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.

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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
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article

Selective detection of 17β-estradiol in water using an upconversion luminescence–based Förster resonance energy transfer aptasensor

Hongli Wen, Abdul Hakeem, Mutamed Ayyash, Yaser E. Greish et al.
Microchemical Journal
Advanced biosensing and bioanalysis techniques
article

Selective detection of 17β-estradiol in water using an upconversion luminescence–based Förster resonance energy transfer aptasensor

Hongli Wen, Abdul Hakeem, Mutamed Ayyash, Yaser E. Greish, Abdur Raheem Aleem, Sili Huang, Saleh T. Mahmoud
article en

Abstract

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.

Microchemical JournalVol. 219
Guangdong University of Technology (CN), United Arab Emirates University (AE)
Openalex Percentile: Top 70%
Advanced biosensing and bioanalysis techniques
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Selective detection of 17β-estradiol in water using an upconversion luminescence–based Förster resonance energy transfer aptasensor — Hongli Wen, Abdul Hakeem, et al. · Microchemical Journal (2025) | TGRS Research Map | TGRS