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Zhang H, Cai B, Cai F, Lian M, Wang Y. Ultrasensitive fluorescence immunoassay of pepsinogen I based on enzyme-triggered decomposition of AuNCs/MnO 2. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 16:122-127. [PMID: 38086630 DOI: 10.1039/d3ay01821k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Gastric cancer is a prevalent malignant tumor of the gastrointestinal tract accompanied by a high mortality rate; therefore, early gastric cancer screening is critical for improving patient survival. In this study, we present a facile fluorescence immunoassay for highly sensitive screening of pepsinogen I (PG I) based on a one-pot biomimetic mineralization process for the synthesis of gold nanocluster-anchored manganese dioxide (AuNCs/MnO2) nanosheets. MnO2 first quenches the fluorescence of AuNCs through the Förster resonance energy transfer effect, whereas the introduction of ascorbic acid (AA) leads to the decomposition of MnO2 and rapidly recovers the fluorescence of AuNCs. Based on the above principles and phenomena, we developed a sensitive fluorescence immunoassay for the in situ generation of AA to detect PG I. Specifically, in the presence of PG I, the sandwich-type immunoreactivity-enriched alkaline phosphatase-labeled secondary antibody catalyzes the production of AA from the substrate, which enhances the fluorescence intensity. Under optimized conditions, the fluorescence intensity increased linearly with the concentration of PG I (0.05 to 200 ng mL-1) with a limit of detection (LOD) of 0.013 ng mL-1 (S/N = 3). The designed sensing platform has good stability (more than one year) and excellent anti-interference capability and demonstrates satisfactory accuracy for detection in real samples compared to commercial ELISA kits.
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Affiliation(s)
- Huanzong Zhang
- The Fifth Hospital of Xiamen, Xiamen 361101, Fujian Province, People's Republic of China.
| | - Binhuang Cai
- The Fifth Hospital of Xiamen, Xiamen 361101, Fujian Province, People's Republic of China.
| | - Fan Cai
- College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian, People's Republic of China.
| | - Mingzhe Lian
- The Fifth Hospital of Xiamen, Xiamen 361101, Fujian Province, People's Republic of China.
| | - Yinghui Wang
- The Fifth Hospital of Xiamen, Xiamen 361101, Fujian Province, People's Republic of China.
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Nan X, Yao X, Yang L, Cui Y. Lateral flow assay of pathogenic viruses and bacteria in healthcare. Analyst 2023; 148:4573-4590. [PMID: 37655501 DOI: 10.1039/d3an00719g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Healthcare-associated pathogenic viruses and bacteria can have a serious impact on human health and have attracted widespread global attention. The lateral flow assay is a unidirectional detection based on the binding of a target analyte and a bioreceptor on the device via lateral flow. With incredible advantages over traditional chromatographic methods, such as rapid detection, ease of manufacture and cost effectiveness, these test strips are increasingly considered the ideal form for point-of-care applications. This review explores lateral flow assays for pathogenic viruses and bacteria, with a particular focus on methodologies, device components, construction methods, and applications. We anticipate that this review could provide exciting opportunities for developing new lateral flow devices for pathogens and advance related healthcare applications.
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Affiliation(s)
- Xuanxu Nan
- School of Materials Science and Engineering, Peking University; First Hospital Interdisciplinary Research Center, Peking University, Beijing 100871, P.R. China.
| | - Xuesong Yao
- School of Materials Science and Engineering, Peking University; First Hospital Interdisciplinary Research Center, Peking University, Beijing 100871, P.R. China.
| | - Li Yang
- Peking University First Hospital; Peking University Institute of Nephrology, Beijing 100034, P. R. China.
| | - Yue Cui
- School of Materials Science and Engineering, Peking University; First Hospital Interdisciplinary Research Center, Peking University, Beijing 100871, P.R. China.
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Xie Z, Feng S, Pei F, Xia M, Hao Q, Liu B, Tong Z, Wang J, Lei W, Mu X. Magnetic/fluorescent dual-modal lateral flow immunoassay based on multifunctional nanobeads for rapid and accurate SARS-CoV-2 nucleocapsid protein detection. Anal Chim Acta 2022; 1233:340486. [PMID: 36283777 PMCID: PMC9544234 DOI: 10.1016/j.aca.2022.340486] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 09/27/2022] [Accepted: 10/04/2022] [Indexed: 11/03/2022]
Abstract
The SARS-CoV-2 pandemic has posed a huge challenge to rapid and accurate diagnosis of SARS-CoV-2 in the early stage of infection. In this work, we developed a novel magnetic/fluorescent dual-modal lateral flow immunoassay (LFIA) based on multifunctional nanobeads for rapid and accurate determination of SARS-CoV-2 nucleocapsid protein (NP). The multifunctional nanobeads were fabricated by using polyethyleneimine (PEI) as a mediate shell to combine superparamagnetic Fe3O4 core with dual quantum dot shells (MagDQD). The core-shell structure of MagDQD label with high loading density of quantum dots (QDs) and superior magnetic content realized LFIA with dual quantitative analysis modal from the assemblies of individual single nanoparticles. The LFIA integrated the advantages of magnetic signal and fluorescent signal, resulting excellent accuracy for quantitative analysis and high elasticity of the overall detection. In addition, magnetic signal and fluorescent signal both had high sensitivity with the limit of detection (LOD) as 0.235 ng mL-1 and 0.012 ng mL-1, respectively. The recovery rates of the methods in simulated saliva samples were 91.36%-103.60% (magnetic signal) and 94.39%-104.38% (fluorescent signal). The results indicate the method has a considerable potential to be an effective tool for diagnose SARS-CoV-2 in the early stage of infection.
