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Geka G, Kanioura A, Likodimos V, Gardelis S, Papanikolaou N, Kakabakos S, Petrou P. SERS Immunosensors for Cancer Markers Detection. Materials (Basel) 2023; 16:3733. [PMID: 37241360 PMCID: PMC10221005 DOI: 10.3390/ma16103733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/05/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023]
Abstract
Early diagnosis and monitoring are essential for the effective treatment and survival of patients with different types of malignancy. To this end, the accurate and sensitive determination of substances in human biological fluids related to cancer diagnosis and/or prognosis, i.e., cancer biomarkers, is of ultimate importance. Advancements in the field of immunodetection and nanomaterials have enabled the application of new transduction approaches for the sensitive detection of single or multiple cancer biomarkers in biological fluids. Immunosensors based on surface-enhanced Raman spectroscopy (SERS) are examples where the special properties of nanostructured materials and immunoreagents are combined to develop analytical tools that hold promise for point-of-care applications. In this frame, the subject of this review article is to present the advancements made so far regarding the immunochemical determination of cancer biomarkers by SERS. Thus, after a short introduction about the principles of both immunoassays and SERS, an extended presentation of up-to-date works regarding both single and multi-analyte determination of cancer biomarkers is presented. Finally, future perspectives on the field of SERS immunosensors for cancer markers detection are briefly discussed.
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Affiliation(s)
- Georgia Geka
- Immunoassays/Immunosensors Lab, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, NCSR “Demokritos”, 15341 Aghia Paraskevi, Greece; (G.G.); (A.K.); (S.K.)
| | - Anastasia Kanioura
- Immunoassays/Immunosensors Lab, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, NCSR “Demokritos”, 15341 Aghia Paraskevi, Greece; (G.G.); (A.K.); (S.K.)
| | - Vlassis Likodimos
- Section of Condensed Matter Physics, Department of Physics, National and Kapodistrian University of Athens, University Campus, 15784 Athens, Greece; (V.L.); (S.G.)
| | - Spiros Gardelis
- Section of Condensed Matter Physics, Department of Physics, National and Kapodistrian University of Athens, University Campus, 15784 Athens, Greece; (V.L.); (S.G.)
| | - Nikolaos Papanikolaou
- Institute of Nanoscience & Nanotechnology, NCSR “Demokritos”, 15341 Aghia Paraskevi, Greece;
| | - Sotirios Kakabakos
- Immunoassays/Immunosensors Lab, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, NCSR “Demokritos”, 15341 Aghia Paraskevi, Greece; (G.G.); (A.K.); (S.K.)
| | - Panagiota Petrou
- Immunoassays/Immunosensors Lab, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, NCSR “Demokritos”, 15341 Aghia Paraskevi, Greece; (G.G.); (A.K.); (S.K.)
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2
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Teixeira A, Carreira L, Abalde-Cela S, Sampaio-Marques B, Areias AC, Ludovico P, Diéguez L. Current and Emerging Techniques for Diagnosis and MRD Detection in AML: A Comprehensive Narrative Review. Cancers (Basel) 2023; 15:cancers15051362. [PMID: 36900154 PMCID: PMC10000116 DOI: 10.3390/cancers15051362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/06/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Acute myeloid leukemia (AML) comprises a group of hematologic neoplasms characterized by abnormal differentiation and proliferation of myeloid progenitor cells. AML is associated with poor outcome due to the lack of efficient therapies and early diagnostic tools. The current gold standard diagnostic tools are based on bone marrow biopsy. These biopsies, apart from being very invasive, painful, and costly, have low sensitivity. Despite the progress uncovering the molecular pathogenesis of AML, the development of novel detection strategies is still poorly explored. This is particularly important for patients that check the criteria for complete remission after treatment, since they can relapse through the persistence of some leukemic stem cells. This condition, recently named as measurable residual disease (MRD), has severe consequences for disease progression. Hence, an early and accurate diagnosis of MRD would allow an appropriate therapy to be tailored, improving a patient's prognosis. Many novel techniques with high potential in disease prevention and early detection are being explored. Among them, microfluidics has flourished in recent years due to its ability at processing complex samples as well as its demonstrated capacity to isolate rare cells from biological fluids. In parallel, surface-enhanced Raman scattering (SERS) spectroscopy has shown outstanding sensitivity and capability for multiplex quantitative detection of disease biomarkers. Together, these technologies can allow early and cost-effective disease detection as well as contribute to monitoring the efficiency of treatments. In this review, we aim to provide a comprehensive overview of AML disease, the conventional techniques currently used for its diagnosis, classification (recently updated in September 2022), and treatment selection, and we also aim to present how novel technologies can be applied to improve the detection and monitoring of MRD.
