A wearable aptamer nanobiosensor for non-invasive female hormone monitoring
Ye et al.
The finding, in our words
The wearable sensor measured oestradiol in sweat and showed a high correlation with blood levels, indicating that sweat can reflect circulating hormone changes across the menstrual cycle.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Menstrual blood offers a noninvasive, patient-centric matrix for detecting endometriosis, cervical cancer, and hormonal disorders through self-collected samples. Wearable in-pad biosensors enabling real-time monitoring and long-term tracking could transform fertility evaluation and early disease detection, though standardisation and large-scale validation remain critical gaps.
The authors developed a flexible aptamer-based field-effect transistor biosensor that detects nanomolar cortisol in sweat. Validated in humans during a Trier Social Stress Test, it showed correlation with salivary cortisol and enabled continuous stress monitoring via a smartwatch platform.
Wrist-worn temperature sensors detected sustained three-day temperature shifts in 82% of 437 menstrual cycles, with the rise occurring on or after ovulation in 86% of cases. Unlike basal body temperature, wrist skin temperature was unaffected by lifestyle factors such as alcohol or sexual activity, indicating potential for reliable, patient-centric fertility tracking.
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.
This narrative review finds that saliva is best suited to repeated neuroendocrine and metabolic measurements during exercise, sweat is most mature for electrolyte and sweat-rate monitoring with wearable compatibility, and exhaled breath offers access to volatile metabolism but remains instrumentally demanding. Each matrix requires matching to a defined clinical or exercise question with matrix-specific validation before translational use.