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Quantification of lung surfactant lipid (dipalmitoylphosphatidylcholine/sphingomyelin) ratio in binary liposomes using Raman spectroscopy

Quantification of lung surfactant lipid (dipalmitoylphosphatidylcholine/sphingomyelin) ratio in binary liposomes using Raman spectroscopy
Quantification of lung surfactant lipid (dipalmitoylphosphatidylcholine/sphingomyelin) ratio in binary liposomes using Raman spectroscopy
Early diagnosis of neonatal respiratory distress syndrome (nRDS) is important
in reducing the mortality of preterm babies. Knowledge of the ratio of two
components of lung surfactant, dipalmitoylphosphatidylcholine (DPPC), and
sphingomyelin (SM) can be used as biomarkers of lung maturity and inform
treatment. Raman spectroscopy is a powerful tool to analyze vibrational spectra
of organic molecules which requires only limited sample preparation steps
and, unlike IR spectroscopy, is not masked by water absorption. In this paper,
we explore the potential of using Raman spectroscopy as a tool to estimate the
ratio of DPPC and SM from aqueous vesicles of binary mixture of DPPC and
SM. We demonstrate that the ratio of DPPC and SM can be estimated by estimating the ratio of intensity of C O stretch of DPPC and C C stretch of SM
as well as C O stretch of DPPC and amide I of SM. Further, we employ a partial
least squares regression (PLSR) model to automate the estimation and
demonstrate that PLSR method can predict the DPPC and SM ratio with an R2
value of 0.968.
Raman spectroscopy, lipid vesicles, liposome, machine learning, neonatal respiratory distress syndrome, phospholipids
1097-4555
Veluthandath, Aneesh Vincent
6a183413-e10f-4374-bc64-a33bf7fd9cfa
Ahmed, Waseem
4326b5dd-ca37-4ea0-bd27-294f2ef011e6
Madens, Jens
95d9340c-4a88-49da-8a87-dec1a6b0e1e0
Clark, Howard W.
d237bb0a-ab8f-4b97-8ad2-bbfe73314260
Postle, Anthony D.
0fa17988-b4a0-4cdc-819a-9ae15c5dad66
Wilkinson, James S.
73483cf3-d9f2-4688-9b09-1c84257884ca
Murugan, Ganapathy Senthil
a867686e-0535-46cc-ad85-c2342086b25b
Veluthandath, Aneesh Vincent
6a183413-e10f-4374-bc64-a33bf7fd9cfa
Ahmed, Waseem
4326b5dd-ca37-4ea0-bd27-294f2ef011e6
Madens, Jens
95d9340c-4a88-49da-8a87-dec1a6b0e1e0
Clark, Howard W.
d237bb0a-ab8f-4b97-8ad2-bbfe73314260
Postle, Anthony D.
0fa17988-b4a0-4cdc-819a-9ae15c5dad66
Wilkinson, James S.
73483cf3-d9f2-4688-9b09-1c84257884ca
Murugan, Ganapathy Senthil
a867686e-0535-46cc-ad85-c2342086b25b

Veluthandath, Aneesh Vincent, Ahmed, Waseem, Madens, Jens, Clark, Howard W., Postle, Anthony D., Wilkinson, James S. and Murugan, Ganapathy Senthil (2023) Quantification of lung surfactant lipid (dipalmitoylphosphatidylcholine/sphingomyelin) ratio in binary liposomes using Raman spectroscopy. Journal of Raman Spectroscopy. (doi:10.1002/jrs.6631).

Record type: Article

Abstract

Early diagnosis of neonatal respiratory distress syndrome (nRDS) is important
in reducing the mortality of preterm babies. Knowledge of the ratio of two
components of lung surfactant, dipalmitoylphosphatidylcholine (DPPC), and
sphingomyelin (SM) can be used as biomarkers of lung maturity and inform
treatment. Raman spectroscopy is a powerful tool to analyze vibrational spectra
of organic molecules which requires only limited sample preparation steps
and, unlike IR spectroscopy, is not masked by water absorption. In this paper,
we explore the potential of using Raman spectroscopy as a tool to estimate the
ratio of DPPC and SM from aqueous vesicles of binary mixture of DPPC and
SM. We demonstrate that the ratio of DPPC and SM can be estimated by estimating the ratio of intensity of C O stretch of DPPC and C C stretch of SM
as well as C O stretch of DPPC and amide I of SM. Further, we employ a partial
least squares regression (PLSR) model to automate the estimation and
demonstrate that PLSR method can predict the DPPC and SM ratio with an R2
value of 0.968.

Text
J Raman Spectroscopy - 2023 - Veluthandath - Quantification of lung surfactant lipid dipalmitoylphosphatidylcholine - Version of Record
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Accepted/In Press date: 18 November 2023
e-pub ahead of print date: 13 December 2023
Additional Information: Funding Information: This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC Grant EP/S03109X/1). W.A. thanks EPSRC DTP PhD Studentship. A.V.V. is supported by the National Institute for Health and Care Research through the NIHR Southampton Biomedical Research Centre. Funding information
Keywords: Raman spectroscopy, lipid vesicles, liposome, machine learning, neonatal respiratory distress syndrome, phospholipids

Identifiers

Local EPrints ID: 485680
URI: http://eprints.soton.ac.uk/id/eprint/485680
ISSN: 1097-4555
PURE UUID: 73a56166-9b1e-4520-a0b7-f63d9ed81818
ORCID for Aneesh Vincent Veluthandath: ORCID iD orcid.org/0000-0003-4306-6723
ORCID for Anthony D. Postle: ORCID iD orcid.org/0000-0001-7361-0756
ORCID for James S. Wilkinson: ORCID iD orcid.org/0000-0003-4712-1697
ORCID for Ganapathy Senthil Murugan: ORCID iD orcid.org/0000-0002-2733-3273

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Date deposited: 14 Dec 2023 17:32
Last modified: 06 Jun 2024 02:07

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Contributors

Author: Aneesh Vincent Veluthandath ORCID iD
Author: Waseem Ahmed
Author: Jens Madens
Author: Howard W. Clark
Author: Ganapathy Senthil Murugan ORCID iD

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