1
|
Lipovka A, Fatkullin M, Averkiev A, Pavlova M, Adiraju A, Weheabby S, Al-Hamry A, Kanoun O, Pašti I, Lazarevic-Pasti T, Rodriguez RD, Sheremet E. Surface-Enhanced Raman Spectroscopy and Electrochemistry: The Ultimate Chemical Sensing and Manipulation Combination. Crit Rev Anal Chem 2024; 54:110-134. [PMID: 35435777 DOI: 10.1080/10408347.2022.2063683] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
One of the lessons we learned from the COVID-19 pandemic is that the need for ultrasensitive detection systems is now more critical than ever. While sensors' sensitivity, portability, selectivity, and low cost are crucial, new ways to couple synergistic methods enable the highest performance levels. This review article critically discusses the synergetic combinations of optical and electrochemical methods. We also discuss three key application fields-energy, biomedicine, and environment. Finally, we selected the most promising approaches and examples, the open challenges in sensing, and ways to overcome them. We expect this work to set a clear reference for developing and understanding strategies, pros and cons of different combinations of electrochemical and optical sensors integrated into a single device.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Olfa Kanoun
- Technische Universität Chemnitz, Chemnitz, Germany
| | - Igor Pašti
- Faculty of Physical Chemistry, University of Belgrade, Belgrade, Serbia
| | - Tamara Lazarevic-Pasti
- Department of Physical Chemistry, "VINČA" Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, Vinca, Serbia
| | | | | |
Collapse
|
2
|
Wang Z, Wang Y, Zhang Y, Qin G, Sun W, Wang A, Wang Y, Zhang G, Zhao J. On-site detection and differentiation of African swine fever virus variants using an orthogonal CRISPR-Cas12b/Cas13a-based assay. iScience 2024; 27:109050. [PMID: 38571763 PMCID: PMC10987800 DOI: 10.1016/j.isci.2024.109050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/14/2023] [Accepted: 01/23/2024] [Indexed: 04/05/2024] Open
Abstract
The African swine fever virus (ASFV) and its variants have induced substantial economic losses in China, prompting a critical need for efficient detection methods. Several PCR-based methods have been developed to discriminate between wild-type ASFV and gene-deleted variants. However, the requirement for sophisticated equipment and skilled operators limits their use in field settings. Here, we developed a CRISPR-Cas12b/Cas13a-based detection assay that can identify ASFV variants with minimal equipment requirements and a short turnaround time. The assay utilizes the distinct DNA/RNA collateral cleavage preferences of Cas12b/Cas13a to detect two amplified targets from multiplex recombinase polymerase amplification (RPA) in a single tube, and the results can be visualized through fluorescent or lateral-flow readouts. When tested with clinical samples in field settings, our assay successfully detected all ASFV-positive samples in less than 60 min. This assay provides a rapid on-site surveillance tool for detecting ASFV and its emerging variants.
Collapse
Affiliation(s)
- Zhe Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
- Longhu Laboratory, Zhengzhou 450046, China
- Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Yu Wang
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Zhang
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Guosong Qin
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Wenbo Sun
- Shandong Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
- Longhu Laboratory, Zhengzhou 450046, China
- Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
| | - Yanfang Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Gaiping Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
- Longhu Laboratory, Zhengzhou 450046, China
- Henan Key Laboratory of Immunobiology, Zhengzhou 450001, China
- School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Jianguo Zhao
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Science, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| |
Collapse
|
3
|
Geng L, Sun J, Liu M, Huang J, Dong J, Guo Z, Guo Y, Sun X. Molecularly imprinted polymers-aptamer electrochemical sensor based on dual recognition strategy for high sensitivity detection of chloramphenicol. Food Chem 2024; 437:137933. [PMID: 37951077 DOI: 10.1016/j.foodchem.2023.137933] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 11/13/2023]
Abstract
In this paper, an electrochemical sensor based on a dual recognition strategy of molecularly imprinted polymers (MIPs) and aptamer (Apt) has been designed for the high sensitivity detection of chloramphenicol (CAP). Here, MIPs and Apt have provided dual recognition sites to greatly improve the specific recognition ability of the sensor. Chitosan-multi-walled carbon nanotubes (CS-MWNTs) and AuNPs (gold nanoparticles) have been used for their excellent electrical conductivity. When CAP existed in the detection environment, the imprinted cavities with specific recognition ability bound to CAP through forces such as hydrogen bonds. It hindered the rate of electron transfer and resulted in a decrease in current value. Quantitative detection of CAP could be achieved after analyzing the relationship between the concentration of CAP and the change of current value. After optimizing the experimental parameters, the detection range of the sensor was 10-8 g/L-10-2 g/L with the limit of detection of 3.3 × 10-9 g/L, indicating that the sensor had a high practical application potential.
