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Xuan C, Cao Y, Wu H, Wang Y, Xi J, Ma K, Feng Q, Sun B, Yan H, Wang L. Bioinspired Core-shell nanospheres integrated in multi-signal immunochromatographic sensor for high throughput sensitive detection of Bongkrekic acid in food. Food Chem 2024; 460:140565. [PMID: 39068800 DOI: 10.1016/j.foodchem.2024.140565] [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: 03/17/2024] [Revised: 07/02/2024] [Accepted: 07/20/2024] [Indexed: 07/30/2024]
Abstract
Nowadays, notable progress has been achieved in detecting foodborne toxins by employing nanoenzyme-based lateral flow immunoassay (NLFIA) sensors in point-of-care testing (POCT). It continues to be a major challenge to maximize the enzyme-like performance of nanozymes for educe any potential uncertainties in catalytic process. In this study, we employed a facile and efficient self-assembly approach to fabricate nucleoid-shell structured biomimetic nanospheres CuS@Au-Pt (CAP), which demonstrates enhanced brightness of the colorimetric signal, excellent affinity, and excellent peroxidase activity. The integration of CAP with a competitive-assay NLFIA platform enabled sensitive immunochromatographic detection of bongkrekic acid (BA), with LOD as low as 0.66 ng/mL. After signal amplification through enzyme-like reaction, the detection range was extended around 1-fold. Additionally, CAP-NLFIA effectively detected BA with a recovery rate of 80.96-119.36% for real samples. The study proposes using CAP as a signal reporter in a dual-readout LFIA, which can establish a high throughput sensitive detection platform.
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Affiliation(s)
- Chenyu Xuan
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Yuanyuan Cao
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Haiyu Wu
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Ying Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Jia Xi
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Kaixuan Ma
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Qinlin Feng
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Boyang Sun
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Huiqi Yan
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Li Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China; GDMPA Key Laboratory for Process Control and Quality Evaluation of Chiral Pharmaceuticals, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, School of Chemistry, South China Normal University, Guangzhou, China.
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2
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Huang Q, Yang Y, Abbas MS, Pei S, Ro CU, Dong C, Geng H. Multifunctional magnetic tags with photocatalytic and enzyme-mimicking properties for constructing a sensitive dual-readout ELISA. Food Chem 2024; 457:140085. [PMID: 38908250 DOI: 10.1016/j.foodchem.2024.140085] [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: 03/27/2024] [Revised: 05/28/2024] [Accepted: 06/10/2024] [Indexed: 06/24/2024]
Abstract
ELISA has become the gold standard for detecting harmful substances due to its specific antibody recognition and sensitive enzyme-catalyzed reactions. In this study, multifunctional magnetic Prussian blue nanolabels (MPBNs) were synthesized using a simple gentle two-step method to achieve a dual-readout mode. The MPBNs provide a sensitive colorimetric signal by efficiently catalyzing the oxidation of TMB and exhibit prominent photocatalytic degradation activity towards Rhodamine B (RhB). Supplemented by the quenching effect of oxTMB, the fluorescence was enabled to serve as a sensitive second signal. The magnetic property of the labels facilitates the separation and enrichment of the target, thereby improving sensitivity. Utilizing the versatile MPBNs, the visual limit of detection (vLOD) for Staphylococcus aureus is as low as 100 CFU/mL, with a quantitative analysis range of 102-108 CFU/mL. The introduction of photocatalytic reactions into immunoassay has opened up a new signal response system with strong momentum for development and application.
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Affiliation(s)
- Qiong Huang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, Shanxi, China
| | - Yajuan Yang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, Shanxi, China
| | | | - Shiqi Pei
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, Shanxi, China
| | - Chul-Un Ro
- Department of Chemistry, Inha University, Incheon, 402-751, Republic of Korea
| | - Chuan Dong
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, Shanxi, China
| | - Hong Geng
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, Shanxi, China; Shanxi Yellow River Laboratory, Taiyuan 030031, China; MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China.
