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Xu X, Zhu L, Wang X, Lan X, Chu H, Tian H, Xu W. Sandwich capture ultrasensitive sensor based on biohybrid interface for the detection of Cronobacter sakazakii. Appl Microbiol Biotechnol 2022; 106:4287-4296. [PMID: 35616722 DOI: 10.1007/s00253-022-11978-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/04/2022] [Accepted: 05/10/2022] [Indexed: 11/29/2022]
Abstract
A simple, rapid and ultrasensitive visual sensing method for the detection of Cronobacter sakazakii (C. sakazakii) based on a biohybrid interface was established. During the entire sensing process, quadruple-cascade amplification showed its superior sensing performance. First, the prepared immunomagnetic beads (IMB) were used to isolate and enrich specific targets from the food matrix. After adding the fusion aptamer, the aptamer sequence specifically recognized the target and formed the immune sandwich structure of antibody-target-fusion aptamer. In addition, the fusion aptamer also included the template sequence of exponential amplification reaction (EXPAR), which contained the antisense sequence of the G-rich sequence. Therefore, a large number of G-rich sequences can be generated after EXPAR can be triggered in the presence of Bst. DNA polymerase, nicking endonuclease, cDNA, and dNTP. They were self-assembled into G-quadruplex structures and then combined with hemin to form G4/hemin DNAzyme, resulting in visible coloration and measuring absorbance at 450 nm for quantitative detection. The assay showed a limit of detection (LOD) of 2 CFU/mL in pure culture and 12 CFU/g in milk powder in optimal conditions. This method provides a promising strategy for rapid and point-of-care testing (POCT) since it does not require DNA extraction, medium culturing, and expensive instrumentation. KEY POINTS: •Single-cell level detection of C. sakazakii with ultrasensitive and rapidness •The fusion aptamer integrated recognition and amplification •Sensing analysis of C. sakazakii based on cascade amplification of biohybrid interface.
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Affiliation(s)
- Xiuyuan Xu
- College of Food Science and Technology, Hebei Agricultural University, Baoding, Hebei, 071001, People's Republic of China
| | - Longjiao Zhu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health (Institute of Nutrition and Health), China Agricultural University, Tianxiu Road 10, Beijing, 100083, People's Republic of China
| | - Xinxin Wang
- College of Food Science and Technology, Hebei Agricultural University, Baoding, Hebei, 071001, People's Republic of China
| | - Xinyue Lan
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health (Institute of Nutrition and Health), China Agricultural University, Tianxiu Road 10, Beijing, 100083, People's Republic of China
| | - Huashuo Chu
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), Beijing Laboratory for Food Quality and Safety, College of Food Science & Nutritional Engineering, Beijing, 100083, People's Republic of China
| | - Hongtao Tian
- College of Food Science and Technology, Hebei Agricultural University, Baoding, Hebei, 071001, People's Republic of China.
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health (Institute of Nutrition and Health), China Agricultural University, Tianxiu Road 10, Beijing, 100083, People's Republic of China. .,Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), Beijing Laboratory for Food Quality and Safety, College of Food Science & Nutritional Engineering, Beijing, 100083, People's Republic of China.
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Huang Z, Chen H, Ye H, Chen Z, Jaffrezic-Renault N, Guo Z. An ultrasensitive aptamer-antibody sandwich cortisol sensor for the noninvasive monitoring of stress state. Biosens Bioelectron 2021; 190:113451. [PMID: 34171819 DOI: 10.1016/j.bios.2021.113451] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/13/2021] [Accepted: 06/16/2021] [Indexed: 11/19/2022]
Abstract
Cortisol is a major glucocorticoid that can affect physiological activities in the human body. Besides, it is also a biomarker that can reflect the stress state of the body. Therefore, in order to monitor stress states in a sensitive and non-invasive manner, an ultra-sensitive aptamer-antibody sandwich sensor modified with multi-walled carbon nanotubes, ordered mesoporous carbon CMK-3, and silver nanoparticles (MWCNTs/CMK-3/AgNPs) was proposed for non-invasive detection of cortisol in human saliva. The MWCNTs/CMK-3/AgNPs nanocomposite was fixed on the surface of the glassy carbon electrodes (GCEs) as the material for the first round of signal amplification, and secondary signal amplification was realized by conjugating cortisol antibodies with gold nanoparticles (AuNPs). Finally, the aptamer-antibody sandwich pattern was used to specifically recognize and bind cortisol. The concentration response range for this aptamer-antibody sandwich sensor is 0.1 pg/mL-10 ng/mL, and the limit of detection (LOD) is 0.09 pg/mL. So far, the LOD of this sensor has been relatively low, showing its good sensitivity, selectivity, stability, and reproducibility. Furthermore, it has been successfully applied to detect cortisol in saliva samples to compare the stress states of postgraduates and undergraduates.
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Affiliation(s)
- Ziyu Huang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, PR China; School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, PR China
| | - Hao Chen
- Department of Anaesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Huarong Ye
- China Resources and Wisco General Hospital, Wuhan, 430080, PR China
| | - Zixuan Chen
- Department of Clinical Medicine, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, PR China
| | - Nicole Jaffrezic-Renault
- University of Lyon, Institute of Analytical Sciences, UMR-CNRS 5280, 5, La Doua Street, Villeurbanne, 69100, France.
| | - Zhenzhong Guo
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, PR China.
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