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Computational Analysis on Cannabis (Drugs) Derivative Compounds: Molecular Geometry, UV-Vis Spectra Modelling and IR Spectra Modelling
Chairil Anjasmara Robo Putra (a*) and Muhammad Ikhlas Abdjan (b)

a) Post Graduate School, Airlangga University
Jl. Dharmawangsa 30, Surabaya 60286, Indonesia
* chairil.anjasmara.robo-2018[at]pasca.unair.ac.id
b) Faculty of Science and Technology, Airlangga University
Jl. Mulyorejo, Surabaya 60115, Indonesia


Abstract

The optimization of molecular geometry, UV-Vis spectra modelling and IR spectra modelling on cannabis (C1-C8) derivatives had been done computationally by using Gaussian applications. The geometry optimization of cannabis compound derivative molecules was carried out by using the semi-empirical PM3 method and the data parameters were measured in the form of total energy, molecular length, charge distribution and dipole moments. Each derivative of cannabis compounds showed results of optimal geometry with stable energy. Modeling of UV-Vis spectra of cannabis derivative compounds was carried out using the semi-empirical PM3 method with the TD-SCF approach. The adsorption in the ultraviolet region with wavelengths 249.30 nm-277.34 nm and oscillator strengths > 0.1 had shown in the result. The largest gap energy price, C2 compound of 0.33870 eV with electron excitation at MO 63→64 was showed in computational simulation. The determination of thermal energy is simulated on the ideal gas state with the highest thermal energy prices found in C1 compounds of 320.664 kcal/mol. IR spectra modeling simulation had shown a good enough suitability between simulated frequency calculated (cm-1) and the literature frequency (cm-1).

Keywords: Cannabis derivatives, molecular geometry, UV-Vis spectra, IR spectra

Topic: Law, Police and Forensic

Link: https://ifory.id/abstract/UXq8VKPCJthg

Conference: International Conference Postgraduate School Universitas Airlangga (ICPS 2019)

Plain Format | Corresponding Author (Chairil Anjasmara Robo Putra)

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