Software Learning Tool to Calculate Isotope Pattern for Chemistry Area of Study

Kamalrudin, Massila and Soong, Hoong Cheng and Abdul-Aziz, Azlianor and Sulong, Muhammad Suhaizan (2008) Software Learning Tool to Calculate Isotope Pattern for Chemistry Area of Study. In: WSEAS International Conference on Applied Computing Conference (ACC), 27-30 May 2008, Istanbul, Turkey.

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Abstract

This article describes the anticipated software learning tool to calculate the isotope pattern for educational purposes. Despite the availability of the mass spectrometer to classify the existence of the isotopes from the particular elements, the projected software is indeed practical, beneficial and constructive for the academic learners as well for the intellectual researchers for rapidly defining the numbers of the possibility isotope patterns obtainable from a substance(chemical compound) for example methane (CH2). Hence, with the mathematical application (Cartesian Products) and the fundamental knowledge of chemistry that facilitate the calculations are feasible to obtain the isotope patterns without the aid of the mass spectrometer. For instance, the intended calculator called as Theoretical Isotope Generator (TIG) is fairly to be a calculation engine as well that is proficient to retrieve the information of the mass (atomic/molecular weight) from the substance specified based from the isotope patterns available. In conjunction of the patterns attained, the current mass spectrometer defines the acknowledged atomic isotopes of each identified elements which will be predefined for the software learning tools in order to regain the calculation for the molecular isotope patterns.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Information and Communication Technology > Department of Software Engineeering
Depositing User:	Hj. Muhammad Suhaizan Sulong
Date Deposited:	23 Mar 2012 14:43
Last Modified:	28 May 2015 02:25
URI:	http://eprints.utem.edu.my/id/eprint/1871
Statistic Details:	View Download Statistic

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