Collapse
Affiliation(s)
- Lingjun Geng
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Jiashuai Sun
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Mengyue Liu
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Jingcheng Huang
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Jiwei Dong
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Zhen Guo
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China
| | - Yemin Guo
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China.
| | - Xia Sun
- School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China; Zibo City Key Laboratory of Agricultural Product Safety Traceability, No. 266 Xincun Xilu, Zibo, Shandong 255049, China.
| |
Collapse
|
4
|
Duan M, Li B, He Y, Zhao Y, Liu Y, Zou B, Liu Y, Chen J, Dai R, Li X, Jia F. A CG@MXene nanocomposite-driven E-CRISPR biosensor for the rapid and sensitive detection of Salmonella Typhimurium in food. Talanta 2024; 266:125011. [PMID: 37544254 DOI: 10.1016/j.talanta.2023.125011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 07/19/2023] [Accepted: 07/28/2023] [Indexed: 08/08/2023]
Abstract
In this study, we developed a novel electrochemical biosensor based on CRISPR/Cas12a (E-CRISPR) for the rapid and sensitive detection of Salmonella Typhimurium (S. Typhimurium). The CRISPR/Cas12a system was applied to identify S. Typhimurium gene and induce signal changes in electrochemical measurement. The colloidal gold and MXene (CG@MXene) nanocomposites were synthesized and immobilized to improve the performance of the biosensor by decreasing the background noise. The formation process of CG@MXene was well characterized, and experiment conditions were fully optimized. Under the optimal conditions, the proposed E-CRISPR biosensor exhibited excellent sensitivity for S. Typhimurium, with a limit of detection (LOD) of 160 CFU/mL, and great specificity against other common foodborne pathogens. Furthermore, the feasibility of the E-CRISPR biosensor was evaluated by analyzing S. Typhimurium-spiked chicken samples, with a recovery rate ranging from 100.46% to 106.37%. In summary, this research proposed a novel E-CRISPR biosensor from a new perspective to detect S. Typhimurium which can be an alternative approach for bacterial detection in the food supply chain.
Collapse
Affiliation(s)
- Miaolin Duan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Bingyan Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yawen He
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Yijie Zhao
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yana Liu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Bo Zou
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yi Liu
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Juhong Chen
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA
| | - Ruitong Dai
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Xingmin Li
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Fei Jia
- Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, 72701, USA.
| |
Collapse
|
5
|
Rizzotto F, Khalife M, Hou Y, Chaix C, Lagarde F, Scaramozzino N, Vidic J. Recent Advances in Electrochemical Biosensors for Food Control. MICROMACHINES 2023; 14:1412. [PMID: 37512723 PMCID: PMC10384134 DOI: 10.3390/mi14071412] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023]
Abstract
The rapid and sensitive detection of food contaminants is becoming increasingly important for timely prevention and treatment of foodborne disease. In this review, we discuss recent developments of electrochemical biosensors as facile, rapid, sensitive, and user-friendly analytical devices and their applications in food safety analysis, owing to the analytical characteristics of electrochemical detection and to advances in the design and production of bioreceptors (antibodies, DNA, aptamers, peptides, molecular imprinted polymers, enzymes, bacteriophages, etc.). They can offer a low limit of detection required for food contaminants such as allergens, pesticides, antibiotic traces, toxins, bacteria, etc. We provide an overview of a broad range of electrochemical biosensing designs and consider future opportunities for this technology in food control.
