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Lin D, Meng Z, Han C, Hong Y, Yang L. Rapid Dynamic Surface-Enhanced Raman Spectroscopy Detection of Amoxicillin-Mediated Morphological Changes in a Pathogen for Diagnosis of Clinical Urine Samples. ACS APPLIED MATERIALS & INTERFACES 2024; 16:64609-64616. [PMID: 39540231 DOI: 10.1021/acsami.4c16588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
The swift and stable detection of pathogens in urine samples holds significant implications for the immediate clinical diagnosis and treatment of urinary tract infections (UTIs). In this study, we propose a detection strategy utilizing a hybrid substrate composed of graphene oxide (GO) and silver nanoparticles (Ag NPs) for the detection of pathogens subjected to amoxicillin-mediated (amo-mediated) treatment. This strategy employs dynamic surface-enhanced Raman spectroscopy (D-SERS) for stable and rapid detection, capturing signal variations induced by amo-mediated changes in pathogen morphology. During the 5 min D-SERS detection time window, stable SERS signals were detected for three types of pathogens and four types of pathogens were successfully distinguished using principal component analysis (PCA). In comparison to conventional nanosubstrates, the GO/Ag NP hybrid substrate exhibits outstanding stability and enhancement effects. This approach enables the dual detection of the pathogen cell structure and metabolites, facilitating specific identification of pathogens in the urinary tract, with a detection limit for Escherichia coli reaching 1 × 104 colony-forming units (CFU)/mL, meeting the clinical microbiology laboratory diagnostic standards for UTIs (105 CFU/mL). Testing of 188 clinically collected urine samples using this strategy yielded a sensitivity (SENS) of 86.4% and a specificity (SPC) of 89.7%. This introduces a novel method for diagnosing UTIs, offering broad applications in the field of clinical pathogen detection.
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Affiliation(s)
- Dongyue Lin
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, People's Republic of China
| | - Zhicai Meng
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, People's Republic of China
| | - Cong Han
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, People's Republic of China
- Anhui Medical University, Hefei, Anhui 230032, People's Republic of China
| | - Yan Hong
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, People's Republic of China
| | - Liangbao Yang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, People's Republic of China
- Department of Pharmacy, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, Anhui 230031, People's Republic of China
- Anhui Medical University, Hefei, Anhui 230032, People's Republic of China
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2
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Wu T, Liu Y, Zhou S, Li J, Sun G, Gu B, Wang C. Wheat Germ Agglutinin-Modified "Three-in-One" Multifunctional Probe Driven Broad-Spectrum and Flexible Immunochromatographic Diagnosis of viruses With High Sensitivity. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2406053. [PMID: 39439187 DOI: 10.1002/smll.202406053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 10/09/2024] [Indexed: 10/25/2024]
Abstract
The conventional lateral flow assay (LFA) fails to the demands for the accurate screening of viruses as a result of its low sensitivity of colorimetric signal output and poor universality limited by antibody pairs. Here, a magnetically assisted dual-signal output LFA platform is developed for the ultrasensitive, universal, and flexible detection of viruses. A "three-in-one" multifunctional probe (MAuDQD) is prepared using a 180 nm Fe3O4 core to load numerous Au nanoparticles (NPs) and two layers of QDs, which can substantially improve the sensitivity of LFA through coupling with the effects of magnetic enrichment and colorimetric/fluorescent enhancement. Wheat germ agglutinin (WGA)-modified MAuDQD attained the broad-spectrum capture viral membrane proteins and the colorimetric/fluorescent dual-mode detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and monkeypox virus (MPXV) on the LFA strip. In the colorimetric mode, the target viruses detected directly, with the visual sensitivity reaching 0.1-0.5 ng mL-1 and the fluorescent mode supported quantitative analysis of SARS-CoV-2/MPXV with limits of detection decreasing to pg mL-1 level. Practicability of the MAuDQD@WGA-LFA is verified through the detection of 33 real clinical samples, showing the proposed assay has a great potential to become a sensitive, accurate, and universal tool for on-site monitoring of viral infections.
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Affiliation(s)
- Ting Wu
- Beijing Key Laboratory of Environmental and Viral Oncology, College of Chemistry and Life Science, Beijing University of Technology, Beijing, 100124, China
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Yun Liu
- Beijing Key Laboratory of Environmental and Viral Oncology, College of Chemistry and Life Science, Beijing University of Technology, Beijing, 100124, China
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Sihai Zhou
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Guohui Sun
- Beijing Key Laboratory of Environmental and Viral Oncology, College of Chemistry and Life Science, Beijing University of Technology, Beijing, 100124, China
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Chongwen Wang
- Beijing Key Laboratory of Environmental and Viral Oncology, College of Chemistry and Life Science, Beijing University of Technology, Beijing, 100124, China
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
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3
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Chen Y, Ye B, Ning M, Li M, Pu Y, Liu Z, Zhong H, Hu C, Guo Z. Food-borne bacteria analysis using a diatomite bioinspired SERS platform. J Mater Chem B 2024; 12:5974-5981. [PMID: 38809058 DOI: 10.1039/d4tb00488d] [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: 05/30/2024]
Abstract
Rapid and sensitive detection of food-borne bacteria has remained challenging over the past few decades. We propose a surface-enhanced Raman scattering sensing strategy based on a novel bioinspired surface-enhanced Raman scattering substrate, which can directly detect dye molecular residues and food-borne pathogen microorganisms in the environment. The surface-enhanced Raman scattering platform consists of a natural diatomite microporous array decorated with a metal-phenolic network that enables the in situ reduction of gold nanoparticles. The as-prepared nanocomposites display excellent surface-enhanced Raman scattering activity with the lowest limit of detection and the maximum Raman enhancement factor of dye molecules up to 10-11 M and 1.18 × 107, respectively. For food-borne bacterial detection, a diatomite microporous array decorated with a metal polyphenol network and gold nanoparticle-based surface-enhanced Raman scattering analysis is capable of distinguishing the biochemical fingerprint information of Staphylococcus aureus and Escherichia coli, indicating the great potential for strain identification.
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Affiliation(s)
- Yikai Chen
- Healthy Medical Engineering Technology Research Center, Guangdong Food and Drug Vocational College, Guangzhou 510520, P. R. China
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
| | - Binggang Ye
- Healthy Medical Engineering Technology Research Center, Guangdong Food and Drug Vocational College, Guangzhou 510520, P. R. China
| | - Mengling Ning
- Healthy Medical Engineering Technology Research Center, Guangdong Food and Drug Vocational College, Guangzhou 510520, P. R. China
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
| | - Meng Li
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
| | - Yixuan Pu
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
| | - Zhiming Liu
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
| | - Huiqing Zhong
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
| | - Chaofan Hu
- College of Materials and Energy, South China Agricultural University, Guangzhou 510642, P. R. China.
| | - Zhouyi Guo
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China.
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4
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Guo X. Research progress on the detection of foodborne pathogens based on aptamer recognition. Mikrochim Acta 2024; 191:318. [PMID: 38727855 DOI: 10.1007/s00604-024-06375-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 04/20/2024] [Indexed: 05/15/2024]
Abstract
Foodborne diseases caused by bacterial contamination are a serious threat to food safety and human health. The classical plate culture method has the problems of long detection cycle, low sensitivity and specificity, and complicated operation, which cannot meet the growing demand for rapid quantitative detection of pathogenic bacteria. The frequent outbreak of foodborne diseases has put forward higher requirements for rapid and simple detection technology of foodborne pathogens. Aptamer is a kind of oligonucleotide fragment that can recognize targets with the advantages of high affinity and good specificity. The target can be range from proteins, small molecules, cells bacteria, and even viruses. Herein, the latest advances in sensitive and rapid detection of foodborne pathogens based on aptamer recognition was reviewed. Special attention has been paid to the obtained sequences of aptamers to various foodborne pathogens, the optimization of sequences, and the mechanism of aptamer recognition. Then, the research progress of biosensors for the detection of pathogenic bacteria based on aptamer recognition were summarized. Some challenges and prospects for the detection of foodborne pathogens based on aptamer recognition were prospected. In summary, with the further deepening of aptamer research and improvement of detection technology, aptamer-based recognition can meet the needs of rapid, sensitive, and accurate detection in practical applications.
