Optical diagnosis of malaria infection in human plasma using Raman spectroscopy

Muhammad Bilal; Muhammad Saleem; Samina Tufail Amanat; Huma Abdul Shakoor; Rashad Rashid; Arshad Mahmood; Mushtaq Ahmed

doi:10.1117/1.JBO.20.1.017002

14 January 2015 Optical diagnosis of malaria infection in human plasma using Raman spectroscopy

Muhammad Bilal, Muhammad Saleem, Samina Tufail Amanat, Huma Abdul Shakoor, Rashad Rashid, Arshad Mahmood, Mushtaq Ahmed

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Journal of Biomedical Optics, Vol. 20, Issue 1, 017002 (January 2015). https://doi.org/10.1117/1.JBO.20.1.017002

Abstract

We present the prediction of malaria infection in human plasma using Raman spectroscopy. Raman spectra of malaria-infected samples are compared with those of healthy and dengue virus infected ones for disease recognition. Raman spectra were acquired using a laser at 532 nm as an excitation source and 10 distinct spectral signatures that statistically differentiated malaria from healthy and dengue-infected cases were found. A multivariate regression model has been developed that utilized Raman spectra of 20 malaria-infected, 10 non-malarial with fever, 10 healthy, and 6 dengue-infected samples to optically predict the malaria infection. The model yields the correlation coefficient r²value of 0.981 between the predicted values and clinically known results of trainee samples, and the root mean square error in cross validation was found to be 0.09; both these parameters validated the model. The model was further blindly tested for 30 unknown suspected samples and found to be 86% accurate compared with the clinical results, with the inaccuracy due to three samples which were predicted in the gray region. Standard deviation and root mean square error in prediction for unknown samples were found to be 0.150 and 0.149, which are accepted for the clinical validation of the model.

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Muhammad Bilal, Muhammad Saleem, Samina Tufail Amanat, Huma Abdul Shakoor, Rashad Rashid, Arshad Mahmood, and Mushtaq Ahmed "Optical diagnosis of malaria infection in human plasma using Raman spectroscopy," Journal of Biomedical Optics 20(1), 017002 (14 January 2015). https://doi.org/10.1117/1.JBO.20.1.017002

Published: 14 January 2015

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