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

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.