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Affiliation(s)
- Xianglin Guo
- School of Food Science and Technology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
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Zhang Y, Tian G, Sun X, Yang X, Zhang Y, Tan W, Duan L, Gao S, Yu J. Ultrasensitive colorimetric detection of Staphylococcus aureus using wheat germ agglutinin and IgY as a dual-recognition strategy. Mikrochim Acta 2024; 191:209. [PMID: 38499840 DOI: 10.1007/s00604-024-06288-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/26/2024] [Indexed: 03/20/2024]
Abstract
A novel colorimetric platform was designed for the determination of S. aureus by utilizing a dual-recognition strategy, where wheat germ agglutinin (WGA)-functionalized magnetic beads were served as separation elements to capture and enrich S. aureus efficiently from the matrix. Horseradish peroxidase (HRP) labeled chicken anti-protein A IgY (HRP-IgY) was used to label the captured S. aureus. A chicken IgY was introduced as a signal tracer to bind with staphylococcal protein A (SPA) on the surface of S. aureus, which can circumvent the interference from protein G-producing Streptococcus. Subsequently, the colorimetric signal was achieved by an HRP-catalyzed reaction, which was amplified by HRP-IgY bound by approximately 80,000 SPA molecules on one S. aureus. The entire detection process could be accomplished within 90 min. Under optimal conditions, the linear response of different S. aureus concentrations ranged from 7.8 × 102 to 2.0 × 105 CFU/mL and the limit of detection reached down to 3.9 × 102 CFU/mL. Some common non-target bacteria yielded negative results, indicating the excellent specificity of the method. The developed strategy was successfully applied to the determination of S. aureus in various types of samples with satisfactory recoveries. Therefore, the novel dual-recognition strategy possessed the advantages of high sensitivity, specificity, and low cost and exhibited considerable potential as a promising tool to defend public health.
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Affiliation(s)
- Yun Zhang
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China
| | - Ge Tian
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China
| | - Xueni Sun
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China
| | - Xiaoli Yang
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China
| | - Yi Zhang
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China
| | - Wenqing Tan
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China
| | - Liangwei Duan
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China.
| | - Shunxiang Gao
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
| | - Junping Yu
- Laboratory of Infection and Immunology, School of Medical Technology, Xinxiang Medical University, Xinxiang, 453003, People's Republic of China.
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China.
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6
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Ma Y, Wei H, Wang Y, Cheng X, Chen H, Yang X, Zhang H, Rong Z, Wang S. Efficient magnetic enrichment cascade single-step RPA-CRISPR/Cas12a assay for rapid and ultrasensitive detection of Staphylococcus aureus in food samples. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133494. [PMID: 38228008 DOI: 10.1016/j.jhazmat.2024.133494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/18/2024]
Abstract
Staphylococcus aureus (S. aureus) is a prevalent foodborne pathogen that could cause severe food poisoning. Thus, rapid, efficient, and ultrasensitive detection of S. aureus in food samples is urgently needed. Here, we report an efficient magnetic enrichment cascade single-step recombinase polymerase amplification (RPA)-CRISPR/Cas12a assay for the ultrasensitive detection of S. aureus. Magnetic beads (MBs) functionalized with S. aureus-specific antibodies were initially used for S. aureus enrichment from the complex matrix, with 98% capture efficiency in 5 min and 100-fold sensitivity improvement compared with unenriched S. aureus. Next, a single-step RPA-CRISPR/Cas12a-based diagnostic system with optimized extraction-free bacteria lysis was constructed. This assay could detect as low as 1 copy/μL (five copies/reaction) of extracted DNA template and 10 CFU/mL of S. aureus within 40 min. Furthermore, the assay could effectively detect S. aureus in real food samples such as lake water, orange juice, pork, and lettuce, with concordant results to qPCR assays. The proposed cascade signal-amplification assay eliminates the need for lengthy bacterial culture and complex sample preparation steps. Hence, the proposed assay shows great application potential for rapid, efficient, and ultrasensitive detection of pathogens in real food samples.
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Affiliation(s)
- Yujie Ma
- College of Chemistry and Life Sciences, Beijing University of Technology, Beijing 100124, PR China; Bioinformatics Center of AMMS, Beijing 100850, PR China
| | - Hongjuan Wei
- Bioinformatics Center of AMMS, Beijing 100850, PR China
| | - Yunxiang Wang
- Bioinformatics Center of AMMS, Beijing 100850, PR China
| | - Xiaodan Cheng
- Bioinformatics Center of AMMS, Beijing 100850, PR China
| | - Hong Chen
- Bioinformatics Center of AMMS, Beijing 100850, PR China
| | | | - Hongsheng Zhang
- College of Chemistry and Life Sciences, Beijing University of Technology, Beijing 100124, PR China.
| | - Zhen Rong
- Bioinformatics Center of AMMS, Beijing 100850, PR China.
| | - Shengqi Wang
- Bioinformatics Center of AMMS, Beijing 100850, PR China.
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7
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Zheng K, Shen Y, Chen Z, Zhao L, Li Z, Huang X, Shi J, Zhang Y, Xu X, Zhu Z, Jiang Z, Zhang M, Zou X. Bimetallic AuNR@AgNCs for ultrasensitive surface-enhanced Raman scattering sensing of dithianon in apple juice. Anal Chim Acta 2024; 1292:342199. [PMID: 38309856 DOI: 10.1016/j.aca.2023.342199] [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: 06/28/2023] [Revised: 11/21/2023] [Accepted: 12/31/2023] [Indexed: 02/05/2024]
Abstract
In this study, a bimetallic surfaced-enhanced Raman spectroscopy (SERS)-active substrate consisting of AuNR@AgNCs was proposed for the rapid detection of dithianon. Due to the significant synergistic enhancement of the core-shell nanocuboids, the obtained AuNR@AgNC substrate exhibited excellent SERS performance. The simulation findings supported the practical SERS results and demonstrated that interactions were mainly maintained by the nitrile functional group. The AuNR@AgNCs could be used to detect dithianon with an LOD value of 20 nM. Moreover, dithianon in river water and apple juice could be detected with recovery in the satisfactory ranges of 97.41%-98.35% and 97.77%-98.70%, respectively, by using this substrate under optimal conditions, indicating that the AuNR@AgNC substrate could serve as an excellent SERS detection platform for pesticide residues in fruit.
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Affiliation(s)
- Kaiyi Zheng
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
| | - Ye Shen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Zhiyang Chen
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Lina Zhao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Zhihua Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Xiaowei Huang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Jiyong Shi
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Yang Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Xuechao Xu
- School of Food Science and Engineering, Yangzhou University, Yangzhou, 225127, Jiangsu, China.
| | - Zitao Zhu
- Department of Physics, East China University of Science and Technology, Shanghai, 200237, China
| | - Zhaoqiong Jiang
- Sichuan Research & Design Institute of Agricultural Machinery, Key Laboratory of Agricultural Equipment Technology for Hilly and Mountainous Areas, Ministry of Agriculture and Rural Affairs, Chengdu, 610066, Sichuan, China.
| | - Meng Zhang
- Department of Physics, East China University of Science and Technology, Shanghai, 200237, China.
