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Elsevier电子期刊(156)
在“
Elsevier电子期刊
”中,
命中:
156
条,耗时:小于0.01 秒
在所有数据库中总计命中:
156
条
1.
Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures
作者:
Maryam Taraji
a
;
Paul R. Haddad
a
;
Paul.Haddad@utas.edu.au
;
Ruth I.J. Amos
a
;
Mohammad Talebi
a
;
Roman Szucs
b
;
John W. Dolan
c
;
Christopher A. Pohl
d
关键词:
HILIC method development
;
Retention prediction
;
QSRR
;
Optimized GA-PLS
;
HILIC mechanism
刊名:Journal of Chromatography A
出版年:2017
2.
Quantitative structure-retention relationship model for the determination of naratriptan hydrochloride and its impurities based on artificial neural networks coupled with genetic algorithm
作者:
Mikołaj Mizera
a
;
Anna Krause
b
;
Przemysław Zalewski
a
;
Robert Skibiński
c
;
Judyta Cielecka-Piontek
a
;
jpiontek@ump.edu.pl
关键词:
Qualitative structure retention relationship (
QSRR
)
;
Artificial neutral networks
;
Genetic algorithm
;
Naratriptan hydrochloride
;
Sumatriptan succinate
;
Related products chromatographic separation
刊名:Talanta
出版年:2017
3.
Retention prediction of low molecular weight anions in ion chromatography based on quantitative structure-retention relationships applied to the linear solvent strength model
作者:
Soo Hyun Park
a
;
Paul R. Haddad
a
;
Paul.Haddad@utas.edu.au
;
Mohammad Talebi
a
;
Eva Tyteca
a
;
Ruth I.J. Amos
a
;
Roman Szucs
b
;
John W. Dolan
c
;
Christopher A. Pohl
d
关键词:
Quantitative structure-retention relationships
;
Ion chromatography
;
Linear solvent strength model
;
Evolutionary algorithm
;
Multiple linear regression
刊名:Journal of Chromatography A
出版年:2017
4.
Lipophilicity estimation and characterization of selected steroid derivatives of biomedical importance applying RP HPLC
作者:
Lidija R. Jevrić
a
;
Milica Ž. Karadžić
a
;
mkaradza@uns.ac.rs
;
Anamarija I. Mandić
b
;
Sanja O. Podunavac Kuzmanović
a
;
Strahinja Z. Kovačević
a
;
Andrea R. Nikolić
c
;
Aleksandar M. Oklje&scaron
;
a
c
;
Marija N. Sakač
c
;
Katarina M. Penov Ga&scaron
;
i
c
;
Srđan Z. Stojanović
d
关键词:
Drug candidates
;
Chemometrics
;
Lipophilicity
;
Liquid chromatography
;
Quantitative structure retention relationships
刊名:Journal of Pharmaceutical and Biomedical Analysis
出版年:2017
5.
Comprehensive
QSRR
modeling as a starting point in characterization and further development of anticancer drugs based on 17α-picolyl and 17(E)-picolinylidene androstane structures
作者:
Strahinja Z. Kovačević
a
;
strahko@uns.ac.rs" class="auth_mail" title="E-mail the corresponding author
;
Sanja O. Podunavac-Kuzmanović
a
;
Lidija R. Jevrić
a
;
Pavle T. Jovanov
b
;
Evgenija A. Djurendić
c
;
Jovana J. Ajduković
c
关键词:
ADME
;
absorption
;
distribution
;
metabolism
;
excretion
;
ANN
;
artificial neural networks
;
AR
;
androgen receptor negative
;
BP
;
boiling point
;
CP
;
critical pressure
;
CRRN
;
comparison of ranks by random numbers
;
CT
;
critical temperature
;
DE
;
Dreiding energy
;
EP
;
electrostatic potential surface
;
GSA
;
global sensitivity analysis
;
HCA
;
hierarchical cluster analysis
;
HILI
;
hydrophilic-lipophilic surface
;
HOMO
;
highest occupied molecular orbital
;
HPLC
;
high performance liquid chromatography
;
LOO
;
leave-on
刊名:European Journal of Pharmaceutical Sciences
出版年:2016
6.
Chromatographic behavior of selected antibiotic drugs supported by quantitative structure-retention relationships
作者:
Malgorzata Szultka-Mlynska
a
;
b
;
szultka.malgorzata@wp.pl
;
Boguslaw Buszewski
a
;
b
关键词:
Antibiotic drugs
;
Reversed-phase high performance liquid chromatography (RP HPLC)
;
Quantitative structure-retention relationships (
QSRR
s)
;
Structural descriptors
;
Chemically bonded stationary phases
;
Retention mechanism
刊名:Journal of Chromatography A
出版年:2016
7.
Application of a quantitative structure retention relationship approach for the prediction of the two-dimensional gas chromatography retention times of polycyclic aromatic sulfur heterocycle compounds
作者:
Rafal Gieleciak
;
rafal.gieleciak@canada.ca" class="auth_mail" title="E-mail the corresponding author
;
Darcy Hager
;
Nicole E. Heshka
关键词:
Quantitative structure retention relationship (
QSRR
)
;
Two dimensional gas chromatography (GC
;
×
;
;
GC)
;
Retention prediction
;
Variable selection
;
Sulfur standards
;
PASHs
刊名:Journal of Chromatography A
出版年:2016
8.
Quantitative structure retention/activity relationships of biologically relevant 4-amino-7-chloroquinoline based compounds
作者:
Sandra &Scaron
;
egan
a
;
sgaica@chem.bg.ac.rs" class="auth_mail" title="E-mail the corresponding author
;
Igor Opsenica
b
;
Mario Zlatović
b
;
Du&scaron
;
anka Milojković-Opsenica
b
;
Bogdan &Scaron
;
olaja
b
关键词:
4‑Amino-7-chloroquinoline
;
Reversed-phase thin-layer chromatography (RPTLC)
;
Lipophilicity
;
Quantitative structure-retention relationship (
QSRR
)
;
Quantitative structure activity relationship (QSAR)
刊名:Journal of Chromatography B, Analytical Technologies in the Biomedical and Life Sciences
出版年:2016
9.
Predicting gas chromatography relative retention times for polychlorinated biphenyls using chlorine substitution pattern contribution method
作者:
An Li
a
;
b
;
anli@uic.edu" class="auth_mail" title="E-mail the corresponding author
;
Jie Gao
b
;
Sally Freels
a
;
Jun Huang
b
;
Gang Yu
b
关键词:
Polychlorinated biphenyls
;
Gas chromatography
;
Relative retention time
;
Substitution pattern
;
Quantitative structure retention relationship
刊名:Journal of Chromatography A
出版年:2016
10.
Prediction of retention time in reversed-phase liquid chromatography as a tool for steroid identification
作者:
Giuseppe Marco Randazzo
a
;
David Tonoli
a
;
b
;
c
;
Stephanie Hambye
a
;
Davy Guillarme
a
;
Fabienne Jeanneret
a
;
b
;
c
;
Alessandra Nurisso
a
;
Laura Goracci
d
;
Julien Boccard
a
;
Serge Rudaz
a
;
b
;
serge.rudaz@unige.ch" class="auth_mail" title="E-mail the corresponding author
关键词:
Retention time prediction
;
Steroids
;
Isotopomers identification
;
LSS theory
;
Reversed-phase liquid chromatography
;
Quantitative structure&ndash
;
retention relationships
刊名:Analytica Chimica Acta
出版年:2016
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