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Bromomethylated poly(2,6-dimethyl-1,4-phenylene oxide) (BPPO)-based amphoteric hollow-fiber membranes / Zhenfeng Cheng in Industrial & engineering chemistry research, Vol. 49 N° 18 (Septembre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8741–8748 Titre : Bromomethylated poly(2,6-dimethyl-1,4-phenylene oxide) (BPPO)-based amphoteric hollow-fiber membranes : preparation and lysozyme adsorption Type de document : texte imprimé Auteurs : Zhenfeng Cheng, Auteur ; Cuiming Wu, Auteur ; Weihua Yang, Auteur Année de publication : 2010 Article en page(s) : pp. 8741–8748 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Hollow-fiber  membrane Résumé : For the recovery and purification of proteins, an amphoteric hollow-fiber membrane (AHFM) was prepared from bromomethylated poly(2,6-dimethyl-1,4-phenylene oxide) (BPPO) by ethylenediamination and carboxylation. The success in modifying BPPO was confirmed by FTIR spectra, amphoteric group density, anion-exchange capacity (AEC), and cation-exchange capacity (CEC). For potential applications, the membranes were tested for the adsorption of lysozyme, and the results showed that the adsorption amount increased with increasing initial lysozyme concentration. The adsorption fits the Langmuir isotherm and the Freundlich equation well, and the maximum experimental amount of lysozyme adsorbed was found to be 4.00 mg/g, which was close to the calculated values (3.85 and 4.13 mg/g according to the Langmuir and Freundlich equations, respectively). ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100348e [article] Bromomethylated poly(2,6-dimethyl-1,4-phenylene oxide) (BPPO)-based amphoteric hollow-fiber membranes : preparation and lysozyme adsorption [texte imprimé] / Zhenfeng Cheng, Auteur ; Cuiming Wu, Auteur ; Weihua Yang, Auteur . - 2010 . - pp. 8741–8748. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8741–8748 Mots-clés : Hollow-fiber  membrane Résumé : For the recovery and purification of proteins, an amphoteric hollow-fiber membrane (AHFM) was prepared from bromomethylated poly(2,6-dimethyl-1,4-phenylene oxide) (BPPO) by ethylenediamination and carboxylation. The success in modifying BPPO was confirmed by FTIR spectra, amphoteric group density, anion-exchange capacity (AEC), and cation-exchange capacity (CEC). For potential applications, the membranes were tested for the adsorption of lysozyme, and the results showed that the adsorption amount increased with increasing initial lysozyme concentration. The adsorption fits the Langmuir isotherm and the Freundlich equation well, and the maximum experimental amount of lysozyme adsorbed was found to be 4.00 mg/g, which was close to the calculated values (3.85 and 4.13 mg/g according to the Langmuir and Freundlich equations, respectively). ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100348e

Variable molecular connectivity indices for predicting the diamagnetic susceptibilities of organic compounds / Lailong Mu in Industrial & engineering chemistry research, Vol. 48 N° 8 (Avril 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 8 (Avril 2009) . - pp. 4165–4175 Titre : Variable molecular connectivity indices for predicting the diamagnetic susceptibilities of organic compounds Type de document : texte imprimé Auteurs : Lailong Mu, Auteur ; Hongmei He, Auteur ; Weihua Yang, Auteur Année de publication : 2009 Article en page(s) : pp. 4165–4175 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Molar  diamagnetic  susceptibilities  Organic  compounds  Average  absolute  deviation  Multivariate  linear  regression Résumé : For predicting the molar diamagnetic susceptibilities of organic compounds, a variable molecular connectivity index mχ′ and its converse index mχ′′ based on the adjacency matrix of molecular graphs and the variable atomic valence connectivity index δi′ were proposed. The optimal values of parameters a, b, and y included in definition of δi′, mχ′ and mχ′′ can be found by optimization methods. When a = 1.10, b = 2.8, and y = 0.36, a good five-parameter model can be constructed from mχ′ and mχ′′ by using the best subsets regression analysis method for the molar diamagnetic susceptibilities of organic compounds. The correlation coefficient r, standard error s, and average absolute deviation (AAD) of the multivariate linear regression (MLR) model are 0.9930, 4.99, and 3.72 cgs, respectively, for the 720 organic compounds (training set). The AAD of predicted values of the molar diamagnetic susceptibility of another 361 organic compounds (test set) is 4.37 cgs for the MLR model. The results show that the current method is more effective than literature methods for estimating the molar diamagnetic susceptibility of an organic compound. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801252j [article] Variable molecular connectivity indices for predicting the diamagnetic susceptibilities of organic compounds [texte imprimé] / Lailong Mu, Auteur ; Hongmei He, Auteur ; Weihua Yang, Auteur . - 2009 . - pp. 4165–4175. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 8 (Avril 2009) . - pp. 4165–4175 Mots-clés : Molar  diamagnetic  susceptibilities  Organic  compounds  Average  absolute  deviation  Multivariate  linear  regression Résumé : For predicting the molar diamagnetic susceptibilities of organic compounds, a variable molecular connectivity index mχ′ and its converse index mχ′′ based on the adjacency matrix of molecular graphs and the variable atomic valence connectivity index δi′ were proposed. The optimal values of parameters a, b, and y included in definition of δi′, mχ′ and mχ′′ can be found by optimization methods. When a = 1.10, b = 2.8, and y = 0.36, a good five-parameter model can be constructed from mχ′ and mχ′′ by using the best subsets regression analysis method for the molar diamagnetic susceptibilities of organic compounds. The correlation coefficient r, standard error s, and average absolute deviation (AAD) of the multivariate linear regression (MLR) model are 0.9930, 4.99, and 3.72 cgs, respectively, for the 720 organic compounds (training set). The AAD of predicted values of the molar diamagnetic susceptibility of another 361 organic compounds (test set) is 4.37 cgs for the MLR model. The results show that the current method is more effective than literature methods for estimating the molar diamagnetic susceptibility of an organic compound. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801252j