Selective Surface Enhanced Raman Scattering for Quantitative Detection of Lung Cancer Biomarkers in Superparticle@MOF Structure
Abstract
Surface enhanced Raman scattering (SERS) is a trace detection technique that extends even to single molecule detection. Its potential application to the noninvasive recognition of lung malignancies by detecting volatile organic compounds (VOCs) that serve as biomarkers would be a breakthrough in early cancer diagnostics. This application, however, is currently limited by two main factors: (1) most VOC biomarkers exhibit only weak Raman scattering; and (2) the high mobility of gaseous molecules results in a low adsorptivity on solid substrates. To enhance the adsorption of gaseous molecules, a ZIF‐8 layer is coated onto a self‐assembly of gold superparticles (GSPs) in order to slow the flow rate of gaseous biomarkers and depress the exponential decay of the electromagnetic field around the GSP surfaces. Gaseous aldehydes that are released as a result of tumor‐specific tissue composition and metabolism, thereby acting as indicators of lung cancer, are guided onto SERS‐active GSPs substrates through a ZIF‐8 channel. Through a Schiff base reaction with 4‐aminothiophenol pregrafted onto gold GSPs, gaseous aldehydes are captured with a 10 ppb limit of detection, demonstrating tremendous prospects for in vitro diagnoses of early stage lung cancer.
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Combined with a machine learning algorithm, the MOF-based SERS platform can distinguish between lung cancer and healthy lung breath, and can be used as an in vitro diagnostic tool for early-stage lung cancer.
“Combined with a machine learning algorithm, the platform can distinguish between lung cancer and healthy lung breath (Fig. 6c-iii, iv, v), which can be used as an in vitro diagnostic tool for early-stage lung cancer.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Qiao et al. 2018
A MOF-based SERS platform using a ZIF-8 layer on gold super-particles detected gaseous aldehydes with a detection limit of 10 ppb.
“The gaseous aldehydes are then captured through a Schiff base reaction with 4-aminothiophenol pregrafted onto gold GSPs, resulting in a detection limit of 10 ppb.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Qiao et al. 2018
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- Authors
- Qiao, X., Su, B., Liu, C., Song, Q., Luo, D., Mo, G., & Wang, T.
- Affiliations
- Chinese Academy of Sciences (CN)
- Beijing University of Chemical Technology (CN)
- Corresponding author
- Wang, Tie
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-12-11
- Volume
- 30
- Issue
- 5
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2771902832
- Cited by
- 469
- References
- 50
- Citations by year
- 2026: 44 · 2025: 67 · 2024: 66 · 2023: 66 · 2022: 64 · 2021: 69 · 2020: 47 · 2019: 32 · 2018: 13
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Materials (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (21422507, 21635002, 21321003)
- Topics
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Gas Sensing Nanomaterials and Sensors
- Keywords
- surface-enhanced Raman scattering, lung cancer, volatile organic compounds, gas sensing, ZIF-8, metal-organic frameworks, aldehyde detection, 4-aminothiophenol, Schiff base, early cancer detection, non-invasive diagnosis
- MeSH terms
- Gold, Spectrum Analysis, Raman, Biomarkers, Tumor, Nanotechnology, Metal Nanoparticles
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