SERS-based boronate affinity biosensor with biomimetic specificity and versatility: Surface-imprinted magnetic polymers as recognition elements to detect glycoproteins

Hu, Cunming; Peng, Fei; Mi, Fang; Wang, Ying; Geng, Pengfei; Pang, Lin; Ma, Yuhua; Li, Guixin; Li, Yingjun; Guan, Ming

doi:10.1016/j.aca.2021.339289

Cited by 23 publications

(14 citation statements)

References 47 publications

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“…(d) Schematic showing the various assays used for the diagnosis of HIT. Adapted with permission from references, 132,135,137,138 copyrights 2017 Elsevier B.V., 2021 Elsevier B.V., 2018 Royal Society of Chemistry, 2020 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim.…”

Section: Sers Applications Based On Portable Raman Spectrometersmentioning

confidence: 99%

“…Biomarkers refer to biochemical indicators that can reflect the possible changes in organ, tissue, cell and subcellular structure or function or may change, such as nucleic acids, [132] proteins, [133,134] enzymes, [135,136] hormone, [137] active molecules, [138,139] and circulating cells found in the body, [47] etc. Biomarkers are often used for disease diagnosis and classification, to judge disease stage, development and severity, or to evaluate the safety and effectiveness of new clinical drugs or new treatments, as well as to predict individual disease risk and clinical screening of high-risk groups, etc.…”

Section: Determination Of Biomarkersmentioning

confidence: 99%

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Applications of surface‐enhanced Raman spectroscopy based on portable Raman spectrometers: A review of recent developments

Wang

Song

2022

Luminescence

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Recently, the surface‐enhanced Raman spectroscopy (SERS) technique emerges as a potential promising analytical tool for rapid, sensitive, and selective detection which can provide unique information about the substances in the presence of plasmonic nanostructures via finger‐printing SERS spectra. The progress in nanostructure SERS substrates and portable Raman spectrometers will promote this novel detection technique to play an important role in the future rapid on‐site assay. In this review, we summarized the latest research on SERS detection technique combined based on nanostructure SERS‐active substrates with portable Raman spectrometers and their potential on‐site detection applications in environment pollutants, agricultural pollutants, biomedical analysis, and other newly emerging fields (focusing particularly on the last 5 years of research). The future perspective of SERS for on‐site analysis is also discussed.

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Section: Sers Applications Based On Portable Raman Spectrometersmentioning

confidence: 99%

Section: Determination Of Biomarkersmentioning

confidence: 99%

Applications of surface‐enhanced Raman spectroscopy based on portable Raman spectrometers: A review of recent developments

Wang

Song

2022

Luminescence

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“…We modified nanopaper surface with two types of boronic acids, 4MBA and 1TBA, and evaluated their performance. 4MBA has been extensively used for glycan sensor developments 11–13, 16, 31 , but 1TBA has not been thoroughly investigated. Compared to 4MBA, 1TBA has two aromatic rings in its structure.…”

Section: Resultsmentioning

confidence: 99%

“…By designing intermolecular distances between boronic acid moieties, boronic acids could selectively bind to different types of glycans 14 . Researchers have used different types of boronic acids to detect sialic acids in cancer cells 11, 15 , glycoproteins in serum samples 16, 17 , and glycans on cell surfaces 18, 19 . In addition, boronic acid analogs are typically attached to aryl groups that can offer fluorescent signals and distinct Raman vibrations 20 .…”

