Chauhan, M orcid.org/0000-0001-9742-5352, Buckley, A, Jha, A et al. (3 more authors) (2020) Metabolite Identification of Helicobacter Pylori Supernatant Using Near-IR Raman Spectroscopy. In: 2020 22nd International Conference on Transparent Optical Networks (ICTON). 2020 22nd International Conference on Transparent Optical Networks (ICTON), 19-23 Jul 2020, Bari, Italy. IEEE ISBN 9781728184241
Abstract
Helicobacter pylori, a non-invasive gram-negative bacteria is well known for its direct cause and effect relationship with peptic ulcer, gastric or duodenal ulceration. Its severe effect on human begin with its colonization and production of various enzyme like Vacuolating cytotoxin, Urease and Heat shock proteins. Urease is complex spherical protein which causes hydrolysis of gastric urea to ammonia and CO 2 . The enzymatic reaction results in increase of gastric pH and hence results in gastric cancer. We present a photonic based technique to identify these proteins in its natural supernatant condition. The Raman spectrum of Helicobacter pylori is reported and the vibrational peaks are identified with corresponding chemical bonds in the biochemical enzyme. This can lay the foundation for future diagnostic tool for clinical detection of peptic ulcer, gastric or duodenal ulceration.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Proteins, Raman scattering, Microorganisms, Strain, Chemicals, Tools |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number EU - European Union 844696 |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Sep 2020 10:41 |
Last Modified: | 09 Oct 2020 12:08 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/icton51198.2020.9203521 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165933 |