# Enhancing Micro-Raman Spectroscopy: A Variable Spectral Resolution Instrument Using Zoom Lens Technology

**Authors:** Ivan Pavić, Nediljko Kaštelan, Arkadiusz Adamczyk, Mile Ivanda

PMC · DOI: 10.3390/s24134284 · Sensors (Basel, Switzerland) · 2024-07-01

## TL;DR

This paper introduces a micro-Raman spectrometer with adjustable resolution using zoom lens technology to better analyze microscopic materials.

## Contribution

The novel use of zoom lens technology allows continuous adjustment of spectral resolution in micro-Raman spectroscopy.

## Key findings

- Replacing a collimating mirror with a zoom lens enables variable spectral resolution.
- Higher zoom factors achieve higher spectral resolution with lower FWHM values.
- Validation showed comparable performance to high-grade Raman spectrometers.

## Abstract

Raman spectroscopy is a powerful analytical technique based on the inelastic scattering of photons. Conventional macro-Raman spectrometers are suitable for mass analysis but often lack the spatial resolution required to accurately examine microscopic regions of interest. For this reason, the development of micro-Raman spectrometers has been driven forward. However, even with micro-Raman spectrometers, high resolution is required to gain better insight into materials that provide low-intensity Raman signals. Here, we show the development of a micro-Raman spectrometer with implemented zoom lens technology. We found that by replacing a second collimating mirror in the monochromator with a zoom lens, the spectral resolution could be continuously adjusted at different zoom factors, i.e., high resolution was achieved at a higher zoom factor and lower spectral resolution was achieved at a lower zoom factor. A quantitative analysis of a micro-Raman spectrometer was performed and the spectral resolution was analysed by FWHM using the Gaussian fit. Validation was also performed by comparing the results obtained with those of a high-grade laboratory Raman spectrometer. A quantitative analysis was also performed using the ANOVA method and by assessing the signal-to-noise ratio between the two systems.

## Full-text entities

- **Diseases:** injury to people or property (MESH:C000719191)
- **Chemicals:** TiO2 P25 (-), nitrogen (MESH:D009584), TiO2 (MESH:C009495), S (MESH:D013455), ZrO2 (MESH:C028541), Si (MESH:D012825), P25 (MESH:D003023)

## Full text

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## Figures

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## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC11243961/full.md

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Source: https://tomesphere.com/paper/PMC11243961