A dual-signal amplification strategy based on pump-free SERS microfluidic chip for rapid and ultrasensitive detection of non-small cell lung cancer-related circulating tumour DNA in mice serum

Cao, Xiaowei; Ge, Shengjie; Zhou, Xinyu; Mao, Yu; Sun, Yue; Lu, Wenbo; Ran, Menglin

doi:10.1016/j.bios.2022.114110

Cited by 22 publications

(10 citation statements)

References 37 publications

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“…This study provides a promising alternative tool for the dynamic monitoring of the ctDNA expression level, which is helpful for the clinical diagnosis of NSCLC. 224 Based on the PCR and SERS DNA mutation detection methods, in 49 patient samples, the mutation rate of the KRAS gene obtained by the PCR-SERS method was 28.6%, respectively. This method is a highly sensitive multiple mutation detection method, which can be used for clinical mutation screening.…”

Section: Opticsmentioning

confidence: 97%

“…(A) Schematic illustration of the sequential process for DNA methylation detection, 223 Copyright 2020 The Author(s). (B) SERS detection of BRAF V600E and KRAS G12V based on the proposed pump-free SERS microfluidic chip with CHA amplification, 224 Copyright 2022 Elsevier. (C) Schematic illustration of the biosensor for the detection of p53 with HCR amplification, 137 Copyright 2022 Elsevier.…”

Section: Opticsmentioning

confidence: 99%

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Recent progress of biosensors for the detection of lung cancer markers

Chen

Weng

et al. 2023

J. Mater. Chem. B

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Section: Opticsmentioning

confidence: 97%

Section: Opticsmentioning

confidence: 99%

Recent progress of biosensors for the detection of lung cancer markers

Chen

Weng

et al. 2023

J. Mater. Chem. B

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“…Similar studies were carried out with a flexible filter paper substrate [ 112 ] and with different biomarkers [ 113 , 114 ]. They extended their studies with ctDNA as the biomarker, thus implying the versatility of SERS [ 115 ]. Similarly, miRNA has been used for the detection of lung cancer by using circular exponential amplification reaction (EXPAR)-based SERS [ 116 ].…”

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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“… 31 Au-Ag nanoshuttles (Au-Ag NSs) show promising prospects for practical detection. 32 , 33 Firstly, Au-AgNSs shell contributes to better chemical stability 34 and higher electric field enhancement at the “hot spots” compared to pure Au or Ag nanoparticles. 35 Secondly, Au-AgNSs are arrow-headed tips at both ends, which promote the formation of “hot spots.” 32 Moreover, Au-AgNSs have easy fabrication, low synthesis cost, and mild synthesis conditions.…”

Section: Introductionmentioning

confidence: 99%

Simple and Ultrasensitive Detection of Glioma-Related ctDNAs in Mice Serum by SERS-Based Catalytic Hairpin Assembly Signal Amplification Coupled with Magnetic Aggregation

Wang¹,

Yang²,

Cao³

et al. 2023

IJN

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Purpose Circulating tumor DNA (ctDNA) is more representative and accurate than biopsy and is also conducive to dynamic monitoring, facilitating accurate diagnosis and prognosis of glioma. Therefore, the present study aimed to establish and validate a novel amplified method for the detection of IDH1 R132H and BRAF V600E, which were associated with the genetic diagnosis of glioma. Patients and Methods A dual-signal amplification method based on magnetic aggregation and catalytic hairpin assembly (CHA) was constructed for the simultaneous detection of ctDNAs. When target ctDNAs are present, the CHA reaction is initiated and leads to the assembly of Au-Ag nanoshuttles (Au-Ag NSs) onto magnetic beads (MBs). Further enrichment of MBs under an external magnetic field facilitated the dual-signal amplification of SERS. Results The limit of detection (LOD) for IDH1 R132H and BRAF V600E in serum was as low as 6.01 aM and 5.48 aM. The reproducibility and selectivity of the proposed SERS analysis platform was satisfactory. Finally, the platform was applied to quantify IDH1 R132H and BRAF V600E in the serum of subcutaneous-tumor‑bearing nude mice, and the results obtained by SERS were consistent with those from quantitative real-time polymerase chain reaction (qRT-PCR). Conclusion The present study showed that the dual-signal amplification method is a simple and ultrasensitive strategy for gliomas-associated ctDNAs detection, which is crucial for early diagnosis and dynamic monitoring.

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A dual-signal amplification strategy based on pump-free SERS microfluidic chip for rapid and ultrasensitive detection of non-small cell lung cancer-related circulating tumour DNA in mice serum

Cited by 22 publications

References 37 publications

Recent progress of biosensors for the detection of lung cancer markers

Recent progress of biosensors for the detection of lung cancer markers

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

Simple and Ultrasensitive Detection of Glioma-Related ctDNAs in Mice Serum by SERS-Based Catalytic Hairpin Assembly Signal Amplification Coupled with Magnetic Aggregation

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