{"title":"A new immunofluorescence determination of Parkinson's disease biomarkers using silver nanoparticles","authors":"","doi":"10.1016/j.aej.2024.10.069","DOIUrl":null,"url":null,"abstract":"<div><div>Parkinson's disease (PD) is a neurodegenerative condition marked by a steady loss of dopaminergic neurons in the brain's substantia nigra. Prompt identification and tracking of PD progression are essential for prompt intervention and efficient PD care. In this study, we developed an immunofluorescence detection approach for α-synuclein (α-syn), a critical biomarker associated with PD, that is both extremely sensitive and specific. Using polyethylene glycol (PEG)-functionalized magnetic beads (MBs) and an Ag<sup>+</sup> fluorescence probe (Ag<sup>+</sup>-FP) based on Rhodamine 6 G, the suggested method makes use of an immunofluorescence detection system. The system's workings are based on antigen-antibody complexes. Identified as Ab1-MBs@α-syn@Ab2-Ag NPs, the immuno-complexes encapsulate α-synuclein between anti-α-synuclein antibodies (Ab1) fixed on amino-MBs and Ag Nanoparticles functionalized with matching Ab2. α-synuclein detection was accomplished at a limit of less than 8 pg/mL through optimization of pH, reaction duration, and antibody concentration. The method showed very little cross-reactivity with other widely used biomarkers and a high specificity. The system showed a linear range of 524.8 ng/mL to 0.2 ng/mL. The results, which showed recovery values ranging from 97.00 % to 99.57 % and were consistent with those obtained using a commercial ELISA kit, indicated the system's potential for clinical applications in the diagnosis and monitoring of PD.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S111001682401233X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Parkinson's disease (PD) is a neurodegenerative condition marked by a steady loss of dopaminergic neurons in the brain's substantia nigra. Prompt identification and tracking of PD progression are essential for prompt intervention and efficient PD care. In this study, we developed an immunofluorescence detection approach for α-synuclein (α-syn), a critical biomarker associated with PD, that is both extremely sensitive and specific. Using polyethylene glycol (PEG)-functionalized magnetic beads (MBs) and an Ag+ fluorescence probe (Ag+-FP) based on Rhodamine 6 G, the suggested method makes use of an immunofluorescence detection system. The system's workings are based on antigen-antibody complexes. Identified as Ab1-MBs@α-syn@Ab2-Ag NPs, the immuno-complexes encapsulate α-synuclein between anti-α-synuclein antibodies (Ab1) fixed on amino-MBs and Ag Nanoparticles functionalized with matching Ab2. α-synuclein detection was accomplished at a limit of less than 8 pg/mL through optimization of pH, reaction duration, and antibody concentration. The method showed very little cross-reactivity with other widely used biomarkers and a high specificity. The system showed a linear range of 524.8 ng/mL to 0.2 ng/mL. The results, which showed recovery values ranging from 97.00 % to 99.57 % and were consistent with those obtained using a commercial ELISA kit, indicated the system's potential for clinical applications in the diagnosis and monitoring of PD.
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