4.7 Article

Aptamer-based electrochemical biosensor for highly sensitive and selective malaria detection with adjustable dynamic response range and reusability

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 255, Issue -, Pages 235-243

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2017.07.117

Keywords

Malaria; Aptamer-based biosensor; Electrochemical impedance spectroscopy; Plasmodium falciparum lactate; dehydrogenase; Adjustable dynamic response; Regeneration

Funding

  1. Mexican National Council for Science and Technology
  2. German Academic Exchange Service [448904]
  3. Alexander von Humboldt Foundation
  4. Shanghai Institute of Materials Genome
  5. Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning [TP2016023]

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Malaria infection remains a significant risk for much of the population of tropical and subtropical areas, particularly in developing countries. Therefore, it is of high importance to develop sensitive, accurate and inexpensive malaria diagnosis tests. Here, we present a novel aptamer-based electrochemical biosensor (aptasensor) for malaria detection by impedance spectroscopy, through the specific recognition between a highly discriminatory DNA aptamer and its target Plasmodium falciparum lactate dehydrogenase (PfLDH). Interestingly, due to the isoelectric point (pI) of PfLDH, the aptasensor response showed an adjustable detection range based on the different protein net-charge at variable pH environments. The specific aptamer recognition allows sensitive protein detection with an expanded detection range and a low detection limit, as well as a high specificity for PfLDH compared to analogous proteins. The specific feasibility of the aptasensor is further demonstrated by detection of the target PfLDH in human serum. Furthermore, the aptasensor can be easily regenerated and thus applied for multiple usages. The robustness, sensitivity, and reusability of the presented aptasensor make it a promising candidate for point-of-care diagnostic systems. (C) 2017 Elsevier B.V. All rights reserved.

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