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3
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Solanki R, Patra I, Kumar TCA, Kumar NB, Kandeel M, Sivaraman R, Turki Jalil A, Yasin G, Sharma S, Abdulameer Marhoon H. Smartphone-Based Techniques Using Carbon Dot Nanomaterials for Food Safety Analysis. Crit Rev Anal Chem 2024; 54:923-941. [PMID: 35857650 DOI: 10.1080/10408347.2022.2099733] [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: 10/17/2022]
Abstract
The development of portable and efficient nanoprobes to realize the quantitative/qualitative onsite determination of food pollutants is of immense importance for safeguarding human health and food safety. With the advent of the smartphone, the digital imaging property causes it to be an ideal diagnostic substrate to point-of-care analysis probes. Besides, merging the versatility of carbon dots nanostructures and bioreceptor abilities has opened an innovative assortment of construction blocks to design advanced nanoprobes or improving those existing ones. On this ground, massive endeavors have been made to combine mobile phones with smart nanomaterials to produce portable (bio)sensors in a reliable, low cost, rapid, and even facile-to-implement area with inadequate resources. Herein, this work outlines the latest advancement of carbon dots nanostructures on smartphone for onsite detecting of agri-food pollutants. Particularly, we afford a summary of numerous approaches applied for target molecule diagnosis (pesticides, mycotoxins, pathogens, antibiotics, and metal ions), for instance microscopic imaging, fluorescence, colorimetric, and electrochemical techniques. Authors tried to list those scaffolds that are well-recognized in complex media or those using novel constructions/techniques. Lastly, we also point out some challenges and appealing prospects related to the enhancement of high-efficiency smartphone based carbon dots systems.
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Affiliation(s)
- Reena Solanki
- Department of Chemistry, Dr APJ Abdul Kalam University, Indore, India
| | | | - T Ch Anil Kumar
- Department of Mechanical Engineering, Vignan's Foundation for Science Technology and Research, Vadlamudi, India
| | - N Bharath Kumar
- Department of Electrical and Electronics Engineering, Vignan's Foundation for Science Technology and Research, Guntur, India
| | - Mahmoud Kandeel
- Department of Biomedical Sciences, College of Veterinary Medicine, King Faisal University, Al-Ahsa, Saudi Arabia
| | - R Sivaraman
- Department of Mathematics, Dwaraka Doss Goverdhan Doss Vaishnav College, University of Madras, Arumbakkam, Chennai, India
| | - Abduladheem Turki Jalil
- Medical Laboratories Techniques Department, Al-Mustaqbal University College, Babylon, Hilla, Iraq
| | - Ghulam Yasin
- Department of Botany, university of Bahauddin Zakariya, Multan, Pakistan
| | - Sandhir Sharma
- Chitkara Business School, Chitkara University, Punjab, India
| | - Haydar Abdulameer Marhoon
- Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Iraq
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4
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Gao F, Ye S, Huang L, Gu Z. A nanoparticle-assisted signal-enhancement technique for lateral flow immunoassays. J Mater Chem B 2024; 12:6735-6756. [PMID: 38920348 DOI: 10.1039/d4tb00865k] [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: 06/27/2024]
Abstract
Lateral flow immunoassay (LFIA), an affordable and rapid paper-based detection technology, is employed extensively in clinical diagnosis, environmental monitoring, and food safety analysis. The COVID-19 pandemic underscored the validity and adoption of LFIA in performing large-scale clinical and public health testing. The unprecedented demand for prompt diagnostic responses and advances in nanotechnology have fueled the rise of next-generation LFIA technologies. The utilization of nanoparticles to amplify signals represents an innovative approach aimed at augmenting LFIA sensitivity. This review probes the nanoparticle-assisted amplification strategies in LFIA applications to secure low detection limits and expedited response rates. Emphasis is placed on comprehending the correlation between the physicochemical properties of nanoparticles and LFIA performance. Lastly, we shed light on the challenges and opportunities in this prolific field.
