Loading…
The preparation of bifunctional hybrid nano-flowers and their application in the enzyme-linked immunosorbent assay for detection
As the infection by Helicobacter pylori ( H. pylori , HP) remains for a lifetime and may induce diseases such as gastric cancer, it is vital to detect and diagnose it. A new non-invasive indirect enzyme-linked immunosorbent assay (iELISA) method based on nano-flowers (NFs) is very advantageous for t...
Saved in:
Published in: | Analyst (London) 2021-01, Vol.146 (1), p.338-347 |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | As the infection by
Helicobacter pylori
(
H. pylori
, HP) remains for a lifetime and may induce diseases such as gastric cancer, it is vital to detect and diagnose it. A new non-invasive indirect enzyme-linked immunosorbent assay (iELISA) method based on nano-flowers (NFs) is very advantageous for the sensitive detection of HP. Furthermore, the established iELISA method based on the organic-inorganic bifunctional hybrid nano-flowers including rabbit polyclonal antibody of HP labeled with peroxidase from horseradish (R-HP-Ab-HRP@Cu
2+
NFs) showed linearity with HP at a concentration of 0-10
5
CFU mL
−1
(
R
2
= 0.9997). Moreover, the limit of detection (LOD) reached 50 CFU mL
−1
, and not only was the detection sensitivity 20 times higher than that based on rabbit polyclonal antibody of HP labeled with peroxidase from horseradish (R-HP-Ab-HRP) but also the stability of R-HP-Ab-HRP in NFs was improved. In addition, the OD
450 nm
value was still linearly related to the concentration of HP at a range of 0-10
5
CFU mL
−1
(
R
2
= 0.9952) with a LOD of 50 CFU mL
−1
in an artificial saliva system. This study provided a sensitive, low-cost and convenient method for the non-invasive detection of HP.
As the infection by
Helicobacter pylori
(
H. pylori
, HP) remains for a lifetime and may induce diseases such as gastric cancer, it is vital to detect and diagnose it. |
---|---|
ISSN: | 0003-2654 1364-5528 |
DOI: | 10.1039/d0an01533d |