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
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8
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Zheng S, Xiao J, Zhang J, Sun Q, Liu D, Liu Y, Gao X. Python-assisted detection and photothermal inactivation of Salmonella typhimurium and Staphylococcus aureus on a background-free SERS chip. Biosens Bioelectron 2024; 247:115913. [PMID: 38091898 DOI: 10.1016/j.bios.2023.115913] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/09/2023] [Accepted: 12/03/2023] [Indexed: 01/02/2024]
Abstract
In this study, a background-free surface-enhanced Raman scattering (SERS) chip with a sandwich configuration was fabricated to enable reliable detection and photothermal inactivation of multiple bacteria. The SERS chip consists of a graphene-coated, phenylboronic-modified plasmonic gold substrate (pAu/G/PBA), and two aptamer-functionalized core (gold)-shell (Prussian blue/Poly-L-lysine and 4-mercaptobenzonitrile/polydopamine) SERS tags (Au@PB@PLL@Apt and Au@MB@PDA@Apt). The detection signals rely on the characteristic and nonoverlapping Raman bands of the SERS tags within the Raman-silent region (1800-2800 cm-1), where no background signals from the sample matrix are observed, leading to improved detection sensitivity and accuracy. Considering the relatively large size of bacteria (e.g., micron level), a rapid Raman mapping technique was chosen over conventional point-scan methods to achieve more reliable quantitative analysis of bacteria. This technique involves collecting and analyzing intensity signals of SERS tags from all the scattering points with an average ensemble effect, which is facilitated by the use of Python. As a proof-of-concept, model bacterium of Salmonella typhimurium and Staphylococcus aureus were successfully detected using the SERS chip with a dynamic range of 10-107 CFU/mL. Additionally, the SERS chip demonstrated successful detection of these bacteria in whole blood samples. Moreover, the photothermal effect of pAu/G led to efficient bacteria elimination, achieving approximately 100% eradication. This study integrated a background-free SERS chip with a Python-assisted rapid Raman mapping technique, resulting in a reliable, rapid and accurate method for detecting and eliminating multiple bacteria, which may provide a promising alternative for multiple screening of bacteria in real samples.
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Affiliation(s)
- Shuo Zheng
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jinru Xiao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Jing Zhang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Qixiu Sun
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Dingbin Liu
- College of Chemistry, Nankai University, Tianjin, 300071, China
| | - Yaqing Liu
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Xia Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, China.
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9
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Guo R, Wang J, Zhao W, Cui S, Qian S, Chen Q, Li X, Liu Y, Zhang Q. A novel strategy for specific sensing and inactivation of Escherichia coli: Constructing a targeted sandwich-type biosensor with multiple SERS hotspots to enhance SERS detection sensitivity and near-infrared light-triggered photothermal sterilization performance. Talanta 2024; 269:125466. [PMID: 38008021 DOI: 10.1016/j.talanta.2023.125466] [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: 07/03/2023] [Revised: 10/12/2023] [Accepted: 11/21/2023] [Indexed: 11/28/2023]
Abstract
Human health is greatly threatened by bacterial infection, which raises the risk of serious illness and death in humans. For early screening and accurate treatment of bacterial infection, there is a strong desire to undertake ultrasensitive detection and effective killing of pathogenic bacteria. Herein, a novel surface-enhanced Raman scattering (SERS) biosensor based on sandwich structure consisting of capture probes/bacteria/SERS tags was established for specific identification, capture and photothermal killing of Escherichia coli (E. coli). Finite-difference time-domain (FDTD) technique was used to simulate the electromagnetic field distribution of capture probes, SERS tags and sandwich-type SERS substrate, and a possible SERS enhancement mechanism based on sandwich structure was presented and discussed. Sandwich-type SERS biosensor successfully achieved distinctive identification and magnetic beneficiation of E. coli. In addition, a single SERS substrate, including capture probes and SERS tags, could also achieve outstanding photothermal effects as a consequence of localized surface plasmon resonance (LSPR) effect. Intriguingly, sandwich-type SERS biosensor demonstrated a higher photothermal conversion efficiency (50.03 %) than the single substrate, which might be attributed to the formation of target bacterial clusters. The superior biocompatibility and the low toxicity of the sandwich-type biosensor were confirmed. Our approach offers a fresh method for constructing sandwich-type biosensor with multiple SERS hotspots based on extremely effective hybrid plasmonic nanoparticles, and has a wide range of potential applications in the recognition and treatment of bacteria.
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Affiliation(s)
- Rui Guo
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China
| | - Jingru Wang
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China
| | - Wenshi Zhao
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Sicheng Cui
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China
| | - Sihan Qian
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China
| | - Qiuxu Chen
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China
| | - Xue Li
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China
| | - Yang Liu
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China.
| | - Qi Zhang
- Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, China.
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10
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Xiao Y, Luo S, Qiu J, Zhang Y, Liu W, Zhao Y, Zhu Y, Deng Y, Lu M, Liu S, Lin Y, Huang A, Wang W, Hu X, Gu B. Highly sensitive SERS platform for pathogen analysis by cyclic DNA nanostructure@AuNP tags and cascade primer exchange reaction. J Nanobiotechnology 2024; 22:75. [PMID: 38408974 PMCID: PMC10895721 DOI: 10.1186/s12951-024-02339-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/09/2024] [Indexed: 02/28/2024] Open
Abstract
The capacity to identify small amounts of pathogens in real samples is extremely useful. Herein, we proposed a sensitive platform for detecting pathogens using cyclic DNA nanostructure@AuNP tags (CDNA) and a cascade primer exchange reaction (cPER). This platform employs wheat germ agglutinin-modified Fe3O4@Au magnetic nanoparticles (WMRs) to bind the E. coli O157:H7, and then triggers the cPER to generate branched DNA products for CDNA tag hybridization with high stability and amplified SERS signals. It can identify target pathogens as low as 1.91 CFU/mL and discriminate E. coli O157:H7 in complex samples such as water, milk, and serum, demonstrating comparable or greater sensitivity and accuracy than traditional qPCR. Moreover, the developed platform can detect low levels of E. coli O157:H7 in mouse serum, allowing the discrimination of mice with early-stage infection. Thus, this platform holds promise for food analysis and early infection diagnosis.
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Affiliation(s)
- Yunju Xiao
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Shihua Luo
- Center for Clinical Laboratory Diagnosis and Research, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi of Guangxi Higher Education Institutions, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
| | - Jiuxiang Qiu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
- Department of Laboratory Medicine, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510515, People's Republic of China
| | - Ye Zhang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Weijiang Liu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Yunhu Zhao
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - YiTong Zhu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Yangxi Deng
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Mengdi Lu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Suling Liu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Yong Lin
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Aiwei Huang
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Wen Wang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
| | - Xuejiao Hu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
| | - Bing Gu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
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11
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Kim HR, Joe C, Hwang ET, Gu MB, Kim BC. Group selective aptamers: Broad-spectrum recognition of target groups in Cronobacter species and implementation of electrochemical biosensors as receptors. Biosens Bioelectron 2024; 246:115843. [PMID: 38006700 DOI: 10.1016/j.bios.2023.115843] [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: 09/21/2023] [Revised: 11/02/2023] [Accepted: 11/14/2023] [Indexed: 11/27/2023]
Abstract
Aptamers are a versatile class of receptors with a high affinity and selectivity for specific targets. Although their ability to recognize individual targets has been extensively studied, some scenarios require the development of receptors capable of identifying all target groups. This study investigated the use of aptamers to achieve the broad-spectrum recognition of groups instead of individual targets. Aptamers were screened for selectively distinct groups of Cronobacter species associated with foodborne diseases. Seven Cronobacter spp. were divided into Group A (C. sakazakii, C. malonaticus, C. turicensis, and C. muytjensii) and Group B (C. dublinensis, C. condimenti, and C. universalis). Aptamers with exclusive selectivity for each group were identified, allowing binding to the species within their designated group while excluding those from the other group. The screened aptamers demonstrated reliable affinity and specificity with dissociation constants ranging from 1.3 to 399.7 nM for Group A and 4.0-24.5 nM for Group B. These aptamers have also been successfully employed as receptors in an electrochemical biosensor platform, enabling the selective detection of each group based on the corresponding aptamer (limit of detection was 7.8 and 3.2 CFU for Group A and Group B, respectively). The electrochemical sensor effectively detected the extent of infection in each group in powdered infant formula samples. This study highlights the successful screening and application of group-selective aptamers as sensing receptors, emphasizing their potential for diverse applications in different fields such as food safety, environmental monitoring, and clinical diagnostics, where the selective biosensing of target groups is crucial.
