Cited by 202Advanced Fluorescence Microscopy TechniquesAnalytical Chemistry and SensorsAdvanced biosensing and bioanalysis techniques

FRET Based Biosensor: Principle Applications Recent Advances and Challenges

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Verma, Awadhesh Kumar, Noumani, Ashab, Yadav, Amit K., Solanki, Pratima R.·2023·Diagnostics

Abstract

Förster resonance energy transfer (FRET)-based biosensors are being fabricated for specific detection of biomolecules or changes in the microenvironment. FRET is a non-radiative transfer of energy from an excited donor fluorophore molecule to a nearby acceptor fluorophore molecule. In a FRET-based biosensor, the donor and acceptor molecules are typically fluorescent proteins or fluorescent nanomaterials such as quantum dots (QDs) or small molecules that are engineered to be in close proximity to each other. When the biomolecule of interest is present, it can cause a change in the distance between the donor and acceptor, leading to a change in the efficiency of FRET and a corresponding change in the fluorescence intensity of the acceptor. This change in fluorescence can be used to detect and quantify the biomolecule of interest. FRET-based biosensors have a wide range of applications, including in the fields of biochemistry, cell biology, and drug discovery. This review article provides a substantial approach on the FRET-based biosensor, principle, applications such as point-of-need diagnosis, wearable, single molecular FRET (smFRET), hard water, ions, pH, tissue-based sensors, immunosensors, and aptasensor. Recent advances such as artificial intelligence (AI) and Internet of Things (IoT) are used for this type of sensor and challenges.

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  • By using FRET probes, microfluidics or lab-on-a-chip can conduct assays in a short time, sending allele calls to central hubs or cloud-based dashboards.

    “By using fluorescence resonance energy transfer (FRET) probes, microfluids or lab-on-a-chip can conduct assays in a short time, sending allele calls to central hubs or cloud-based dashboards [155].”

    From Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review (2026) · cites this paper as [155]

    Section 3.2 describes rapid point-of-need assays using microfluidic FRET biosensors. Section 4.2 says FRET biosensors could transmit data to a central hub or cloud-based platform, but it presents this as an IoT possibility, not as a demonstrated feature of the microfluidic assays. Neither passage says those assays produce or transmit allele calls. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

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Cited by

Authors
Verma, A. K., Noumani, A., Yadav, A. K., & Solanki, P. R.
Affiliations
Jawaharlal Nehru University (IN)
Corresponding author
Solanki, Pratima R.
Venue
Diagnostics
Publisher
MDPI AG
Published
2023-04-08
Volume
13
Issue
8
Pages
1375
ISSN
2075-4418 (ISSN-L)
OpenAlex
W4362733064
Cited by
202
References
2
Citations by year
2026: 68 · 2025: 90 · 2024: 34 · 2023: 10
FWCI
6.59
Type
journal article
Language
en
Open access
Locations
  • Diagnostics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Biomedical Device and Technology Development (BDTD) (TDP/BDTD/49/2021, 34/13/2019-TF/Nano/BMS)
  • General, Department of Science and Technology (DST) (TDP/BDTD/49/2021, 34/13/2019-TF/Nano/BMS)
  • Indian Council of Medical Research (ICMR) (TDP/BDTD/49/2021, 34/13/2019-TF/Nano/BMS)
  • Govt. of India (TDP/BDTD/49/2021, 34/13/2019-TF/Nano/BMS)
  • Department of Biotechnology-BIG-BIRAC (TDP/BDTD/49/2021, 34/13/2019-TF/Nano/BMS)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
  • Physical Sciences › Chemical Engineering › Bioengineering › Analytical Chemistry and Sensors
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
Keywords
fluorescence resonance energy transfer, FRET biosensor, donor-acceptor fluorophores, quantum dots, fluorescent proteins, point-of-care diagnosis, wearable sensors, single-molecule FRET, ion detection, pH sensing, immunosensor, aptasensor, artificial intelligence, Internet of Things

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