At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Dosnon, L.; Rduch, T.; Azer, S. S.; Herrmann, I. K.
Show abstract
Blood-based biomarkers are central to diagnostics, yet current approaches depend on invasive sampling and centralized laboratory infrastructure. At the same time, womens reproductive health remains severely under-monitored: most clinically relevant biomarkers are rarely measured outside fertility clinics, leaving millions without accessible, continuous insight into their reproductive lifespan. Anti-Mullerian hormone (AMH), a key indicator of ovarian reserve and overall reproductive function, still requires venous blood collection and specialized analysis, creating a major barrier to early detection, routine monitoring, and population-level screening. Here, we present a lateral flow assay (LFA) enabling direct AMH detection in unprocessed menstrual blood. The assay uses covalently conjugated 150 nm gold nanoshells to achieve sensitive colorimetric detection within the clinically relevant 0-10 ng/mL range. Results can be visually interpreted by naked-eye detection or quantified via a smartphone-based machine-learning algorithm for semi-quantitative assessment. The LFA performance correlates strongly with clinical chemistry lab-based analyses and can be seamlessly integrated into point-of-care formats, including wearable menstruation pads as well as simple dipstick tests. This technology provides a non-invasive, affordable, and robust solution for decentralized, regular monitoring of ovarian health.
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