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Affiliation(s)
- Hye Ri Kim
- Center for Sustainable Environment Research, Korea Institute of Science and Technology (KIST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Cheulmin Joe
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea
| | - Ee Taek Hwang
- Department of Food Biotechnology, Dong-A University, Busan, Republic of Korea
| | - Man Bock Gu
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
| | - Byoung Chan Kim
- Center for Sustainable Environment Research, Korea Institute of Science and Technology (KIST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea; Division of Energy and Environment Technology, KIST School, University of Science and Technology (UST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea.
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12
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Cheng S, Tu Z, Zheng S, Khan A, Yang P, Shen H, Gu B. Development of a Magnetically-Assisted SERS Biosensor for Rapid Bacterial Detection. Int J Nanomedicine 2024; 19:389-401. [PMID: 38250194 PMCID: PMC10799629 DOI: 10.2147/ijn.s433316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/31/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction Ultrasensitive bacterial detection methods are crucial to ensuring accurate diagnosis and effective clinical monitoring, given the significant threat bacterial infections pose to human health. The aim of this study is to develop a biosensor with capabilities for broad-spectrum bacterial detection, rapid processing, and cost-effectiveness. Methods A magnetically-assisted SERS biosensor was designed, employing wheat germ agglutinin (WGA) for broad-spectrum recognition and antibodies for specific capture. Gold nanostars (AuNSs) were sequentially modified with the Raman reporter molecules and WGA, creating a versatile SERS tag with high affinity for a diverse range of bacteria. Staphylococcus aureus (S. aureus) and Pseudomonas aeruginosa (P. aeruginosa) antibody-modified Fe3O4 magnetic gold nanoparticles (MGNPs) served as the capture probes. Target bacteria were captured by MGNPs and combined with SERS tags, forming a "sandwich" composite structure for bacterial detection. Results AuNSs, with a core size of 65 nm, exhibited excellent storage stability (RSD=5.6%) and demonstrated superior SERS enhancement compared to colloidal gold nanoparticles. Efficient binding of S. aureus and P. aeruginosa to MGNPs resulted in capture efficiencies of 89.13% and 85.31%, respectively. Under optimized conditions, the developed assay achieved a limit of detection (LOD) of 7 CFU/mL for S. aureus and 5 CFU/mL for P. aeruginosa. The bacterial concentration (10-106 CFU/mL) showed a strong linear correlation with the SERS intensity at 1331 cm-1. Additionally, high recoveries (84.8% - 118.0%) and low RSD (6.21% - 11.42%) were observed in spiked human urine samples. Conclusion This study introduces a simple and innovative magnetically-assisted SERS biosensor for the sensitive and quantitative detection of S. aureus or P. aeruginosa, utilizing WGA and antibodies. The developed biosensor enhances the capabilities of the "sandwich" type SERS biosensor, offering a novel and effective platform for accurate and timely clinical diagnosis of bacterial infections.
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Affiliation(s)
- Siyun Cheng
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
- Medical Technology School of Xuzhou Medical University, Xuzhou, People’s Republic of China
| | - Zhijie Tu
- Medical Technology School of Xuzhou Medical University, Xuzhou, People’s Republic of China
| | - Shuai Zheng
- Department of Clinical Laboratory Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Adeel Khan
- Department of Biotechnology, University of Science and Technology, Bannu, KP, Pakistan
| | - Ping Yang
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Han Shen
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Bing Gu
- Medical Technology School of Xuzhou Medical University, Xuzhou, People’s Republic of China
- Department of Clinical Laboratory Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
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13
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Yu Q, Wu T, Tian B, Li J, Liu Y, Wu Z, Jin X, Wang C, Wang C, Gu B. Recent advances in SERS-based immunochromatographic assay for pathogenic microorganism diagnosis: A review. Anal Chim Acta 2024; 1286:341931. [PMID: 38049231 DOI: 10.1016/j.aca.2023.341931] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 12/06/2023]
Abstract
Infectious diseases caused by bacteria, viruses, fungi, and other pathogenic microorganisms are among the most harmful public health problems in the world, causing tens of millions of deaths and incalculable economic losses every year. The establishment of rapid, simple, and highly sensitive diagnostic methods for pathogenic microorganisms is important for the prevention and control of infectious diseases, guidance of timely treatment, and the reduction of public safety risks. Lateral flow immunoassay (LFA) based on the colorimetric signal of colloidal gold is the most popular point-of-care testing technology at present, but it is limited by poor sensitivity and low throughput and hardly meets the needs of the highly sensitive screening of pathogenic microorganisms. In recent years, the combination of surface-enhanced Raman scattering (SERS) and LFA technology has developed into a novel analytical platform with high sensitivity and multiple detection capabilities and has shown great advantages in the detection of pathogenic microorganisms and infectious diseases. This review summarizes the working principle, design ideas, and application of the existing SERS-based LFA methods in pathogenic microorganism detection and further introduces the effect of new technologies such as Raman signal encoding, magnetic enrichment, novel membrane nanotags, and integrated Raman reading equipment on the performance of SERS-LFA. Finally, the main challenges and the future direction of development in this field of SERS-LFA are discussed.
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Affiliation(s)
- Qing Yu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Ting Wu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Benshun Tian
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Yun Liu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Zelan Wu
- Guangzhou Labway Clinical Laboratory Co., Ltd, Guangdong, 510000, China
| | - Xiong Jin
- Guangzhou Labway Clinical Laboratory Co., Ltd, Guangdong, 510000, China
| | - Chaoguang Wang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China.
| | - Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China.
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14
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Farka Z, Brandmeier JC, Mickert MJ, Pastucha M, Lacina K, Skládal P, Soukka T, Gorris HH. Nanoparticle-Based Bioaffinity Assays: From the Research Laboratory to the Market. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307653. [PMID: 38039956 DOI: 10.1002/adma.202307653] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/16/2023] [Indexed: 12/03/2023]
Abstract
Advances in the development of new biorecognition elements, nanoparticle-based labels as well as instrumentation have inspired the design of new bioaffinity assays. This review critically discusses the potential of nanoparticles to replace current enzymatic or molecular labels in immunoassays and other bioaffinity assays. Successful implementations of nanoparticles in commercial assays and the need for rapid tests incorporating nanoparticles in different roles such as capture support, signal generation elements, and signal amplification systems are highlighted. The limited number of nanoparticles applied in current commercial assays can be explained by challenges associated with the analysis of real samples (e.g., blood, urine, or nasal swabs) that are difficult to resolve, particularly if the same performance can be achieved more easily by conventional labels. Lateral flow assays that are based on the visual detection of the red-colored line formed by colloidal gold are a notable exception, exemplified by SARS-CoV-2 rapid antigen tests that have moved from initial laboratory testing to widespread market adaption in less than two years.