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Affiliation(s)
- Alexandra Teixeira
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Luís Carreira
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
| | - Sara Abalde-Cela
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
| | - Belém Sampaio-Marques
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Anabela C. Areias
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
| | - Paula Ludovico
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s–PT Government Associate Laboratory, 4710-057 Braga, Portugal
- Correspondence: (P.L.); (L.D.)
| | - Lorena Diéguez
- International Iberian Nanotechnology Laboratory (INL), Avda Mestre José Veiga, 4715-310 Braga, Portugal
- Correspondence: (P.L.); (L.D.)
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Gong T, Das CM, Yin MJ, Lv TR, Singh NM, Soehartono AM, Singh G, An QF, Yong KT. Development of SERS tags for human diseases screening and detection. Coord Chem Rev 2022. [DOI: 10.1016/j.ccr.2022.214711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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4
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Duan Z, Chen Y, Ye M, Xiao L, Chen Y, Cao Y, Peng Y, Zhang J, Zhang Y, Yang T, Liu W, Feng S, Hu J. Differentiation and prognostic stratification of acute myeloid leukemia by serum-based spectroscopy coupling with metabolic fingerprints. FASEB J 2022; 36:e22416. [PMID: 35713583 DOI: 10.1096/fj.202200487r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/26/2022] [Accepted: 06/06/2022] [Indexed: 11/11/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous disease characterized by complex molecular and cytogenetic abnormalities. New approaches to predict the prognosis of AML have increasingly attracted attention. There were 98 non-M3 AML cases and 48 healthy controls were enrolled in the current work. Clinically routine assays for cytogenetic and molecular genetic analyses were performed on the bone marrow samples of patients with AML. Meanwhile, metabolic profiling of these AML subjects was also performed on the serum samples by combining Ag nanoparticle-based surface-enhanced Raman spectroscopy (SERS) with proton nuclear magnetic resonance (NMR) spectroscopy. Although most of the routine biochemical test showed no significant differences between the M0-M2 and M5 groups, the metabolic profiles were significantly different either between AML subtypes or between prognostic risk subgroups. Specific SERS bands were screened to serve as potential markers for AML subtypes. The results demonstrated that the classification models for M0-M2 and M5 shared two bands (i.e., 1328 and 741 cm-1 ), all came from nucleic acid signals. Furthermore, Metabolic profiles provided various differential metabolites responsible for different AML subtypes, and we found altered pathways mainly included energy metabolism like glycolysis, pyruvate metabolism, and metabolisms of nucleic acid bases as well as specific amino acid metabolisms. It is concluded that integration of SERS and NMR provides the rational and could be reliable to reveal AML differentiation, and meanwhile lay the basis for experimental and clinical practice to monitor disease progression and prognostic evaluation.
