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Wang B, Zhao L, Ma H, Ren X, Wang H, Fan D, Wu D, Wei Q. One master and two servants: One Zr(Ⅳ) with two ligands of TCPP and NH 2-BDC form the MOF as the electrochemiluminescence emitter for the biosensing application. Talanta 2024; 266:124961. [PMID: 37480821 DOI: 10.1016/j.talanta.2023.124961] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 07/24/2023]
Abstract
Here we put forward an innovative "one master and two servants" strategy for enhancing the ECL performance. A novel ECL luminophore named Zr-TCPP/NH2-BDC (TCPP@UiO-66-NH2) was synthesized by self-assembly of meso-tetra(4-carboxyphenyl)porphine (TCPP) and 4-aminobenzoic acid (NH2-BDC) with Zr clusters. TCPP@UiO-66-NH2 has a porous structure and a highly ordered structure, which allows the molecular motion of TCPP to be effectively confined, thereby inhibiting nonradiative energy transfer. Importantly, TCPP@UiO-66-NH2 has a higher and more stable ECL signal. To further improve the sensitivity of the sensor, we use polydopamine-coated manganese dioxide (PDA@MnO2), which has a double quenching effect, as the quencher. The nucleocapsid (N) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2-N) is one of the ideal markers for the early diagnosis of COVID-19, and its sensitivity detection is of great significance for the prevention and treatment of COVID-19. Thus, we constructed a quenching-type ECL sensor for the ultrasensitive detection of the SARS-CoV-2-N. Its linear range is 10 fg/mL∼1 μg/mL and the calculated detection limit is 1.4 fg/mL (S/N = 3). The spiked recoveries are 97.40-103.8%, with the relative standard deviations (RSD) under 3.0%. More importantly, the technique offers a viable way to identify and diagnose viral infections early.
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Affiliation(s)
- Beibei Wang
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
| | - Lu Zhao
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
| | - Hongmin Ma
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
| | - Xiang Ren
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
| | - Huan Wang
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
| | - Dawei Fan
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
| | - Dan Wu
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China.
| | - Qin Wei
- Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, China
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Hubler Z, Song X, Norris C, Jani M, Alouani D, Atchley M, Stempak L, Cherian S, Schmotzer C, Sadri N. High-Throughput Adaptable SARS-CoV-2 Screening for Rapid Identification of Dominant and Emerging Regional Variants. Am J Clin Pathol 2022; 157:927-935. [PMID: 34999740 PMCID: PMC8755384 DOI: 10.1093/ajcp/aqab212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 11/16/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES Emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant strains can be associated with increased transmissibility, more severe disease, and reduced effectiveness of treatments. To improve the availability of regional variant surveillance, we describe a variant genotyping system that is rapid, accurate, adaptable, and able to detect new low-level variants built with existing hospital infrastructure. METHODS We used a tiered high-throughput SARS-CoV-2 screening program to characterize variants in a supraregional health system over 76 days. Combining targeted reverse transcription-polymerase chain reaction (RT-PCR) and selective sequencing, we screened SARS-CoV-2 reactive samples from all hospitals within our health care system for genotyping dominant and emerging variants. RESULTS The median turnaround for genotyping was 2 days using the high-throughput RT-PCR-based screen, allowing us to rapidly characterize the emerging Delta variant. In our population, the Delta variant is associated with a lower cycle threshold value, lower age at infection, and increased vaccine-breakthrough cases. Detection of low-level and potentially emerging variants highlights the utility of a tiered approach. CONCLUSIONS These findings underscore the need for fast, low-cost, high-throughput monitoring of regional viral sequences as the pandemic unfolds and the emergence of SARS-CoV-2 variants increases. Combining RT-PCR-based screening with selective sequencing allows for rapid genotyping of variants and dynamic system improvement.
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Affiliation(s)
- Zita Hubler
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Xiao Song
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Cameron Norris
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Mehul Jani
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - David Alouani
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Maureen Atchley
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Lisa Stempak
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Sarah Cherian
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Christine Schmotzer
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Navid Sadri
- Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
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