SERS microscopy as a tool for comprehensive biochemical characterization in complex samples

Kneipp, Janina; Seifert, Stephan; Gärber, Florian

doi:10.1039/d4cs00460d

Chem. Soc. Rev.

2024

DOI: 10.1039/d4cs00460d

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SERS microscopy as a tool for comprehensive biochemical characterization in complex samples

Janina Kneipp,

Stephan Seifert,

Florian Gärber

Abstract: Surface enhanced Raman scattering (SERS) microspectra give biochemical information from nanoscopic volumes in a heterogeneous biomaterial. With the help of machine learning, molecular structure and interactions can be inferred based on SERS data.

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Cited by 4 publications

References 188 publications

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Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products

Lin,

Zheng,

Fan

et al. 2025

Journal of Hazardous Materials

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Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products

Lin,

Zheng,

Fan

et al. 2025

Journal of Hazardous Materials

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SERS calibration substrate with a silent region internal standard for reliable simultaneous detection of multiple antibiotics in water

Chen,

Sun,

et al. 2025

Talanta

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SERS Spectra Indicate the Molecular Effects of 7-Nitrobenz-2-oxa-1,3-diazole (NBD) on Living Cells

Feng,

Gärber,

Saied

et al. 2024

J. Phys. Chem. C

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7-Nitrobenz-2-oxa-1,3-diazole (NBD) is a widely used fluorescent label for proteins, peptides, and lipids. Its chloride derivative, NBD-Cl, can be highly reactive toward thiol and amine groups, forming stable fluorescent adducts. When labeling the ubiquitous lipid molecule ceramide, NBD-ceramide (NBDCER) aids in visualizing sphingolipid metabolism in cells. This study investigates intracellular molecular changes induced by NBD-Cl and NBDCER using surface-enhanced Raman scattering (SERS). SERS spectra from the endolysosomal compartment of two cell lines, 3T3 fibroblast cells and J774 macrophage cells, obtained with gold nanoparticles as probes, reveal changes in the molecular composition and interactions under different incubation conditions. Applying the random forest (RF)-based algorithm surrogate minimal depth (SMD) to the SERS data to identify important spectral classifiers and their relations, both NBD-Cl and NBDCER are found to alter the biochemical makeup of the endolysosomal compartment. The data indicate significant structural and interaction changes in the molecular constituents of the cells that are in agreement with possible interference of the labels in the cellular metabolism and the reaction of NBD-Cl with functional groups of cellular molecules.

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SERS microscopy as a tool for comprehensive biochemical characterization in complex samples

Abstract: Surface enhanced Raman scattering (SERS) microspectra give biochemical information from nanoscopic volumes in a heterogeneous biomaterial. With the help of machine learning, molecular structure and interactions can be inferred based on SERS data.

Cited by 4 publications

References 188 publications

Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products

Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products

SERS calibration substrate with a silent region internal standard for reliable simultaneous detection of multiple antibiotics in water

SERS Spectra Indicate the Molecular Effects of 7-Nitrobenz-2-oxa-1,3-diazole (NBD) on Living Cells

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