Highly Sensitive Cholesterol Detection Using β -Cyclodextrin and Graphene Oxide-Enhanced Surface Plasmon Resonance Sensor
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Le résumé fourni par la source
This article researched a novel cholesterol sensor that leverages the power of reflective surface plasmon resonance (SPR). The sensor's core principle relies on the highly specific interaction between cholesterol and β-cyclodextrin (β-CD). A complex is formed when cholesterol adsorbs onto the β-CD molecules on the sensor surface. The measurable refractive index change on the surface of optical fibers is caused by this complex formation, which translates into a detectable shift in the wavelength of the SPR spectrum. The sensor's effectiveness is further amplified by incorporating two-dimensional graphene oxide as a sensitizing material. This addition significantly enhances the sensor's sensitivity, reaching an impressive 2910 nm/RIU(Refractive Index Unit), representing a remarkable 75% improvement compared to its unsensitized counterpart. Meanwhile, the abundant functional groups on the graphene oxide surface provide a natural and efficient binding platform for the cholesterol-selective β-CD probes. This sensor can detect cholesterol with a concentration of 0.1 μM, a response time of about 30 seconds, and a detection limit of 2 nM. In addition, the sensor achieves excellent selectivity for cholesterol in solution, minimizing interference from other biomolecules in solution. The compact size, plug and play, and excellent stability of this sensor enable it to perform high-sensitivity cholesterol detection, and it is expected to be used in the future to detect human cholesterol levels.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé, mais le titre doit être comparé manuellement.
- Titre Crossref
- Highly Sensitive Cholesterol Detection Using <i>β</i> -Cyclodextrin and Graphene Oxide-Enhanced Surface Plasmon Resonance Sensor
- Date Crossref
- 01/01/2026
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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State Key Laboratory of Synthetical Automation for Process Industries pays non établi dans la noticeStructure de recherche
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Northeastern University pays non établi dans la noticeUniversité ou école supérieure
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College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries pays non établi dans la noticeUniversité ou école supérieure
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University et State Key Laboratory of Synthetical Automation for Process Industries — College of Information Science and Engineering.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.