Authors:

Yashvi Choudhary

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About Paper:

Aminoglycosides are a class of antibiotic that have an effective range such that an excess results in kidney failure in patients while a lower dose causes bacterial resistance. With the advent of MRSA and other multi- drug resistant bacteria, it is becoming increasingly necessary to monitor the administered dosage of such drugs in real-time. Electrochemical aptamer-based sensors offer a new platform for real-time monitoring for such molecules with high selectivity. The sensors are equipped with DNA strands called aptamers that undergo a reversible conformational change induced by binding of the target to the aptamer which modifies the electron transfer rate from the redox tag linked to the aptamer. The electron transfer can be visualized using voltammetry in current versus potential graphs such that as the concentration of target increases, there is a corresponding increase in peak current. The correlation can be used to obtain a calibration curve, a way to determine unknown concentration of the analyte in a sample. In this field, it is common to obtain calibration curves in phosphate buffer. However, the buffer calibrations fail to consider the complexity of biological fluids. Thus, there remains a need to analyze how systematically increasing the complexity of the matrix impacts the aptamer sensor readings. Herein, we used whole blood and human blood serum as matrices to observe how the aptamer reading changes with the changing complexity of the matrix. We show that there is variation in the curves obtained in different matrices and provide a possible method to improve this disparity. Keywords: Aptamers; Improved Calibration; Matrix Complexity; Electrochemistry

Source:

Purdue University / 2024

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Co-authors:

Yashvi Choudhary