Work

Design and fabrication of smartphone based single paper lateral flow assay for early detection of PCOS biomarker

Year: 2025
Type: article
Abstract: Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder with significant diagnostic challenges, especially in early stages. Current diagnostic methods are often complex, time-consuming, and dependent on laboratory-based infrastructure. This study presents the design and fabrication of a smartphone-assisted paper-based lateral flow assay (LFA) for the early detection of PCOS via the quantification of sex hormone-binding globulin (SHBG), a promising metabolic biomarker. Fluorescent nitrogen-doped carbon dots (CDs) were synthesized using a microwave-assisted method and conjugated with anti-SHBG antibodies via EDC/NHS chemistry. The LFA strips were constructed using Whatman filter paper, and hydrophobic barriers were drawn using permanent marker ink. A portable device equipped with a 365 nm UV LED and a smartphone camera enabled fluorescence detection. Recombinant SHBG antigen samples in phosphate-buffered saline (PBS) were tested across a concentration range of 80–4000 ng/mL. The system exhibited a strong linear response (R 2 = 0.9677) between SHBG concentration and fluorescence intensity, with a calculated limit of detection (LOD) and limit of quantification (LOQ) of 2.68 ng/mL and 19.93 ng/mL, respectively. The analytical range of 80–4000 ng/mL corresponds to 0.8–42.1 nmol/L, covers the clinical diagnostic threshold of SHBG (<36 nmol/L). These results demonstrate the feasibility of a low-cost, point-of-care diagnostic tool for early PCOS screening. Further validation with clinical samples is necessary for real-world deployment. • Developed a smartphone-assisted paper-based LFA for early detection of PCOS biomarker SHBG. • Achieved sensitive fluorescence-based detection with an LOQ of 19.15 ng/mL and strong linearity (R 2 = 0.9679). • Demonstrated a low-cost, portable diagnostic platform suitable for point-of-care PCOS screening.
Authors: Aniket Nandi, Yash Kumar Gaur, Divyanshi Thakur, Ekta Daweshar, Kalicharan Sharma
Language: English
Open Access status: gold
Estimated APC paid: $2,490
OpenAlex ID: W4413136286
FWCI: 0.964
Cites: 22
Cited by: 4
Related to: 10