Computational Analysis of Thermal Denaturation of Human Hemoglobin by Non Linear Regression of Gushimana Yav Equation Using Origin Software Package

Research Article

Computational Analysis of Thermal Denaturation of Human Hemoglobin by Non Linear Regression of Gushimana Yav Equation Using Origin Software Package

Koto-te-Nyiwa Ngbolua, Pius T. Mpiana, Gushimana Yav

Corresponding Author : Koto-te-Nyiwa Ngbolua,

University of Gbadolite, P.O. Box 111 Gbadolite, Nord-Ubangi Province, Democratic Republic of the Congo

Email ID : jpngbolua@unikin.ac.cd

Received : 2018-01-30 Accepted : 2018-03-05 Published : 2018-03-05

Abstract : Recent findings indicate that the number of newborns with Sickle cell anemia (SCA) will increase on the horizon 2050. Among the concerned countries, Democratic Republic of the Congo will probably still be the country most in need of policies for the prevention and management of SCA. The present fundamental research was carried out with the aim of providing data to help future design and the development of new generation of techniques for the low cost diagnosis of SCA patients from low income countries. The interest in the protein thermal denaturation is due to its potential to easily quantify any change in the hemoglobin stability. The thermal denaturation of hemoglobin in human total blood samples was studied using molecular ultraviolet/visible absorption method. The result expressed as transition temperature (Tt) displayed the best discrimination between AA, AS and SS bloods at pH 7.40 and without ionic strength. Calculated values of Tt according to a non-linear regression analysis using the Gushimana Yav equation (a sigmoid plot) with the help of Microsoft Origin package are 65.2 ± 0.1 °C for AA blood, 61.0 ± 0.1 °C for AS blood and 58.0 ± 0.1 °C for SS blood. By considering Tt as a specific physical parameter, it is thus proposed to design and develop new generation of spectrophotometer for the biological diagnosis of SCA.

Keywords : Sickle Cell Anemia, Hemoglobin S, Thermal Stability, Spectrophotometer, Diagnosis

Citation : Koto-te-Nyiwa Ngbolua et al. (2018). Computational Analysis of Thermal Denaturation of Human Hemoglobin by Non Linear Regression of Gushimana Yav Equation Using Origin Software Package. J. of Advancement in Medical and Life Sciences. V6I3-01. DOI : 10.5281/zenodo.1195578

Copyright : © 2018 Koto-te-Nyiwa Ngbolua. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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