Fig. 5: Automated and inverse design of biosensors.
From: AI in SERS sensing moving from discriminative to generative

A A catalytic sensing mechanism for SERS biosensors was first optimized through rational design. The resulting parameters were used to develop an algorithm to automate sensor design and applied to specific sensing applications. Panel (A) adapted with permission from ref. 51 copyright 2023 American Chemical Society. B Sensors based on SWCNT coated with DNA for the detection of serotonin were optimized using ML and inverse design. Libraries of DNA sequences with known responses to serotonin were used to build a model and predict highly responsive sequences. Panel B adapted with permission from ref. 59 copyright 2024 American Chemical Society.