4.6 Article

Rapid Fluorescence Quenching Detection of Escherichia coli Using Natural Silica-Based Nanoparticles

期刊

SENSORS
卷 21, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/s21030881

关键词

Escherichia coli; fluorescence; natural silica; nanoparticles; Rhodamine B; biosensor

资金

  1. Ministry of Research, Technology and Higher Education of the Indonesian Government through the National Innovation Grant (INSINAS) 2019 [007/P/RPL-LIPI/INSINAS-1/II/2019]
  2. JFS SEA-EU/LPDP NAPARBA Project [SEAEUROPEJFS19ST-117]

向作者/读者索取更多资源

The paper describes the development of fluorescent silica nanoparticles from natural amorphous silica and its application as an Escherichia coli biosensor. The research demonstrates excellent analytical performance and selectivity of the fluorescent silica nanoparticles, with a significant reduction in response time compared to conventional methods.
The development of fluorescent silica nanoparticles (SNP-RB) from natural amorphous silica and its performance as an Escherichia coli (E. coli) biosensor is described in this paper. SNP-RB was derived from silica recovered from geothermal installation precipitation and modified with the dye, Rhodamine B. The Fourier Infrared (FTIR) confirms the incorporation of Rhodamine B in the silica matrix. Transmission Electron Microscopy (TEM) micrographs show that the SNP-RB had an irregular structure with a particle diameter of about 20-30 nm. The maximum fluorescence spectrum of SNP-RB was recorded at 580 nm, which was further applied to observe the detection performance of the fluorescent nanoparticles towards E. coli. The sensing principle was based on the fluorescence-quenching mechanism of SNP-RB and this provided a wide linear E. coli concentration range of 10-10(5) CFU/mL with a limit detection of 8 CFU/mL. A rapid response time was observed after only 15 min of incubation of SNP-RB with E. coli. The selectivity of the biosensor was demonstrated and showed that the SNP-RB only gave quenching response only to live E. coli bacteria. The use of SNP-RB as a sensing platform reduced the response time significantly compared to conventional 3-day bacterial assays, as well having excellent analytical performance in terms of sensitivity and selectivity.

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