Portable glucose meter-based label-free strategy for target DNA detection

• Published in: Sensors and actuators. B, Chemical Vol. 310; pp. 127808 - 5
• Main Authors: Kim, Hyo Yong, Ahn, Jun Ki, Park, Ki Soo, Park, Hyun Gyu
• Format: Journal Article
• Language: English
• Published: Lausanne Elsevier B.V 01.05.2020; Elsevier Science Ltd
• Subjects: Amplification; Biosensor; Deoxyribonucleic acid; DNA; DNA detection; Glucose; Hepatitis B; Hexokinase; Polymerase chain reaction; Portable glucose meter; Pyruvate kinase; Selectivity; Target detection; Viruses; DNA detection; Pyruvate kinase; Biosensor; Hexokinase; Portable glucose meter
• ISSN: 0925-4005; 1873-3077
• DOI: 10.1016/j.snb.2020.127808

•This is the first report to develop a PGM-based label-free strategy for target DNA detection.•This method relies on our new finding that PCR amplification that consumes the dNTP can be linked to the glucose level.•This method does not require any tedious steps that typically make the detection procedure complex, time-consuming, and labor-intensive.•This method could enable the facile on-site prescreening of target DNA and even other biological markers with the ingenious designs. We herein developed a portable glucose meter (PGM)-based method for label-free target DNA detection, which relies on the cascade enzymatic reaction (CER) promoted by hexokinase and pyruvate kinase to link the amount of deoxynucleoside triphosphate (dNTP) with the glucose level. In the absence of target DNA or the presence of non-target DNA, the initial high concentration of dNTP, a phosphate source for hexokinase, is maintained because polymerase chain reaction (PCR) amplification is not executed, which results in the significant reduction of glucose level by the effective CER process. On the other hand, the PCR amplification works in the presence of target DNA by consuming dNTP and thus CER process cannot be effectively executed, leading to the maintenance of initial high glucose level. Finally, the resulting glucose level is simply measured by PGM without any tedious and labor-intensive steps. Utilizing the proposed strategy, we successfully analyzed the target genomic DNA derived from Hepatitis B virus (HBV) down to 102 copies with the high selectivity.