A new SERS strategy for quantitative analysis of trace microalbuminuria based on immunorecognition and graphene oxide nanoribbon catalysis

Wen, Guiqing; Qi, Jing; Liang, Aihui; Jiang, Zhiliang

doi:10.2147/ijn.s174765

Cited by 13 publications

(5 citation statements)

References 35 publications

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“…Research in the last decades has published several methods based on RS and SERS for the detection of urinary renal biomarkers, including urea peaks at 1004 cm −1 (symmetrical CN stretch) and 1161 cm −1 (attributed to NH 2 modes), creatinine peaks at 608 cm −1 (NCH 3 stretching, CO deformation and ring vibrations), 680 cm −1 (CNH 2 and CO stretching, ring vibrations), 846 cm −1 (CNH 2 deformation and ring vibrations), and 910 cm −1 (C–C–N stretching), glucose peak at 1128 cm −1 (C–O stretching), and protein peaks at 600, 850, 1060, and 1470 cm −1 (disulfide bonds, tyrosine, C–N bonds, and CH 2 and CH 3 angle bending) [ 23 , 24 , 25 , 26 ]. An overview of the most important findings of these studies is presented in Table 1 [ 11 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 ]. The applications of RS for the identification of uropathogens, urine crystals, and kidney stones are not included in this review.…”

Section: Raman Spectroscopy: a Novel Tool To Detect Renal Biomarkers?mentioning

confidence: 99%

The Potential Applications of Raman Spectroscopy in Kidney Diseases

Delrue

Speeckaert

2022

JPM

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Raman spectroscopy (RS) is a spectroscopic technique based on the inelastic interaction of incident electromagnetic radiation (from a laser beam) with a polarizable molecule, which, when scattered, carries information from molecular vibrational energy (the Raman effect). RS detects biochemical changes in biological samples at the molecular level, making it an effective analytical technique for disease diagnosis and prognosis. It outperforms conventional sample preservation techniques by requiring no chemical reagents, reducing analysis time even at low concentrations, and working in the presence of interfering agents or solvents. Because routinely utilized biomarkers for kidney disease have limitations, there is considerable interest in the potential use of RS. RS may identify and quantify urinary and blood biochemical components, with results comparable to reference methods in nephrology.

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Section: Raman Spectroscopy: a Novel Tool To Detect Renal Biomarkers?mentioning

confidence: 99%

The Potential Applications of Raman Spectroscopy in Kidney Diseases

Delrue

Speeckaert

2022

JPM

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“…C=N and C=C stretching [40] Phenylalanine [34,35,41] Albumin [57] Urea [39] Tyrosine [41] Phenylalanine [41] C=N and C=C stretching 1675 1621-1745…”

Section: -702mentioning

confidence: 99%

“…Tryptophan [33][34][35] Creatinine [39,43,47,50] Albumin [38,42] Acetoacetate [39] Hydroxybutyrate [39] Glutamine [41] ketone bodies? 1598 1579-1615 C=N and C=C stretching [40] Phenylalanine [34,35,41] Albumin [57] Urea [39] Tyrosine [41] Phenylalanine [41] C=N and C=C stretching 1675 1621-1745…”

Section: -702mentioning

confidence: 99%

Label-Free SERS of Urine Components: A Powerful Tool for Discriminating Renal Cell Carcinoma through Multivariate Analysis and Machine Learning Techniques

Buhas,

Toma,

Beauval

et al. 2024

IJMS

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The advent of Surface-Enhanced Raman Scattering (SERS) has enabled the exploration and detection of small molecules, particularly in biological fluids such as serum, blood plasma, urine, saliva, and tears. SERS has been proposed as a simple diagnostic technique for various diseases, including cancer. Renal cell carcinoma (RCC) ranks as the sixth most commonly diagnosed cancer in men and is often asymptomatic, with detection occurring incidentally. The onset of symptoms typically aligns with advanced disease, aggressive histology, and unfavorable prognosis, and therefore new methods for an early diagnosis are needed. In this study, we investigated the utility of label-free SERS in urine, coupled with two multivariate analysis approaches: Principal Component Analysis combined with Linear Discriminant Analysis (PCA-LDA) and Support Vector Machine (SVM), to discriminate between 50 RCC patients and 44 healthy donors. Employing LDA-PCA, we achieved a discrimination accuracy of 100% using 13 principal components, and an 88% accuracy in discriminating between different RCC stages. The SVM approach yielded a training accuracy of 100%, a validation accuracy of 99% for discriminating between RCC and controls, and an 80% accuracy for discriminating between stages. The comparative analysis of raw and normalized SERS spectral data shows that while raw data disclose relative concentration variations in urine metabolites between the two classes, the normalization of spectral data significantly improves the accuracy of discrimination. Moreover, the selection of principal components with markedly distinct scores between the two classes serves to alleviate overfitting risks and reduces the number of components employed for discrimination. We obtained the accuracy of the discrimination between the RCC patients cases and healthy donors of 90% for three PCs and a linear discrimination function, and a 88% accuracy of discrimination between stages using six PCs, mitigating practically the risk of overfitting and increasing the robustness of our analysis. Our findings underscore the potential of label-free SERS of urine in conjunction with chemometrics for non-invasive and early RCC detection.

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“…Ag-functionalized graphene also showed the ability to detect galactin-3 biomarkers for heart failure and neurotransmitters from serum samples [245]. GNRs are able to detect microalbuminuria (mAlb) for the diagnosis and treatment of nephritis and hypoproteinemia [246]. Nitrogen-doped GNRs with an amine aptamer have been used for the detection of aflatoxin B1 [247].…”

Section: Biosensingmentioning

confidence: 99%

Applications of Pristine and Functionalized Carbon Nanotubes, Graphene, and Graphene Nanoribbons in Biomedicine

et al. 2021

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This review is dedicated to a comprehensive description of the latest achievements in the chemical functionalization routes and applications of carbon nanomaterials (CNMs), such as carbon nanotubes, graphene, and graphene nanoribbons. The review starts from the description of noncovalent and covalent exohedral modification approaches, as well as an endohedral functionalization method. After that, the methods to improve the functionalities of CNMs are highlighted. These methods include the functionalization for improving the hydrophilicity, biocompatibility, blood circulation time and tumor accumulation, and the cellular uptake and selectivity. The main part of this review includes the description of the applications of functionalized CNMs in bioimaging, drug delivery, and biosensors. Then, the toxicity studies of CNMs are highlighted. Finally, the further directions of the development of the field are presented.

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A new SERS strategy for quantitative analysis of trace microalbuminuria based on immunorecognition and graphene oxide nanoribbon catalysis

Cited by 13 publications

References 35 publications

The Potential Applications of Raman Spectroscopy in Kidney Diseases

The Potential Applications of Raman Spectroscopy in Kidney Diseases

Label-Free SERS of Urine Components: A Powerful Tool for Discriminating Renal Cell Carcinoma through Multivariate Analysis and Machine Learning Techniques

Applications of Pristine and Functionalized Carbon Nanotubes, Graphene, and Graphene Nanoribbons in Biomedicine

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