Fonte: Industrial & engineering chemistry research. Unidade: EEL
Assuntos: SOLUBILIDADE, ÁLCOOL, SOLUÇÕES
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MACHADO, Patrícia G et al. Phase equilibrium involving xylitol, water and ethylene glycol or 1,2-propylene glycol: Experimental data, activity coefficient modeling and prediction with artificial neural network-molecular descriptors. Industrial & engineering chemistry research, v. 57, n. 31, p. 10675-10683, 2018Tradução . . Disponível em: https://doi.org/10.1021/acs.iecr.8b02480. Acesso em: 08 out. 2025.APA
Machado, P. G., Galvão, A. C., Robazza, W. da S., Arce, P. F., & Hochscheidt, B. E. (2018). Phase equilibrium involving xylitol, water and ethylene glycol or 1,2-propylene glycol: Experimental data, activity coefficient modeling and prediction with artificial neural network-molecular descriptors. Industrial & engineering chemistry research, 57( 31), 10675-10683. doi:10.1021/acs.iecr.8b02480NLM
Machado PG, Galvão AC, Robazza W da S, Arce PF, Hochscheidt BE. Phase equilibrium involving xylitol, water and ethylene glycol or 1,2-propylene glycol: Experimental data, activity coefficient modeling and prediction with artificial neural network-molecular descriptors [Internet]. Industrial & engineering chemistry research. 2018 ; 57( 31): 10675-10683.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acs.iecr.8b02480Vancouver
Machado PG, Galvão AC, Robazza W da S, Arce PF, Hochscheidt BE. Phase equilibrium involving xylitol, water and ethylene glycol or 1,2-propylene glycol: Experimental data, activity coefficient modeling and prediction with artificial neural network-molecular descriptors [Internet]. Industrial & engineering chemistry research. 2018 ; 57( 31): 10675-10683.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acs.iecr.8b02480
