Paper-Based Surface-Enhanced Raman Spectroscopy for Diagnosing Prenatal Diseases in Women

Kim, Wansun; Lee, Soo Hyun; Kim, Jin Hwi; Ahn, Youngjun; Kim, Yeon-Hee; Yu, Jae Su; Choi, Samjin

doi:10.1021/acsnano.8b02917

Cited by 107 publications

(68 citation statements)

References 61 publications

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“…b) Gold nanoparticle–decorated ZnO nanorods grown on cellulose paper for SERS analyses of amniotic fluids to detect prenatal diseases. Reproduced with permission . Copyright 2018, American Chemical Society.…”

Section: Engineering Cutting‐edge Plasmonic Nanomaterials For Sersmentioning

confidence: 99%

Engineering State‐of‐the‐Art Plasmonic Nanomaterials for SERS‐Based Clinical Liquid Biopsy Applications

et al. 2019

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Precision oncology, defined as the use of the molecular understanding of cancer to implement personalized patient treatment, is currently at the heart of revolutionizing oncology practice. Due to the need for repeated molecular tumor analyses in facilitating precision oncology, liquid biopsies, which involve the detection of noninvasive cancer biomarkers in circulation, may be a critical key. Yet, existing liquid biopsy analysis technologies are still undergoing an evolution to address the challenges of analyzing trace quantities of circulating tumor biomarkers reliably and cost effectively. Consequently, the recent emergence of cutting-edge plasmonic nanomaterials represents a paradigm shift in harnessing the unique merits of surface-enhanced Raman scattering (SERS) biosensing platforms for clinical liquid biopsy applications. Herein, an expansive review on the design/synthesis of a new generation of diverse plasmonic nanomaterials, and an updated evaluation of their demonstrated SERS-based uses in liquid biopsies, such as circulating tumor cells, tumor-derived extracellular vesicles, as well as circulating cancer proteins, and tumor nucleic acids is presented. Existing challenges impeding the clinical translation of plasmonic nanomaterials for SERS-based liquid biopsy applications are also identified, and outlooks and insights into advancing this rapidly growing field for practical patient use are provided.

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Section: Engineering Cutting‐edge Plasmonic Nanomaterials For Sersmentioning

confidence: 99%

Engineering State‐of‐the‐Art Plasmonic Nanomaterials for SERS‐Based Clinical Liquid Biopsy Applications

et al. 2019

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“…However, for cases of small sample sizes, nonlinear and high dimension spectral data, PCA or LDA may lead to loss of information in data . Without discarding data, support‐vector machine (SVM) method provides excellent classification performance in the analysis for SERS spectra of biomaterials .…”

Section: Introductionmentioning

confidence: 99%

Label‐free diagnosis for colorectal cancer through coffee ring‐assisted surface‐enhanced Raman spectroscopy on blood serum

Yan

Huang

et al. 2020

Journal of Biophotonics

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Surface-enhanced Raman spectroscopy (SERS) is garnering considerable attention for the swift diagnosis of pathogens and abnormal biological status, that is, cancers. In this work, a simple, fast and inexpensive optical sensing platform is developed by the design of SERS sampling and data analysis. The pretreatment of spectral measurement employed gold nanoparticle colloid mixing with the serum from patients with colorectal cancer (CRC). The droplet of particle-serum mixture formed coffee-ring-like region at the rim, providing strong and stable SERS profiles. The obtained spectra from cancer patients and healthy volunteers were analyzed by unsupervised principal component analysis (PCA) and supervised machine learning model, such as support-vector machine (SVM), respectively. The results demonstrate that the SVM model provides the superior performance in the classification of CRC diagnosis compared with PCA. In addition, the values of carcinoembryonic antigen from the blood samples were compiled with the corresponding SERS spectra for SVM calculation, yielding improved prediction results. K E Y W O R D S colorectal cancer diagnosis, label-free detection, machine learning, nanoparticles, SERS

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“…Recently, flexible SERS substrates, such as sponge, adhesive tape, polydimethylsiloxane, quartz fabric, and papers, have attracted much attention, and much effort has been made to expand their range of applications. For example, PNPs synthesized on the sponge and used for the trace detection of thiram, malachite green, and adhesive tape were modified with PNPs to prepare simple and cost‐effective SERS substrates for detecting pesticide residues on vegetable and fruit surfaces, and paper‐based SERS substrates have been manufactured and used for the detection of bacteria and pathogens …”

Section: Introductionmentioning

confidence: 99%

Printer‐assisted array flexible surface‐enhanced Raman spectroscopy chip preparation for rapid and label‐free detection of bacteria

Yang

Chen

Danyang

et al. 2020

J Raman Spectroscopy

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A low‐cost array flexible surface‐enhanced Raman spectroscopy (SERS) chip was proposed with the aim of rapid detection of bacteria. The substrate of the chip was Al foil, and the detection area arrays were printed using a laser toner. Colloidal silver nanoparticles (AgNPs) were dropped onto the detection area, with the AgNPs droplets confined within the detection area by the hydrophobic properties of the toner film. The colloidal AgNPs were dried naturally to form a SERS active chip. An A4 paper‐based SERS chip was prepared using the same method for control experiments. The surface morphology of the chip was characterized by field emission scanning electron microscopy. In addition, comparison experiments were performed on the two SERS chips. The results showed that both SERS chips exhibited the best SERS enhancement when the AgNPs were added four times. The calculation of Rhodamine 6G at the 612 cm−1 peak showed that the EF of the A4 paper‐based chip and the Al foil‐based chip were 6.72 × 107 and 1.03 × 108, respectively. SERS mapping results showed that the Al foil‐based chip had much higher signal homogeneity than that of A4 paper‐based chip. Lastly, the Al foil‐based chip was used for bacterial detection. For Escherichia coli and Staphylococcus aureus, the limit of detection was 1,000 and 100 cfu/ml, and the relative standard deviation of 36 randomly selected detection points were 12.5% and 11.7%, respectively. The entire detection process was completed in a few minutes. The SERS chip has the advantages of low cost, simple manufacturing process, and short detection time; is capable of high throughput and multi‐parameter detection; and is expected to provide a rapid and effective detection method for bacteria.

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Paper-Based Surface-Enhanced Raman Spectroscopy for Diagnosing Prenatal Diseases in Women

Cited by 107 publications

References 61 publications

Engineering State‐of‐the‐Art Plasmonic Nanomaterials for SERS‐Based Clinical Liquid Biopsy Applications

Engineering State‐of‐the‐Art Plasmonic Nanomaterials for SERS‐Based Clinical Liquid Biopsy Applications

Label‐free diagnosis for colorectal cancer through coffee ring‐assisted surface‐enhanced Raman spectroscopy on blood serum

Printer‐assisted array flexible surface‐enhanced Raman spectroscopy chip preparation for rapid and label‐free detection of bacteria

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