# Effects of Sample Deposition Medium and Drying on Spectroscopic Quantification of Lipid Biomarkers in Respiratory Distress Syndrome

**Authors:** Zixing (Hings) Luo, Waseem Ahmed, Anthony D. Postle, Ahilanandan Dushianthan, Michael P. W. Grocott, Ganapathy Senthil Murugan

PMC · DOI: 10.3390/bios16030154 · Biosensors · 2026-03-10

## TL;DR

This study shows that drying samples in water improves the accuracy of measuring lipid ratios in lung surfactant using infrared spectroscopy.

## Contribution

The study introduces a novel drying method using water to enhance spectroscopic quantification of lipid biomarkers.

## Key findings

- Using water as a drying medium significantly increases the signal-to-noise ratio of lipid absorption peaks.
- PLSR models trained on water-dried samples accurately predict the lecithin/sphingomyelin ratio with high R2 and ROC-AUC values.
- The drying route accounts for most of the variance in peak height and improves measurement repeatability.

## Abstract

Rapid point of care assessment of pulmonary surfactant composition by measuring the lecithin/sphingomyelin (L/S) ratio could improve management of patients with neonatal respiratory distress syndrome (nRDS). Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) offers a practical route to making such measurements, but the influence of the sample solvent prior to drying on measurement repeatability is poorly understood. We compare films dried from dichloromethane (DCM) and water (AQ) solvents (DCM-dry route vs. AQ-dry route) by ATR-FTIR and show that spectra from the AQ-dry route increased the signal-to-noise ratio (SNR) of a representative (2920 cm−1) absorption peak for the mixture from 20.13 to 128.20 and for human endotracheal aspirate (ETA) from 6.33 to 8.13. A mixed nested analysis of variance (ANOVA) showed that drying route accounted for 89.52% of mixture peak height variance and reduced percent relative standard deviation (%RSD) from 23.5% to 16.2%, corroborated by multivariate analysis for ETA. We further demonstrate that partial least squares regression (PLSR) models trained on AQ-dry mixture spectra predicted L/S (R2 = 0.91; root mean square error (RMSE) = 0.31) with 95% prediction interval grey-zone interpretation around L/S = 2.2, complemented by a receiver operating characteristic area under the curve (ROC-AUC) of 0.978.

## Linked entities

- **Chemicals:** dichloromethane (PubChem CID 6344), lecithin (PubChem CID 10425706)
- **Diseases:** neonatal respiratory distress syndrome (MONDO:0700081)

## Full-text entities

- **Genes:** SLC16A1 (solute carrier family 16 member 1) [NCBI Gene 6566] {aka HHF7, MCT, MCT1, MCT1D}, PCSK1 (proprotein convertase subtilisin/kexin type 1) [NCBI Gene 5122] {aka BMIQ12, NEC1, PC1, PC1/3, PC3, SPC3}, PC (pyruvate carboxylase) [NCBI Gene 5091] {aka PCB}
- **Diseases:** deficiency or dysfunction of pulmonary surfactant (MESH:C580477), injury to (MESH:D014947), RDS (MESH:C566881), Neonatal respiratory distress syndrome (MESH:D012127), respiratory compromise (MESH:D012131), Respiratory Distress Syndrome (MESH:D012128)
- **Chemicals:** PO2- (MESH:C093415), L (MESH:D007930), silicon (MESH:D012825), phospholipid (MESH:D010743), sphingolipid (MESH:D013107), Methanol (MESH:D000432), DCM (MESH:D008752), Chol (MESH:D002784), AQ-dry (-), PG (MESH:D010715), phosphate (MESH:D010710), 1-palmitoyl-2-oleoylphosphatidylcholine (MESH:C028694), phosphatidylcholine (MESH:D010713), ceramide (MESH:D002518), ester (MESH:D004952), nitrogen (MESH:D009584), Lipid (MESH:D008055), Water (MESH:D014867), DPPC (MESH:D015060), sphingomyelin (MESH:D013109), mercury cadmium telluride (MESH:C104191), CO2 (MESH:D002245), carbohydrate (MESH:D002241), lecithin (MESH:D054709), S (MESH:D013455)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13024144/full.md

## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024144/full.md

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Source: https://tomesphere.com/paper/PMC13024144