Ultrasensitive electrochemical genosensors for species-specific diagnosis of malaria

• Published in: Electrochimica acta Vol. 429; p. 140988
• Main Authors: Ansah, Felix, Krampa, Francis, Donkor, Jacob K., Owusu-Appiah, Caleb, Ashitei, Sarah, Kornu, Victor E., Danku, Reinhard K., Chirawurah, Jersley D., Awandare, Gordon A., Aniweh, Yaw, Kanyong, Prosper
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 10.10.2022; Pergamon Press
• Subjects: Deoxyribonucleic acid (DNA); Electrochemical impedance spectroscopy (EIS); Genosensor; Malaria; Plasmodium species; Plasmodium species; Deoxyribonucleic acid (DNA); Genosensor; Malaria; Electrochemical impedance spectroscopy (EIS)
• ISSN: 0013-4686; 1873-3859; 0013-4686
• DOI: 10.1016/j.electacta.2022.140988

•Electrochemical genosensors were developed for species-specific diagnosis of malaria.•The genosensors are the first biosensors for detecting P. malariae and P. ovale.•The limits of detection of the malaria genosensors are in the attomolar range.•The genosensors can directly detect parasite nucleic acid without pre-amplification.•The performance of the genosensors is comparable to real-time PCR. The absence of reliable species-specific diagnostic tools for malaria at point-of-care (POC) remains a major setback towards effective disease management. This is partly due to the limited sensitivity and specificity of the current malaria POC diagnostic kits especially in cases of low-density parasitaemia and mixed species infections. In this study, we describe the first label-free DNA-based genosensors based on electrochemical impedance spectroscopy (EIS) for species-specific detection of P. falciparum, P. malariae and P. ovale. The limits of detection (LOD) for the three species-specific genosensors were down in attomolar concentrations ranging from 18.7 aM to 43.6 aM, which is below the detection limits of previously reported malaria genosensors. More importantly, the diagnostic performance of the three genosensors were compared to quantitative real-time polymerase chain reaction (qPCR) assays using purified genomic DNA and the paired whole blood lysates from clinical samples. Remarkably, all the qPCR-positive purified genomic DNA samples were correctly identified by the genosensors indicating 100% sensitivity for each of the three malaria species. The specificities of the three genosensors ranged from 66.7% to 100.0% with a Therapeutic Turnaround Time (TTAT) within 30 min, which is comparable to the TTAT of current POC diagnostic tools for malaria. This work represents a significant step towards the development of accurate and rapid species-specific nucleic acid-based toolkits for the diagnosis of malaria at the POC.