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Affiliation(s)
- Zhengwei Duan
- Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China
| | - Yang Chen
- Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China
| | - Minlu Ye
- Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China
| | - Lijing Xiao
- Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China
| | - Yanxin Chen
- Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yingping Cao
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yi Peng
- Department of Ophthalmology & Optometry, Fujian Medical University, Fuzhou, China
| | - Jingling Zhang
- Department of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yu Zhang
- Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Ting Yang
- Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Wuping Liu
- Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Department of Electronic Science, Xiamen University, Xiamen, China
| | - Shangyuan Feng
- Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, China
| | - Jianda Hu
- Department of Laboratory Medicine, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China
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5
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Mousavi SM, Hashemi SA, Rahmanian V, Kalashgrani MY, Gholami A, Omidifar N, Chiang WH. Highly Sensitive Flexible SERS-Based Sensing Platform for Detection of COVID-19. Biosensors (Basel) 2022; 12:bios12070466. [PMID: 35884269 PMCID: PMC9312648 DOI: 10.3390/bios12070466] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 05/26/2023]
Abstract
COVID-19 continues to spread and has been declared a global emergency. Individuals with current or past infection should be identified as soon as possible to prevent the spread of disease. Surface-enhanced Raman spectroscopy (SERS) is an analytical technique that has the potential to be used to detect viruses at the site of therapy. In this context, SERS is an exciting technique because it provides a fingerprint for any material. It has been used with many COVID-19 virus subtypes, including Deltacron and Omicron, a novel coronavirus. Moreover, flexible SERS substrates, due to their unique advantages of sensitivity and flexibility, have recently attracted growing research interest in real-world applications such as medicine. Reviewing the latest flexible SERS-substrate developments is crucial for the further development of quality detection platforms. This article discusses the ultra-responsive detection methods used by flexible SERS substrate. Multiplex assays that combine ultra-responsive detection methods with their unique biomarkers and/or biomarkers for secondary diseases triggered by the development of infection are critical, according to this study. In addition, we discuss how flexible SERS-substrate-based ultrasensitive detection methods could transform disease diagnosis, control, and surveillance in the future. This study is believed to help researchers design and manufacture flexible SERS substrates with higher performance and lower cost, and ultimately better understand practical applications.
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Affiliation(s)
- Seyyed Mojtaba Mousavi
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan;
| | - Seyyed Alireza Hashemi
- Nanomaterials and Polymer Nanocomposites Laboratory, School of Engineering, University of British Columbia, Kelowna, BC V1V 1V7, Canada;
| | - Vahid Rahmanian
- Centre of Molecular and Macromolecular Studies, Polish Academy of Sciences, Sienkiewicza 112, 90-363 Lodz, Poland;
| | | | - Ahmad Gholami
- Biotechnology Research Center, Shiraz University of Medical Science, Shiraz 71468-64685, Iran;
| | - Navid Omidifar
- Department of Pathology, School of Medicine, Shiraz University of Medical Sciences, Shiraz 71468-64685, Iran;
| | - Wei-Hung Chiang
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan;
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6
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Pollap A, Świt P. Recent Advances in Sandwich SERS Immunosensors for Cancer Detection. Int J Mol Sci 2022; 23:ijms23094740. [PMID: 35563131 PMCID: PMC9105793 DOI: 10.3390/ijms23094740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/18/2022] [Accepted: 04/22/2022] [Indexed: 12/04/2022] Open
Abstract
Cancer has been one of the most prevalent diseases around the world for many years. Its biomarkers are biological molecules found in the blood or other body fluids of people with cancer diseases. These biomarkers play a crucial role not only in the diagnosis of cancer diseases, but also in risk assessment, selection of treatment methods, and tracking its progress. Therefore, highly sensitive and selective detection and determination of cancer biomarkers are essential from the perspective of oncological diagnostics and planning the treatment process. Immunosensors are special types of biosensors that are based on the recognition of an analyte (antigen) by an antibody. Sandwich immunosensors apply two antibodies: a capture antibody and a detection antibody, with the antigen ‘sandwiched’ between them. Immunosensors’ advantages include not only high sensitivity and selectivity, but also flexible application and reusability. Surface-enhanced Raman spectroscopy, known also as the sensitive and selective method, uses the enhancement of light scattering by analyte molecules adsorbed on a nanostructured surface. The combination of immunosensors with the SERS technique further improves their analytical parameters. In this article, we followed the recent achievements in the field of sandwich SERS immunosensors for cancer biomarker detection and/or determination.
