Rapid and sensitive detection of dual lung cancer-associated miRNA biomarkers by a novel SERS-LFA strip coupling with catalytic hairpin assembly signal amplification

Abstract

A novel surface-enhanced Raman scattering (SERS)-lateral flow assay (LFA) biosensor in combination with catalytic hairpin assembly (CHA) signal amplification has been developed for analysis of miR-196a-5p and miR-31-5p associated with...

Recent advances of Au@Ag core–shell SERS‐based biosensors

“…Au-Ag NPs MPBN -0.15 pM [218] miR-196a-5p and miR-31-5p Au-AgNSs@4-ATP and Au-AgNSs@DTNB 4-ATP, DTNB -1.171 and 2.251 nM in Phosphate buffer and 1.681 and 2.603 nM in human serum for miR-196a-5p, and miR-31-5p respectively [156] Chloramphenicol (CAP), thiamphenicol (TAP), and florfenicol (FFC) core-shell Au@Ag NPs 4-MBA -0.36 ng/ml for CAP, 0.20 ng/ml for TAP, and 0.78 ng/ml for FFC [157] E. coli O157:H7 Au@DTNB@AgDTNB DTNB -6.94 × 10 1 CFU/ml [155] Methylamphetamine Au@Ag core-shell nanoparticles 4-MBA 0.5 ppb-40 ppb 0.16 ppb [229] 2,4-dichlorophenoxyacetic acid (2,4-D)…”

“…This biosensing platform provided fast, ultrasensitive, highly specific, and simultaneous detection of both lung cancer biomarkers: miR-196a-5p and miR-31-5p, with a LOD of 1.171 and 2.251 nM in phosphate buffer, and 1.681 and 2.603 nM in blood, respectively. [156] Recently, a novel SERS-LFA approach for the detection of chloramphenicol antibiotics (CAPs) has been published, in which core-shell Au@Ag NPs modified with an antibody were utilized for the fabrication of SERS nanotags. By using this strip based on above mentioned approach, the highly sensitive and efficient quantification analysis of CAP of 36 ng/ml, thiamphenicol (TAP) of 0.20 ng/ml, and florfenicol (FFC) of 0.78 ng/ml were achieved at their LOD.…”

Rapid and sensitive detection of Hg2+ with a SERS-enhanced lateral flow strip

“…Meanwhile, the superiority of such a non-destructive model also further promotes its wide application in the field of onsite detection. For the integration of SERS with LFS, some pioneering work was earlier reported in disease diagnosis, 32,33 drug seizers, 34 and food safety. 35,36 Unfortunately, most of the previous SERS-LFS methods highly relied on the use of an antibody as the recognition molecule for protein, 37 pathogenic bacterium, 38 viruses, 39 and some chemical component toxins, 40 which is not good for the SERS measurement.…”

High-Throughput Recognition of Tumor Cells Using Label-Free Elemental Characteristics Based on Interpretable Deep Learning

“…Other technologies, including fluorescence immunosensors, biosensors based on surface-enhanced Raman spectroscopy, and inductively coupled plasma mass spectrometry with elemental tags, employ reporter molecules with specific capturers targeted to biomarkers of cancer cells and have outstanding sensitivity. However, those labeling methods require different antibodies or aptamers for various biomarkers with complicated synthesis processes that are time-consuming and expensive. − …”