Bone tumor diagnosis: A FRET-based fluorescent osteocalcin sensor using palladium nanoparticles

IF 6.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Tao Wang , Ke Zhang , Mingyang Jiang , Yinteng Wu , Raquel Alarcón Rodríguez , Shenyi Lu , Ruqiong Wei
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引用次数: 0

Abstract

This study was conducted on a design of a fluorescence resonance energy transfer (FRET)-based fluorescent osteocalcin sensor using palladium nanoparticles (PdNPs) and application for determining osteocalcin (OC) level as a bone turnover marker in human serum samples for bone tumor diagnosis. The PdNPs were synthesized via a seed-mediated growth method. The UV-Vis absorption spectrum of PdNPs and the fluorescence-emission spectrum of 5-carboxyfluorescein (FAM)-OC aptamer showed remarkable spectral overlap. FRET experiments were performed using a fixed concentration of 90 nM of FAM-labeled OC aptamer, and results indicated an OC concentration-dependent manner within the range of 5–1200 ng/mL with the limit of detection 0.31 ng/mL. The results showed the high recovery rates ranged from 97.70 % to 99.50 % with relative standard deviations between 3.37 % and 4.31 %, indicating the accuracy and reliability of the nanoprobe. The FRET-based aptamer nanoprobe showed excellent specificity towards OC, with minimal interference from other proteins. Additionally, it exhibited excellent long-term stability and repeatability, maintaining approximately 93.89 % of the initial FRET response after 25 days. These results suggested that the FRET-based aptamer nanoprobe is highly effective, reliable, and suitable for practical applications in clinical diagnostics.
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来源期刊
alexandria engineering journal
alexandria engineering journal Engineering-General Engineering
CiteScore
11.20
自引率
4.40%
发文量
1015
审稿时长
43 days
期刊介绍: Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering
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