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2D Quantitative structure-property relationship study of mycotoxins by multiple linear regression and support vector machine.
Khosrokhavar R, Ghasemi JB, Shiri F. Khosrokhavar R, et al. Int J Mol Sci. 2010 Aug 31;11(9):3052-68. doi: 10.3390/ijms11093052. Int J Mol Sci. 2010. PMID: 20957079 Free PMC article.
In the present work, support vector machines (SVMs) and multiple linear regression (MLR) techniques were used for quantitative structure-property relationship (QSPR) studies of retention time (t(R)) in standardized liquid chromatography-UV-mass spectrometry of 67 mycotoxin …
In the present work, support vector machines (SVMs) and multiple linear regression (MLR) techniques were used for quantitative structure-pro …
Monitoring of some pesticides residue in consumed tea in Tehran market.
Amirahmadi M, Shoeibi S, Abdollahi M, Rastegar H, Khosrokhavar R, Hamedani MP. Amirahmadi M, et al. Iranian J Environ Health Sci Eng. 2013 Jan 12;10(1):9. doi: 10.1186/1735-2746-10-9. Iranian J Environ Health Sci Eng. 2013. PMID: 23369650 Free PMC article.
The present study is the first attempt for monitoring of 25 pesticide residues from different chemical groups in tea samples obtained from local markets in Tehran, I.R. Iran during the period 2011. A reliable and accurate method based on spiked calibration curve and QuEChE …
The present study is the first attempt for monitoring of 25 pesticide residues from different chemical groups in tea samples obtained from l …