Collapse
Affiliation(s)
- Francesco Rizzotto
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy en Josas, France
| | - Majd Khalife
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy en Josas, France
| | - Yanxia Hou
- University Grenoble Alpes, CEA, CNRS, IRIG-SYMMES, 38000 Grenoble, France
| | - Carole Chaix
- University Lyon, CNRS, University Claude Bernard Lyon 1, Institute of Analytical Sciences, 5 Rue de la Doua, 69100 Villeurbanne, France
| | - Florence Lagarde
- University Lyon, CNRS, University Claude Bernard Lyon 1, Institute of Analytical Sciences, 5 Rue de la Doua, 69100 Villeurbanne, France
| | | | - Jasmina Vidic
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy en Josas, France
| |
Collapse
|
6
|
Rahn KL, Peramune U, Zhang T, Anand RK. Label-Free Electrochemical Methods for Disease Detection. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:49-69. [PMID: 36854209 DOI: 10.1146/annurev-anchem-091622-085754] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Label-free electrochemical biosensing leverages the advantages of label-free techniques, low cost, and fewer user steps, with the sensitivity and portability of electrochemical analysis. In this review, we identify four label-free electrochemical biosensing mechanisms: (a) blocking the electrode surface, (b) allowing greater access to the electrode surface, (c) changing the intercalation or electrostatic affinity of a redox probe to a biorecognition unit, and (d) modulating ion or electron transport properties due to conformational and surface charge changes. Each mechanism is described, recent advancements are summarized, and relative advantages and disadvantages of the techniques are discussed. Furthermore, two avenues for gaining further diagnostic information from label-free electrochemical biosensors, through multiplex analysis and incorporating machine learning, are examined.
Collapse
Affiliation(s)
- Kira L Rahn
- Department of Chemistry, Colorado State University, Fort Collins, Colorado, USA
- Department of Chemistry, Iowa State University, Ames, Iowa, USA;
| | - Umesha Peramune
- Department of Chemistry, Iowa State University, Ames, Iowa, USA;
| | - Tianyi Zhang
- Department of Chemistry, Iowa State University, Ames, Iowa, USA;
| | - Robbyn K Anand
- Department of Chemistry, Iowa State University, Ames, Iowa, USA;
| |
Collapse
|
7
|
Alhazmi HA, Albratty M. Analytical Techniques for the Characterization and Quantification of Monoclonal Antibodies. Pharmaceuticals (Basel) 2023; 16:291. [PMID: 37259434 PMCID: PMC9967501 DOI: 10.3390/ph16020291] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 08/12/2023] Open
Abstract
Monoclonal antibodies (mAbs) are a fast-growing class of biopharmaceuticals. They are widely used in the identification and detection of cell makers, serum analytes, and pathogenic agents, and are remarkably used for the cure of autoimmune diseases, infectious diseases, or malignancies. The successful application of therapeutic mAbs is based on their ability to precisely interact with their appropriate target sites. The precision of mAbs rely on the isolation techniques delivering pure, consistent, stable, and safe lots that can be used for analytical, diagnostic, or therapeutic applications. During the creation of a biologic, the key quality features of a particular mAb, such as structure, post-translational modifications, and activities at the biomolecular and cellular levels, must be characterized and profiled in great detail. This implies the requirement of powerful state of the art analytical techniques for quality control and characterization of mAbs. Until now, various analytical techniques have been developed to characterize and quantify the mAbs according to the regulatory guidelines. The present review summarizes the major techniques used for the analyses of mAbs which include chromatographic, electrophoretic, spectroscopic, and electrochemical methods in addition to the modifications in these methods for improving the quality of mAbs. This compilation of major analytical techniques will help students and researchers to have an overview of the methodologies employed by the biopharmaceutical industry for structural characterization of mAbs for eventual release of therapeutics in the drug market.
Collapse
Affiliation(s)
- Hassan A. Alhazmi
- Department of Pharmaceutical Chemistry and Pharmacognosy, College of Pharmacy, Jazan University, Jazan 45142, Saudi Arabia
- Substance Abuse and Toxicology Research Centre, Jazan University, Jazan 45142, Saudi Arabia
| | - Mohammed Albratty
- Department of Pharmaceutical Chemistry and Pharmacognosy, College of Pharmacy, Jazan University, Jazan 45142, Saudi Arabia
| |
Collapse
|
8
|
Wang A, Li Y, You X, Zhang S, Zhou J, Liu H, Ding P, Chen Y, Qi Y, Liu Y, Liang C, Zhu X, Zhang Y, Liu E, Zhang G. Electrochemical immunosensor nanoarchitectonics with the Ag-rGO nanocomposites for the detection of receptor-binding domain of SARS-CoV-2 spike protein. J Solid State Electrochem 2023; 27:489-499. [PMID: 36466035 PMCID: PMC9707143 DOI: 10.1007/s10008-022-05330-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/27/2022] [Accepted: 11/01/2022] [Indexed: 11/30/2022]
Abstract
As the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a grave threat to human life and health, it is essential to develop an efficient and sensitive detection method to identify infected individuals. This study described an electrode platform immunosensor to detect SARS-CoV-2-specific spike receptor-binding domain (RBD) protein based on a bare gold electrode modified with Ag-rGO nanocomposites and the biotin-streptavidin interaction system. The Ag-rGO nanocomposites was obtained by chemical synthesis and characterized by electrochemistry and scanning electron microscope (SEM). Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to record the electrochemical signals in the electrode modification. The differential pulse voltammetry (DPV) results showed that the limit of detection (LOD) of the immunosensor was 7.2 fg mL-1 and the linear dynamic detection range was 0.015 ~ 158.5 pg mL-1. Furthermore, this sensitive immunosensor accurately detected RBD in artificial saliva with favorable stability, specificity, and reproducibility, indicating that it has the potential to be used as a practical method for the detection of SARS-CoV-2.
