New Publication: SpectraGuru Advances Reproducible Raman and SERS Data Analysis

We are pleased to announce a new publication from our group in Analytical Chemistry, entitled "Comprehensive Open-Source Ecosystem for Raman and SERS Spectroscopy: Introducing SpectraGuru", highlighting recent progress in improving the reproducibility and transparency of Raman and Surface-Enhanced Raman Spectroscopy (SERS) data analysis through the development of the SpectraGuru platform.

Raman and SERS spectroscopy are widely used across chemistry, materials science, biology, environmental monitoring, and biosensing. However, spectral interpretation and machine-learning analysis are often highly sensitive to data preprocessing steps, including baseline correction, smoothing, normalization, and outlier removal. Small differences in these parameters can lead to significant variations in downstream analysis, making reproducibility and comparison across studies difficult. In this work, we demonstrate how SpectraGuru provides a transparent and modular framework for Raman and SERS data processing. The platform allows users to build and document spectral analysis pipelines while preserving the parameters used at each step. This approach enables researchers to:

• Construct reproducible preprocessing workflows

• Track and document spectral processing parameters

• Prepare datasets for machine learning and chemometric analysis

• Share standardized workflows within the spectroscopy community

By integrating preprocessing tools, data management, and machine-learning-ready workflows within a web-based platform, SpectraGuru aims to make spectral data analysis more transparent, reproducible, and scalable.

Growing Global Adoption of SpectraGuru

Since its public launch, SpectraGuru has been adopted by researchers around the world. Current usage statistics highlight the strong global interest in accessible and standardized Raman and SERS data analysis tools:

• Scientists from 95 countries

• 694,070 cumulative platform visits

• 31,464 plots generated

• 507,463 spectra processed

These numbers demonstrate the growing demand for open, reproducible, and community-driven platforms for spectroscopic data analysis.

Earlier Perspective: A Community-Guided Path for SpectraGuru

This new research article builds upon our earlier survey and perspective conference paper entitled “SpectraGuru: A Community-Guided Path Toward Scalable Raman and SERS Analysis,” that introduced the vision behind SpectraGuru and discussed the broader need for scalable Raman data infrastructure.

In the perspective paper, we outlined the motivation for developing SpectraGuru as an open, community-driven platform for Raman and SERS data analysis. The article discusses challenges faced by researchers working with spectroscopic data, including:

• Lack of standardized preprocessing pipelines

• Difficulty reproducing published spectral analyses

• Fragmented spectral datasets across laboratories and instruments

• Limited accessibility of advanced chemometric and AI tools

The perspective article presents SpectraGuru as a scalable framework for collaborative spectral analysis, combining open workflows, standardized processing pipelines, and community data sharing.

Toward an Open Ecosystem for Spectroscopy Data Science

Together, these two publications represent important steps toward building an open ecosystem for Raman and SERS data science. While the perspective paper introduced the concept and vision of SpectraGuru, the new Analytical Chemistry publication demonstrates practical implementations and workflow strategies that enable reproducible spectral analysis.

Our group will continue developing SpectraGuru to support the growing needs of the spectroscopy community, including:

• Advanced spectral preprocessing and chemometric tools

• Machine-learning-enabled spectral analysis

• Community spectral databases and standardized metadata

• Web-based platforms for collaborative spectroscopy research

We hope these efforts will help foster a more transparent, reproducible, and data-driven future for Raman and SERS spectroscopy.

Paper Citation

Fengbo Ma, Jiaheng Cui, Amit Kumar, Yanjun Yang, Xianyan Chen, Yiping Zhao, “Comprehensive Open-Source Ecosystem for Raman and SERS Spectroscopy: Introducing SpectraGuru,” Analytical Chemistry (2026). DOI: 10.1021/acs.analchem.5c07799.