Selective detection of 17β-estradiol in water using an upconversion luminescence–based Förster resonance energy transfer aptasensor
Consistent exposure to 17β-estradiol (E 2 ) through water and food sources presents considerable health hazards, necessitating the development of sensitive E 2 detection methods. Herein, an E 2 nanosensor based on Förster resonance energy transfer (FRET) was developed by immobilizing amino-SiO₂-modified upconversion nanoparticle (UCNP) core–shell structures functionalized with E 2 -specific aptamers on graphene oxide (GO) nanosheets. The aptamers adsorbed onto GO via π–π stacking, facilitating the FRET-induced upconversion luminescence quenching. Upon E 2 addition, the aptamers detached from GO, restoring the UCL intensity. The as-developed nanosensor exhibited a strong linear response to E 2 concentrations in the range of 10–200 ng/mL and a detection limit of 6.39 ng/mL. Furthermore, the high recovery rates (88–98 %) of the sensor validated its reliability. The fabricated sensor demonstrated excellent potential for the accurate detection of E 2 in aqueous environments. • UCNPs were synthesized to develop an aptasensor for the selective detection of 17β-estradiol (E 2 ) estrogen. • In this aptasensor, UCNPs functioned as efficient energy donors, while graphene oxide (GO) nanosheets served as ideal energy quenchers. • The proposed aptasensor demonstrated high sensitivity, with a limit of detection as low as 6.39 ng/mL. • Successful detection of E 2 estrogen was achieved in lake water samples, showing satisfactory recovery rates.
Authors
- Hongli Wen (ORCID: https://orcid.org/0000-0003-0843-5247)
- Abdul Hakeem
- Mutamed Ayyash (ORCID: https://orcid.org/0000-0002-9312-500X)
- Yaser E. Greish (ORCID: https://orcid.org/0000-0002-7147-6773)
- Abdur Raheem Aleem (ORCID: https://orcid.org/0000-0001-7130-2282)
- Sili Huang (ORCID: https://orcid.org/0000-0002-7697-2127)
- Saleh T. Mahmoud
Institutions
- Guangdong University of Technology (CN)
- United Arab Emirates University (AE)
Publication Details
- Journal
- Microchemical Journal
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1016/j.microc.2025.116103
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00