pH-Adjusted Liquid SERS Approach: Toward a Reliable Plasma-Based Early Stage Lung Cancer Detection

Surface-enhanced Raman spectroscopy (SERS) provides a rapid and nondestructive method for biological plasma analysis, offering unparalleled sensitivity and specificity. However, most current studies predominantly employ the drop-cast method, where liquid samples are dried on the SERS substrate for spectral recording. While effective, this method is both time-consuming and inconsistent. Additionally, the Raman spectral signal of uric acid in plasma often dominates, overshadowing other crucial biomarkers necessary for disease differentiation. In this study, we present the application of label-free SERS detection for distinguishing early stage lung cancer (LC) from healthy controls (HC) using plasma samples. Plasma was diluted, adjusted to a weakly acidic pH, and combined with silver nanoparticles (Ag NPs) for SERS analysis. To maintain the plasma in a liquid state and prevent evaporation, liquid paraffin was employed. Our findings indicate that a 10-fold dilution of plasma under weakly acidic conditions significantly enhanced diagnostic performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.975. This method is featured by its simplicity and high efficiency, presenting a promising strategy for the minimally invasive diagnosis of early stage LC using SERS technology.

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Publication Details

Journal
Analytical Chemistry
Published
2024-12-26
DOI
https://doi.org/10.1021/acs.analchem.4c04671
Citations
10
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
6.62

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article

pH-Adjusted Liquid SERS Approach: Toward a Reliable Plasma-Based Early Stage Lung Cancer Detection

Dechan Lu, Yudong Lu, Zufang Huang, Jingbo Chen
10 citations
Analytical Chemistry
Spectroscopy Techniques in Biomedical and Chemical Research
6.62
article

pH-Adjusted Liquid SERS Approach: Toward a Reliable Plasma-Based Early Stage Lung Cancer Detection

Dechan Lu, Yudong Lu, Zufang Huang, Jingbo Chen
article en
10 citations

Abstract

Surface-enhanced Raman spectroscopy (SERS) provides a rapid and nondestructive method for biological plasma analysis, offering unparalleled sensitivity and specificity. However, most current studies predominantly employ the drop-cast method, where liquid samples are dried on the SERS substrate for spectral recording. While effective, this method is both time-consuming and inconsistent. Additionally, the Raman spectral signal of uric acid in plasma often dominates, overshadowing other crucial biomarkers necessary for disease differentiation. In this study, we present the application of label-free SERS detection for distinguishing early stage lung cancer (LC) from healthy controls (HC) using plasma samples. Plasma was diluted, adjusted to a weakly acidic pH, and combined with silver nanoparticles (Ag NPs) for SERS analysis. To maintain the plasma in a liquid state and prevent evaporation, liquid paraffin was employed. Our findings indicate that a 10-fold dilution of plasma under weakly acidic conditions significantly enhanced diagnostic performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.975. This method is featured by its simplicity and high efficiency, presenting a promising strategy for the minimally invasive diagnosis of early stage LC using SERS technology.

Analytical ChemistryVol. 97(1)
Fujian Normal University (CN), Fujian Medical University (CN), Ingenierie des Materiaux polymeres (FR), Ministry of Education (PT), Fujian Provincial Hospital (CN), Putian University (CN), Fuzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Department of Education, Fujian Province, Putian University, Fujian Provincial Health Technology Project
Good health and well-being
Openalex Percentile: Top 4%
Spectroscopy Techniques in Biomedical and Chemical Research
6.62
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