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Affiliation(s)
- Zdeněk Farka
- Department of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
| | - Julian C Brandmeier
- Department of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- Institute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Universitätsstr. 31, 93053, Regensburg, Germany
| | | | - Matěj Pastucha
- Department of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- TestLine Clinical Diagnostics, Křižíkova 188, Brno, 612 00, Czech Republic
| | - Karel Lacina
- CEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
| | - Petr Skládal
- Department of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
| | - Tero Soukka
- Department of Life Technologies/Biotechnology, University of Turku, Kiinamyllynkatu 10, Turku, 20520, Finland
| | - Hans H Gorris
- Department of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
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15
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Li P, Li T, Feng X, Liu D, Zhong Q, Fang X, Liao Z, Wang J, Xiao M, Wang L. A micro-carbon nanotube transistor for ultra-sensitive, label-free, and rapid detection of Staphylococcal enterotoxin C in food. JOURNAL OF HAZARDOUS MATERIALS 2023; 449:131033. [PMID: 36812728 DOI: 10.1016/j.jhazmat.2023.131033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 02/02/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Staphylococcal enterotoxin C (SEC) is an enterotoxin produced by Staphylococcus aureus, which can cause intestinal diseases. Therefore, it is of great significance to develop a sensitive detection method for SEC to ensure food safety and prevent foodborne diseases in humans. A field-effect transistor (FET) based on high-purity carbon nanotubes (CNTs) was used as a transducer, and a nucleic acid aptamer with high affinity was used for recognition to capture the target. The results indicated that the biosensor achieved an ultra-low theoretical detection limit of 1.25 fg/mL in PBS, and its good specificity was verified by detecting target analogs. Three typical food homogenates were used as the solution to be measured to verify that the biosensor had a swift response time (within 5 min after sample addition). An additional study with a more significant basa fish sample response also showed excellent sensitivity (theoretical detection limit of 8.15 fg/mL) and a stable detection ratio. In summary, this CNT-FET biosensor enabled the label-free, ultra-sensitive, and fast detection of SEC in complex samples. The FET biosensors could be further used as a universal biosensor platform for the ultrasensitive detection of multiple biological toxic pollutants, thus considerably stopping the spread of harmful substances.
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Affiliation(s)
- Pengzhen Li
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Tingxian Li
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, China
| | - Xiaoxuan Feng
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Daohe Liu
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Qingping Zhong
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiang Fang
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhenlin Liao
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Jie Wang
- College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Mengmeng Xiao
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, China.
| | - Li Wang
- College of Food Science, South China Agricultural University, Guangzhou 510642, China.
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16
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Tu J, Wu T, Yu Q, Li J, Zheng S, Qi K, Sun G, Xiao R, Wang C. Introduction of multilayered magnetic core-dual shell SERS tags into lateral flow immunoassay: A highly stable and sensitive method for the simultaneous detection of multiple veterinary drugs in complex samples. JOURNAL OF HAZARDOUS MATERIALS 2023; 448:130912. [PMID: 36758436 DOI: 10.1016/j.jhazmat.2023.130912] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/15/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Direct, convenient, and sensitive monitoring of the residues of multiple drugs in complex environments is important but remains a challenge. Here, we report a surface-enhanced Raman scattering (SERS)-based multiplexed lateral flow immunoassay (LFA) that supports the simultaneous and sensitive detection of commonly used drugs kanamycin, ractopamine, clenbuterol, and chloramphenicol in unprocessed complex samples through the dual signal amplification strategy of numerous efficient hotspots and magnetic enrichment. Multilayered magnetic-core dual-shell nanoparticles (MDAu@Ag) with controllable subtle nanogaps were fabricated via the polyethyleneimine-mediated layer-by-layer (LBL) assembly of two layers of Au@Ag satellites onto superparamagnetic Fe3O4 cores and conjugated with specific antibodies as multifunctional tags in the LFA system for rapid capture, separation, and quantitative analysis. Two Raman reporters were embedded in internal nanogaps and modified on the surface of MDAu@Ag for the simultaneous and ultrasensitive detection of four targets on two test lines, which greatly simplified the fabrication and signal reading of SERS-LFA. The proposed assay can rapidly detect multiple drug residues in 35 min with detection limits down to pg/mL level. Moreover, the MDAu@Ag-based SERS-LFA demonstrated better stability, higher throughput, and superior sensitivity (at least 400 times) than traditional colloidal gold immunochromatography, showing its great potential in the field of point-of-care testing.
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Affiliation(s)
- Jian Tu
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Ting Wu
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Qing Yu
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Jiaxuan Li
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; Beijing Institute of Microbiology and Epidemiology, Beijing 100850, PR China
| | - Shuai Zheng
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Kezong Qi
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Guohui Sun
- Beijing Key Laboratory of Environmental and Viral Oncology, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, PR China.
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing 100850, PR China.
| | - Chongwen Wang
- Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; Beijing Institute of Microbiology and Epidemiology, Beijing 100850, PR China; College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China; Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
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17
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Kim HR, Kim BC. Development of multi-reactive aptamers for Cronobacter spp. using the sequential partitioning method to detect them in powdered infant formula. Anal Chim Acta 2023; 1249:340935. [PMID: 36868770 DOI: 10.1016/j.aca.2023.340935] [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: 12/21/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023]
Abstract
Cronobacter spp. are opportunistic foodborne pathogens typically detected in contaminated powdered infant formula (PIF). Thus, the rapid detection and control of Cronobacter spp. are required to prevent outbreaks, necessitating the development of specific aptamers. In this study, we isolated aptamers specific to all seven species of Cronobacter (C. sakazakii, C. malonaticus, C. turicensis, C. muytjensii, C. dublinensis, C. condimenti, and C. universalis) using a newly proposed sequential partitioning method. This method avoids the repeated enrichment steps, reducing the total aptamer selection time compared with the conventional systematic evolution of ligands by the exponential enrichment (SELEX) process. We isolated four aptamers showing high affinity and specificity for all seven species of Cronobacter, with dissociation constants of 3.7-86.6 nM. This represents the first successful isolation of aptamers for multiple targets using the sequential partitioning method. Further, the selected aptamers could effectively detect Cronobacter spp. in contaminated PIF.
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Affiliation(s)
- Hye Ri Kim
- Center for Sustainable Environment Research, Korea Institute of Science and Technology (KIST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea; Division of Energy and Environment Technology, KIST School, University of Science and Technology (UST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Byoung Chan Kim
- Center for Sustainable Environment Research, Korea Institute of Science and Technology (KIST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea; Division of Energy and Environment Technology, KIST School, University of Science and Technology (UST), Hwarangno 14-gil 5, Seongbuk-gu, Seoul, 02792, Republic of Korea.