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Affiliation(s)
- Fang Gao
- Institute of Energy Materials Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Shaonian Ye
- Institute of Energy Materials Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
| | - Lin Huang
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Zhengying Gu
- Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
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5
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Supianto M, Yoo DK, Hwang H, Oh HB, Jhung SH, Lee HJ. Linker-Preserved Iron Metal-Organic Framework-Based Lateral Flow Assay for Sensitive Transglutaminase 2 Detection in Urine Through Machine Learning-Assisted Colorimetric Analysis. ACS Sens 2024; 9:1321-1330. [PMID: 38471126 DOI: 10.1021/acssensors.3c02250] [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: 03/14/2024]
Abstract
A groundbreaking demonstration of the utilization of the metal-organic framework MIL-101(Fe) as an exceptionally perceptive visual label in colorimetric lateral flow assays (LFA) is described. This pioneering approach enables the precise identification of transglutaminase 2 (TGM2), a recognized biomarker for chronic kidney disease (CKD), in urine specimens, which offers a remarkably sensitive naked-eye detection mechanism. The surface of MIL-101(Fe) was modified with oxalyl chloride, adipoyl chloride, and poly(acrylic) acid (PAA); these not only improved the labeling material stability in a complex matrix but also achieved a systematic control in the detection limit of the TGM2 concentration using our LFA platform. The advanced LFA with the MIL-101(Fe)-PAA label can detect TGM2 concentrations down to 0.012, 0.009, and 0.010 nM in Tris-HCl buffer, urine, and desalted urine, respectively, which are approximately 55-fold lower than those for a conventional AuNP-based LFAs. Aside from rapid TGM2 detection (i.e., within 20 min), the performance of the MIL-101(Fe)-PAA-based LFA on reproducibility [coefficients of variation (CV) < 2.9%] and recovery (95.9-103.2%) along with storage stability within 25 days of observation (CV < 6.0%) shows an acceptable parameter range for quantitative analysis. A sophisticated sensing method grounded in machine learning principles was also developed, specifically aimed at precisely deducing the TGM2 concentration by analyzing immunoreaction sites. More importantly, our developed LFA offers potential for clinical measurement of TGM2 concentration in normal human urine and CKD patients' samples.
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Affiliation(s)
- Mulya Supianto
- Department of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, 80 Daehakro, Buk-gu, Daegu-city 41566, Republic of Korea
| | - Dong Kyu Yoo
- Department of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, 80 Daehakro, Buk-gu, Daegu-city 41566, Republic of Korea
| | - Hagyeong Hwang
- Department of Chemistry, Sogang University, Seoul 04107, Republic of Korea
| | - Han Bin Oh
- Department of Chemistry, Sogang University, Seoul 04107, Republic of Korea
| | - Sung Hwa Jhung
- Department of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, 80 Daehakro, Buk-gu, Daegu-city 41566, Republic of Korea
| | - Hye Jin Lee
- Department of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, 80 Daehakro, Buk-gu, Daegu-city 41566, Republic of Korea
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6
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Wu W, Li Y, Song P, Xu Q, Lei D, Wang J, Fu B, Kong W. UiOL@AIEgens-assisted lateral flow immunosensor for the ultrasensitive dual-modal point-of-care detection of aflatoxin B 1. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133103. [PMID: 38043421 DOI: 10.1016/j.jhazmat.2023.133103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/13/2023] [Accepted: 11/25/2023] [Indexed: 12/05/2023]
Abstract
Aflatoxin B1 (AFB1) contamination in food has attracted worldwide attention. The sensitive detection of AFB1 is vital for ensuring food quality and safety. This study developed an ultrasensitive signal-enhanced lateral flow immunosensor (LFIS) based on the functionalized zirconium metal-organic framework (MOF) of a UiO linker enriched with abundant aggregation-induced emission luminogen (UiOL@AIEgens) probes for the rapid dual-modal point-of-care (POC) determination of AFB1. Using UiO MOFs with numerous active sites as the carrier facilitated abundant AIEgens enrichment on the surface. After coupling with enough anti-AFB1 monoclonal antibodies (mAbs), the green-emissive UiOL@AIEgens-mAbs probes with high specificity and remarkably-enhanced fluorescence responses were obtained to competitively capture target AFB1 in the standard or sample solution and AFB1 antigen immobilized on the test (T) line of the POC LFIS. Under optimum conditions, the LFIS was capable of visual qualitative and smartphone-assisted dual-modal determination of target AFB1 within 7 min. Detection occurred in a range of 0.01-5 ng/mL at an ultra-low detection limit of 0.003 ng/mL, which was 300- and 600-fold lower than traditional immunoassays and the maximum limit set by the European Union, respectively. Moreover, the feasibility and robustness of the LFIS platform were assessed by detecting AFB1 in maize and lotus seed samples with average recoveries of 94.3-109.0%. The developed UiOL@AIEgens-based POC LFIS can be used for ultrasensitive, reliable, on-site detection in food. This study provides a new method for the real-time monitoring of AFB1 and other harmful contaminants in food and more complex matrices.
