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Spectroscopic quantification of synthetic neonatal respiratory distress syndrome biomarkers in lipid mixtures

Spectroscopic quantification of synthetic neonatal respiratory distress syndrome biomarkers in lipid mixtures
Spectroscopic quantification of synthetic neonatal respiratory distress syndrome biomarkers in lipid mixtures
Vibrational spectroscopy is an important tool to quantify lipid biomarkers in lung surfactant, aiding rapid diagnosis of neonatal respiratory distress syndrome. We demonstrate a method, using a small sample volume, to predict lecithin, sphingomyelin and phosphatidylglycerol concentrations in complex synthetic lipid mixtures.
Lung surfactant, Partial least squares regression analysis, Machine learning, vibrational spectroscopy
Luo, Hings
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Ahmed, Waseem
bd8069b9-786f-4dd1-b3f0-cf94d828a3b2
Vincent Veluthandath, Aneesh
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Postle, Anthony
0fa17988-b4a0-4cdc-819a-9ae15c5dad66
Grocott, Mike
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Dushianthan, Ahilanandan
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Senthil Murugan, Ganapathy
a867686e-0535-46cc-ad85-c2342086b25b
Luo, Hings
3be8a389-a8b9-4c92-a7eb-8b03e94333b2
Ahmed, Waseem
bd8069b9-786f-4dd1-b3f0-cf94d828a3b2
Vincent Veluthandath, Aneesh
6a183413-e10f-4374-bc64-a33bf7fd9cfa
Postle, Anthony
0fa17988-b4a0-4cdc-819a-9ae15c5dad66
Grocott, Mike
1e87b741-513e-4a22-be13-0f7bb344e8c2
Dushianthan, Ahilanandan
013692a2-cf26-4278-80bd-9d8fcdb17751
Senthil Murugan, Ganapathy
a867686e-0535-46cc-ad85-c2342086b25b

Luo, Hings, Ahmed, Waseem, Vincent Veluthandath, Aneesh, Postle, Anthony, Grocott, Mike, Dushianthan, Ahilanandan and Senthil Murugan, Ganapathy (2024) Spectroscopic quantification of synthetic neonatal respiratory distress syndrome biomarkers in lipid mixtures. Photonics 2024: 16th International Conference on Fiber Optics and Photonics, IIT Kharagpur, Kharagpur, India. 12 - 15 Dec 2024.

Record type: Conference or Workshop Item (Paper)

Abstract

Vibrational spectroscopy is an important tool to quantify lipid biomarkers in lung surfactant, aiding rapid diagnosis of neonatal respiratory distress syndrome. We demonstrate a method, using a small sample volume, to predict lecithin, sphingomyelin and phosphatidylglycerol concentrations in complex synthetic lipid mixtures.

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Manuscript Photonics 2024_FINAL - Version of Record
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Published date: 13 December 2024
Venue - Dates: Photonics 2024: 16th International Conference on Fiber Optics and Photonics, IIT Kharagpur, Kharagpur, India, 2024-12-12 - 2024-12-15
Keywords: Lung surfactant, Partial least squares regression analysis, Machine learning, vibrational spectroscopy

Identifiers

Local EPrints ID: 497328
URI: http://eprints.soton.ac.uk/id/eprint/497328
PURE UUID: 850440c8-7f7f-4589-97db-0d560a334836
ORCID for Hings Luo: ORCID iD orcid.org/0009-0001-3513-7520
ORCID for Waseem Ahmed: ORCID iD orcid.org/0000-0001-7172-264X
ORCID for Aneesh Vincent Veluthandath: ORCID iD orcid.org/0000-0003-4306-6723
ORCID for Anthony Postle: ORCID iD orcid.org/0000-0001-7361-0756
ORCID for Mike Grocott: ORCID iD orcid.org/0000-0002-9484-7581
ORCID for Ahilanandan Dushianthan: ORCID iD orcid.org/0000-0002-0165-3359
ORCID for Ganapathy Senthil Murugan: ORCID iD orcid.org/0000-0002-2733-3273

Catalogue record

Date deposited: 20 Jan 2025 17:36
Last modified: 21 Jan 2025 03:13

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Contributors

Author: Hings Luo ORCID iD
Author: Waseem Ahmed ORCID iD
Author: Aneesh Vincent Veluthandath ORCID iD
Author: Anthony Postle ORCID iD
Author: Mike Grocott ORCID iD
Author: Ahilanandan Dushianthan ORCID iD
Author: Ganapathy Senthil Murugan ORCID iD

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