Collapse
Affiliation(s)
- Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- Longhu Laboratory of Advanced Immunology, Zhengzhou, Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Yuya Li
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Xiaojuan You
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Shoutao Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Jingming Zhou
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Hongliang Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Peiyang Ding
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Yumei Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Yanhua Qi
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Yankai Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Chao Liang
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Xifang Zhu
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Ying Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Enping Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| | - Gaiping Zhang
- School of Advanced Agricultural Sciences, Peking University, Beijing, 100871 China
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001 Henan China
- Longhu Laboratory of Advanced Immunology, Zhengzhou, Henan China
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002 Henan China
| |
Collapse
|
9
|
Bao F, Liang Z, Deng J, Lin Q, Li W, Peng Q, Fang Y. Toward intelligent food packaging of biosensor and film substrate for monitoring foodborne microorganisms: A review of recent advancements. Crit Rev Food Sci Nutr 2022; 64:3920-3931. [PMID: 36300845 DOI: 10.1080/10408398.2022.2137774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Microorganisms in food do harms to human. They can cause serious adverse reactions and sometimes even death. So it is an urgent matter to find an effective method to control them. The research of intelligent- biosensor packaging is in the ascendant in recent years, which is mainly promoted by reflecting on food safety and reducing resource waste. Intelligent biosensor-packaging is an instant and efficient intelligent packaging technology, which can directly and scientifically manifest the quality of food without complex operation. In this review, the purposes of providing relevant information on intelligent biosensor-packaging are reviewed, such as types of biosensors for monitoring foodborne microorganism, the suitable material for intelligent biosensor-packaging and design and fabrication of intelligent biosensor-packaging. The potential of intelligent biosensor-packaging in the detection of foodborne microorganisms is emphasized. The challenges and directions of the intelligent biosensor-packaging in the detection of foodborne pathogens are discussed. With the development of science and technology in the future, the intelligent biosensor-packaging should be commercialized in a real sense. And it is expected that commercial products can be manufactured in the future, which will provide a far-reaching approach in food safety and food prevention. HighlightsSeveral biosensors are suitable for the detection of food microorganisms.Plastic polymer is an excellent choice for the construction of intelligent biosensor packaging.Design and fabrication can lay the foundation for intelligent-biosensor packaging.Intelligent biosensor-packaging can realize fast and real-time detection of microorganisms in food.