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Affiliation(s)
- Wenjuan Wu
- School of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China; College of Science, China Agricultural University, Beijing 100193, China
| | - Ying Li
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China
| | - Pengyue Song
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China
| | - Qingbin Xu
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China
| | - Doudou Lei
- State Key Laboratory of Southwestern Chinese Medicine Resources, Pharmacy College, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Jiabo Wang
- School of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China
| | - Bin Fu
- College of Science, China Agricultural University, Beijing 100193, China
| | - Weijun Kong
- School of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
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7
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Hsu CY, Saleh RO, Pallathadka H, Kumar A, Mansouri S, Bhupathi P, Jasim Ali SH, Al-Mashhadani ZI, Alzubaidi LH, Hizam MM. Advances in electrochemical-optical dual-mode biosensors for detection of environmental pathogens. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:1306-1322. [PMID: 38344759 DOI: 10.1039/d3ay02217j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/01/2024]
Abstract
Electrochemical techniques are commonly used to analyze and screen various environmental pathogens. When used in conjunction with other optical recognition methods, it can extend the sensing range, lower the detection limit, and offer mutual validation. Nowadays, electrochemical-optical dual-mode biosensors have ensured the accuracy of test results by integrating two signals into one, indicating their potential use in primary food safety quantitative assays and screening tests. Particularly, visible optical signals from electrochemical/colorimetric dual-mode biosensors could meet the demand for real-time screening of microbial pathogens. While electrochemical-optical dual-mode probes have been receiving increasing attention, there is limited emphasis on the design approaches for sensors intended for microbial pathogens. Here, we review the recent progress in the merging of optical and electrochemical techniques, including fluorescence, colorimetry, surface plasmon resonance (SPR), and surface enhanced Raman spectroscopy (SERS). This study particularly emphasizes the reporting of various sensing performances, including sensing principles, types, cutting-edge design approaches, and applications. Finally, some concerns and upcoming advancements in dual-mode probes are briefly outlined.
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Affiliation(s)
- Chou-Yi Hsu
- Department of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
| | - Raed Obaid Saleh
- Department of Medical Laboratory Techniques, Al-Maarif University College, Al-Anbar, Iraq
| | | | - Abhinav Kumar
- Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, Ekaterinburg 620002, Russia
| | - Sofiene Mansouri
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
- University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia
| | - Priyadharshini Bhupathi
- VIT School of Agricultural Innovations and Advanced Learning, Vellore Institute of Technology, Vellore, India.
