Digital surface enhanced Raman spectroscopy for quantifiable single molecule detection in flow

The Analyst, Год журнала: 2024, Номер 149(14), С. 3711 - 3715

Опубликована: Янв. 1, 2024

Surface enhanced Raman scattering (SERS) provides a label free method of analyzing molecules from diverse and complex signals, potentially with single molecule sensitivity. The chemical specificity inherent in the SERS spectrum can identify molecules; however signal variability arising diversity plasmonic environments limit quantification, particularly at low concentrations. Here we show that digitizing, or counting events, decrease detection flowing solutions enabling quantification molecules. By using multivariate curve resolution establishing score threshold, each individual be classified as containing an event not. This binary "yes/no" then quantified, linear region established. was shown to lower lowest physical limit, lowered by order magnitude traditional, intensity based LOD calculations.

Язык: Английский

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Raman and Surface-Enhanced Raman Scattering Detection in Flowing Solutions for Complex Mixture Analysis

Annual Review of Analytical Chemistry, Год журнала: 2024, Номер 17(1), С. 411 - 432

Опубликована: Фев. 21, 2024

Raman scattering provides a chemical-specific and label-free method for identifying quantifying molecules in flowing solutions. This review comprehensive examination of the application spectroscopy surface-enhanced (SERS) to liquid samples. We summarize developments online at-line detection using SERS analysis, including design microfluidic devices, development unique substrates, novel sampling interfaces, coupling these approaches fluid-based chemical separations (e.g., chromatography electrophoresis). The article highlights challenges limitations associated with techniques examples their applications variety fields, chemistry, biology, environmental science. Overall, this demonstrates utility analysis complex mixtures potential further optimization techniques.

Язык: Английский

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A Chiral Sensing System Based on Single Au Nanowire: A General SERS Strategy for Identification of the Enantiomers and Mechanism for Chiral Interaction

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Фев. 6, 2025

Enantiomers are a widespread phenomenon in chemistry, and the identification, separation, synthesis of enantiomers were important fields drug screening, disease diagnosis, environmental monitoring. Herein, new strategy was presented to recognize based on surface-enhanced Raman scattering (SERS) technique using single Au nanowire (Au NW) decorated by Ag core-Au satellite nanocomposites as platform. The SERS discrimination detection is molecular interactions between chiral targets this NW-based nanosensor: signals l-nanosensor can be enhanced d-targets but decreased l-targets. In contrast, d-nanosensor l-targets d-targets. Therefore, method established for different with high selectivity sensitivity. A variety molecules, including glucose, threonine, mandelic acid, phenylalanine, sorbitol, tartaric acid tryptophan, successfully identified system, recognition mechanism nanosensor also explored depth via density functional theory (DFT) calculation. Due small overall dimension nanosensor, provides facile universal solution online analysis noninvasive especially some confined environment single-cell analysis.

Язык: Английский

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Selective Detection of Fungal and Bacterial Glycans with Galactofuranose (Galf) Residues by Surface-Enhanced Raman Scattering and Machine Learning Methods

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(9), С. 4218 - 4218

Опубликована: Апрель 29, 2025

Specific monosaccharide residue, β-D-galactofuranose (Galf) featuring a five-membered ring structure, is found in the glycans of fungi and bacteria, but normally absent healthy mammals humans. In this study, synthetic oligosaccharides mimicking bacterial fungal were investigated by SERS (Surface-Enhanced Raman Scattering) techniques for first time to distinguish between different types glycan chains. spectra related α-(1→2)-mannan, β-(1→3)-glucan, β-(1→6)-glucan, galactomannan Aspergillus, galactan I Klebsiella pneumoniae, diheteroglycan Enterococcus faecalis measured. To analyze spectra, number machine learning methods used that complemented each other: principal component analysis (PCA), confidence interval estimation (CIE), logistic regression with L1 regularization. Each has shown own effectiveness analyzing spectra. Namely, PCA allows visualization divergence space, CIE visualizes degree overlap through analysis, researchers build model determining belonging analyte given class carbohydrate structures. Additionally, complement other, allowing determination important features representing main differences containing not Galf residue. The developed mathematical models enabled reliable identification residues within compositions. Given high sensitivity SERS, spectroscopic technique serves as promising basis developing diagnostic test systems aimed at detecting biomarkers infections.

Язык: Английский

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A 3D printed sheath flow interface for surface enhanced Raman spectroscopy (SERS) detection in flow

The Analyst, Год журнала: 2024, Номер 149(6), С. 1849 - 1860

Опубликована: Янв. 1, 2024

A 3D printed flow cell for SERS detection was developed that incorporated sheath to confine analytes near the substrate. The device optimized by analyzing both molecules and particles with without detection.

Язык: Английский

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Towards Reliable and Practical SERS

Опубликована: Янв. 1, 2024

Язык: Английский

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Identification of structural stability and fragility of mouse liver glycogen via label-free Raman spectroscopy coupled with convolutional neural network algorithm

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 286, С. 138340 - 138340

Опубликована: Дек. 3, 2024

Язык: Английский

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