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467 related items for PubMed ID: 22000780
1. 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 02; 1218(48):8679-90. PubMed ID: 22000780 [Abstract] [Full Text] [Related]
2. Cross-column prediction of gas-chromatographic retention of polybrominated diphenyl ethers. D'Archivio AA, Giannitto A, Maggi MA. J Chromatogr A; 2013 Jul 12; 1298():118-31. PubMed ID: 23726355 [Abstract] [Full Text] [Related]
3. Retention modelling of polychlorinated biphenyls in comprehensive two-dimensional gas chromatography. D'Archivio AA, Incani A, Ruggieri F. Anal Bioanal Chem; 2011 Jan 12; 399(2):903-13. PubMed ID: 20972553 [Abstract] [Full Text] [Related]
4. Investigation of retention behavior of polychlorinated biphenyl congeners on 18 different HRGC columns using molecular surface average local ionization energy descriptors. Ghavami R, Sepehri B. J Chromatogr A; 2012 Apr 13; 1233():116-25. PubMed ID: 22386058 [Abstract] [Full Text] [Related]
5. Development of quantitative structure gas chromatographic relative retention time models on seven stationary phases for 209 polybrominated diphenyl ether congeners. Wang Y, Li A, Liu H, Zhang Q, Ma W, Song W, Jiang G. J Chromatogr A; 2006 Jan 27; 1103(2):314-28. PubMed ID: 16352309 [Abstract] [Full Text] [Related]
6. Cross-column retention prediction in reversed-phase high-performance liquid chromatography by artificial neural network modelling. D'Archivio AA, Giannitto A, Maggi MA, Ruggieri F. Anal Chim Acta; 2012 Mar 02; 717():52-60. PubMed ID: 22304815 [Abstract] [Full Text] [Related]
7. Multiple-column RP-HPLC retention modelling based on solvatochromic or theoretical solute descriptors. D'Archivio AA, Maggi MA, Ruggieri F. J Sep Sci; 2010 Feb 02; 33(2):155-66. PubMed ID: 20094990 [Abstract] [Full Text] [Related]
8. Cross-column prediction of gas-chromatographic retention indices of saturated esters. D'Archivio AA, Maggi MA, Ruggieri F. J Chromatogr A; 2014 Aug 15; 1355():269-77. PubMed ID: 24939086 [Abstract] [Full Text] [Related]
9. Prediction of gas chromatographic retention indices of some amino acids and carboxylic acids from their structural descriptors. Fatemi MH, Elyasi M. J Sep Sci; 2011 Nov 15; 34(22):3216-20. PubMed ID: 22012944 [Abstract] [Full Text] [Related]
10. Use of a polar ionic liquid as second column for the comprehensive two-dimensional GC separation of PCBs. Zapadlo M, Krupcík J, Májek P, Armstrong DW, Sandra P. J Chromatogr A; 2010 Sep 10; 1217(37):5859-67. PubMed ID: 20696431 [Abstract] [Full Text] [Related]
11. Artificial neural network modelling of retention of pesticides in various octadecylsiloxane-bonded reversed-phase columns and water-acetonitrile mobile phase. D'Archivio AA, Maggi MA, Mazzeo P, Ruggieri F. Anal Chim Acta; 2009 Jul 30; 646(1-2):47-61. PubMed ID: 19523555 [Abstract] [Full Text] [Related]
12. Potential of topological descriptors to model the retention of polychlorinated biphenyls in different gas chromatography stationary phases, including ionic liquid-based columns. Escobar-Arnanz J, Sanz ML, Ros M, Sanz J, Ramos L. J Chromatogr A; 2020 Apr 12; 1616():460844. PubMed ID: 31952814 [Abstract] [Full Text] [Related]
13. Enantiomeric separation of chiral polychlorinated biphenyls on beta-cyclodextrin capillary columns by means of heart-cut multidimensional gas chromatography and comprehensive two-dimensional gas chromatography. Application to food samples. Bordajandi LR, Korytár P, de Boer J, González MJ. J Sep Sci; 2005 Feb 12; 28(2):163-71. PubMed ID: 15754824 [Abstract] [Full Text] [Related]
14. 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 25; 1663():462758. PubMed ID: 34954535 [Abstract] [Full Text] [Related]
15. Multi-variable retention modelling in reversed-phase high-performance liquid chromatography based on the solvation method: a comparison between curvilinear and artificial neural network regression. D'Archivio AA, Maggi MA, Ruggieri F. Anal Chim Acta; 2011 Mar 25; 690(1):35-46. PubMed ID: 21414434 [Abstract] [Full Text] [Related]
16. Retention indexes for temperature-programmed gas chromatography of polychlorinated biphenyls. Chu S, Hong CS. Anal Chem; 2004 Sep 15; 76(18):5486-97. PubMed ID: 15362911 [Abstract] [Full Text] [Related]
17. Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks. Gupta VK, Khani H, Ahmadi-Roudi B, Mirakhorli S, Fereyduni E, Agarwal S. Talanta; 2011 Jan 15; 83(3):1014-22. PubMed ID: 21147352 [Abstract] [Full Text] [Related]
18. Prediction of chromatographic relative retention time of polychlorinated biphenyls from the molecular electronegativity distance vector. Liu SS, Liu Y, Yin DQ, Wang XD, Wang LS. J Sep Sci; 2006 Feb 15; 29(2):296-301. PubMed ID: 16524106 [Abstract] [Full Text] [Related]
19. 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 19; 593(2):140-51. PubMed ID: 17543600 [Abstract] [Full Text] [Related]
20. An accurate QSRR model for the prediction of the GCxGC-TOFMS retention time of polychlorinated biphenyl (PCB) congeners. Ren Y, Liu H, Yao X, Liu M. Anal Bioanal Chem; 2007 May 19; 388(1):165-72. PubMed ID: 17342539 [Abstract] [Full Text] [Related] Page: [Next] [New Search]