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Evtushenko EG, Gavrilina ES, Vasilyeva AD, Yurina LV, Kurochkin IN. Highly Sensitive Measurement of Horseradish Peroxidase Using Surface-Enhanced Raman Scattering of 2,3-Diaminophenazine. Molecules 2024; 29:793. [PMID: 38398545 PMCID: PMC10891785 DOI: 10.3390/molecules29040793] [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: 10/31/2023] [Revised: 01/29/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
The development of various enzyme-linked immunosorbent assays (ELISAs) coupled with surface-enhanced Raman scattering (SERS) detection is a growing area in analytical chemistry due to their potentially high sensitivity. A SERS-based ELISA with horseradish peroxidase (HRP) as an enzymatic label, an o-phenylenediamine (oPD) substrate, and a 2,3-diaminophenazine (DAP) enzymatic product was one of the first examples of such a system. However, the full capabilities of this long-known approach have yet to be revealed. The current study addresses a previously unrecognized problem of SERS detection stage performance. Using silver nanoparticles and model mixtures of oPD and DAP, the effects of the pH, the concentration of the aggregating agent, and the particle surface chloride stabilizer were extensively evaluated. At the optimal mildly acidic pH of 3, a 0.93 to 1 M citrate buffer, and AgNPs stabilized with 20 mM chloride, a two orders of magnitude advantage in the limits of detection (LODs) for SERS compared to colorimetry was demonstrated for both DAP and HRP. The resulting LOD for HRP of 0.067 pmol/L (1.3 amol per assay) underscores that the developed approach is a highly sensitive technique. We suppose that this improved detection system could become a useful tool for the development of SERS-based ELISA protocols.
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Affiliation(s)
- Evgeniy G. Evtushenko
- N.M. Emanuel Institute of Biochemical Physics RAS, Kosygina Str. 4, 119334 Moscow, Russia (A.D.V.); (I.N.K.)
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1/3, 119991 Moscow, Russia
| | - Elizaveta S. Gavrilina
- N.M. Emanuel Institute of Biochemical Physics RAS, Kosygina Str. 4, 119334 Moscow, Russia (A.D.V.); (I.N.K.)
| | - Alexandra D. Vasilyeva
- N.M. Emanuel Institute of Biochemical Physics RAS, Kosygina Str. 4, 119334 Moscow, Russia (A.D.V.); (I.N.K.)
| | - Lyubov V. Yurina
- N.M. Emanuel Institute of Biochemical Physics RAS, Kosygina Str. 4, 119334 Moscow, Russia (A.D.V.); (I.N.K.)
| | - Ilya N. Kurochkin
- N.M. Emanuel Institute of Biochemical Physics RAS, Kosygina Str. 4, 119334 Moscow, Russia (A.D.V.); (I.N.K.)
- Faculty of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1/3, 119991 Moscow, Russia
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Liu L, Ma X, Chang Y, Guo H, Wang W. Biosensors with Boronic Acid-Based Materials as the Recognition Elements and Signal Labels. BIOSENSORS 2023; 13:785. [PMID: 37622871 PMCID: PMC10452607 DOI: 10.3390/bios13080785] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 07/29/2023] [Accepted: 07/30/2023] [Indexed: 08/26/2023]
Abstract
It is of great importance to have sensitive and accurate detection of cis-diol-containing biologically related substances because of their important functions in the research fields of metabolomics, glycomics, and proteomics. Boronic acids can specifically and reversibly interact with 1,2- or 1,3-diols to form five or six cyclic esters. Based on this unique property, boronic acid-based materials have been used as synthetic receptors for the specific recognition and detection of cis-diol-containing species. This review critically summarizes the recent advances with boronic acid-based materials as recognition elements and signal labels for the detection of cis-diol-containing biological species, including ribonucleic acids, glycans, glycoproteins, bacteria, exosomes, and tumor cells. We also address the challenges and future perspectives for developing versatile boronic acid-based materials with various promising applications.
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Affiliation(s)
- Lin Liu
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Xiaohua Ma
- Henan Key Laboratory of Biomolecular Recognition and Sensing, Shangqiu Normal University, Shangqiu 476000, China
| | - Yong Chang
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Hang Guo
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Wenqing Wang
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
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Lu H, Yang Y, Chen R, Huang W, Cheng H, Liu X, Kong H, Li L, Feng J. Quantitative evaluation of human carboxylesterase 1 by SERS-ELISA using a synergistic enhancement strategy based on gold nanoparticles and metal–organic framework. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Cheng Y, Ding Y, Chen J, Xu W, Wang W, Xu S. Au nanoparticles decorated covalent organic framework composite for SERS analyses of malachite green and thiram residues in foods. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 281:121644. [PMID: 35878495 DOI: 10.1016/j.saa.2022.121644] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 06/15/2023]
Abstract
A three-dimensional (3D) surface-enhanced Raman scattering (SERS) substrate composed of gold nanoparticles (AuNPs) self-assembled covalent organic frameworks (COFs) was fabricated via the electrostatic interaction between positively charged COFs and negatively charged AuNPs, which exhibited excellent SERS performance and were successfully applied for the analyses of malachite green (MG) residue in different seafood products as well as thiram residue in several kinds of fruit juice. The raspberry-like structure SERS substrate has a larger surface area that can provide more adsorption sites in testing and improve the efficiency of sample enrichment. By using this developed SERS substrate, the detection linearity ranges are 1.0 × 10-9 mol·L-1-1.0 × 10-6 mol·L-1 for MG and 5.0 × 10-8 mol·L-1-1.0 × 10-5 mol·L-1 for thiram (R2 ≥ 0.995). The detection limits are 6.2 × 10-10 mol·L-1 for MG and 1.7 × 10-8 mol·L-1 for thiram, respectively. The COF-AuNPs substrate was actually applied for analysis of MG in seafood products and thiram in different fruit juice, with the recoveries in the ranges of 94.67-108.99 % for MG and 95.00-107.58 % for thiram, and both of the relative standard deviation (RSD) are no more than 5.88 %. This work indicates that the developed COF-AuNPs substrate is promising for SERS analyses and detections of residues in foods.