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18
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Zhao W, Yang S, Zhang D, Zhou T, Huang J, Gao M, Jiang Y, Liu Y, Yang J. Ultrasensitive dual-enhanced sandwich strategy for simultaneous detection of Escherichia coli and Staphylococcus aureus based on optimized aptamers-functionalized magnetic capture probes and graphene oxide-Au nanostars SERS tags. J Colloid Interface Sci 2023; 634:651-663. [PMID: 36549213 DOI: 10.1016/j.jcis.2022.12.077] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/09/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
In this work, a novel surface-enhanced Raman scattering (SERS) sandwich strategy biosensing platform has been established for simultaneously detecting Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). Fe3O4@SiO2-Au nanocomposites (NCs) with varying amounts of Au nanocrystals were prepared, and the effect of interparticle gaps on SERS activity was studied by finite-difference time-domain (FDTD) method. The optimal magnetic SERS-active substrates (FS-A5) were functionalized with the specific aptamers to act as capture probes. Meanwhile, graphene oxide-Au nanostars (GO-Au NSs) decorated with Raman reporters and aptamers were used as SERS tags. The loading density of Au NSs on GO was tuned to change the number of SERS active sites. In this proposal, E. coli and S. aureus were first captured by capture probes and then bound with SERS tags to form a sandwich-like structure, which caused enhanced electromagnetic field because of the dual enhancement strategy. Under optimal conditions, SERS platform could detect E. coli and S. aureus simultaneously, and the detection limit was as low as 10 cfu/mL. Our sandwich assay-based dual-enhanced SERS platform provides a new idea for simultaneously detecting multiple pathogens with high selectivity and sensitivity, and thus will have more hopeful prospects in the field of food safety.
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Affiliation(s)
- Wenshi Zhao
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuo Yang
- College of Science, Changchun University, Changchun 130022, China
| | - Daxin Zhang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianxiang Zhou
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Jie Huang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Ming Gao
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yuhong Jiang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China
| | - Yang Liu
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China.
| | - Jinghai Yang
- Key Laboratory of Functional Materials Physics and Chemistry (Ministry of Education), College of Physics, Jilin Normal University, Changchun 130103, China.
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19
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Ultrasensitive hairpin mediated upconversion fluorescence biosensor for Staphylococcus aureus detection in foods and waters exploiting g-C 3N 4-assisted catalysis. Anal Chim Acta 2023; 1239:340738. [PMID: 36628775 DOI: 10.1016/j.aca.2022.340738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
A novel g-C3N4 nanosheets (g-C3N4 NSs)-assisted upconversion fluorescent aptasensor was proposed for Staphylococcus aureus (S. aureus) detection by adopting hybridization chain reaction (HCR) as a sensitizer. Two hairpin (H1 and H2) structured DNA probes were engineered predicated on the partial complementary sequence (cDNA) of S. aureus aptamer and modified on the exterior of the upconversion nanoparticles (UCNPs), respectively. The presence of S. aureus initiated the HCR system and activated H1 and H2 probes to form a double-helix away from the g-C3N4 NSs vicinity. This led to the decrease in peroxidase-like activity (PA) of the g-C3N4 NSs and corresponding fluorescence recovery proportional to the concentration of S. aureus (10-106 cfu mL-1). The method was applied to real food samples with acceptable recoveries (91.1-101.6%) and further validated by traditional plate counting method (p > 0.05).
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20
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Yi Y, Han Y, Cheng X, Zhang Z, Sun Y, Zhang K, Xu JJ. Three-Dimensional Surface-Enhanced Raman Scattering Platform with Hotspots Built by a Nano-mower for Rapid Detection of MRSA. Anal Chem 2022; 94:17205-17211. [PMID: 36446023 DOI: 10.1021/acs.analchem.2c03834] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) has become one of the greatest threats to human health due to its strong drug resistance, wide distribution range, and high infection rate. Rapid identification of MRSA strains is very important for accurate diagnosis and early treatment of MRSA infections. Here, we introduced an Exo III-assisted nanomotor mower to build 3D hotspots for rapid detection of MRSA by surface-enhanced Raman scattering (SERS). As the bacteria bound to the aptamer, two trigger chains were released from the double-stranded structure, and the nano-mowers were activated by opening a hairpin probe on gold nanoparticles (AuNPs). With the continued cleavage of Exo III and cyclic release of the trigger chain, multiple hairpin DNAs on the AuNPs were cleaved to increase the motor power. The resulting nano-mower continued slicing protective DNA from larger AuNPs, exposing the AuNPs. Without the protection of DNA, Mg2+ in the buffer induced spontaneous aggregation of the AuNPs, and a large number of hotspots were formed for SERS measurements. Under optimal conditions, MRSA can be detected within 40 min, and the concentration of MRSA showed a good linear relationship with the SERS intensity at 1342 cm-1, with a limit of detection as low as 1 CFU/mL and a wide linear range (100 to 107 CFU/mL). This strategy creates a rapid bacterial detection method that performs well on actual samples utilizing portable Raman spectroscopy instruments, with potential applications in food detection, water detection, clinical treatment, and diagnosis.
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Affiliation(s)
- Yang Yi
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma'anshan, Anhui 243032, P. R. China
| | - Yunxiang Han
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma'anshan, Anhui 243032, P. R. China
| | - Xi Cheng
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma'anshan, Anhui 243032, P. R. China
| | - Zhe Zhang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma'anshan, Anhui 243032, P. R. China
| | - Yudie Sun
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma'anshan, Anhui 243032, P. R. China
| | - Kui Zhang
- School of Chemistry and Chemical Engineering, Anhui University of Technology, Ma Xiang Road, Ma'anshan, Anhui 243032, P. R. China
| | - Jing-Juan Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, P. R. China
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21
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Li Y, Gao Y, Ling N, Shen Y, Zhang D, Ou D, Zhang X, Jiao R, Zhu C, Ye Y. Rapid and simple quantitative identification of Listeria monocytogenes in cheese by isothermal sequence exchange amplification based on surface-enhanced Raman spectroscopy. J Dairy Sci 2022; 105:9450-9462. [DOI: 10.3168/jds.2022-22181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/01/2022] [Indexed: 11/17/2022]
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22
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Zhang X, Zhang X, Xu A, Yu M, Xu Y, Xu Y, Wang C, Yang G, Song C, Wu X, Lu Y. Aptamer-Gated Mesoporous Silica Nanoparticles for N Protein Triggered Release of Remdesivir and Treatment of Novel Coronavirus (2019-nCoV). BIOSENSORS 2022; 12:950. [PMID: 36354459 PMCID: PMC9688528 DOI: 10.3390/bios12110950] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 06/16/2023]
Abstract
Since the 2019-nCoV outbreak was first reported, hundreds of millions of people all over the world have been infected. There is no doubt that improving the cure rate of 2019-nCoV is one of the most effective means to deal with the current serious epidemic. At present, Remdesivir (RDV) has been clinically proven to be effective in the treatment of SARS-CoV-2. However, the uncertain side effects make it important to reduce the use of drugs while ensuring the self-healing effect. We report an approach here with targeted therapy for the treatment of SARS-CoV-2 and other coronaviruses illness. In this study, mesoporous silica was used as the carrier of RDV, the nucleocapsid protein (N protein) aptamer was hybridized with the complementary chain, and the double-stranded DNA was combined with gold nanoparticles as the gates of mesoporous silica pores. When the RDV-loaded mesoporous silica is incubated with the N protein, aptamer with gold nanoparticles dissociate from the complementary DNA oligonucleotide on the mesoporous silica surface and bind to the N protein. The releasing of RDV was determined by detecting the UV-vis absorption peak of RDV in the solution. These results show that the RDV delivery system designed in this work has potential clinical application for the treatment of 2019-nCoV.
