Serum fingerprinting by slippery liquid-infused porous SERS for non-invasive lung cancer detection

Cai, Chenlei; Liu, Yujie; Li, Jiayu; Wang, Lei; Zhang, Kun

doi:10.1039/d2an01325h

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…This reactive molecule, as previously reported by us and others, ,, can selectively oxidize 3-MPBA to yield 3-HTP, causing an obvious change in the Raman signature (Scheme b). In the presence of a SLIPS substrate, the enzyme-powered cascade reaction can be characterized by mixing and depositing the reaction mixture with Au NPs on the SLIPS substrate, followed by measuring SERS spectra on the 3D NP aggregate formed through droplet evaporation. ,, This allows us to quantify the target metabolite by analyzing the intensity of characteristic vibrational peaks of the product 3-HTP (Scheme c).…”

Section: Resultsmentioning

confidence: 99%

“…When an aqueous droplet containing analytes and metallic NPs evaporates on SLIPS, abundant SERS hot spots are generated upon sample aggregation. − Since its development, SLIPSERS has been successfully leveraged to detect attomolar molecules from both aqueous and nonaqueous liquids , and to discriminate nucleic acids with single-base resolution . Recently, we have reported the direct SLIPSERS fingerprinting of blood serum for noninvasive lung cancer detection . Nevertheless, the incorporation of SLIPSERS into an enzyme-powered, activity-based targeted assay of disease-related metabolites in clinical samples has yet to be explored.…”

Section: Introductionmentioning

confidence: 99%

“…40 Recently, we have reported the direct SLIPSERS fingerprinting of blood serum for noninvasive lung cancer detection. 41 Nevertheless, the incorporation of SLIPSERS into an enzymepowered, activity-based targeted assay of disease-related metabolites in clinical samples has yet to be explored.…”

Section: Introductionmentioning

confidence: 99%

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Activity-Based Self-Enriched SERS Sensor for Blood Metabolite Monitoring

Cai

Liu

Zhang

et al. 2023

ACS Appl. Mater. Interfaces

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The monitoring of metabolites in biofluids provides critical clues for disease diagnosis and evaluation. Yet, the quantitative detection of metabolites remains challenging for surface-enhanced Raman spectroscopy (SERS) due to poor reproducibility in preparation and manipulation of SERS nanoprobes. Herein, we develop an activity-based, slippery liquid-infused porous surface SERS (abSLIPSERS) sensor for facile quantification of metabolites with unmodified naked metal nanoparticles (NPs) by integrating biocatalysis-boronate oxidation cascades with SLIPSdriven self-concentration and delivering. Upon mixing the target metabolite with a specific oxidase, a H 2 O 2 -sensitive phenylboronate probe, and the naked Au NPs, H 2 O 2 produced from the biocatalytic reaction oxidizes the phenylboronate probe to phenol, resulting in a ratiometric SERS response. Meanwhile, the SLIPS enables the complete enrichment of molecules and NPs within an evaporating liquid droplet, delivering the probes to the SERS-active sites for Raman amplification. Compared with conventional SERS biosensors, abSLIPSERS avoids multistep synthesis and biofunctionalization of nanoprobes, which significantly simplifies the detection workflow and improves the reproducibility. The abSLIPSERS sensor also shows tunable dynamic range beyond 4 orders of magnitude and allows quantifying any other metabolites with specific enzymes. We demonstrate abSLIPSERS sensing of lactate, glucose, and choline in human serum for exploring energy metabolism in lung cancer. This study opens up a new opportunity for future point-of-care testing of circulating metabolites by SERS and will help to facilitate the translation of SERS bioanalysis to clinical settings.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Activity-Based Self-Enriched SERS Sensor for Blood Metabolite Monitoring

Cai

Liu

Zhang

et al. 2023

ACS Appl. Mater. Interfaces

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“…Choosing aldehydes in exhaled breath as biomarkers, highly sensitive, portable detection was performed, achieving LOD of 1.35 nM [ 133 ]. Chemometric techniques coupled with slippery liquid-infused porous surface-enhanced Raman spectroscopy were used for concentrating blood samples in a small area and thus enhancing the SERS signal for trace detection [ 134 ]. A gap mode plasmonic SERS substrate with a combination of Ag nanocubes and Au nanorods was used for the identification of lung-cancer-related exosomes [ 135 ].…”

Section: Sers For Disease Diagnosismentioning

confidence: 99%

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

2023

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Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS’s full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.

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LC-MS/MS-assisted label-free SERS blood analysis by self-position plasmonic platform for tumor screening

Fan,

Peng,

Weng

et al. 2024

Chemical Engineering Journal

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Serum fingerprinting by slippery liquid-infused porous SERS for non-invasive lung cancer detection

Abstract: Lung cancer (LC) remains the most commonly diagnosed cancer. Timely diagnosis is crucial to improve the clinical outcomes of LC patients. Serum molecular patterns reflect the physiological and pathological status...

Cited by 5 publications

References 47 publications

Activity-Based Self-Enriched SERS Sensor for Blood Metabolite Monitoring

Activity-Based Self-Enriched SERS Sensor for Blood Metabolite Monitoring

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

LC-MS/MS-assisted label-free SERS blood analysis by self-position plasmonic platform for tumor screening

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