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Affiliation(s)
- Yuqi Cheng
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Yanru Ding
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Jiamin Chen
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Weiqing Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, PR China
| | - Weigang Wang
- No. 2 Department of Urology, The First Hospital of Jilin University, Changchun 130021, PR China.
| | - Shuping Xu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130012, PR China; Center for Supramolecular Chemical Biology, College of Chemistry, Jilin University, Changchun 130012, PR China.
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Zhang Y, Xue C, Xu Y, Cui S, Ganeev AA, Kistenev YV, Gubal A, Chuchina V, Jin H, Cui D. Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection. NANO RESEARCH 2022; 16:2968-2979. [PMID: 36090613 PMCID: PMC9440655 DOI: 10.1007/s12274-022-4914-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/26/2022] [Accepted: 08/16/2022] [Indexed: 05/28/2023]
Abstract
Metal-organic frameworks (MOFs) have attracted widespread interest due to their unique and unprecedented advantages in microstructures and properties. Besides, surface-enhanced Raman scattering (SERS) technology has also rapidly developed into a powerful fingerprint spectroscopic technique that can provide rapid, non-invasive, non-destructive, and ultra-sensitive detection, even down to single molecular level. Consequently, a considerable amount of researchers combined MOFs with the SERS technique to further improve the sensing performance and broaden the applications of SERS substrates. Herein, representative synthesis strategies of MOFs to fabricate SERS-active substrates are summarized and their applications in ultra-sensitive biomedical trace detection are also reviewed. Besides, relative barriers, advantages, disadvantages, future trends, and prospects are particularly discussed to give guidance to relevant researchers.
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Affiliation(s)
- Yuna Zhang
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Cuili Xue
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Yuli Xu
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Shengsheng Cui
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Alexander A. Ganeev
- St Petersburg University, 7/9 Universitetskaya Emb., St Petersburg, 199034 Russia
| | - Yury V. Kistenev
- Tomsk State University, Lenina Av. 36, Tomsk, Tomsk, 634050 Russia
| | - Anna Gubal
- St Petersburg University, 7/9 Universitetskaya Emb., St Petersburg, 199034 Russia
| | - Victoria Chuchina
- St Petersburg University, 7/9 Universitetskaya Emb., St Petersburg, 199034 Russia
| | - Han Jin
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
- National Engineering Research Center for Nanotechnology, Shanghai, 200241 China
| | - Daxiang Cui
- Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240 China
- National Engineering Research Center for Nanotechnology, Shanghai, 200241 China
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Xu J, Ma J, Peng Y, Cao S, Zhang S, Pang H. Applications of metal nanoparticles/metal-organic frameworks composites in sensing field. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.05.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Li H, Xu H, Zhang J, Li Y, Yu H, Zhao Y, Wang D, Li Y, Zhu J. Synthesis of an organic phosphoric acid-based multilayered SERS imprinted sensor for selective detection of dichlorophenol. NEW J CHEM 2022. [DOI: 10.1039/d2nj01637k] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
A novel SERS imprinted sensor (AIM@MIPs) was prepared, which could improve the detection ability of analysis detection. The AIM@MIPs presented sensitive and selective detection property to 2,6-DCP.
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Affiliation(s)
- Hongji Li
- Key Laboratory of Preparation and Applications of Environmental Friendly Materials (Ministry of Education), Jilin Normal University, Changchun, 130103, China
- College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, China
| | - Hongda Xu
- College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, China
| | - Jinyue Zhang
- College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, China
| | - Yi Li
- School of Chemistry and Environmental Engineering, Changchun University of Science and Technology, Changchun, 130022, China
| | - Haochen Yu
- College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, China
| | - Yibo Zhao
- College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, China
| | - Dandan Wang
- Key Laboratory of Preparation and Applications of Environmental Friendly Materials (Ministry of Education), Jilin Normal University, Changchun, 130103, China
- College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, China
| | - Yunhui Li
- School of Chemistry and Environmental Engineering, Changchun University of Science and Technology, Changchun, 130022, China
- Zhong shan Institute of Changchun University of Science and Technology, Zhongshan, 528403, China
| | - Jianwei Zhu
- Zhong shan Institute of Changchun University of Science and Technology, Zhongshan, 528403, China
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