American Research Journal of Biomedical Engineering     cover
Open Access

American Research Journal of Biomedical Engineering

ISSN (Online):

DOI: 10.46568/arjbme

Research Article Vol. 3, Issue 1 2025 Open Access

Proposed Non Invasive Detection of Malaria by Spectral Analysis of Light of Varied Wavelengths through the Blood

Adegbenro Sunday Ajania* , Olusoji Amos Ogunbodeb, Godwin Babatunde Egbeyalea, Olaoluwa Peter Oyeroa, Adebayo Segun Adewumib , Oluwatayo Sandra Ajanic, Abdullahi Nasir Galadimaa, Paulina Funmi Yirenkyic

aKwara State University, Department of Physics and Material Sciences, Malete, Ilorin, Nigeria.

b*Ladoke Akintola University of Technology, Department of Pure and Applied Physics, P.M.B 4000 Ogbomoso.

cLadoke Akintola University of Technology Teaching Hospital, Ogbomoso, Nigeria.

Citation: Adegbenro Sunday Ajani, Olusoji Amos Ogunbode, et al., “Proposed Non Invasive Detection of Malaria by Spectral Analysis of Light of Varied Wavelengths through the Blood”, American Research Journal of Biomedical Engineering, Vol 3, no. 1, 2021, pp. 1-5.
Abstract
Malaria is a significant public health problem in many parts of the world. Accurate diagnosis and control currently relies on the invasive detection of parasitemias in the blood samples. This technique is invasive, increases risk of blood-borne disease transmission, and is uncomfortable for the patient. This research summarizes the diagnostic techniques that have been used to detect malaria in blood samples and their limitations. It is important to understand that noninvasive testing of malaria can provide adequate check and control high malaria rate by promoting early detection and treatment from mild to moderate to serve cases and noninvasive detection will never be achieved without good calibration approach. At this point, we are far away from reaching the aim of noninvasive detection of malaria through blood in the body, with many technical problems yet to be resolved. This research provides information that may be useful for future development of highly efficient non-invasive malaria detection methods.