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Affiliation(s)
| | - Paweł Świt
- Institute of Chemistry, Faculty of Science and Technology, University of Silesia in Katowice, 9 Szkolna Street, 40-006 Katowice, Poland
- Correspondence:
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Cialla-May D, Krafft C, Rösch P, Deckert-Gaudig T, Frosch T, Jahn IJ, Pahlow S, Stiebing C, Meyer-Zedler T, Bocklitz T, Schie I, Deckert V, Popp J. Raman Spectroscopy and Imaging in Bioanalytics. Anal Chem 2021; 94:86-119. [PMID: 34920669 DOI: 10.1021/acs.analchem.1c03235] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Dana Cialla-May
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Christoph Krafft
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Tanja Deckert-Gaudig
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Torsten Frosch
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Izabella J Jahn
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Susanne Pahlow
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Clara Stiebing
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Tobias Meyer-Zedler
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Thomas Bocklitz
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Iwan Schie
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Ernst-Abbe-Hochschule Jena, University of Applied Sciences, Department of Biomedical Engineering and Biotechnology, Carl-Zeiss-Promenade 2, 07745 Jena, Germany
| | - Volker Deckert
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Jürgen Popp
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
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8
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Liu YQ, Zhu W, Hu JM, Shen AG. Recent advances in plasmonic Prussian blue-based SERS nanotags for biological application. Nanoscale Adv 2021; 3:6568-6579. [PMID: 36132655 PMCID: PMC9417754 DOI: 10.1039/d1na00464f] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/19/2021] [Indexed: 05/07/2023]
Abstract
The reliability and reproducibility of surface-enhanced Raman scattering (SERS) technology is still a great challenge in bio-related analysis. Prussian blue (PB)-based SERS tags have attracted increasing interest for improving these deficiencies due to its unique Raman band (near 2156 cm-1) in the Raman-silent region, providing zero-background bio-Raman labels without interference from endogenous biomolecules. Moreover, the stable PB shell consisting of multiple layers of CN- reporters ensure a stable and strong Raman signal output, avoiding the desorption of the Raman reporter from the plasmonic region by the competitive adsorption of the analyte. More importantly, they possess outstanding multiplexing potential in biological analysis owing to the adjustable Raman shift with unique narrow spectral widths. Despite more attention having been attracted to the structure and preparation of PB-based SERS tags for their better biological applications over the past five years, there is still a great challenge for SERS suitable for applications in the actual environment. The biological applications of PB-based SERS tags are comprehensively recounted in this minireview, mainly focusing on quantification analysis, multiple-spectral analysis and cell-imaging joint phototherapy. The prospects of PB-based SERS tags in clinical diagnosis and treatment are also discussed. This review aims to draw attention to the importance of SERS tags and provide a reference for the design and application of PB-based SERS tags in future bio-applications.
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Affiliation(s)
- Ya-Qin Liu
- College of Chemistry and Molecular Sciences, Wuhan University Wuhan 430072 China
| | - Wei Zhu
- School of Printing and Packaging, Wuhan University Wuhan 430079 China
| | - Ji-Ming Hu
- College of Chemistry and Molecular Sciences, Wuhan University Wuhan 430072 China
| | - Ai-Guo Shen
- School of Printing and Packaging, Wuhan University Wuhan 430079 China
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Grieve S, Puvvada N, Phinyomark A, Russell K, Murugesan A, Zed E, Hassan A, Legare JF, Kienesberger PC, Pulinilkunnil T, Reiman T, Scheme E, Brunt KR. Nanoparticle surface-enhanced Raman spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy. Nanomedicine (Lond) 2021; 16:2175-2188. [PMID: 34547916 DOI: 10.2217/nnm-2021-0076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Aim: Monitoring minimal residual disease remains a challenge to the effective medical management of hematological malignancies; yet surface-enhanced Raman spectroscopy (SERS) has emerged as a potential clinical tool to do so. Materials & methods: We developed a cell-free, label-free SERS approach using gold nanoparticles (nanoSERS) to classify hematological malignancies referenced against two control cohorts: healthy and noncancer cardiovascular disease. A predictive model was built using machine-learning algorithms to incorporate disease burden scores for patients under standard treatment upon. Results: Linear- and quadratic-discriminant analysis distinguished three cohorts with 69.8 and 71.4% accuracies, respectively. A predictive nanoSERS model correlated (MSE = 1.6) with established clinical parameters. Conclusion: This study offers a proof-of-concept for the noninvasive monitoring of disease progression, highlighting the potential to incorporate nanoSERS into translational medicine.
