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Novel Approach Achieves Significant Improvements in Bioelectronic Sensors

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Groundbreaking research at Rice University promises to significantly enhance bioelectronic sensing capabilities. An interdisciplinary group of scientists has introduced a novel methodology that utilizes organic electrochemical transistors (OECTs) to markedly increase the sensitivity of enzymatic and microbial fuel cells. The findings are published in the journal Device.

This innovative technique amplifies electrical signals by a factor of 1,000 to 7,000, substantially improving the signal-to-noise ratio. This leap in technology could pave the way for highly sensitive and low-energy biosensors, advancing monitoring practices in health and environmental sectors.

“Our work shows a straightforward yet impactful technique to amplify weak signals using OECTs, addressing previous integration challenges between fuel cells and electrochemical sensors,” stated Rafael Verduzco, a professor in chemical and biomolecular engineering. “This approach enables the development of versatile biosensors suitable for various applications ranging from healthcare to environmental assessments and even wearable devices.”

Conventional biosensors often rely on direct interaction with target biomolecules, which can lead to limitations in varying electrolyte conditions. This study addresses that issue by electronically linking fuel cells with OECTs without the necessity for direct biomolecular integration.

“One of the significant obstacles in the field has been creating systems that perform reliably across different chemical environments,” explained Caroline Ajo-Franklin, director of the Rice Synthetic Biology Institute. “By keeping the OECT and fuel cell separate, we preserved optimal conditions for each, achieving effective signal amplification.”

Operating in aqueous settings, OECTs are thin-film transistors recognized for their high sensitivity and ability to function at low voltages. The researchers combined OECTs with both enzymatic and microbial biofuel cells within two specific configurations: one using a cathode-gate layout and the other employing an anode-gate design. The first configuration proved to be the most effective, especially when a certain polymer was utilized as the channel material.

Amplification achieved with OECTs significantly outperforms traditional electrochemical amplification methods, which typically enhance signals only by factors of 10 to 100. The research revealed that while both configurations resulted in considerable signal amplification, the anode-gate design faced challenges at higher currents, risking irreversible damage.

In addition to increasing signal strength, OECTs were found to diminish background noise, resulting in more accurate measurements. This precision is crucial, as traditional sensors often struggle with weak signals and interference, but results from OECTs yielded clearer data.

“We noted that minor electrochemical shifts in the fuel cells could be converted into large, easily detectable signals through the OECT,” remarked Ravindra Saxena, a graduate student involved in the research. “This enhancement allows for the detection of biomolecules and contaminants at unprecedented sensitivity levels.”

The practical applications of this technology are extensive. The team successfully created a miniaturized version of the system, demonstrating its scalability, which opens possibilities for portable biosensing devices.

Among its most promising uses is the detection of arsenite, a crucial requirement for water safety. The researchers genetically modified E. coli to possess an arsenite-responsive pathway, enabling detection at very low concentrations of 0.1 micromoles per liter, generating a detectable response from the OECT.

Additionally, the potential for this technology extends to wearable health monitoring devices, which require efficient and highly sensitive biosensors. For instance, the capacity to detect lactate in sweat—a key indicator of muscle fatigue—was successfully showcased using microbial fuel cells.

“Real-time metabolic monitoring could greatly benefit athletes and medical patients, as well as military personnel, without the need for complex and high-power electronics,” noted Xu Zhang, a postdoctoral fellow in the biosciences department.

The researchers identified two operational modes that affect the performance of OECTs and fuel cells. In the power-mismatched mode, where the fuel cell generates less power than required, the system exhibits higher sensitivity but operates near short-circuit conditions. Conversely, in the power-matched mode, with the fuel cell producing enough power, the readings become more stable and accurate.

“By optimizing these dynamics, we can design tailored sensors for a variety of applications, from sensitive medical diagnostics to reliable environmental monitoring systems,” Verduzco concluded. “We believe this method represents a fundamental shift in how we approach bioelectronic sensing, offering a scalable and effective solution.”

This research received support from the Army Research Office, the Cancer Prevention and Research Institute of Texas, and the National Science Foundation.

Source
www.sciencedaily.com

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