Collapse
Affiliation(s)
- Feng Bao
- Hunan Province Key Laboratory of Edible forestry Resource Safety and Processing Utilization, National Engineering Research Center of Rice and Byproduct Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
- College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, JiangShu, Nanjing, China
| | - Zhao Liang
- Institute of Micro/Nano Materials and Devices, Ningbo University of Technology, Ningbo City, P. R. China
| | - Jing Deng
- Hunan Province Key Laboratory of Edible forestry Resource Safety and Processing Utilization, National Engineering Research Center of Rice and Byproduct Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
| | - Qinlu Lin
- Hunan Province Key Laboratory of Edible forestry Resource Safety and Processing Utilization, National Engineering Research Center of Rice and Byproduct Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
- College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, JiangShu, Nanjing, China
| | - Wen Li
- Hunan Province Key Laboratory of Edible forestry Resource Safety and Processing Utilization, National Engineering Research Center of Rice and Byproduct Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
- College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, JiangShu, Nanjing, China
| | - Qiong Peng
- Hunan Province Key Laboratory of Edible forestry Resource Safety and Processing Utilization, National Engineering Research Center of Rice and Byproduct Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China
| | - Yong Fang
- College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, JiangShu, Nanjing, China
| |
Collapse
|
10
|
Yan Z, Xing J, He R, Guo Q, Li J. Probe-Integrated Label-Free Electrochemical Immunosensor Based on Binary Nanocarbon Composites for Detection of CA19-9. Molecules 2022; 27:molecules27206778. [PMID: 36296370 PMCID: PMC9607002 DOI: 10.3390/molecules27206778] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 09/25/2022] [Accepted: 10/01/2022] [Indexed: 11/16/2022] Open
Abstract
Convenient and sensitive detection of tumor biomarkers is crucial for the early diagnosis and treatment of cancer. Herein, we present a probe-integrated and label-free electrochemical immunosensor based on binary nanocarbon composites and surface-immobilized methylene blue (MB) redox probes for detection of carbohydrate antigen 199 (CA19-9), which is closely associated with gastric malignancies. Nanocarbon composites consisting of electrochemically reduced graphene oxides and carbon nanotubes (ErGO-CNT) are electrodeposited onto an indium tin oxide (ITO) electrode surface to form a 3D nanocomposite film, which could provide high surface area to immobilize abundant MB probes, facilitate the electron transfer of MB, and therefore, improve sensitivity. Polydopamine (PDA) served as a bifunctional linker is able to immobilize anti-CA19-9 antibodies and stabilize the inner probe, conferring the sensing interface with specific recognition capacity. Electrochemical detection of CA19-9 is achieved based on the decrease of the redox signal of MB after specific binding of CA19-9 with a wide linear range of 0.1 mU/mL to 100 U/mL and a limit of detection (LOD) of 0.54 nU/mL (S/N = 3). The constructed electrochemical immunosensor has good selectivity, repeatability, reproducibility, and stability. Furthermore, determination of CA19-9 in human serum samples is also realized.
Collapse
Affiliation(s)
- Zhengzheng Yan
- General Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - Jun Xing
- Department of Breast Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
- Correspondence:
| | - Ruochong He
- General Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - Qinping Guo
- General Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| | - Ji Li
- General Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China
| |
Collapse
|
11
|
Wang Y, Ma D, Zhang G, Wang X, Zhou J, Chen Y, You X, Liang C, Qi Y, Li Y, Wang A. An Electrochemical Immunosensor Based on SPA and rGO-PEI-Ag-Nf for the Detection of Arsanilic Acid. Molecules 2021; 27:molecules27010172. [PMID: 35011402 PMCID: PMC8746453 DOI: 10.3390/molecules27010172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/19/2021] [Accepted: 12/21/2021] [Indexed: 12/02/2022] Open
Abstract
A sensitive electrochemical immunosensor was prepared for rapid detection of ASA based on arsanilic acid (ASA) monoclonal antibody with high affinity. In the preparation of nanomaterials, polyethyleneimine (PEI) improved the stability of the solution and acted as a reducing agent to generate reduced graphene oxide (rGO) with relatively strong conductivity, thereby promoting the transfer of electrons. The dual conductivity of rGO and silver nanoparticles (AgNPs) improved the sensitivity of the sensor. The synthesis of nanomaterials were confirmed by UV-Vis spectroscopy, X-ray diffraction, transmission electron microscopy and scanning electron microscopy. In the optimal experiment conditions, the sensor could achieve the detection range of 0.50–500 ng mL−1 and the limit of detection (LOD) of 0.38 ng mL−1 (S/N = 3). Moreover, the sensor exhibited excellent specificity and acceptable stability, suggesting that the proposed sensor possessed a good potential in ASA detection. Thus, the as-prepared biosensor may be a potential way for detecting other antibiotics in meat and animal-derived foods.
Collapse
Affiliation(s)
- Yanwei Wang
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Dongdong Ma
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Gaiping Zhang
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Xuannian Wang
- School of Life Science and Basic Medicine, Xinxiang University, Xinxiang 453003, China;
| | - Jingming Zhou
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Yumei Chen
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Xiaojuan You
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Chao Liang
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Yanhua Qi
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Yuya Li
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
| | - Aiping Wang
- School of Life Science, Zhengzhou University, Zhengzhou 450000, China; (Y.W.); (D.M.); (G.Z.); (J.Z.); (Y.C.); (X.Y.); (C.L.); (Y.Q.); (Y.L.)
- Correspondence:
| |
Collapse
|