Detalhe da pesquisa
1.
Retention prediction using quantitative structure-retention relationships combined with the hydrophobic subtraction model in reversed-phase liquid chromatography.
Electrophoresis
; 40(18-19): 2415-2419, 2019 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-30953374
2.
Retention Index Prediction Using Quantitative Structure-Retention Relationships for Improving Structure Identification in Nontargeted Metabolomics.
Anal Chem
; 90(15): 9434-9440, 2018 08 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-29952550
3.
Rapid Method Development in Hydrophilic Interaction Liquid Chromatography for Pharmaceutical Analysis Using a Combination of Quantitative Structure-Retention Relationships and Design of Experiments.
Anal Chem
; 89(3): 1870-1878, 2017 02 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-28208251
4.
Benchmarking of Computational Methods for Creation of Retention Models in Quantitative Structure-Retention Relationships Studies.
J Chem Inf Model
; 57(11): 2754-2762, 2017 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-29028323
5.
Hydrogen from formic acid through its selective disproportionation over sodium germanate--a non-transition-metal catalysis system.
Angew Chem Int Ed Engl
; 53(42): 11275-9, 2014 Oct 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-25169798
6.
Creation of an international laboratory network towards global microplastics monitoring harmonisation.
Sci Rep
; 14(1): 12714, 2024 06 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38830923
7.
Mechanistic investigation of the oxidation of hydrazides: implications for the activation of the TB drug isoniazid.
Org Biomol Chem
; 11(1): 170-6, 2013 Jan 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-23165368
8.
Occurrence and abundance of meso and microplastics in sediment, surface waters, and marine biota from the South Pacific region.
Mar Pollut Bull
; 160: 111572, 2020 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-32920260
9.
Nucleophilic acyl substitution of acyl diimides.
J Org Chem
; 74(15): 5707-10, 2009 Aug 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-19530663
10.
A mechanistic study on the oxidation of hydrazides: application to the tuberculosis drug isoniazid.
Chem Commun (Camb)
; (14): 1695-7, 2008 Apr 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-18368168
11.
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model.
J Chromatogr A
; 1541: 1-11, 2018 Mar 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-29454529
12.
Chemometric-assisted method development in hydrophilic interaction liquid chromatography: A review.
Anal Chim Acta
; 1000: 20-40, 2018 Feb 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-29289311
13.
Towards a chromatographic similarity index to establish localised Quantitative Structure-Retention Relationships for retention prediction. III Combination of Tanimoto similarity index, logP, and retention factor ratio to identify optimal analyte training sets for ion chromatography.
J Chromatogr A
; 1520: 107-116, 2017 Oct 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-28916393
14.
Error measures in quantitative structure-retention relationships studies.
J Chromatogr A
; 1524: 298-302, 2017 Nov 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-29037590
15.
Use of dual-filtering to create training sets leading to improved accuracy in quantitative structure-retention relationships modelling for hydrophilic interaction liquid chromatographic systems.
J Chromatogr A
; 1507: 53-62, 2017 Jul 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-28587779
16.
Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures.
J Chromatogr A
; 1486: 59-67, 2017 Feb 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-28049585
17.
Retention prediction of low molecular weight anions in ion chromatography based on quantitative structure-retention relationships applied to the linear solvent strength model.
J Chromatogr A
; 1486: 68-75, 2017 Feb 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-28057331
18.
Towards a chromatographic similarity index to establish localized quantitative structure-retention models for retention prediction: Use of retention factor ratio.
J Chromatogr A
; 1486: 50-58, 2017 Feb 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-27720174
19.
Towards a chromatographic similarity index to establish localised quantitative structure-retention relationships for retention prediction. II Use of Tanimoto similarity index in ion chromatography.
J Chromatogr A
; 1523: 173-182, 2017 Nov 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-28291517
20.
Hydrogen-atom abstraction from a model amino acid: dependence on the attacking radical.
J Phys Chem B
; 119(3): 783-8, 2015 Jan 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-25072602