Literature DB >> 32018156

Surface modified glass substrate for sensing E. coli using highly stable and luminescent CdSe/CdS core shell quantum dots.

Chandan Hunsur Ravikumar1, Shwetharani R2, R Geetha Balakrishna3.   

Abstract

CdSe/CdS core shelled quantum dots (QDs) were prepared by colloidal synthesis using a binary ligand system and a non-coordinating, reusable solvent n-octadecane (nOD). Both the synthesis of CdSe and CdSe/CdS core shelled quantum dots were achieved by hot injection technique at much lower temperatures than reported earlier. The use of binary ligand facilitated enough nucleation and growth. Red shift in absorption spectra, an enhanced crystallite and particle size is evidenced by XRD and TEM respectively, confirming the formation of core shell structure of CdSe/CdS. The synthesized core shells exhibited high fluorescence intensity, long term stability and good mono dispersion, making it a potential material for bio-imaging and sensing. Core shell QDs were modified with mercapto propionic acid (MPA) to impart aqueous solubility. Studies on cytotoxicity of shelled QDs reveal good bio compatibility with a very minimum toxicity of IC50 = 20 μg/L. These QDs were used for sensing E. coli. Ordinary glass slide, modified using plasma etching is surface modified through APTES aiding conjugation of antibodies. Anti- E. coli polyclonal antibody on glass matrix (slide) and antibody conjugated QDs were used for detection of E. coli in a typical sandwich model. The excellent optical transparency of glass and high emission of QDs lead to detection of E.coli with a limit of detection of 50 CFU/mL.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CdSe/CdS; Core- shell; E. coli; Glass substrate; Quantum yield; Synthesis

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Year:  2020        PMID: 32018156     DOI: 10.1016/j.jphotobiol.2020.111799

Source DB:  PubMed          Journal:  J Photochem Photobiol B        ISSN: 1011-1344            Impact factor:   6.252


  1 in total

1.  Microfluidic fluorescent platform for rapid and visual detection of veterinary drugs.

Authors:  Ge Li; Hao Li; Jiang Zhai; Jiazhuang Guo; Qing Li; Cai-Feng Wang; Su Chen
Journal:  RSC Adv       Date:  2022-03-16       Impact factor: 3.361

  1 in total

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