Anti-OTC antibody-conjugated fluorescent magnetic/silica and fluorescent hybrid silica nanoparticles for oxytetracycline detection

Author:

Kaliyaperumal Viswanathan1,Al-Otibi Fatimah Oleyan2,John Ruth Sophila3,Alharbi Raedah Ibrahim2,Gopal Dhinakar Raj34

Affiliation:

1. Department of Chemistry, SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS) , Chennai , 600 077 , India

2. Department of Botany and Microbiology, College of Science, King Saud University , P.O. Box 22452 , Riyadh , 11451 , Saudi Arabia

3. Department of Biotechnology, Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University (TANUVAS) , Chennai , 600051 , India

4. Translational Research Platform for Veterinary Biologicals, Centre for Animal Health Studies (CAHS), Tamil Nadu Veterinary and Animal Sciences University (TANUVAS) , Chennai , 600051 , India

Abstract

Abstract This study presents two alternative fluorescent nanoparticle-based oxytetracycline (OTC) detection methods in milk samples. Rhodamine 6G-coated fluorescent hybrid silica nanoparticles and fluorescent magnetic/silica nanoparticles functionalized with anti-OTC antibodies were used in this test. The sandwich test format was utilized to compare anti-OTC antibody-conjugated fluorescent magnetic/silica nanoparticles with OTC/OTC antibody-conjugated fluorescent hybrid silica nanoparticles in an Eppendorf tube with magnetic separators. The magnetic separator helps to quickly retain all of the OTC captured by fluorescent magnetic core–shell nanoparticles in the milk sample. As a result, the assay time was dramatically shortened. The obtained linear range was 1.34 × 10−6 to 2.10 × 10−8 (M) (R 2 = 0.9954), the detection limit was 4.76 ng/mL, and the total assay time was 90 min. This approach was used to determine the OTC concentration in milk samples, and the maximum percentage (%) of interference was less than 3.0%, with a recovery rate of greater than 97.0%. This approach offers a high potential for residue detection in milk samples. With a total analysis period of less than 90 min, this approach provided the best way to determine the capture and detector nanoparticles’ response.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3