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Tan Y, Zhang S, Liu Y, Li J, Zhang S, Pan H. A novel integrated lateral flow immunoassay platform for the detection of cardiac troponin I using hierarchical dendritic copper-nickel nanostructures. Talanta 2024; 277:126332. [PMID: 38823322 DOI: 10.1016/j.talanta.2024.126332] [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: 04/11/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/03/2024]
Abstract
Cardiac troponin I (cTnI) is a critical biomarker for the diagnosis of acute myocardial infarction (AMI). Herein, we report a novel integrated lateral flow immunoassay (LFIA) platform for highly sensitive point-of-care testing (POCT) of cTnI using hierarchical dendritic copper-nickel (HD-nanoCu-Ni) nanostructures. The electrodeposited HD-nanoCu-Ni film (∼22 μm thick) on an ITO-coated glass substrate exhibits superior capillary action and structural integrity. These properties enable efficient sample transport and antibody immobilization, making it a compelling alternative to conventional multi-component paper-based LFIA test strips, which are often plagued by structural fragility and susceptibility to moisture damage. The biofunctionalized HD-nanoCu-Ni substrates were laser-etched with lateral flow channels, including a sample loading/conjugate release zone, a test zone, and a control zone. Numerical simulations were used to further optimize the design of these channels to achieve optimal fluid flow and target capture. The HD-nanoCu-Ni LFIA device utilizes a fluorescence quenching based sandwich immunoassay format using antibody-labeled gold nanoparticles (AuNPs) as quenchers. Two different fluorescent materials, fluorescein isothiocyanate (FITC) and CdSe@ZnS quantum dots (QDs), were used as background fluorophores in the device. Upon the formation of a sandwich immunocomplex with cTnI on the HD-nanoCu-Ni device, introduced AuNPs led to the fluorescence quenching of the background fluorophores. The total assay time was approximately 15 min, demonstrating the rapid and efficient nature of the HD-nanoCu-Ni LFIA platform. For FITC, both inner filter effect (IFE) and fluorescence resonance energy transfer (FRET) contributed to the AuNP-mediated quenching. In the case of CdSe@ZnS QDs, IFE dominated the AuNP-induced quenching. Calibration curves were established based on the relationship between the fluorescence quenching intensity and cTnI concentration in human serum samples, ranging from 0.5 to 128 ng/mL. The limits of detection (LODs) were determined to be 0.27 ng/mL and 0.40 ng/mL for FITC and CdSe@ZnS QDs, respectively. A method comparison study using Passing-Bablok regression analysis on varying cTnI concentrations in human serum samples confirmed the equivalence of the HD-nanoCu-Ni LFIA platform to a commercial fluorescence cTnI LFIA assay kit, with no significant systematic or proportional bias observed.
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Affiliation(s)
- Yuxin Tan
- Guangxi Key Laboratory of Electrochemical and Magneto-chemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China
| | - Shirong Zhang
- Guangxi Key Laboratory of Electrochemical and Magneto-chemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China
| | - Yilei Liu
- Guangxi Key Laboratory of Electrochemical and Magneto-chemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China
| | - Jishun Li
- College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China
| | - Shenglan Zhang
- College of Mechanical and Control Engineering, Guilin University of Technology, Guilin, 541004, China
| | - Hongcheng Pan
- Guangxi Key Laboratory of Electrochemical and Magneto-chemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China; College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
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Sun Q, Ning Q, Li T, Jiang Q, Feng S, Tang N, Cui D, Wang K. Immunochromatographic enhancement strategy for SARS-CoV-2 detection based on nanotechnology. NANOSCALE 2023; 15:15092-15107. [PMID: 37676509 DOI: 10.1039/d3nr02396f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
The global outbreak of coronavirus disease 2019 (COVID-19) has been catastrophic to both human health and social development. Therefore, developing highly reliable and sensitive point-of-care testing (POCT) for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a priority. Among all available POCTs, the lateral flow immunoassay (LFIA, also known as immunochromatography) has proved to be effective due to its accuracy, portability, convenience, and speed. In areas with a scarcity of laboratory resources and medical personnel, the LFIA provides an affordable option for the diagnosis of COVID-19. This review offers a comprehensive overview of methods for improving the sensitivity of SARS-CoV-2 detection using immunochromatography based on nanotechnology, sorted according to the different detection targets (antigens, antibodies, and nucleic acids). It also looks into the performance and properties of the various sensitivity enhancement strategies, before delving into the remaining challenges in COVID-19 diagnosis through LFIA. Ultimately, it seeks to provide helpful guidance in selecting an appropriate strategy for SARS-CoV-2 immunochromatographic detection based on nanotechnology.