| | - Saad Hayif Jasim Ali
- Department of Medical Laboratory, College of Health and Medical Technololgy, Al-Ayen University, Thi-Qar, Iraq
| | | | - Laith H Alzubaidi
- College of Technical Engineering, The Islamic University, Najaf, Iraq
- College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq
| | - Manar Mohammed Hizam
- College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq
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Wang Y, Feng Q, Yan H, Sun R, Cao Y, Wu H, Xi J, Xuan C, Xia J, Sun B, Wang L. Trifunctional Nanocomposites with Colorimetric Magnetic Catalytic Activities Labels in Sandwich Immunochromatographic Detection of Escherichia coli O157:H7. Anal Chem 2024; 96:1232-1240. [PMID: 38164711 DOI: 10.1021/acs.analchem.3c04476] [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: 01/03/2024]
Abstract
The emergence of nanoenzymes has catalyzed the robust advancement of the lateral flow immunoassay (LFIA) in recent years. Among them, multifunctional nanocomposite enzymes with core-shell architectures are considered preferable for promoting the sensing ability due to their good biocompatibility, precise control over size, and surface properties etc. Herein, we developed a dual-channel ensured lateral flow immunoassay (DFLIA) platform utilizing a magnetic, colorimetric, and catalytic multifunctional nanocomposite enzyme (Fe3O4@TCPP@Pd) [TCPP, Tetrakis (4-carboxyphenyl) porphyrin] for the ultrasensitive and highly accurate rapid detection of Escherichia coli O157:H7 (E. coli O157:H7). Fe3O4@TCPP@Pd-mAb exhibits superior performance compared to traditional AuNPs, including enhanced sensitivity and an extended linear detection range, benefiting from its high brightness signal, strong magnetic separation ability, and high peroxidase activity (Vmax = 2.32 μM S1-). Moreover, the Fe3O4@TCPP@Pd-labeled mAb probe exhibited exceptional stability and high affinity toward E. coli O157:H7 (with an affinity constant of approximately 1.723 × 109 M-1), indicating its potential for the efficient capture of the pathogen. Impressively, the developed Fe3O4@TCPP@Pd-DFLIA achieved ultrasensitive detection for E. coli O157:H7 with pre- and postcatalytic naked-eye detection sensitivities of 255 cfu/mL and 77 cfu/mL, respectively, representing an approximately 41-fold improvement over the conventional AuNP-based LFIA and also possessed good specificity and reproducibility [relative standard deviation (RSD) < 10%]. Additionally, the established DFLIA exhibited satisfactory recoveries in detecting pork and milk samples, further validating the reliability of this platform for immunoassays and demonstrating its potential for utilization in bioassays and clinical diagnostics.
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Affiliation(s)
- Ying Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Qinlin Feng
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Huiqi Yan
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Rui Sun
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Yuanyuan Cao
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Haiyu Wu
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Jia Xi
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Chenyu Xuan
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Junfang Xia
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Boyang Sun
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
| | - Li Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
- School of Chemistry, Guangzhou Key Laboratory of Analytical Chemistry for Biomedicine, South China Normal University, Guangzhou 510006, P. R. China
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9
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Saleh RO, Almajidi YQ, Mansouri S, Hammoud A, Rodrigues P, Mezan SO, Maabreh HG, Deorari M, Shakir MN, Alasheqi MQ. Dual-mode colorimetric and fluorescence biosensors for the detection of foodborne bacteria. Clin Chim Acta 2024; 553:117741. [PMID: 38158002 DOI: 10.1016/j.cca.2023.117741] [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: 11/03/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Due to the growing demand for detection technologies, there has been significant interest in the development of integrated dual-modal sensing technologies, which involve combining two signal transduction channels into a single technique, particularly in the context of food safety. The integration of two detection signals not only improves diagnostic performance by reducing assumptions, but also enhances diagnostic functions with increased application flexibility, improved accuracy, and a wider detection linear range. The top two output signals for emerging dual-modal probes are fluorescent and colorimetric, due to their exceptional advantages for real-time sensitive sensing and point-of-care applications. With the rapid progress of nanotechnology and material chemistry, the integrated colorimetric/fluorimetric dual-mode systems show immense potential in sensing foodborne pathogenic bacteria. In this comprehensive review, we present a detailed summary of various colorimetric and fluorimetric dual-modal sensing methods, with a focus on their application in detecting foodborne bacteria. We thoroughly examine the sensing methodologies and the underlying principles of the signal transduction systems, and also discuss the challenges and future prospects for advancing research in this field.
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Affiliation(s)
- Raed Obaid Saleh
- Department of Medical Laboratory Techniques, Al-Maarif University College, Al-Anbar, Iraq
| | | | - Sofiene Mansouri
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia.
| | - Ahmad Hammoud
- Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, Moscow, Russia; Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Mishref Campus, Kuwait.
