2023
DOI: 10.1021/acsami.3c05039
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Absolute Quantification of Serum Exosomes in Patients with an SERS-Lateral Flow Strip Biosensor for Noninvasive Clinical Cancer Diagnosis

Abstract: Exosomes (exos) widely existing in body fluids show great potential for noninvasive cancer diagnosis. Quantitative analysis of exos is traditionally performed by targeting specific exosomal surface proteins, but it is often imprecise due to the common expression of exosomal proteins and subtle expression differences between different cancer subtypes. Herein, we report quantitative surface-enhanced Raman spectroscopy (SERS) of serum exos through a combination of a paper-based lateral flow strip (LFS) biosensor … Show more

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Cited by 12 publications
(8 citation statements)
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“…[63,64] Overall, SERS presents many prominent features for biosensing and bioimaging: i) SERS is able to perform label-free or label-based quantitative analysis with ultrahigh sensitivity even down to single molecule level; ii) SERS spectra enrich abundant molecular fingerprint information characteristic of biological systems or events; iii) SERS is resistant to photobleaching and photodegradation so that the SERS detection is suitable for longitudinal long-term monitoring, much superior to fluorescence; iv) The spectral bandwidth of the SERS bands is usually 10-100 times narrower than that of fluorescence emission from organic dyes, inorganic nanocrystals or quantum dots so that the SERS techniques allow for convenient multiplex detection with a single wavelength excitation; v) SERS-active nanostructures can be easily designed by tailoring the particle size, shape, and surface chemistry for different purposes. These unique features have enabled SERS for a wide range of biomedical applications, including in vitro and in vivo biosensing, [65][66][67][68][69][70] multimodal image-guided therapy, [71][72][73] SERS-guided surgical navigation with precise delineation of tumor margins and intraoperative removal of microscopic tumor foci. [73][74][75][76]…”
Section: Surface-enhanced Raman Scatteringmentioning
confidence: 99%
“…[63,64] Overall, SERS presents many prominent features for biosensing and bioimaging: i) SERS is able to perform label-free or label-based quantitative analysis with ultrahigh sensitivity even down to single molecule level; ii) SERS spectra enrich abundant molecular fingerprint information characteristic of biological systems or events; iii) SERS is resistant to photobleaching and photodegradation so that the SERS detection is suitable for longitudinal long-term monitoring, much superior to fluorescence; iv) The spectral bandwidth of the SERS bands is usually 10-100 times narrower than that of fluorescence emission from organic dyes, inorganic nanocrystals or quantum dots so that the SERS techniques allow for convenient multiplex detection with a single wavelength excitation; v) SERS-active nanostructures can be easily designed by tailoring the particle size, shape, and surface chemistry for different purposes. These unique features have enabled SERS for a wide range of biomedical applications, including in vitro and in vivo biosensing, [65][66][67][68][69][70] multimodal image-guided therapy, [71][72][73] SERS-guided surgical navigation with precise delineation of tumor margins and intraoperative removal of microscopic tumor foci. [73][74][75][76]…”
Section: Surface-enhanced Raman Scatteringmentioning
confidence: 99%
“…Recently, Su et al . developed two types of paper-based devices for the quantification of breast cancer exosomes in serum: a 3-plex VFA and a 2-plex LFA [ 177 , 178 ]. These two platforms are vastly different, with distinct advantages and disadvantages.…”
Section: Paper-based Sers Assaymentioning
confidence: 99%
“…Su et al . ’s LFA sought to overcome this issue by integrating two spectrally different SERS probes made of AuSts coupled with distinct Raman reporters and aptamers against HER2 and MUC1 on the conjugate pad, while coating the test line with anti-CD63 aptamers [ 178 ]. Similar to Mao et al .…”
Section: Paper-based Sers Assaymentioning
confidence: 99%
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