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Affiliation(s)
- Xiaohui Zhang
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Xin Zhang
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Aoqiong Xu
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Mengdi Yu
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Yu Xu
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Ying Xu
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Chao Wang
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Gege Yang
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
| | - Chunxia Song
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Anhui Agricultural University, Hefei 230036, China
| | - Xiangwei Wu
- Key Laboratory of Agri-Food Safety of Anhui Province, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
| | - Ying Lu
- Department of Applied Chemistry, Anhui Agricultural University, Hefei 230036, China
- Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Anhui Agricultural University, Hefei 230036, China
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Tu Z, Yang X, Dong H, Yu Q, Zheng S, Cheng X, Wang C, Rong Z, Wang S. Ultrasensitive Fluorescence Lateral Flow Assay for Simultaneous Detection of Pseudomonas aeruginosa and Salmonella typhimurium via Wheat Germ Agglutinin-Functionalized Magnetic Quantum Dot Nanoprobe. BIOSENSORS 2022; 12:942. [PMID: 36354451 PMCID: PMC9687718 DOI: 10.3390/bios12110942] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 10/21/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Point-of-care testing methods for the rapid and sensitive screening of pathogenic bacteria are urgently needed because of the high number of outbreaks of microbial infections and foodborne diseases. In this study, we developed a highly sensitive and multiplex lateral flow assay (LFA) for the simultaneous detection of Pseudomonas aeruginosa and Salmonella typhimurium in complex samples by using wheat germ agglutinin (WGA)-modified magnetic quantum dots (Mag@QDs) as a universal detection nanoprobe. The Mag@QDs-WGA tag with a 200 nm Fe3O4 core and multiple QD-formed shell was introduced into the LFA biosensor for the universal capture of the two target bacteria and provided the dual amplification effect of fluorescence enhancement and magnetic enrichment for ultra-sensitivity detection. Meanwhile, two antibacterial antibodies were separately sprayed onto the two test lines of the LFA strip to ensure the specific identification of P. aeruginosa and S. typhimurium through one test. The proposed LFA exhibited excellent analytical performance, including high capture rate (>80%) to the target pathogens, low detection limit (<30 cells/mL), short testing time (<35 min), and good reproducibility (relative standard deviation < 10.4%). Given these merits, the Mag@QDs-WGA-based LFA has a great potential for the on-site and real-time diagnosis of bacterial samples.
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Affiliation(s)
- Zhijie Tu
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
- Medical Technology School, Xuzhou Medical University, Xuzhou 221004, China
| | - Xingsheng Yang
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
| | - Hao Dong
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230036, China
| | - Qing Yu
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Shuai Zheng
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230036, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Xiaodan Cheng
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
| | - Chongwen Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
- Medical Technology School, Xuzhou Medical University, Xuzhou 221004, China
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, China
| | - Zhen Rong
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
| | - Shengqi Wang
- Beijing Institute of Microbiology and Epidemiology, Beijing 100089, China
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24
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Tu Z, Cheng S, Dong H, Wang W, Yang X, Gu B, Wang S, Wang C. Universal and ultrasensitive detection of foodborne bacteria on a lateral flow assay strip by using wheat germ agglutinin-modified magnetic SERS nanotags. RSC Adv 2022; 12:27344-27354. [PMID: 36276007 PMCID: PMC9513757 DOI: 10.1039/d2ra04735g] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/20/2022] [Indexed: 11/21/2022] Open
Abstract
Rapid, direct and sensitive detection of foodborne bacteria in complex samples is still challenging. Here, we reported a universal surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) for highly sensitive detection of foodborne bacteria in food and environmental samples using wheat germ agglutinin (WGA)-modified Fe3O4@Au (Au@MNP-WGA) nanotags. The Au@MNP-WGA tag with numerous intraparticle hotspots was integrated into the LFA system for the first time, which can not only greatly improve the detection sensitivity through the dual amplification effect of magnetic enrichment and SERS enhancement but also achieve the broad-spectrum capture of multiple bacteria. In addition, monoclonal antibodies were separately immobilized onto the test line of different LFA strips to ensure the specific detection of different target pathogens. With this strategy, the proposed assay can achieve the universal and highly sensitive determination of three common foodborne bacteria, namely, Listeria monocytogenes, Campylobacter jejuni, and Staphylococcus aureus, with low detection limit (10 cells mL-1), short testing time (<35 min), and high reproducibility (RSD < 8.14%). Given its good stability and accuracy in complex samples, the Au@MNP-WGA-based SERS-LFA has great potential to be a powerful tool for the universal and on-site detection of different foodborne pathogens.
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Affiliation(s)
- Zhijie Tu
- Medical Technology School of Xuzhou Medical University Xuzhou 221004 PR China +86-83827812-62461 +86-0551-65786423
- Beijing Institute of Microbiology and Epidemiology Beijing 100850 PR China +86-10-66931423
| | - Siyun Cheng
- Medical Technology School of Xuzhou Medical University Xuzhou 221004 PR China +86-83827812-62461 +86-0551-65786423
| | - Hao Dong
- University of Science and Technology of China Hefei 230036 PR China
| | - Wenqi Wang
- Beijing Institute of Microbiology and Epidemiology Beijing 100850 PR China +86-10-66931423
| | - Xingsheng Yang
- Beijing Institute of Microbiology and Epidemiology Beijing 100850 PR China +86-10-66931423
| | - Bing Gu
- Medical Technology School of Xuzhou Medical University Xuzhou 221004 PR China +86-83827812-62461 +86-0551-65786423
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences Guangzhou 510000 PR China
| | - Shengqi Wang
- Beijing Institute of Microbiology and Epidemiology Beijing 100850 PR China +86-10-66931423
| | - Chongwen Wang
- Medical Technology School of Xuzhou Medical University Xuzhou 221004 PR China +86-83827812-62461 +86-0551-65786423
- Beijing Institute of Microbiology and Epidemiology Beijing 100850 PR China +86-10-66931423
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences Guangzhou 510000 PR China
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25
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Shen W, Wang C, Zheng S, Jiang B, Li J, Pang Y, Wang C, Hao R, Xiao R. Ultrasensitive multichannel immunochromatographic assay for rapid detection of foodborne bacteria based on two-dimensional film-like SERS labels. JOURNAL OF HAZARDOUS MATERIALS 2022; 437:129347. [PMID: 35753301 DOI: 10.1016/j.jhazmat.2022.129347] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/30/2022] [Accepted: 06/08/2022] [Indexed: 05/26/2023]
Abstract
Rapid and sensitive detection of multiple foodborne bacteria without DNA amplification is still challenging. Here, we proposed an immunochromatographic assay (ICA) with multiplex analysis ability and high sensitivity for direct detection of bacteria in real food samples, based on an improved surface-enhanced Raman scattering (SERS) sensing strategy. Multifunctional Au shell-coated graphene oxide nanosheets (GO@Au) were fabricated and for the first time introduced into the ICA system as a two-dimensional film-like SERS label, which possessed huge surface area, excellent stability, and superior SERS activity. Different from the conventional spherical nanotags, the antibody-conjugated GO@Au nanosheet effectively and rapidly adhered to bacterial cells, improved the dispersibility of bacteria-nanolabel complexes on the ICA strips, and provided numerous stable hotspots for SERS signal enhancement. The combination of GO@Au labels and the ICA system achieved the multiplex and ultrasensitive determination of three major foodborne pathogens, namely, Staphylococcus aureus, Escherichia coli O157:H7, and Salmonella typhimurium, in a single test, with low detection limits (8, 10, and 10 cells/mL) and short detection time (20 min). The proposed biosensor demonstrated high stability and good accuracy in various food samples and is thus a promising tool for the rapid identification of bacteria.
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Affiliation(s)
- Wanzhu Shen
- School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Institute of Microbiology and Epidemiology, Beijing, PR China
| | - Chaoguang Wang
- College of Intelligence Science, National University of Defense Technology, Changsha 410073, PR China
| | - Shuai Zheng
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Bo Jiang
- School of Public Health, Capital Medical University, Beijing 100069, PR China
| | - Jiaxuan Li
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China
| | - Yuanfeng Pang
- School of Public Health, Capital Medical University, Beijing 100069, PR China
| | - Chongwen Wang
- College of Life Sciences, Anhui Agricultural University, Hefei 230036, PR China.
| | - Rongzhang Hao
- School of Public Health, Capital Medical University, Beijing 100069, PR China.
| | - Rui Xiao
- Beijing Institute of Microbiology and Epidemiology, Beijing, PR China.
