While the printed circuit board (PCB) has been widely considered as the building block of integrated electronics, the world is switching to pursue new ways of merging integrated electronic circuits with textiles to create flexible and wearable devices. Herein, as an alternative for PCB, we described a non-printed integrated-circuit textile (NIT) for biomedical and theranostic application via a weaving method. All the devices are built as fibers or interlaced nodes and woven into a deformable textile integrated circuit. Built on an electrochemical gating principle, the fiber-woven-type transistors exhibit superior bending or stretching robustness, and were woven as a textile logical computing module to distinguish different emergencies. A fiber-type sweat sensor was woven with strain and light sensors fibers for simultaneously monitoring body health and the environment. With a photo-rechargeable energy textile based on a detailed power consumption analysis, the woven circuit textile is completely self-powered and capable of both wireless biomedical monitoring and early warning. The NIT could be used as a 24/7 private AI “nurse” for routine healthcare, diabetes monitoring, or emergencies such as hypoglycemia, metabolic alkalosis, and even COVID-19 patient care, a potential future on-body AI hardware and possibly a forerunner to fabric-like computers.

Nanoplastics are persistent pollutants that can cause severe toxicity to mammals. To date, no technology could simultaneously capture nanoplastic chemical and morphological information while conducting quantitative detection. Surface-enhanced Raman spectroscopy (SERS) has shown outstanding performance in trace pollutant detection in addition to providing morphological information. Despite these capabilities, physical changes originating from distribution discrepancies of nanoplastics coming into contact with a SERS substrate yield poor reliability. Herein, by exploiting the coffee ring effect, we develop a novel nanowell-enhanced Raman spectroscopy (NWERS) substrate composed of self-assembled SiO₂ sputtered with silver films (SiO₂ PC@Ag). Under the coffee ring effect, numerous robust nanowells that can trap nanoplastics are formed, providing a uniform testing environment for nanoplastics. Surprisingly, single polystyrene nanoplastic particles down to 200 nm can be directly visualized on the NWERS substrates and a LOD of 5 ppm was achieved in bottled water, tap water, and river water. The newly developed NWERS methodology opens a way for ultra-highly consistent SERS substrate engineering and has great potential in nanoplastic detection.