Journal article
Carbon nanodot-hybridized silica nanospheres assisted immunoassay for sensitive detection of Escherichia coli
Sensors and actuators. B, Chemical, Vol.349, p.130730
12/15/2021
Abstract
Carbon dots (CDs) are intrinsically luminescent nanomaterials that have many potential applications in biosensing technologies due in part to their high photostability and fluorescent properties. However, attempts to integrate CDs into immunosorbent assays have been deterred by challenges preventing quantum yield augmentation and surface functionalization. To address these issues, we fabricated carbon dot-encapsulated silica nanospheres (CSNs) using a facile one-pot synthesis method. The enclosing silica matrix rendered extensive material stability to the nanospheres and abated quenching by nonradiative decay to cause considerable signal amplification. Nanosphere hybridization to antibodies permitted their use in solid-phase immunoassays as tracers. Here, we demonstrate the suitability of CSN-based immunosorbent assays as a point-of-care technique for the detection of foodborne pathogens through E. coli O157:H7 quantitation experiments. After optimization, detection limit of E. coli O157:H7 was determined to be 2.4 CFU mL(-1). The estimated recoveries were in the range of 91.7-110.5% in spiked samples, which indicated that the developed method is capable for detecting E. coli O157:H7 in food samples. The nanosphere tracers described herein, and the methods used to create them, may be beneficial tools for the development of new pathogen biosensing strategies.
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Details
- Title
- Carbon nanodot-hybridized silica nanospheres assisted immunoassay for sensitive detection of Escherichia coli
- Creators
- Yang Song - Washington State UniversityP. Grayson Ostermeyer - Washington State Univ, Sch Biol Sci, Pullman, WA 99164 USADan Du - Washington State UniversityYuehe Lin - Washington State University
- Publication Details
- Sensors and actuators. B, Chemical, Vol.349, p.130730
- Academic Unit
- School of Mechanical and Materials Engineering
- Publisher
- Elsevier
- Number of pages
- 8
- Grant note
- Washington State University
- Identifiers
- 99901227640301842
- Language
- English
- Resource Type
- Journal article