Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 7, Issue 51, Pages 28632-28639Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.5b10181
Keywords
-
Funding
- National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2013BAD19B02]
- National Natural Science Foundation of China [31271863, 81201691]
- Training Plan for the Main Subject of Academic Leaders of Jiangxi Province [20142BCB22004]
- Training Plan for the Young Scientist (Jinggang Star) of Jiangxi Province [20142BCB23004]
- Innovation Fund Designated for Graduate Students of Nanchang University [cx2015107]
Ask authors/readers for more resources
Plasmonic enzyme-linked immunosorbent assay (pELISA) based on catalase (CAT)-mediated gold nanoparticle growth exhibits ultrahigh sensitivity for detecting disease-related biomarkers using sandwich formats. However, the limit of detection (LOD) of this strategy for Listeria monocytogenes is only around 10 (3) CFU/mL, which considerably exceeds the amount of L. monocytogenes commonly present in food products (<100 CFU/g). Herein, we report an improved pELISA method for detection of L. monocytogenes at ultralow concentrations with the sandwich formats using silica nanoparticles carrying poly(acrylic acid) brushes as a CAT container to increase enzyme loading for enhancing the detection signal. Under optimal conditions, the proposed pELISA exhibits good specificity and excellent sensitivity for L. monocytogenes with a LOD of 8 x 101 CFU/mL in 0.01 M phosphate-buffered saline, via a reaction that can be discriminated by the naked eye. The LOD obtained by this method was 2 and 5 orders of magnitude lower than that of conventional CAT-based pELISA and horseradish peroxidase (HRP)-based conventional ELISA, respectively. Coupled with large-volume immunomagnetic separation, the LOD for L. monocytogenes-spiked lettuce samples reached 8 x 10 (1) CFU/g. The improved pELISA also exhibited a great potential in detecting a single cell of L. monocytogenes in 100 mu L of solution.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available