A memristor-based intelligent system for embryonic metabolic monitoring and diagnostic assessment

• It has been proposed as a memristor for analyzing embryos of different grades. • It was found that the memristor achieves real-time monitoring of embryos. • The working mechanism of this device is the redistribution of surface charges. • This work can improve the accuracy of embryo selection and pregnancy rate. It is well known that the assisted reproduction has become the only means for couples with reproductive defects to have a child. However, the optimal embryo transfer in existing assisted reproductive technologies mainly relies on morphological evaluation, and there is currently a lack of precise detection techniques for selecting grade embryos. To address this blank, an innovative embryo detection method based on a memristor with memristive-sensing effect was firstly developed by analyzing the culture medium from different grade embryos, achieving the quantitative and real-time monitoring based on the metabolic and ROS activity. Specifically, it is found that the device can operate through the redistribution of interfacial surface charges induced by OH – /H + ions adsorption, exhibiting a distance resistance state transition (SET voltage: -1.7 V to +1.4 V at room temperature). Exceptionally low signal fluctuation was also demonstrated by the device in embryo culture medium testing, where the coefficient of variation remained below 20%. Therefore, by integrating innovative memristive-sensing technology, it is aimed to establish an objective, data-driven alternative to conventional morphological assessment, thereby significantly improving the embryos selection accuracy and clinical pregnancy rate.