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26
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Xiao F, Li W, Xu H. Advances in magnetic nanoparticles for the separation of foodborne pathogens: Recognition, separation strategy, and application. Compr Rev Food Sci Food Saf 2022; 21:4478-4504. [PMID: 36037285 DOI: 10.1111/1541-4337.13023] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 01/28/2023]
Abstract
Foodborne pathogens contamination is one of the main sources of food safety problems. Although the existing detection methods have been developed for a long time, the complexity of food samples is still the main factor affecting the detection time and sensitivity, and the rapid separation and enrichment of pathogens is still an objective to be studied. Magnetic separation strategy based on magnetic nanoparticles (MNPs) is considered to be an effective tool for rapid separation and enrichment of foodborne pathogens in food. Therefore, this study comprehensively reviews the development of MNPs in the separation of foodborne pathogens over the past decade. First, various biorecognition reagents for identification of foodborne pathogens and their modifications on the surface of MNPs are introduced. Then, the factors affecting the separation of foodborne pathogens, including the size of MNPs, modification methods, separation strategies and separation forms are discussed. Finally, the application of MNPs in integrated detection methods is reviewed. Moreover, current challenges and prospects of MNPs for the analysis of foodborne pathogens are discussed. Further research should focus on the design of multifunctional MNPs, the processing of large-scale samples, the simultaneous analysis of multiple targets, and the development of all-in-one small analytical device with separation and detection.
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Affiliation(s)
- Fangbin Xiao
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, P. R. China
| | - Weiqiang Li
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, P. R. China
| | - Hengyi Xu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, P. R. China
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27
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Gu F, Hu S, Wu Y, Wu C, Yang Y, Gu B, Du H. A SERS Platform for Rapid Detection of Drug Resistance of Non- Candida albicans Using Fe 3O 4@PEI and Triangular Silver Nanoplates. Int J Nanomedicine 2022; 17:3531-3541. [PMID: 35971445 PMCID: PMC9375581 DOI: 10.2147/ijn.s369591] [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: 04/11/2022] [Accepted: 07/24/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose Candida infection has a high mortality rate, and the increasing prevalence of non-Candida albicans drug resistance in recent years poses a potential threat to human health. Non-Candida albicans has long culture cycles, and its firm cell walls making it difficult to isolate DNA for sequencing. Materials and Methods Fe3O4@PEI (PEI, polyvinyl imine) was mixed with clinical samples to form Fe3O4@PEI@non-Candida albicans and enriched them with magnets. Triangular silver nanoplates enhanced the surface-enhanced Raman scattering (SERS) signal. SERS was used to detect the fingerprint spectrum of non-Candida albicans. Then, orthogonal partial least squares discriminant analysis (OPLS-DA) was used to analyze the drug resistance of non-Candida albicans. Results SERS combined with OPLS-DA could well analyze the drug resistance of non-Candida albicans. Through 10-fold-cross validation, the accuracy of training and test data is greater than 99%, indicating that the model has good classification ability. We used SERS for the first time to detect the drug resistance of non-Candida albicans directly. Conclusion This approach can be utilized without causing damage to the cell wall and can be accomplished in as little as 90 minutes. It can provide timely guidance for the treatment of patients with good clinical application potential.
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Affiliation(s)
- Feng Gu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, People's Republic of China.,Department of Laboratory Medicine, Xuzhou Central Hospital, Xuzhou, 221000, People's Republic of China
| | - Shan Hu
- Department of Laboratory Medicine, Xuzhou Tumor Hospital, Xuzhou, 221005, People's Republic of China
| | - Yunjian Wu
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, 221004, People's Republic of China
| | - Changyu Wu
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, 221004, People's Republic of China
| | - Ying Yang
- Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China
| | - Bing Gu
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, People's Republic of China
| | - Hong Du
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, People's Republic of China
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28
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Jiang G, Li Y, Liu J, Liu L, Pi F. Progress on aptamer-based SERS sensors for food safety and quality assessment: methodology, current applications and future trends. Crit Rev Food Sci Nutr 2022; 64:783-800. [PMID: 35943403 DOI: 10.1080/10408398.2022.2108370] [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] [Indexed: 11/03/2022]
Abstract
It is well known that food safety has aroused extensive attentions from governments to researchers and to food industries. As a versatile technology based on molecular interactions, aptamer sensors which could specifically identify a wide range of food contaminants have been extensively studied in recent years. Surface-enhanced Raman spectroscopy integrated aptamer combines the advantages of both technologies, not only in the ability to specifically identify a wide range of food contaminants, but also in the ultra-high sensitivity, simplicity, portable and speed. To provide beneficial insights into the evaluation techniques in the field of food safety, we offer a comprehensive review on the design strategies for aptamer-SERS sensors in different scenarios, including non-nucleic acid amplification methods ("on/off" mode, sandwich mode, competition model and catalytic model) and nucleic acid amplification methods (hybridization chain reaction, rolling circle amplification, catalytic hairpin assembly). Meanwhile, a special attention is paid to the application of aptamer-SERS sensors in biological (foodborne pathogenic, bacteria and mycotoxins) and chemical contamination (drug residues, metal ions, and food additives) of food matrix. Finally, the challenges and prospects of developing reliable aptamer-SERS sensors for food safety were discussed, which are expected to offer a strong guidance for further development and extended applications.
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Affiliation(s)
- Guoyong Jiang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Yu Li
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Jinghan Liu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
| | - Ling Liu
- Wuxi Institute of Technology, Wuxi, Jiangsu, People's Republic of China
| | - Fuwei Pi
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, People's Republic of China
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29
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A Review of Raman-Based Technologies for Bacterial Identification and Antimicrobial Susceptibility Testing. PHOTONICS 2022. [DOI: 10.3390/photonics9030133] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Antimicrobial resistance (AMR) is a global medical threat that seriously endangers human health. Rapid bacterial identification and antimicrobial susceptibility testing (AST) are key interventions to combat the spread and emergence of AMR. Although current clinical bacterial identification and AST provide comprehensive information, they are labor-intensive, complex, inaccurate, and slow (requiring several days, depending on the growth of pathogenic bacteria). Recently, Raman-based identification and AST technologies have played an increasingly important role in fighting AMR. This review summarizes major Raman-based techniques for bacterial identification and AST, including spontaneous Raman scattering, surface-enhanced Raman scattering (SERS), and coherent Raman scattering (CRS) imaging. Then, we discuss recent developments in rapid identification and AST methods based on Raman technology. Finally, we highlight the major challenges and potential future efforts to improve clinical outcomes through rapid bacterial identification and AST.
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30
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Abu-Aqil G, Sharaha U, Suleiman M, Riesenberg K, Lapidot I, Salman A, Huleihel M. Culture-independent susceptibility determination of E. coli isolated directly from patients’ urine using FTIR and machine-learning. Analyst 2022; 147:4815-4823. [DOI: 10.1039/d2an01253g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
One of the most common human bacterial infections is the urinary tract infection (UTI).
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Affiliation(s)
- George Abu-Aqil
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Uraib Sharaha
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Manal Suleiman
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Klaris Riesenberg
- Director of Microbiology Laboratory, Soroka University Medical Center, Beer-Sheva 84105, Israel
| | - Itshak Lapidot
- Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka Tel-Aviv Academic College of Engineering, Tel-Aviv 69107, Israel
| | - Ahmad Salman
- Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva 84100, Israel
| | - Mahmoud Huleihel
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
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