Encapsulation of mRNA in Therapeutics Like Lipid Nanoparticles Probed by Deep-UV Resonance Raman Spectroscopy

Messenger RNA (mRNA) therapeutics have emerged as a powerful platform for treating a wide range of diseases, but their clinical success depends on overcoming the issues of instability and delivery. mRNAs are typically unstable and require encapsulation in lipid nanoparticles (LNPs) for efficient delivery. This study quantifies free and encapsulated mRNAs within LNPs in a model vaccine using deep-UV resonance Raman (DUVRR) spectroscopy. DUVRR spectroscopy with excitation at 266 nm, matching the maximum UV absorption of mRNA, enables spectral differentiation of mRNA based on its degree of encapsulation─from fully encapsulated to partially exposed to completely free. Raman spectra were acquired from the samples with progressively decreasing lipid concentrations while maintaining a fixed mRNA concentration; vibrational modes associated with mRNA-lipid interactions were identified. Principal component analysis (PCA) revealed spectral variations linked to the lipid presence, especially between 1270 and 1800 cm<sup>-1</sup>. Two-trace two-dimensional correlation spectroscopy (2T2D-COS) was employed to extract the 1322 cm<sup>-1</sup> band as a quantitative spectroscopic indicator of the lipid-mRNA interaction. This is the first use of 2T2D-COS for quantitative analysis of complex (bio)chemical systems. The work highlights the unsurpassed potential of DUVRR spectroscopy to analyze mRNAs within LNPs.

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Journal
Analytical Chemistry
Published
2026-01-15
DOI
https://doi.org/10.1021/acs.analchem.5c04246
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

Encapsulation of mRNA in Therapeutics Like Lipid Nanoparticles Probed by Deep-UV Resonance Raman Spectroscopy

Igor K. Lednev, Sila Jin, Vladimir V. Ermolenkov, Alexander Shekhtman et al.
Analytical Chemistry
Spectroscopy Techniques in Biomedical and Chemical Research
article

Encapsulation of mRNA in Therapeutics Like Lipid Nanoparticles Probed by Deep-UV Resonance Raman Spectroscopy

Igor K. Lednev, Sila Jin, Vladimir V. Ermolenkov, Alexander Shekhtman, Sergei V. Reverdatto, Young Mee Jung
article en

Abstract

Messenger RNA (mRNA) therapeutics have emerged as a powerful platform for treating a wide range of diseases, but their clinical success depends on overcoming the issues of instability and delivery. mRNAs are typically unstable and require encapsulation in lipid nanoparticles (LNPs) for efficient delivery. This study quantifies free and encapsulated mRNAs within LNPs in a model vaccine using deep-UV resonance Raman (DUVRR) spectroscopy. DUVRR spectroscopy with excitation at 266 nm, matching the maximum UV absorption of mRNA, enables spectral differentiation of mRNA based on its degree of encapsulation─from fully encapsulated to partially exposed to completely free. Raman spectra were acquired from the samples with progressively decreasing lipid concentrations while maintaining a fixed mRNA concentration; vibrational modes associated with mRNA-lipid interactions were identified. Principal component analysis (PCA) revealed spectral variations linked to the lipid presence, especially between 1270 and 1800 cm<sup>-1</sup>. Two-trace two-dimensional correlation spectroscopy (2T2D-COS) was employed to extract the 1322 cm<sup>-1</sup> band as a quantitative spectroscopic indicator of the lipid-mRNA interaction. This is the first use of 2T2D-COS for quantitative analysis of complex (bio)chemical systems. The work highlights the unsurpassed potential of DUVRR spectroscopy to analyze mRNAs within LNPs.

Analytical ChemistryVol. 98(5)
Kangwon National University (KR), University at Albany, State University of New York (US), National Institute for Fusion Science (JP), Advanced Institute of Convergence Technology (KR)
Good health and well-being
Openalex Percentile: Top 89%
Spectroscopy Techniques in Biomedical and Chemical Research
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Encapsulation of mRNA in Therapeutics Like Lipid Nanoparticles Probed by Deep-UV Resonance Raman Spectroscopy — Igor K. Lednev, Sila Jin, et al. · Analytical Chemistry (2026) | TGRS Research Map | TGRS