| | - Paul Rodrigues
- Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, KSA, Saudi Arabia
| | - Salim Oudah Mezan
- Optical Department, College of Health and Medical Technology, Al-Ayen University, Thi-Qar, Iraq; Republic of Iraq, Ministry of Education, Open Educational College, Studies Muthanna Centre, Iraq
| | - Hatem Ghaleb Maabreh
- RUDN University (Peoples' Friendship University of Russia named after Patrice Lumumba), department of dermatovenerology, foreign languages, Moscow, Russia
| | - Mahamedha Deorari
- Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - Maha Noori Shakir
- Department of Medical Laboratories Technology, AL-Nisour University College, Baghdad, Iraq
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10
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Yang X, Cheng X, Wei H, Tu Z, Rong Z, Wang C, Wang S. Fluorescence-enhanced dual signal lateral flow immunoassay for flexible and ultrasensitive detection of monkeypox virus. J Nanobiotechnology 2023; 21:450. [PMID: 38001482 PMCID: PMC10675944 DOI: 10.1186/s12951-023-02215-4] [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: 05/02/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
The outbreak of the monkeypox virus (MPXV) worldwide in 2022 highlights the need for a rapid and low-cost MPXV detection tool for effectively monitoring and controlling monkeypox disease. In this study, we developed a flexible lateral flow immunoassay (LFIA) with strong colorimetric and enhanced fluorescence dual-signal output for the rapid, on-site, and highly sensitive detection of the MPXV antigen in different scenarios. A multilayered SiO2-Au core dual-quantum dot (QD) shell nanocomposite (named SiO2-Au/DQD), which consists of a large SiO2 core (~ 200 nm), one layer of density-controlled gold nanoparticles (AuNPs, 20 nm), and thousands of small QDs, was fabricated instead of a traditional colorimetric nanotag (i.e., AuNPs) and a fluorescent nanotag (QD nanobead) to simultaneously provide good stability, strong colorimetric ability and superior fluorescence intensity. With the dual-signal output LFIA, we achieved the specific screening of the MPXV antigen (A29L) in 15 min, with detection limits of 0.5 and 0.0021 ng/mL for the colorimetric and fluorometric modes, respectively. Moreover, the colorimetric mode of SiO2-Au/DQD-LFIA exhibits the same sensitivity as the traditional AuNP- LFIA, whereas the overall sensitivity of this method on the basis of the fluorescent signal can achieve 238- and 3.3-fold improvements in sensitivity for MPXV compared with the AuNP-based LFIA and ELISA methods, respectively, indicating the powerful performance and good versatility of the dual-signal method in the point-of-care testing of the MPXV.
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Affiliation(s)
- Xingsheng Yang
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Xiaodan Cheng
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Hongjuan Wei
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Zhijie Tu
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China
| | - Zhen Rong
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China.
| | - Chongwen Wang
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China.
- Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
| | - Shengqi Wang
- Bioinformatics Center of AMMS, Beijing, 100850, P. R. China.
- Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, P. R. China.
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11
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Qiao J, Chen X, Xu X, Fan B, Guan YS, Yang H, Li Q. A metal-organic framework-based fluorescence resonance energy transfer nanoprobe for highly selective detection of Staphylococcus Aureus. J Mater Chem B 2023; 11:8519-8527. [PMID: 37606203 DOI: 10.1039/d3tb01428b] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Survival and infection of pathogenic bacteria, such as Staphylococcus aureus (S. aureus), pose a serious threat to human health. Efficient methods for recognizing and quantifying low levels of bacteria are imperiously needed. Herein, we introduce a metal-organic framework (MOF)-based fluorescence resonance energy transfer (FRET) nanoprobe for ratiometric detection of S. aureus. The nanoprobe utilizes blue-emitting 7-hydroxycoumarin-4-acetic acid (HCAA) encapsulated inside zirconium (Zr)-based MOFs as the energy donor and green-emitting fluorescein isothiocyanate (FITC) as the energy acceptor. Especially, vancomycin (VAN) is employed as the recognition moiety to bind to the cell wall of S. aureus, leading to the disassembly of VAN-PEG-FITC from MOF HCAA@UiO-66. As the distance between the donor and acceptor increases, the donor signal correspondingly increases as the FRET signal decreases. By calculating the fluorescence intensity ratio, S. aureus can be quantified with a dynamic range of 1.05 × 103-1.05 × 107 CFU mL-1 and a detection limit of 12 CFU mL-1. Due to the unique high affinity of VAN to S. aureus, the nanoprobe shows high selectivity and sensitivity to S. aureus, even in real samples like lake water, orange juice, and saliva. The FRET-based ratiometric fluorescence bacterial detection method demonstrated in this work has a prospect in portable application and may reduce the potential threat of pathogens to human health.