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Affiliation(s)
- Qingwen Sun
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Qihong Ning
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Tangan Li
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Qixia Jiang
- Department of Cardiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China
| | - Shaoqing Feng
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Ning Tang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Daxiang Cui
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
| | - Kan Wang
- School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), Shanghai, 200240, China.
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Pei F, Feng S, Hu W, Liu B, Mu X, Hao Q, Cao Y, Lei W, Tong Z. Sandwich mode lateral flow assay for point-of-care detecting SARS-CoV-2. Talanta 2023; 253. [PMCID: PMC9612878 DOI: 10.1016/j.talanta.2022.124051] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The global corona virus disease 2019 (COVID-19) has been announced a pandemic outbreak, and has threatened human life and health seriously. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as its causative pathogen, is widely detected in the screening of COVID-19 patients, infected people and contaminated substances. Lateral flow assay (LFA) is a popular point-of-care detection method, possesses advantages of quick response, simple operation mode, portable device, and low cost. Based on the above advantages, LFA has been widely developed for detecting SARS-CoV-2. In this review, we summarized the articles about the sandwich mode LFA detecting SARS-CoV-2, classified according to the target detection objects indicating genes, nucleocapsid protein, spike protein, and specific antibodies of SARS-CoV-2. In each part, LFA is further classified and summarized according to different signal detection types. Additionally, the properties of the targets were introduced to clarify their detection significance. The review is expected to provide a helpful guide for LFA sensitization and marker selection of SARS-CoV-2.
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Affiliation(s)
- 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
| | - 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
| | - Wei Hu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Yang Cao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,Corresponding author
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China,Corresponding author
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Calidonio JM, Gomez-Marquez J, Hamad-Schifferli K. Nanomaterial and interface advances in immunoassay biosensors. THE JOURNAL OF PHYSICAL CHEMISTRY. C, NANOMATERIALS AND INTERFACES 2022; 126:17804-17815. [PMID: 38957865 PMCID: PMC11218816 DOI: 10.1021/acs.jpcc.2c05008] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Biosensors have been used for a remarkable array of applications, including infectious diseases, environmental monitoring, cancer diagnosis, food safety, and numerous others. In particular, the global COVID-19 pandemic has exposed a need for rapid tests, so the type of biosensor that has gained considerable interest recently are immunoassays, which are used for rapid diagnostics. The performance of paper-based lateral flow and dipstick immunoassays is influenced by the physical properties of the nanoparticles (NPs), NP-antibody conjugates, and paper substrate. Many materials innovations have enhanced diagnostics by increasing sensitivity or enabling unique readouts. However, negative side effects can arise at the interface between the biological sample and biomolecules and the NP or paper substrate, such as non-specific adsorption and protein denaturation. In this Perspective, we discuss the immunoassay components and highlight chemistry and materials innovations that can improve sensitivity. We also explore the range of bio-interface issues that can present challenges for immunoassays.
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Affiliation(s)
| | | | - Kimberly Hamad-Schifferli
- Department of Engineering, University of Massachusetts Boston, Boston, MA 02125
- School for the Environment, University of Massachusetts Boston, Boston, MA 02125
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