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Ultraviolet/Visible and Near-Infrared Dual Spectroscopic Method for Detection and Quantification of Low-Level Malaria Parasitemia in Whole Blood.
Adegoke, John A; De Paoli, Amanda; Afara, Isaac O; Kochan, Kamila; Creek, Darren J; Heraud, Philip; Wood, Bayden R.
  • Adegoke JA; Centre for Biospectroscopy, School of Chemistry, Faculty of Science, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.
  • De Paoli A; Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.
  • Afara IO; Department of Applied Physics, University of Eastern Finland, Yliopistonranta, Kuopio 70210, Finland.
  • Kochan K; School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, Brisbane, Queensland 4062, Australia.
  • Creek DJ; Centre for Biospectroscopy, School of Chemistry, Faculty of Science, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.
  • Heraud P; Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.
  • Wood BR; Centre for Biospectroscopy, School of Chemistry, Faculty of Science, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.
Anal Chem ; 93(39): 13302-13310, 2021 10 05.
Article en En | MEDLINE | ID: mdl-34558904
ABSTRACT
The scourge of malaria infection continues to strike hardest against pregnant women and children in Africa and South East Asia. For global elimination, testing methods that are ultrasensitive to low-level ring-staged parasitemia are urgently required. In this study, we used a novel approach for diagnosis of malaria infection by combining both electronic ultraviolet-visible (UV/vis) spectroscopy and near infrared (NIR) spectroscopy to detect and quantify low-level (1-0.000001%) ring-staged malaria-infected whole blood under physiological conditions uisng Multiclass classification using logistic regression, which showed that the best results were achieved using the extended wavelength range, providing an accuracy of 100% for most parasitemia classes. Likewise, partial least-squares regression (PLS-R) analysis showed a higher quantification sensitivity (R2 = 0.898) for the extended spectral region compared to UV/vis and NIR (R2 = 0.806 and 0.556, respectively). For quantifying different-stage blood parasites, the extended wavelength range was able to detect and quantify all thePlasmodium falciparum accurately compared to testing each spectral component separately. These results demonstrate the potential of a combined UV/vis-NIR spectroscopy to accurately diagnose malaria-infected patients without the need for elaborate sample preparation associated with the existing mid-IR approaches.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Parasitemia / Malaria Tipo de estudio: Diagnostic_studies Límite: Female / Humans / Pregnancy Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Parasitemia / Malaria Tipo de estudio: Diagnostic_studies Límite: Female / Humans / Pregnancy Idioma: En Año: 2021 Tipo del documento: Article