Morphology-Correlated Quantitative SERS Sensing on Diatom Photonic Crystals

We developed a quantitative SERS sensing approach by exploiting the morphology feature of diatom photonic crystal frustules. Combining with an efficient inkjet dispensing technique, we applied machine learning analysis to achieve trace-level chemical detection.

Authors

Alan X. Wang (ORCID: https://orcid.org/0000-0002-0553-498X)
Subhavna Juneja (ORCID: https://orcid.org/0000-0001-7261-1781)
Rong Kang (ORCID: https://orcid.org/0000-0001-5998-492X)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.1364/cleo_si.2025.ss112_2
Primary Topic: Diatoms and Algae Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Morphology-Correlated Quantitative SERS Sensing on Diatom Photonic Crystals

Alan X. Wang, Subhavna Juneja, Rong Kang

Jan 1, 2025

Diatoms and Algae Research

article

Morphology-Correlated Quantitative SERS Sensing on Diatom Photonic Crystals

Alan X. Wang, Subhavna Juneja, Rong Kang

January 1, 2025article en

Abstract

Openalex Percentile: Top 84%

Diatoms and Algae Research

DOI Source OpenAlex

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Morphology-Correlated Quantitative SERS Sensing on Diatom Photonic Crystals — Alan X. Wang, Subhavna Juneja, et al. · (2025) | TGRS Research Map | TGRS