Section: Introductionmentioning

confidence: 99%

Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms

Kuai

Park

et al. 2023

Preprint

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Glycans are the most abundant and diverse fundamental biomolecules. Profiling glycans is essential to elucidate biomolecular mechanisms and to predict biological consequences; however, the analysis of glycans remains challenging due to their structural complexity. A novel glycan detection platform is established through the integration of surface-enhanced Raman spectroscopy (SERS), boronic acid receptors, and machine learning tools. SERS is able to distinguish isomeric structures and provide fingerprint information of molecules. Boronic acid receptors can selectively bind with glycans, and the reaction influences molecular vibrations, leading to unique Raman spectral patterns. For proof-of-concept, two boronic acids, 4-mercaptophenylboronic acid (4MBA) and 1-thianthrenylboronic acid (1TBA) were used for glycan detection. The spectra were analyzed by the machine learning algorithm. The sensing platform successfully recognized the stereoisomers (glucose, mannose, and galactose), the structural isomers with α-1,4 and α-1,6 glycosidic linkages, and the β-1,4 glycosidic linkage within lactose molecules. The collective spectra that combine the spectra from both boronic acid receptors could improve the performance of the support vector machine model due to the enrichment of the structural information of glycans. In addition to qualitative analysis, this new sensor could quantify the mole fraction of sialic acid in lactose background using the machine learning regression technique. The quantification accuracy reached a coefficient of determination (R2) value of 0.998 and a normalized mean square error (NMSE) of 0.00195. This low-cost, rapid, and highly accessible sensor will provide the scientific community with another option for frequent glycan screening in standard biological laboratories.

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“…Although multiple bacteria can be distinguished by setting multiple antibodies on the different test lines (T-lines), the acquisition process is often relatively complicated and costly. At present, phenylboronic acid and its derivatives as the recognition units was an alternative approach for bacterial capture and detection, as they can covalently interact with cis-diol containing glycoproteins on the surface of bacteria, forming stable cyclic esters. , Wu et al successfully applied phenylboric acid to LFIA bacteria detection, which was meaningful for the progress of antibodies (Abs)-dependent LFIA . Despite this success, conventional colorimetric (CM)-based LFIA only by visual observation suffers from having low sensitivity and difficulty in quantitative detection.…”

Section: Introductionmentioning

confidence: 99%

Urchin-Shaped Au–Ag@Pt Sensor Integrated Lateral Flow Immunoassay for Multimodal Detection and Specific Discrimination of Clinical Multiple Bacterial Infections

et al. 2023

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A new lateral flow immunoassay strip (LFIA) combining sensitive detection and identification of multiple bacteria remains a huge challenge. In this study, we first developed multifunctional urchin-shaped Au−Ag@Pt nanoparticles (UAA@P NPs) with a unique combination of colorimetric-SERS-photothermal-catalytic (CM/SERS/PT/CL) properties and integrated them with LFIA for multiplexed detection and specific discrimination of pathogenic bacteria in blood samples. Unlike the conventional LFIA that relied on antibody (Ab), this novel LFIA introduced 4-mercaptophenylboronic acid (4-MPBA) as an ideal Ab replacer that was functionalized on UAA@P NPs (UAA@P/M NPs) with outstanding binding and enrichment capacities toward bacteria. Taking Staphylococcus aureus (S. aureus) as model bacteria, the limit of detection (LOD) was 3 CFU/mL for SERS-LFIA, 27 CFU/mL for PT-LFIA, and 18 CFU/mL for CL-LFIA, three of which were over 330-fold, 37-fold, and 55-fold more sensitive than ordinary visual CM-LFIA, respectively. Besides, this SERS-LFIA is capable of identifying three types of bacterial spiked blood samples (E. coli, S. aureus, and P. aeruginosa) effectively according to specific bacterial Raman "fingerprints" by partial least-squaresdiscriminant analysis (PLS-DA). More importantly, this LFIA was successfully applied to blood samples with satisfactory recoveries from 90.3% to 108.8% and capable of identifying the infected patients (N = 4) from healthy subjects (N = 2) with great accuracy. Overall, the multimodal LFIA incorporates bacteria discrimination and quantitative detection, offering an avenue for early warning and diagnosis of bacterial infection.

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SERS-based boronate affinity biosensor with biomimetic specificity and versatility: Surface-imprinted magnetic polymers as recognition elements to detect glycoproteins

Cited by 23 publications

References 47 publications

Applications of surface‐enhanced Raman spectroscopy based on portable Raman spectrometers: A review of recent developments

Applications of surface‐enhanced Raman spectroscopy based on portable Raman spectrometers: A review of recent developments

Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms

Urchin-Shaped Au–Ag@Pt Sensor Integrated Lateral Flow Immunoassay for Multimodal Detection and Specific Discrimination of Clinical Multiple Bacterial Infections

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