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Project Publications: Baylor College of Medicine: Streamlined Identification of PAHs/PACs in Environmental Samples Using Ultracompact Spectroscopy Platforms and Machine Learning Strategies

Superfund Research Program

Streamlined Identification of PAHs/PACs in Environmental Samples Using Ultracompact Spectroscopy Platforms and Machine Learning Strategies

Project Leader: Naomi Halas (Rice University)
Co-Investigators: Peter Nordlander (Rice University), Ankit B. Patel
Grant Number: P42ES027725
Funding Period: 2020-2025
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

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Publications

2023

  • Ju Y, Neumann O, Bajomo MM, Zhao Y, Nordlander P, Halas N, Patel AB. 2023. Identifying surface-enhanced Raman spectra with a Raman library using machine learning. ACS Nano 17(21):21251-21261. doi:10.1021/acsnano.3c05510 PMID:37910670
  • Sánchez-Alvarado A, Zhou J, Jin P, Neumann O, Senftle TP, Nordlander P, Halas N. 2023. Combined surface-enhanced raman and infrared absorption spectroscopies for streamlined chemical detection of polycyclic aromatic hydrocarbon-derived compounds. ACS Nano 17(24):25697-25706. doi:10.1021/acsnano.3c10746 PMID:38063501

2022

  • Bajomo MM, Ju Y, Zhou J, Elefterescu S, Farr C, Zhao Y, Neumann O, Nordlander P, Patel AB, Halas N. 2022. Computational chromatography: a machine learning strategy for demixing individual chemical components in complex mixtures. Proc Natl Acad Sci U S A 119(52):e2211406119. doi:10.1073/pnas.2211406119 PMID:36534806
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