Label-Free SERS Analysis of Urine Using a 3D-Stacked AgNW-Glass Fiber Filter Sensor for the Diagnosis of Pancreatic Cancer and Prostate Cancer

Phyo, Jung Bin; Woo, Ayoung; Yu, Ho Jae; Lim, Kyongmook; Cho, Baek Hwan; Jung, Ho Sang; Lee, Min Young

doi:10.1021/acs.analchem.0c04200

Cited by 53 publications

(44 citation statements)

References 44 publications

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“… 209 By applying PCA, one may discover hidden patterns in the original data with minimal intervention (see Figure 6 a). 210 − 213 However, as long as labeled data are available, which is often the case in normal and altered conditions (e.g., classification of healthy vs cancer cells), a supervised algorithm would be more reliable in SERS analysis. Indeed, the separation of classes is not a trivial task because even spectra from the same class may vary significantly, for example, one single metabolite might exhibit different spectra depending on its molecular orientation on the SERS substrate.…”

Section: Hitting the Target With The Aid Of Artificial Intelligencementioning

confidence: 99%

Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine

et al. 2022

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Future precision medicine will be undoubtedly sustained by the detection of validated biomarkers that enable a precise classification of patients based on their predicted disease risk, prognosis, and response to a specific treatment. Up to now, genomics, transcriptomics, and immunohistochemistry have been the main clinically amenable tools at hand for identifying key diagnostic, prognostic, and predictive biomarkers. However, other molecular strategies, including metabolomics, are still in their infancy and require the development of new biomarker detection technologies, toward routine implementation into clinical diagnosis. In this context, surface-enhanced Raman scattering (SERS) spectroscopy has been recognized as a promising technology for clinical monitoring thanks to its high sensitivity and label-free operation, which should help accelerate the discovery of biomarkers and their corresponding screening in a simpler, faster, and less-expensive manner. Many studies have demonstrated the excellent performance of SERS in biomedical applications. However, such studies have also revealed several variables that should be considered for accurate SERS monitoring, in particular, when the signal is collected from biological sources (tissues, cells or biofluids). This Perspective is aimed at piecing together the puzzle of SERS in biomarker monitoring, with a view on future challenges and implications. We address the most relevant requirements of plasmonic substrates for biomedical applications, as well as the implementation of tools from artificial intelligence or biotechnology to guide the development of highly versatile sensors.

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Section: Hitting the Target With The Aid Of Artificial Intelligencementioning

confidence: 99%

Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine

et al. 2022

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“…(C) PCA for metabolites in the urine of normal, pancreatic cancer, and prostate cancer patients based on the AgNW-GFF sensor (Reproduced with permission from Ref. [ 105 ]. Copyright 2021, American Chemical Society.).…”

Section: Sers Detection Towards Metabolites In Biofluids and Tissuesmentioning

confidence: 99%

“…For the diagnosis of pancreatic cancer and prostate cancer, the stacked Ag nanowires on glass fiber filters have been proved to be useful ( Fig. 4 D) [ 105 ]. In this work, calcium ions were added to enhance the absorption of metabolites to Ag nanowires.…”

Section: Sers Detection Towards Metabolites In Biofluids and Tissuesmentioning

confidence: 99%

Human metabolite detection by surface-enhanced Raman spectroscopy

Liu

2022

Materials Today Bio

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Metabolites are important biomarkers in human body fluids, conveying direct information of cellular activities and physical conditions. Metabolite detection has long been a research hotspot in the field of biology and medicine. Surface-enhanced Raman spectroscopy (SERS), based on the molecular “fingerprint” of Raman spectrum and the enormous signal enhancement (down to a single-molecule level) by plasmonic nanomaterials, has proven to be a novel and powerful tool for metabolite detection. SERS provides favorable properties such as ultra-sensitive, label-free, rapid, specific, and non-destructive detection processes. In this review, we summarized the progress in recent 10 years on SERS-based sensing of endogenous metabolites at the cellular level, in tissues, and in biofluids, as well as drug metabolites in biofluids. We made detailed discussions on the challenges and optimization methods of SERS technique in metabolite detection. The combination of SERS with modern biomedical technology were also anticipated.

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“…[1][2][3][4][5][6] The practical ability of SERS to amplify Raman signals via localized surface plasmon coupling on nanostructured metals has rendered the technique attractive for the detection of various chemicals [7][8][9][10][11] and biomolecules. [12][13][14] Despite the remarkable sensitivity of SERS, the selective detection of small molecules in the presence of interferents, such as proteins, lipids, and colloids, remains an important challenge. [15][16][17][18] In complex matrices (e.g., biological fluids or foods), metal surfaces are prone to fouling via the nonspecific adsorption of macromolecules, which inhibits the access of target molecules to SERS-active nanogaps among metallic nanostructures.…”

Section: Introductionmentioning

confidence: 99%

In Situ Electrodeposition of Gold Nanostructures in 3D Ultra‐Thin Hydrogel Skins for Direct Molecular Detection in Complex Mixtures with High Sensitivity

Ansah

Kim

Yang

et al. 2021

Laser & Photonics Reviews

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Surface-enhanced Raman spectroscopy (SERS) based on nanostructured metals has promise as a nondestructive tool for sensitive molecular detection. However, metal surfaces are prone to fouling by the nonspecific adsorption of macromolecules, which limits the selective detection of small molecules in complex fluids. Therefore, samples must be purified and enriched before Raman analysis, which makes on-site detection difficult. In the present work, Au nanopillar arrays are encapsulated with ultra-thin hydrogel skins to protect the metal surfaces against macromolecular interferents while selectively allowing the infusion of small target molecules. In addition, densely packed Au nanostructures are produced in situ in the 3D mesh of the hydrogel skin via electrodeposition, which effectively captures targets into dense plasmonic nanogaps, providing rapid and ultrasensitive molecular detection. The synergistic influence of the size-selective permeability of the hydrogel skin and the in situ formation of hotspots enables the direct, highly sensitive detection of pyocyanin dissolved in an aqueous solution of bovine serum albumin and human serum. It is believed that the new nanocomposite materials and techniques will enable rapid and affordable SERS-based on-site analysis and point-of-care testing.

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Label-Free SERS Analysis of Urine Using a 3D-Stacked AgNW-Glass Fiber Filter Sensor for the Diagnosis of Pancreatic Cancer and Prostate Cancer

Cited by 53 publications

References 44 publications

Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine

Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine

Human metabolite detection by surface-enhanced Raman spectroscopy

In Situ Electrodeposition of Gold Nanostructures in 3D Ultra‐Thin Hydrogel Skins for Direct Molecular Detection in Complex Mixtures with High Sensitivity

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