Litcius/Paper detail

Blood-based biomemristor for hyperglycemia and hyperlipidemia monitoring

Kaikai Gao, Bai Sun, Guangdong Zhou, Zelin Cao, Lin-Biao Xiang, Jiawei Yu, Ruixin Wang, Yingmin Yao, Fulai Lin, Zhuoqun Li, Fenggang Ren, Yi Lv, Qiang Lü

2024Materials Today Bio12 citationsDOIOpen Access PDF

Abstract

Thanks to its structural characteristics and signal patterns similar to those of human brain synapses, memristors are widely believed to be applicable for neuromorphic computing. However, to our knowledge, memristors have not been effectively applied in the biomedical field, especially in disease diagnosis and health monitoring. In this work, a blood-based biomemristor was prepared for in vitro detection of hyperglycemia and hyperlipidemia. It was found that the device exhibits excellent resistance switching (RS) behavior at lower voltage biases. Through mechanism analysis, it has been confirmed that the RS behavior is driven by Ohmic conduction and ion rearrangement. Furthermore, the hyperglycemia and hyperlipidemia detection devices were constructed for the first time based on memristor logic circuits, and circuit simulations were conducted. These results confirm the feasibility of blood-based biomemristors in detecting hyperglycemia and hyperlipidemia, providing new prospects for the important application of memristors in the biomedical field.

Topics & Concepts

HyperlipidemiaMemristorNeuromorphic engineeringOhmic contactVoltageElectronic engineeringInternal medicineMedicineComputer scienceMaterials scienceCardiologyNanotechnologyElectrical engineeringArtificial neural networkArtificial intelligenceEngineeringDiabetes mellitusEndocrinologyLayer (electronics)Advanced Memory and Neural ComputingNeuroscience and Neural EngineeringPhotoreceptor and optogenetics research