Optical diagnosis of malaria infection in human plasma using Raman spectroscopy

摘要: We present the prediction of malaria infection in human plasma using Raman spectroscopy. spectra malaria-infected samples are compared with those healthy and dengue virus infected ones for disease recognition. were acquired a laser at 532 nm as an excitation source 10 distinct spectral signatures that statistically differentiated from dengue-infected cases found. A multivariate regression model has been developed utilized 20 malaria-infected, non-malarial fever, healthy, 6 to optically predict infection. The yields correlation coefficient r(2) value 0.981 between predicted values clinically known results trainee samples, root mean square error cross validation was found be 0.09; both these parameters validated model. further blindly tested 30 unknown suspected 86% accurate clinical results, inaccuracy due three which gray region. Standard deviation 0.150 0.149, accepted