Chenxi Peng | Development of Chemometrics | Best Researcher Award

University of Barcelona, Spain

Chenxi Peng is a dedicated researcher currently pursuing his doctoral studies in Analytical Chemistry and the Environment at the University of Barcelona, where his work focuses on advancing chemometric methodologies and their applications to spectroscopy and imaging. He holds a master’s degree in Resource and Environmental Science from Wenzhou University, where he developed a strong foundation in analytical techniques and environmental research. His research expertise covers a broad range of spectroscopic approaches, including Raman, near-infrared, mid-infrared, and hyperspectral methods, with an emphasis on experimental design, spectral data acquisition, and advanced preprocessing techniques to improve data quality. He applies multivariate analysis tools such as multivariate curve resolution (MCR), partial least squares (PLS) and its extensions, Least Trimmed Squares (LTS), MacroPCA, and outlier detection algorithms, enabling precise quantitative analysis, feature identification, and band interpretation. His studies connect spectral features to chemical bonds and functional groups, particularly in biomedical and environmental diagnostics. Despite being in the early stages of his research career, Chenxi has already demonstrated measurable academic contributions, with 3 citations across 2 documents and an h-index of 1, reflecting both the relevance and growing recognition of his work. His commitment lies in integrating data-driven approaches with analytical sciences to address pressing biomedical and environmental challenges.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Peng, C., Huang, G., Chen, X., Xie, Z., Ali, S., Chen, X., Nie, H., Yang, Z., Zhu, L., … (2024). Identification of near‐infrared characteristic bands of small bowel necrosis based on cellwise detection algorithm. Journal of Biophotonics, 17(6), e202300438.

Li, J., Peng, C., Hou, Y., Huang, G., Zhang, L., Chen, X., Xie, Z., Ali, S., Zhu, L., … (2025). Identification of near‐infrared characteristic bands of small intestine necrosis based on least trimmed squares with regularization. Journal of Biophotonics, e70023.

Peng, C., Chen, X., Zhu, L., de Juan, A., & Tauler, R. (2025). Analysis of ischemic intestinal tissue composition based on visible and near-infrared reflectance hyperspectral imaging and multivariate curve resolution. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 126841.