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Affiliation(s)
- Zihao Xie
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shasha Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Fubin Pei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Mingzhu Xia
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Jiang Wang
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, JiangSu, China,Corresponding author
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China,Corresponding author
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Zhong ZT, Ashraf G, Chen W, Liu B, Wang GP, Zhao YD. Detection of Matrix Metalloproteinase-1 in Human Saliva Based on a Pregnancy Test Strip Platform. Anal Chem 2022; 94:16384-16392. [DOI: 10.1021/acs.analchem.2c03633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Zi-Tao Zhong
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics─Hubei Bioinformatics & Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
| | - Ghazala Ashraf
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics─Hubei Bioinformatics & Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
| | - Wei Chen
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics─Hubei Bioinformatics & Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
| | - Bo Liu
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics─Hubei Bioinformatics & Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
| | - Guo-Ping Wang
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics─Hubei Bioinformatics & Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
| | - Yuan-Di Zhao
- Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics─Hubei Bioinformatics & Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
- Key Laboratory of Biomedical Photonics (HUST), Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, Hubei, P. R. China
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Saadati A, Farshchi F, Hasanzadeh M, Liu Y, Seidi F. Colorimetric and naked-eye detection of arsenic(iii) using a paper-based microfluidic device decorated with silver nanoparticles. RSC Adv 2022; 12:21836-21850. [PMID: 36091189 PMCID: PMC9358409 DOI: 10.1039/d2ra02820d] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/11/2022] [Indexed: 01/14/2023] Open
Abstract
Arsenic (As) as a metal ion has long-term toxicity and its presence in water poses a serious threat to the environment and human health. So, rapid and accurate recognition of traces of As is of particular importance in environmental and natural resources. In this study, a fast and sensitive colorimetric method was developed using silver nano prisms (Ag NPrs), cysteine-capped Ag NPrs, and methionine-capped Ag NPrs for accurate detection of arsenic-based on transforming the morphology of silver nanoparticles (AgNPs). The generated Ag atoms from the redox reaction of silver nitrate and As(iii) were deposited on the surface of Ag NPrs and their morphology changed to a circle. The morphological changes resulted in a change in the color of the nanoparticles from blue to purple, which was detectable by the naked eye. The rate of change was proportional to the concentration of arsenic. The changes were also confirmed using UV-Vis absorption spectra and showed a linear relationship between the change in adsorption peak and the concentration of arsenic in the range of 0.0005 to 1 ppm with a lower limit of quantification (LLOQ) of 0.0005 ppm. The proposed probes were successfully used to determine the amount of As(iii) in human urine samples. In addition, modified microfluidic substrates were fabricated with Ag NPrs, Cys-capped Ag NPrs, and methionine-capped Ag NPrs nanoparticles that are capable of arsenic detection in the long-time and can be used in the development of on-site As(iii) detection kits. In addition, silver nanowires (AgNWs) were used as a probe to detect arsenic, but good results were not obtained in human urine specimens and paper microfluidic platforms. In this study, for the first time, AgNPs were developed for optical colorimetric detection of arsenic using paper-based microfluidics. Ag NPrs performed best in both optical and colorimetric techniques. Therefore, they can be a promising option for the development of sensitive, inexpensive, and portable tools in the environmental and biomedical diagnosis of As(iii).
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Affiliation(s)
- Arezoo Saadati
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University Nanjing 210037 China
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences Tabriz Iran
- Central European Institute of Technology, Brno University of Technology Brno CZ-612 00 Czech Republic
| | - Fatemeh Farshchi
- Fundação Oswaldo Cruz, Instituto Oswaldo Cruz, Laboratório de Biologia Molecular e Doenças Endêmicas Avenida Brasil No. 4365 - Manguinhos Rio de Janeiro 21040-900 RJ Brazil
| | - Mohammad Hasanzadeh
- Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences Tabriz Iran
- Nutrition Research Center, Tabriz University of Medical Sciences Tabriz Iran
| | - Yuqian Liu
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University Nanjing 210037 China
| | - Farzad Seidi
- Jiangsu Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, Nanjing Forestry University Nanjing 210037 China
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