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Affiliation(s)
- Jing Qiao
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Xuanbo Chen
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Xingliang Xu
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Ben Fan
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Ying-Shi Guan
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Hong Yang
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Quan Li
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
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12
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Wu P, Song J, Zuo W, Zhu J, Meng X, Yang J, Liu X, Jiang H, Zhang D, Dai J, Ju Y. A universal boronate affinity capture-antibody-independent lateral flow immunoassay for point-of-care glycoprotein detection. Talanta 2023; 265:124927. [PMID: 37441999 DOI: 10.1016/j.talanta.2023.124927] [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: 03/01/2023] [Revised: 06/29/2023] [Accepted: 07/06/2023] [Indexed: 07/15/2023]
Abstract
Protein glycosylation and other post-translational modifications are involved in many biological processes including growth, development and immune responses, and glycoproteins are also known as biomarkers for cancer, diabetes and cardiovascular diseases. In traditional lateral flow immunoassay (LFIA) for glycoprotein detection, capture antibody (CA) is often required to label targets. However, the production of CA is complicated and expensive, restricting the wide application of LFIA. In this study, we developed a universal boronate affinity CA-independent LFIA method for glycoprotein detection. 4-Mercaptophenylboronic acid (4-MPBA)-modified Au nanoparticles (namely 4-MPBA-AuNPs) were used as LFIA labels, which could generate colorimetric signal and showed outstanding capability to bind glycoprotein. Compared with CA, 4-MPBA molecular as a glycoprotein recognition element had more prominent advantages, e.g., low cost, easy availability and good quality controllability. Take carcinoembryonic antigen (CEA) as model glycoprotein, the limit of detection of this CA-independent LFIA was 1.25 ng/mL by naked eyes, which was 8-fold lower than conventional CA-dependent sandwich LFIA. Significantly, the developed 4-MPBA-AuNPs-based CA-independent LFIA successfully detected 23 CEA-positive samples from 64 suspected human serum samples within 50 min in a nonlaboratory environment, with a 100% accuracy compared to clinical detection method. Therefore, this diagnostic platform could provide an effective tool for point-of-care glycoprotein detection with excellent reproducibility and high specificity.
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Affiliation(s)
- Pengcheng Wu
- Zhanjiang Institute of Clinical Medicine, Central People's Hospital of Zhanjiang, Guangdong Medical University Zhanjiang Central Hospital, Zhanjiang, 524045, China; College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Bacteriology, Ministry of Agriculture, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jiaren Song
- College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Wanchao Zuo
- College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Jiaying Zhu
- College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Xiangming Meng
- College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Jun Yang
- Nanjing Institute for Food and Drug Control, Nanjing, 210038, China
| | - Xinmei Liu
- Nanjing Institute for Food and Drug Control, Nanjing, 210038, China
| | - Hui Jiang
- Nanjing Institute for Food and Drug Control, Nanjing, 210038, China
| | - Donghui Zhang
- Zhanjiang Institute of Clinical Medicine, Central People's Hospital of Zhanjiang, Guangdong Medical University Zhanjiang Central Hospital, Zhanjiang, 524045, China.
| | - Jianjun Dai
- College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, Key Laboratory of Animal Bacteriology, Ministry of Agriculture, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Yanmin Ju
- College of Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
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13
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Liu X, Kukkar D, Deng Z, Yang D, Wang J, Kim KH, Zhang D. "Lock-and-key" recognizer-encoded lateral flow assays toward foodborne pathogen detection: An overview of their fundamentals and recent advances. Biosens Bioelectron 2023; 235:115317. [PMID: 37236010 DOI: 10.1016/j.bios.2023.115317] [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: 03/21/2023] [Accepted: 04/11/2023] [Indexed: 05/28/2023]
Abstract
In light of severe health risks of foodborne pathogenic bacterial diseases, the potential utility of point-of-care (POC) sensors is recognized for pathogens detection. In this regard, lateral flow assay (LFA) is a promising and user-friendly option for such application among various technological approaches. This article presents a comprehensive review of "lock-and-key" recognizer-encoded LFAs with respect to their working principles and detection performance against foodborne pathogenic bacteria. For this purpose, we describe various strategies for bacteria recognition including the antibody-based antigen-antibody interactions, nucleic acid aptamer-based recognition, and phage-mediated targeting of bacterial cells. In addition, we also outline the technological challenges along with the prospects for the future development of LFA in food analysis. The LFA devices built based upon many recognition strategies are found to have great potential for rapid, convenient, and effective POC detection of pathogens in complex food matrixes. Future developments in this field should emphasize the development of high-quality bio-probes, multiplex sensors, and intelligent portable readers.
