Electrophoretic Migration of Organophosphorus Pesticides as a Function of Separation Potential in Micellar Electrokinetic Chromatography: A Basis of Predicting the Retention Factors
DOI:
https://doi.org/10.11113/jt.v41.699Abstract
Dalam kromatografi elektrokinetik misel, faktor penahanan (k´) biasanya dikira menggunakan mobiliti misel penanda hidrofobik yang tertahan sepenuhnya dan penanda ini tidak banyak didapati untuk kegunaan universal. Satu pendekatan alternatif dicadangkan di sini untuk meramalkan nilai k´ berdasarkan fungsi hubungan antara masa penahanan zat terlarut dan keupayaan pemisahan menggunakan pestisid organofosforus sebagai sebatian rujukan hidrofobik. Penggunaan model linear yang ringkas ini dinilai untuk satu set pestisid organofosforus hidrofilik lain. Kata kunci: Kromatografi elektrokinetik misel (MEKC), OPPs hidrofobik, OPPs hidrofilik Retention factors (k´) in Micellar Electrokinetic Chromatography (MEKC) are very often calculated against the mobility of fully retained hydrophobic micelle markers, which are not abundant for universal use. An alternative approach was proposed to predict the k´ values on the basis of a functional relationship between the solutes retention times and separation potentials using organophosphorus pesticides (OPPs) as reference hydrophobic compounds. The use of the proposed simple linear model was evaluated for another set of hydrophilic OPPs and its practicality was defined. Key words: Micellar Electrokinetic Chromatography (MEKC), hydrophobic OPPs, hydrophilic OPPsDownloads
Published
2012-02-25
Issue
Section
Science and Engineering
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
How to Cite
Electrophoretic Migration of Organophosphorus Pesticides as a Function of Separation Potential in Micellar Electrokinetic Chromatography: A Basis of Predicting the Retention Factors. (2012). Jurnal Teknologi (Sciences & Engineering), 41(1), 1–10. https://doi.org/10.11113/jt.v41.699