Ebrahimi-Najafabadi H - Search Results

1

A standardized method for the calibration of thermodynamic data for the prediction of gas chromatographic retention times.

McGinitie TM, Ebrahimi-Najafabadi H, Harynuk JJ. McGinitie TM, et al. Among authors: ebrahimi najafabadi h. J Chromatogr A. 2014 Feb 21;1330:69-73. doi: 10.1016/j.chroma.2014.01.019. Epub 2014 Jan 15. J Chromatogr A. 2014. PMID: 24484693

2

Characterization of volatile components of Iranian saffron using factorial-based response surface modeling of ultrasonic extraction combined with gas chromatography-mass spectrometry analysis.

Jalali-Heravi M, Parastar H, Ebrahimi-Najafabadi H. Jalali-Heravi M, et al. J Chromatogr A. 2009 Aug 14;1216(33):6088-97. doi: 10.1016/j.chroma.2009.06.067. Epub 2009 Jun 30. J Chromatogr A. 2009. PMID: 19595355

3

Modeling of retention behaviors of most frequent components of essential oils in polar and non-polar stationary phases.

Jalali-Heravi M, Ebrahimi-Najafabadi H. Jalali-Heravi M, et al. J Sep Sci. 2011 Jul;34(13):1538-46. doi: 10.1002/jssc.201100042. Epub 2011 May 27. J Sep Sci. 2011. PMID: 21626695

4

Rapid determination of thermodynamic parameters from one-dimensional programmed-temperature gas chromatography for use in retention time prediction in comprehensive multidimensional chromatography.

McGinitie TM, Ebrahimi-Najafabadi H, Harynuk JJ. McGinitie TM, et al. Among authors: ebrahimi najafabadi h. J Chromatogr A. 2014 Jan 17;1325:204-12. doi: 10.1016/j.chroma.2013.12.008. Epub 2013 Dec 17. J Chromatogr A. 2014. PMID: 24377740

5

Quantitative structure-retention relationship modeling of gas chromatographic retention times based on thermodynamic data.

Ebrahimi-Najafabadi H, McGinitie TM, Harynuk JJ. Ebrahimi-Najafabadi H, et al. J Chromatogr A. 2014 Sep 5;1358:225-31. doi: 10.1016/j.chroma.2014.06.071. Epub 2014 Jun 30. J Chromatogr A. 2014. PMID: 25035236

6

Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques.

Ebrahimi-Najafabadi H, Leardi R, Oliveri P, Casolino MC, Jalali-Heravi M, Lanteri S. Ebrahimi-Najafabadi H, et al. Talanta. 2012 Sep 15;99:175-9. doi: 10.1016/j.talanta.2012.05.036. Epub 2012 May 25. Talanta. 2012. PMID: 22967538

7

Self-modeling curve resolution techniques applied to comparative analysis of volatile components of Iranian saffron from different regions.

Jalali-Heravi M, Parastar H, Ebrahimi-Najafabadi H. Jalali-Heravi M, et al. Anal Chim Acta. 2010 Mar 10;662(2):143-54. doi: 10.1016/j.aca.2010.01.013. Epub 2010 Jan 18. Anal Chim Acta. 2010. PMID: 20171313

8

2D-QSAR study of some 2,5-diaminobenzophenone farnesyltransferase inhibitors by different chemometric methods.

Ghanbarzadeh S, Ghasemi S, Shayanfar A, Ebrahimi-Najafabadi H. Ghanbarzadeh S, et al. Among authors: ebrahimi najafabadi h. EXCLI J. 2015 Mar 30;14:484-95. doi: 10.17179/excli2015-177. eCollection 2015. EXCLI J. 2015. PMID: 26600747 Free PMC article.

9

Multivariate curve resolution-particle swarm optimization: a high-throughput approach to exploit pure information from multi-component hyphenated chromatographic signals.

Parastar H, Ebrahimi-Najafabadi H, Jalali-Heravi M. Parastar H, et al. Among authors: ebrahimi najafabadi h. Anal Chim Acta. 2013 Apr 15;772:16-25. doi: 10.1016/j.aca.2013.02.042. Epub 2013 Mar 6. Anal Chim Acta. 2013. PMID: 23540243

10

A novel similarity search approach for high-performance thin-layer chromatography (HPTLC) fingerprinting of medicinal plants.

Ebrahimi-Najafabadi H, Kazemeini SS, Pasdaran A, Hamedi A. Ebrahimi-Najafabadi H, et al. Phytochem Anal. 2019 Jul;30(4):405-414. doi: 10.1002/pca.2823. Epub 2019 Feb 19. Phytochem Anal. 2019. PMID: 30779265

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