146
Views
1
CrossRef citations to date
0
Altmetric
Nanotechnology

Recent Advances in Nanomaterials-Based Sensing Platforms for the Determination of Multiple Bacterial Species: A Minireview

, , , , &
Pages 920-939 | Received 23 Feb 2023, Accepted 30 Jun 2023, Published online: 10 Jul 2023
 

Abstract

Pathogenic bacterial contamination poses serious threats to human health. Detecting multiple bacteria accurately and quickly is crutial to prevent potential risks. Nanosensors have unique properties for disease diagnosis and target detection. This review summarizes recent progress in simultaneously detecting multiple bacteria using functional nanomaterials with four types of signals: fluorescence, electrochemical, surface-enhanced Raman scattering (SERS), and visual readout. The review discusses design principles, nanomaterials, sensitivity, operation time, advantages, disadvantages, and the challenge in translating these nanosensors to the market. This review provides valuable insight for developing multi-target biosensors using nanomaterials in different industries.

Disclosure statement

There are no conflicts of interest to declare.

Additional information

Funding

This work was supported by the introduced innovative R&D team project under the “The Pearl River Talent Recruitment Program” of Guangdong Province (2019ZT08L387), the National Natural Science Foundation of China (21906033), and GuangDong Basic and Applied Basic Research Foundation (202102020570).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 768.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.