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Affiliation(s)
- Stacy Grieve
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,IMPART investigator team, Canada
| | - Nagaprasad Puvvada
- Department of Pharmacology, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Chemistry, Indrashil University, Gujarat, India
| | - Angkoon Phinyomark
- IMPART investigator team, Canada.,Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Kevin Russell
- Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Alli Murugesan
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Elizabeth Zed
- Department of Oncology, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Ansar Hassan
- IMPART investigator team, Canada.,Department of Cardiac Surgery, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Jean-Francois Legare
- IMPART investigator team, Canada.,Department of Cardiac Surgery, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Petra C Kienesberger
- IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Biochemistry & Molecular Biology, Dalhousie University, Saint John, New Brunswick, Canada
| | - Thomas Pulinilkunnil
- IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Biochemistry & Molecular Biology, Dalhousie University, Saint John, New Brunswick, Canada
| | - Tony Reiman
- Department of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.,IMPART investigator team, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada.,Department of Oncology, Saint John Regional Hospital, Saint John, New Brunswick, Canada
| | - Erik Scheme
- IMPART investigator team, Canada.,Institute of Biomedical Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
| | - Keith R Brunt
- IMPART investigator team, Canada.,Department of Pharmacology, Dalhousie University, Saint John, New Brunswick, Canada.,Faculty of Medicine, Dalhousie University, Saint John, New Brunswick, Canada
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10
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Wu Q, Chen G, Qiu S, Feng S, Lin D. A target-triggered and self-calibration aptasensor based on SERS for precise detection of a prostate cancer biomarker in human blood. Nanoscale 2021; 13:7574-7582. [PMID: 33928988 DOI: 10.1039/d1nr00480h] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Sensitive and precise detection of prostate-specific antigen (PSA) is critical for prostate cancer screening and monitoring. Herein, a target-triggered and self-calibration aptasensor based on a core-satellite nanostructure using surface-enhanced Raman spectroscopy (SERS) technology was developed for the sensitive and reliable determination of PSA protein, with a limit of detection of 0.38 ag mL-1 and a dynamic detection range of 10-2 to 10-15 mg mL-1. Furthermore, the proposed approach for the detection of PSA in patient blood samples was performed, and results showed that it is capable of providing comparable detection accuracy associated with a larger dynamic detection range and a lower detection limit as well as less sample requirement (only 5 μL) in comparison with the clinical commonly used method. Therefore, this SERS-based aptasensor for the detection of PSA in human blood samples has promising potential to be an alternative tool for clinical application in the accurate screening of prostate cancer.
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Affiliation(s)
- Qiong Wu
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China.
| | - Guannan Chen
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China.
| | - Sufang Qiu
- Fujian Medical University Cancer Hospital, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, 350014, China
| | - Shangyuan Feng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China.
| | - Duo Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China.
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Kim K, Kashefi-Kheyrabadi L, Joung Y, Kim K, Dang H, Chavan SG, Lee MH, Choo J. Recent advances in sensitive surface-enhanced Raman scattering-based lateral flow assay platforms for point-of-care diagnostics of infectious diseases. Sens Actuators B Chem 2021; 329:129214. [PMID: 36568647 PMCID: PMC9759493 DOI: 10.1016/j.snb.2020.129214] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/03/2020] [Accepted: 11/05/2020] [Indexed: 05/03/2023]
Abstract
This review reports the recent advances in surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) platforms for the diagnosis of infectious diseases. As observed through the recent infection outbreaks of COVID-19 worldwide, a timely diagnosis of the disease is critical for preventing the spread of a disease and to ensure epidemic preparedness. In this regard, an innovative point-of-care diagnostic method is essential. Recently, SERS-based assay platforms have received increasing attention in medical communities owing to their high sensitivity and multiplex detection capability. In contrast, LFAs provide a user-friendly and easily accessible sensing platform. Thus, the combination of LFAs with a SERS detection system provides a new diagnostic modality for accurate and rapid diagnoses of infectious diseases. In this context, we briefly discuss the recent application of LFA platforms for the POC diagnosis of SARS-CoV-2. Thereafter, we focus on the recent advances in SERS-based LFA platforms for the early diagnosis of infectious diseases and their applicability for the rapid diagnosis of SARS-CoV-2. Finally, the key issues that need to be addressed to accelerate the clinical translation of SERS-based LFA platforms from the research laboratory to the bedside are discussed.
