The novel flexible sensor detects ammonia in exhaled breath, achieving 94% accuracy using machine learning, indicating potential for home diagnosis of kidney disease.
Continuous and reliable monitoring of ammonia (NH 3 ) biomarkers in exhaled breath holds critical significance for the diagnosis of kidney diseases. However, existing NH 3 sensors often suffer from interference by ambient water molecules, limiting their applications in monitoring exhaled breath with high humidity. In this work, a water‐vapor‐assisted sensing mechanism is proposed, and a humidity‐enhanced flexible NH 3 sensor capable of detecting NH 3 at concentrations as low as 250 ppb in exhaled breath is developed. By integrating hydrothermally synthesized indium oxide (In 2 O 3 ) nanoparticles with delaminated monolayer MXene (Ti 3 C 2 ) nanosheets, a stable heterojunction structure is constructed, which underpins the sensor's performance. Through a streamlined integration strategy, the MXene/In 2 O 3 composite is combined with cotton fibers to fabricate a flexible and wearable NH 3 sensor. This device demonstrates superior gas‐sensing characteristics under ambient temperature and high‐humidity conditions, yielding a response of 70.64% and a response time of 178 s. Furthermore, the flexible sensor is embedded into a KN95 mask to develop an intelligent breath analysis system. By applying machine learning algorithms to model and classify breath samples, a detection accuracy of 94% in real‐world clinical testing is achieved. These results underscore the sensor's substantial potential for non‐invasive early screening and home‐based diagnosis of kidney diseases.
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Li et al. (2025) studied this question.
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