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Li S, Gao S, Su L, Zhang M. Evaluating the accuracy of Raman spectroscopy in differentiating leukemia patients from healthy individuals: a systematic review and meta-analysis. Photodiagnosis Photodyn Ther 2024:104260. [PMID: 38950876 DOI: 10.1016/j.pdpdt.2024.104260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 05/26/2024] [Accepted: 06/26/2024] [Indexed: 07/03/2024]
Abstract
PURPOSE To assess the accuracy of Raman spectroscopy in distinguishing between patients with leukemia and healthy individuals. METHOD PubMed, Embase, Web of Science, Cochrane Library, and CNKI databases were searched for relevant articles published from inception of the respective database to November 1, 2023. The pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), were calculated along with their corresponding 95% confidence intervals (CI). A summary comprehensive receiver operating characteristic curve (SROC) was constructed and the area under the curve (AUC) was calculated. The degree of heterogeneity was tested and analyzed. RESULTS Fifteen groups of original studies from 13 articles were included. The pooled SEN and SPE were 0.93 (95% CI, [0.92 -0.93]) and 0.91(95% CI, [0.90-0.92]), respectively. The DOR was 613.01 (95%CI, [270.79-1387.75]), and the AUC was 0.99. The Deeks' funnel plot asymmetry test indicated no significant publication bias among the included studies (bias coefficient, 40.80; P = 0.13 <0.10). The meta-regression analysis findings indicated that the observed heterogeneity could be attributed to variations in sample categories and Raman spectroscopy techniques. CONCLUSION We confirmed that Raman spectroscopy has good accuracy in differentiating patients with leukemia from healthy individuals, and may become a means of leukemia screening in clinical practice. In the case of analysis based on live cells using surface-enhanced Raman spectroscopy (SERS) improved diagnostic efficacy was observed.
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Affiliation(s)
- Shaotong Li
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, China
| | - Sujun Gao
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, China..
| | - Long Su
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, China
| | - Ming Zhang
- Department of Hematology, The First Hospital of Jilin University, Changchun 130021, China
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Wei S, Zhao X, Zhao K, Wang M, Xu L, Zhang Y, Huang X, Chen Y. Flexible, foldable and transparent SERS film with high sensitivity and signal homogeneity via silver ion exchange and in-situ reduction. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 306:123624. [PMID: 37948934 DOI: 10.1016/j.saa.2023.123624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/27/2023] [Accepted: 11/04/2023] [Indexed: 11/12/2023]
Abstract
The adhesion between metal plasma and substrate was the key of surface-enhanced Raman scattering (SERS) technology. The preparation of ideal SERS substrate with multiple advantages such as high sensitivity and good signal reproducibility was still the focus of research. A flexible foldable and transparent fluorinated polyimide/silver NPs (FPI@Ag) SERS film was fabricated by the ion exchange and in-situ reduction method in this work. The effects of KOH hydrolysis time, AgNO3 ion exchange time and concentration, the type and concentration of reducing agents on the SERS performance of the FPI@Ag film were systematically discussed. As a result, the hydrolysis time of KOH affected the thickness of the metallic silver layer, the concentration of AgNO3 affected the size and spacing of Ag NPs, and the Raman signal of was remarkably enhanced when borane dimethylamine complex (DMAB) was used as reducing agent. When the detection limit of 4-Aminothiophenol was as low as 1 × 10-11 mol·L-1, the obvious Raman characteristic peak still appeared. The enhancement factor (EF) was up to 9.4 × 107. The linear quantification range was achieved in the range from 10-3-10-11 mol·L-1, R2 = 0.9987. In addition, we also performed multi-cycle bending and torsion test on the FPI@Ag film, and obtained stable Raman signals. The prepared FPI@Ag film can be attached to the surface of uneven samples, which can be used for on-site Raman detection and analysis.
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Affiliation(s)
- Siyu Wei
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - Xinyu Zhao
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - Ke Zhao
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - Meng Wang
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - LinZhe Xu
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - Yuanyuan Zhang
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - Xiujing Huang
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China
| | - Yingbo Chen
- School of Materials Science and Engineering, State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387, PR China.
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Kowalska AA, Nowicka AB, Szymborski T, Cywiński P, Kamińska A. Determination of L-selectin in blood plasma using DNA aptamer-based surface-enhanced Raman spectroscopy assay. Anal Bioanal Chem 2024; 416:1189-1197. [PMID: 38191826 DOI: 10.1007/s00216-023-05110-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 01/10/2024]
Abstract
In the human body, tumor cell occurrence can be indirectly monitored using the L-selectin concentration in the blood, since selectin ligands are present on the surface of tumor cells, and with tumor progression, a decrease in L-selectin levels can be expected and observed. In this study, we present a selective DNA-based surface-enhanced Raman spectroscopy (SERS) assay for the detection and determination of L-selectin in biological samples. Two calibration curves (linear in the 40-190 ng mL-1 region and exponential in the 40-500 ng mL-1 region) are fitted to the obtained SERS experimental data, i.e., the ratio of I732/I1334 band intensities (LOQ = 46 ng mL-1). Calculated determination coefficients are found to be R2 = 0.997 for the linear region of the calibration curve and R2 = 0.977 for the exponential region. Moreover, we demonstrate very good selectivity of the assay even in the presence of P- and E-selectin in a sample containing L-selectin. With our SERS assay, the L-selectin concentration in biological samples can be estimated directly from the calibration curves.