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Key Words
- AuNPs, gold nanoparticles
- BA, bacillary angiomatosis
- CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat
- HIV, human immunodeficiency virus
- IFA, indirect immunofluorescence assay
- IgG, immunoglobulin G
- IgM, immunoglobulin M
- In vitro diagnostics (IVD)
- Infectious disease
- KSHV, Kaposi’s sarcoma herpes virus
- LFA, lateral flow assay
- Lateral flow assay (LFA)
- NC, nitrocellulose
- NS1, nonstructural protein 1
- POC, point-of-care
- PRV, pseudorabies virus
- Point-of-care (POC)
- RT-PCR, real-time polymerase chain reaction
- SARS-CoV-2
- SARS-CoV-2, severe acute respiratory syndrome-coronavirus-2
- SEB, staphylococcal enterotoxin
- SERS, surface-enhanced Raman scattering
- Si-AuNPs, silica-encapsulated AuNPs
- Surface-enhanced Raman scattering (SERS)
- crRNAs, CRISPR RNAs
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Affiliation(s)
- Kihyun Kim
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | | | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Kyeongnyeon Kim
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Hajun Dang
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
| | - Sachin Ganpat Chavan
- School of Integrative Engineering, Chung-Ang University, Seoul, 06974, South Korea
| | - Min-Ho Lee
- School of Integrative Engineering, Chung-Ang University, Seoul, 06974, South Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul, 06974, South Korea
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Abstract
Surface-enhanced Raman spectroscopy (SERS) is a Raman spectroscopy technique that has been widely used in food safety, environmental monitoring, medical diagnosis and treatment and drug monitoring because of its high selectivity, sensitivity, rapidness, simplicity and specificity in identifying molecular structures. This review introduces the detection mechanism of SERS and summarizes the most recent progress concerning the use of SERS for the detection and characterization of molecules, providing references for the later research of SERS in detection fields.
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Affiliation(s)
- Ting Lin
- Department of Hematology, Institute of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Ya-Li Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Juan Liao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
| | - Fang Liu
- Department of Laboratory Pathology, Xijing Hospital, Fourth Military Medical University, Xian, 710054, PR China
| | - Ting-Ting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, PR China
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Chen R, Du X, Cui Y, Zhang X, Ge Q, Dong J, Zhao X. Vertical Flow Assay for Inflammatory Biomarkers Based on Nanofluidic Channel Array and SERS Nanotags. Small 2020; 16:e2002801. [PMID: 32567225 DOI: 10.1002/smll.202002801] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/03/2020] [Indexed: 05/07/2023]
Abstract
There is a great demand for the development of detection assays for inflammation infection diagnosis with high throughput and ultrasensitivity. Herein, a vertical flow assay system with functionalized nanoporous anodic aluminum oxide (AAO) as sensing membrane, and encoded core-shell surface enhanced Raman scattering (SERS) nanotags as labels for multiple inflammatory biomarkers detection is presented. A 2 × 2 test array on the porous AAO is developed and modified with multiple capture antibodies to capture inflammatory biomarkers from samples. Due to the high surface area to volume ratio of the AAO membrane, and its influence on plasmonic coupling, the electromagnetic field of the encoded core-shell SERS nanotags is enhanced. Detection limits of 53.4, 4.72, 48.3, and 7.53 fg mL-1 are realized for C reactive protein, interleukin-6, serum amyloid A, and procalcitonin, respectively, with a linear dynamic range spanning at least five orders of magnitude. In addition, the proposed method also shows acceptable accuracy and repeatability for the detection of clinical samples. Therefore, this approach is expected to be a powerful point of care testing tool for disease diagnosis in facility limited areas.
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Affiliation(s)
- Ruipeng Chen
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China
- Southeast University Shenzhen Research Institute, Shenzhen, 518000, China
| | - Xin Du
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Yujun Cui
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China
- Southeast University Shenzhen Research Institute, Shenzhen, 518000, China
| | - Xieyuan Zhang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China
- Southeast University Shenzhen Research Institute, Shenzhen, 518000, China
| | - Qinyu Ge
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China
| | - Jian Dong
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China
- Southeast University Shenzhen Research Institute, Shenzhen, 518000, China
| | - Xiangwei Zhao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
- National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China
- Southeast University Shenzhen Research Institute, Shenzhen, 518000, China
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