E
Ehsan Zolfonoun
Researcher at K.N.Toosi University of Technology
Publications - 33
Citations - 383
Ehsan Zolfonoun is an academic researcher from K.N.Toosi University of Technology. The author has contributed to research in topics: Inductively coupled plasma & Inductively coupled plasma atomic emission spectroscopy. The author has an hindex of 12, co-authored 28 publications receiving 337 citations.
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Simultaneous spectrophotometric determination of trace amounts of uranium, thorium, and zirconium using the partial least squares method after their preconcentration by α-benzoin oxime modified Amberlite XAD-2000 resin
Jahan B. Ghasemi,Ehsan Zolfonoun +1 more
TL;DR: The practical applicability of the developed sorbent was examined using synthetic seawater, natural waters and ceramic samples, and the precision, evaluated as the relative standard deviation obtained by analyzing a series of 10 replicates, was below 4% for all elements.
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The Influence of Growing Region on Fatty Acids and Sterol Composition of Iranian Olive Oils by Unsupervised Clustering Methods
TL;DR: Clustering techniques such as principal component analysis and hierarchical cluster analysis showed the effect of growing regions on the distribution of the olive oil samples in the high dimensional space created by fatty acid and sterol compositions.
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Solid-phase extraction and determination of ultra trace amounts of lead, mercury and cadmium in water samples using octadecyl silica membrane disks modified with 5,5′-dithiobis(2-nitrobenzoic acid) and atomic absorption spectrometry
TL;DR: In this paper, a simple and fast method for preconcentration and determination of ultra trace amounts of lead(II), mercury(II) and cadmium (II) in water samples is presented.
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Simultaneous spectrophotometric determination of trace amount of polycyclic aromatic hydrocarbons in water samples after magnetic solid-phase extraction by using projection pursuit regression
Jahan B. Ghasemi,Ehsan Zolfonoun +1 more
TL;DR: The obtained results revealed that using projection pursuit regression as a flexible modeling approach improves the predictive quality of the developed models compared with partial least squares and least squares support vector machine methods.
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Effect of anionic surfactant on transport of copper(II) through liquid membrane containing a new synthesis Schiff base
TL;DR: In this paper, the transport of copper through a chloroform bulk liquid membrane containing a new tetradentates Schiff base; N, N -bis(salicylidene)-naphthylene-1,8-diamine (NBSND) as an excellent synthetic carrier was studied.