3 years ago

Multivalent glycosylated Cu:CdS quantum dots as a platform for rapid bacterial discrimination and detection

Multivalent glycosylated Cu:CdS quantum dots as a platform for rapid bacterial discrimination and detection
In this work, a rapid bacterial discrimination and detection system based on multivalent glycosylated Cu:CdS quantum dots (QDs) was presented. Cu:CdS QDs with excellent fluorescent properties were synthesized via a facile one-step method, then three natural carbohydrates, glucose, stachyose and raffinose, were coupled onto the surface of Cu:CdS QDs to construct glycosylated platforms. This is the first time that glucose, stachyose and raffinose were used for construction bacterial detection and identification platform. Bacterial discrimination was realized by analyzing the difference of binding strength between glycosylated Cu:CdS QDs and bacterial cell walls. Linear discriminant analysis was used to discriminate the response patterns, and six different bacterial samples could be identified within 30min. The greatest strengths of the bacterial discrimination platform based on multivalent glycosylated Cu:CdS QDs were rapid, simple and low-cost, there was no need for expensive reagents and instruments.

Publisher URL: www.sciencedirect.com/science

DOI: S0925400517313382

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.