Search Results - "Abdous, Behnaz" :: K.UTB vyhledávací portál

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Predicting the aggregation number of cationic surfactants based on ANN-QSAR modeling approaches: understanding the impact of molecular descriptors on aggregation numbers

by Abdous, Behnaz, Sajjadi, S. Maryam, Bagheri, Ahmad
Published in RSC advances (22.11.2022)

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Determining the Aggregation Number of Anionic Surfactants based on Conductivity Method: Employing QSAR-ANN Modelling Techniques for Predicting the aggregation number of surfactants

by behnaz abdous, S. Maryam Sajjadi, Ahmad Bagheri
Published in شیمی کاربردی روز (01.06.2022)

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A thorough investigation of photo-catalytic degradation of and -nitro phenols in binary mixtures: new insights into evaluating degradation progress using chemometrics approaches

by Sajjadi, S. Maryam, Asadollah-pour, Zeinab, Sajjadi, S. Hashem, Nabavi, S. Nasrin, Abed, Zahra, Farzin, Faezeh, Emadi, Atefeh, Abdous, Behnaz
Published in New journal of chemistry (26.07.2021)

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A thorough investigation of photo-catalytic degradation of ortho and para -nitro phenols in binary mixtures: new insights into evaluating degradation progress using chemometrics approaches

by Sajjadi, S. Maryam, Asadollah-pour, Zeinab, Sajjadi, S. Hashem, Nabavi, S. Nasrin, Abed, Zahra, Farzin, Faezeh, Emadi, Atefeh, Abdous, Behnaz
Published in New journal of chemistry (07.08.2021)

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β-Cyclodextrin modified mesoporous silica nanoparticles as a nano-carrier: Response surface methodology to investigate and optimize loading and release processes for curcumin delivery

by Abdous, Behnaz, Sajjadi, S. Maryam, Ma’mani, Leila
Published in Journal of applied biomedicine (01.07.2017)

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Investigation of Drug Release Kinetic in Nano-drug Delivery Systems by Chemometric Multivariate Hard Modeling Method

by Behnaz Abdous, Sayedeh Maryam Sajjadi, Leila Mamani
Published in شیمی کاربردی روز (01.06.2015)

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Journal Article

Predicting the aggregation number of cationic surfactants based on ANN-QSAR modeling approaches: understanding the impact of molecular descriptors on aggregation numbers

Determining the Aggregation Number of Anionic Surfactants based on Conductivity Method: Employing QSAR-ANN Modelling Techniques for Predicting the aggregation number of surfactants

A thorough investigation of photo-catalytic degradation of and -nitro phenols in binary mixtures: new insights into evaluating degradation progress using chemometrics approaches

A thorough investigation of photo-catalytic degradation of ortho and para -nitro phenols in binary mixtures: new insights into evaluating degradation progress using chemometrics approaches

β-Cyclodextrin modified mesoporous silica nanoparticles as a nano-carrier: Response surface methodology to investigate and optimize loading and release processes for curcumin delivery

Investigation of Drug Release Kinetic in Nano-drug Delivery Systems by Chemometric Multivariate Hard Modeling Method

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