoni MVB. Surface facet Fe2O3-based visible light photocatalytic activation of persulfate for the removal of RR120 dye: nonlinear modeling and optimization [Internet]. Environmental Science and Pollution Research. 2022 ; 29( 34): 51651-51664.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1007/s11356-022-19230-x
Artigo de periodico
Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study (2021)
Hussain, Sajjad; Khan, Hammad; Gul, Saima; Steter, Juliana R; Motheo, Artur de Jesus
Fonte: Chemosphere. Unidade: IQSC
Assuntos: TRATAMENTO QUÍMICO DE ÁGUAS RESIDUÁRIAS, FÁRMACOS
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ABNT
HUSSAIN, Sajjad et al. Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study. Chemosphere, v. 276, n. 130151 August 2021, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chemosphere.2021.130151. Acesso em: 12 jul. 2024.
APA
Hussain, S., Khan, H., Gul, S., Steter, J. R., & Motheo, A. de J. (2021). Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study. Chemosphere, 276( 130151 August 2021). doi:10.1016/j.chemosphere.2021.130151
NLM
Hussain S, Khan H, Gul S, Steter JR, Motheo A de J. Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study [Internet]. Chemosphere. 2021 ; 276( 130151 August 2021):[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.chemosphere.2021.130151
Vancouver
Hussain S, Khan H, Gul S, Steter JR, Motheo A de J. Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study [Internet]. Chemosphere. 2021 ; 276( 130151 August 2021):[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.chemosphere.2021.130151
Trabalho de evento-resumo
Photo assusted electrochemical degradation of Tetracycline hydrochlorite (TeC) artificial urine medium (2017)
Hussain, Sajjad; Gul, Saima; Miwa, Douglas Waychi; Motheo, Artur de Jesus
Fonte: Proceedings. Nome do evento: IUPAC General Assembly. Unidade: IQSC
Assunto: ELETROQUÍMICA
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ABNT
HUSSAIN, Sajjad et al. Photo assusted electrochemical degradation of Tetracycline hydrochlorite (TeC) artificial urine medium. 2017, Anais.. Durham: IUPAC, 2017. Disponível em: https://repositorio.usp.br/directbitstream/239f9ee5-c278-4495-a1b9-254e5ea6818c/P16958.pdf. Acesso em: 12 jul. 2024.
APA
Hussain, S., Gul, S., Miwa, D. W., & Motheo, A. de J. (2017). Photo assusted electrochemical degradation of Tetracycline hydrochlorite (TeC) artificial urine medium. In Proceedings. Durham: IUPAC. Recuperado de https://repositorio.usp.br/directbitstream/239f9ee5-c278-4495-a1b9-254e5ea6818c/P16958.pdf
NLM
Hussain S, Gul S, Miwa DW, Motheo A de J. Photo assusted electrochemical degradation of Tetracycline hydrochlorite (TeC) artificial urine medium [Internet]. Proceedings. 2017 ;[citado 2024 jul. 12 ] Available from: https://repositorio.usp.br/directbitstream/239f9ee5-c278-4495-a1b9-254e5ea6818c/P16958.pdf
Vancouver
Hussain S, Gul S, Miwa DW, Motheo A de J. Photo assusted electrochemical degradation of Tetracycline hydrochlorite (TeC) artificial urine medium [Internet]. Proceedings. 2017 ;[citado 2024 jul. 12 ] Available from: https://repositorio.usp.br/directbitstream/239f9ee5-c278-4495-a1b9-254e5ea6818c/P16958.pdf
Artigo de periodico
Photo-assisted electrochemical degradation of sulfamethoxazole using a Ti/Ru0.3Ti0.7O2 anode: Mechanistic and kinetic features of the process (2017)
Hussain, Sajjad; Steter, Juliana Ribeiro; Gul, Saima; Motheo, Artur de Jesus
Fonte: Journal of Environmental Management. Unidade: IQSC
Assuntos: ANTIBIÓTICOS, MEIO AMBIENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HUSSAIN, Sajjad et al. Photo-assisted electrochemical degradation of sulfamethoxazole using a Ti/Ru0.3Ti0.7O2 anode: Mechanistic and kinetic features of the process. Journal of Environmental Management, v. 201, p. 153-162, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.jenvman.2017.06.043. Acesso em: 12 jul. 2024.
APA
Hussain, S., Steter, J. R., Gul, S., & Motheo, A. de J. (2017). Photo-assisted electrochemical degradation of sulfamethoxazole using a Ti/Ru0.3Ti0.7O2 anode: Mechanistic and kinetic features of the process. Journal of Environmental Management, 201, 153-162. doi:10.1016/j.jenvman.2017.06.043
NLM
Hussain S, Steter JR, Gul S, Motheo A de J. Photo-assisted electrochemical degradation of sulfamethoxazole using a Ti/Ru0.3Ti0.7O2 anode: Mechanistic and kinetic features of the process [Internet]. Journal of Environmental Management. 2017 ; 201 153-162.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.jenvman.2017.06.043
Vancouver
Hussain S, Steter JR, Gul S, Motheo A de J. Photo-assisted electrochemical degradation of sulfamethoxazole using a Ti/Ru0.3Ti0.7O2 anode: Mechanistic and kinetic features of the process [Internet]. Journal of Environmental Management. 2017 ; 201 153-162.[citado 2024 jul. 12 ] Available from: https://doi.org/10.1016/j.jenvman.2017.06.043

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