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Affiliation(s)
- Aneta Aniela Kowalska
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland.
| | - Ariadna B Nowicka
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland
- Faculty of Materials Engineering and Technical Physics, Poznan University of Technology, Piotrowo 3, 60-965, Poznan, Poland
| | - Tomasz Szymborski
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland
| | - Piotr Cywiński
- Lukasiewicz Institute of Microelectronics and Photonics, al. Lotnikow 32/46, 02-668, Warsaw, Poland
| | - Agnieszka Kamińska
- Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland
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Jin S, Zhang D, Yang B, Guo S, Chen L, Jung YM. Noble metal-free SERS: mechanisms and applications. Analyst 2023; 149:11-28. [PMID: 38051259 DOI: 10.1039/d3an01669b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Surface-enhanced Raman scattering (SERS) is a very important tool in vibrational spectroscopy. The coupling of nanomaterials induces local surface plasmon resonance (LSPR), which contributes greatly to SERS. Due to its remarkable sensitivity in trace detection, SERS has gained prominence in the fields of catalysis, biosensors, drug tracking, and optoelectronic devices. SERS activity is believed to be closely related to the LSPR and charge transfer (CT) of the material. Noble metal nanostructures have been commonly used as SERS-active substrates due to their strong local electric fields and relatively mature preparation, application, and enhancement mechanisms. In recent years, SERS research based on semiconductor materials has attracted significant attention because semiconductor materials have advantages such as repeatable preparation, simple pretreatment, stable SERS spectra and superior biocompatibility, stability, and reproducibility. Semiconductor-based SERS has the potential to enrich SERS theory and applications. Thus, the development of semiconductor materials will introduce a new epoch for SERS-based research. In this review, we outline the two main kinds of semiconductor SERS-active substrates: inorganic and organic semiconductor SERS-active substrates. We also provide an overview of the SERS mechanism for different kinds of materials and SERS-based applications.
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Affiliation(s)
- Sila Jin
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Korea.
- Department of Chemistry, University at Albany, State University of New York, Albany, New York 12222, USA
| | - Daxin Zhang
- College of Science, Jilin Institute of Chemical Technology, Jilin, 132022, China
| | - Bo Yang
- School of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun 130117, P.R. China.
| | - Shuang Guo
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon 24341, Korea
| | - Lei Chen
- School of Materials Science and Engineering, Jilin Jianzhu University, Changchun 130118, China
| | - Young Mee Jung
- Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Korea.
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon 24341, Korea
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You R, Huang Q, Lin Z, Wang W, Lie J, Chen J, Zhang G, Lu Y. Preparation of SERS base membrane with cellulose compound dopamine and determination of hypochlorite. Mikrochim Acta 2023; 190:447. [PMID: 37864774 DOI: 10.1007/s00604-023-06006-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 09/18/2023] [Indexed: 10/23/2023]
Abstract
Flexible silver substrates were made by in situ reduction of silver nanoparticles in bacterial cellulose membranes using the unique advantage of dopamine. Subsequently, we modified the substrate with 4-mercaptophenol (4-MP), a molecule capable of specifically recognizing ClO-, and its corresponding SERS signal changes with the concentration of hypochlorite, thus allowing the quantitative detection of ClO- content. The method showed a negative linear correlation (R2 = 0.9567) with the SERS intensity at 1077 cm-1 over the concentration range 0.5-100 µM, and the detection limit was 0.15 µM. The RSD of the SERS intensity at 1077 cm-1 under five batches was 4.2%, which proved the good reproducibility of P-BCM-Ag NP-MP. Finally, the P-BCM-Ag NPs were used for the detection of hypochlorite in cell contents, artificial urine, and clinical serum samples, utilizing spike experiments in all three environments. The recoveries were in the range 90-110% indicating the accuracy of the method for the detection of hypochlorite and validating the promising application of this assay for practical detection in intricate biological samples.
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Affiliation(s)
- Ruiyun You
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Avanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China
| | - Qian Huang
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Avanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China
| | - Ziyi Lin
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Avanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China
| | - Wenxi Wang
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Avanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China
| | - Jiansen Lie
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Avanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China
| | - Jingbo Chen
- Department of Medical Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Guifeng Zhang
- Department of Medical Oncology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
| | - Yudong Lu
- College of Chemistry and Materials Science, Fujian Provincial Key Laboratory of Avanced Oriented Chemical Engineer, Fujian Key Laboratory of Polymer Materials, Engineering Research Center of Industrial Biocatalysis, Fujian Province Higher Education Institutes, Fujian Normal University, Fuzhou, 350007, Fujian, China.
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Beeram R, Vepa KR, Soma VR. Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques. BIOSENSORS 2023; 13:328. [PMID: 36979540 PMCID: PMC10046859 DOI: 10.3390/bios13030328] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/20/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, and label-free approach. Advances in plasmonics and instrumentation have enabled the realization of SERS's full potential for the trace detection of biomolecules, disease diagnostics, and monitoring. We provide a brief review on the recent developments in the SERS technique for biosensing applications, with a particular focus on machine learning techniques used for the same. Initially, the article discusses the need for plasmonic sensors in biology and the advantage of SERS over existing techniques. In the later sections, the applications are organized as SERS-based biosensing for disease diagnosis focusing on cancer identification and respiratory diseases, including the recent SARS-CoV-2 detection. We then discuss progress in sensing microorganisms, such as bacteria, with a particular focus on plasmonic sensors for detecting biohazardous materials in view of homeland security. At the end of the article, we focus on machine learning techniques for the (a) identification, (b) classification, and (c) quantification in SERS for biology applications. The review covers the work from 2010 onwards, and the language is simplified to suit the needs of the interdisciplinary audience.
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