These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 31035726)

  • 1. Characterisation of Gas-Chromatographic Poly(Siloxane) Stationary Phases by Theoretical Molecular Descriptors and Prediction of McReynolds Constants.
    D'Archivio AA; Giannitto A
    Int J Mol Sci; 2019 Apr; 20(9):. PubMed ID: 31035726
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transfer of gas chromatographic retention data among poly(siloxane) columns by quantitative structure-retention relationships based on molecular descriptors of both solutes and stationary phases.
    Biancolillo A; D'Archivio AA
    J Chromatogr A; 2022 Jan; 1663():462758. PubMed ID: 34954535
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cross-column prediction of gas-chromatographic retention indices of saturated esters.
    D'Archivio AA; Maggi MA; Ruggieri F
    J Chromatogr A; 2014 Aug; 1355():269-77. PubMed ID: 24939086
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Revised solute descriptors for characterizing retention properties of open-tubular columns in gas chromatography and their application to a carborane-siloxane copolymer stationary phase.
    Poole CF; Ahmed H; Kiridena W; Patchett CC; Koziol WW
    J Chromatogr A; 2006 Feb; 1104(1-2):299-312. PubMed ID: 16343516
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative structure-retention relationships for pyridinium-based ionic liquids used as gas chromatographic stationary phases: convenient software and assessment of reliability of the results.
    Sholokhova AY; Matyushin DD; Shashkov MV
    J Chromatogr A; 2024 Aug; 1730():465144. PubMed ID: 38996513
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cross-column prediction of gas-chromatographic retention of polychlorinated biphenyls by artificial neural networks.
    D'Archivio AA; Incani A; Ruggieri F
    J Chromatogr A; 2011 Dec; 1218(48):8679-90. PubMed ID: 22000780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of retention in hydrophilic interaction liquid chromatography using solute molecular descriptors based on chemical structures.
    Taraji M; Haddad PR; Amos RI; Talebi M; Szucs R; Dolan JW; Pohl CA
    J Chromatogr A; 2017 Feb; 1486():59-67. PubMed ID: 28049585
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cross-column prediction of gas-chromatographic retention of polybrominated diphenyl ethers.
    D'Archivio AA; Giannitto A; Maggi MA
    J Chromatogr A; 2013 Jul; 1298():118-31. PubMed ID: 23726355
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Gas chromatography system constant database for 52 wall-coated, open-tubular columns covering the temperature range 60-140 °C.
    Poole CF
    J Chromatogr A; 2019 Oct; 1604():460482. PubMed ID: 31474468
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Theoretical characterization of gas-liquid chromatographic stationary phases with quantum chemical descriptors.
    Hoffmann EA; Fekete ZA; Rajkó R; Pálinkó I; Körtvélyesi T
    J Chromatogr A; 2009 Mar; 1216(12):2540-7. PubMed ID: 19195662
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Localised quantitative structure-retention relationship modelling for rapid method development in reversed-phase high performance liquid chromatography.
    Park SH; De Pra M; Haddad PR; Grosse S; Pohl CA; Steiner F
    J Chromatogr A; 2020 Jan; 1609():460508. PubMed ID: 31530383
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Isothermal retention indices on poly(3-cyanopropylmethylsiloxane) stationary phases.
    Tello AM; Lebrón-Aguilar R; Quintanilla-López JE; Santiuste JM
    J Chromatogr A; 2009 Mar; 1216(10):1630-9. PubMed ID: 18992890
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Modelling of UPLC behaviour of acylcarnitines by quantitative structure-retention relationships.
    D'Archivio AA; Maggi MA; Ruggieri F
    J Pharm Biomed Anal; 2014 Aug; 96():224-30. PubMed ID: 24780923
    [TBL] [Abstract][Full Text] [Related]  

  • 14. System constants for the bis(cyanopropylsiloxane)-co-methylsilarylene HP-88 and poly(siloxane) Rtx-440 stationary phases.
    Kiridena W; Patchett CC; Koziol WW; Poole CF
    J Chromatogr A; 2005 Jul; 1081(2):248-54. PubMed ID: 16038217
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Extension of the system constants database for open-tubular columns: system maps at low and intermediate temperatures for four new columns.
    Atapattu SN; Eggers K; Poole CF; Kiridena W; Koziol WW
    J Chromatogr A; 2009 Mar; 1216(10):1640-9. PubMed ID: 19081101
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Retention modelling of polychlorinated biphenyls in comprehensive two-dimensional gas chromatography.
    D'Archivio AA; Incani A; Ruggieri F
    Anal Bioanal Chem; 2011 Jan; 399(2):903-13. PubMed ID: 20972553
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance comparison of partial least squares-related variable selection methods for quantitative structure retention relationships modelling of retention times in reversed-phase liquid chromatography.
    Talebi M; Schuster G; Shellie RA; Szucs R; Haddad PR
    J Chromatogr A; 2015 Dec; 1424():69-76. PubMed ID: 26592563
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modelling of retention of pesticides in reversed-phase high-performance liquid chromatography: quantitative structure-retention relationships based on solute quantum-chemical descriptors and experimental (solvatochromic and spin-probe) mobile phase descriptors.
    D'Archivio AA; Ruggieri F; Mazzeo P; Tettamanti E
    Anal Chim Acta; 2007 Jun; 593(2):140-51. PubMed ID: 17543600
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Determination and use of Rohrschneider-McReynolds constants for chiral stationary phases used in capillary gas chromatography.
    Berthod A; Zhou EY; Le K; Armstrong DW
    Anal Chem; 1995 Mar; 67(5):849-57. PubMed ID: 7762821
    [TBL] [Abstract][Full Text] [Related]  

  • 20. QSRR prediction of the chromatographic retention behavior of painkiller drugs.
    Ghasemi J; Saaidpour S
    J Chromatogr Sci; 2009 Feb; 47(2):156-63. PubMed ID: 19222924
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.