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Affiliation(s)
- Xiaojing Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Deepak Kukkar
- Department of Biotechnology, Chandigarh University, Gharuan, Mohali, 147013, Punjab, India; University Centre for Research and Development, Chandigarh University, Gharuan, Mohali, 147013, Punjab, India
| | - Ziai Deng
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Di Yang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Ki-Hyun Kim
- Department of Civil and Environmental Engineering, Hanyang University, Seongdong-gu, Wangsimni-ro, Seoul, 04763, South Korea.
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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14
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Liu X, Chen Y, Bu T, Deng Z, Zhao L, Tian Y, Jia C, Li Y, Wang R, Wang J, Zhang D. Nanosheet antibody mimics based label-free and dual-readout lateral flow immunoassay for Salmonella enteritidis rapid detection. Biosens Bioelectron 2023; 229:115239. [PMID: 36965382 DOI: 10.1016/j.bios.2023.115239] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/27/2023]
Abstract
Portable devices for on-site foodborne pathogens detection are urgently desirable. Lateral flow immunoassay (LFIA) provides an efficient strategy for pathogens detection, however, antibody labeling independence and detection reliability, are still challenging. Here, we report the development of a label-free LFIA with dual-readout using glucan-functionalized two-dimensional (2D) transition metal dichalcogenides (TMDs) tungsten disulfide (WS2) as detection probes for sensitive detection of Salmonella enteritidis (S. enteritidis). In particular, glucan-functionalized WS2, synthesized via liquid exfoliation, are reliable detection antibody candidates which served as antibody mimics for bacteria capturing. This LFIA has not only eliminated the intricate antibody labeling process and screening of paired antibodies in conventional LFIAs, but also promised dual-readout (colorimetric/Raman) for flexible detection. Under optimized conditions, this LFIA achieves selective detection of S. enteritidis with a low visual detection limit of 103 CFU/mL and a broad linear range of 103-108 CFU/mL. Additionally, the LFIA could be successfully applied in drinking water and milk with recoveries of 85%-109%. This work is desirable to expand the application of 2D TMDs in biosensors and offers a brand-new alternative protocol of detection antibodies in foodborne pathogens detection.
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Affiliation(s)
- Xiaojing Liu
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Tong Bu
- College of Food Science and Technology, Henan Agricultural University, 63 Nongye Road, Zhengzhou, Henan, 450002, China
| | - Ziai Deng
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Lei Zhao
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China.
| | - Yanli Tian
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Conghui Jia
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yuechun Li
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Rong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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15
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Sun R, Li Y, Du T, Qi Y. Recent advances in integrated dual-mode optical sensors for food safety detection. Trends Food Sci Technol 2023. [DOI: 10.1016/j.tifs.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
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16
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Wang J, Cao Y, Li Z, Dong M, Dou W, Xu X, He S. Bridge-DNA synthesis triggered by an allosteric aptamer for the colorimetric detection of pathogenic bacteria. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:275-283. [PMID: 36594811 DOI: 10.1039/d2ay01844f] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Rapid and sensitive quantification of pathogenic bacteria is highly desired for environmental health supervision and food safety control. Yet, the amplification and detection of bacteria with a concentration lower than 102 cfu mL-1 remains a great challenge. Here, we combined an allosteric aptamer (AAP) with a gold nanoparticle (AuNP) for assembling a bridge-DNA synthesis system (named as AuNP-BDS) to amplify the bacterial signals. The AAP and its paired primer (PP) were covalently linked to two different AuNPs, respectively: one named as AAP-AuNP and the other PP-AuNP. Upon recognition of the antigen from the pathogenic bacteria, AAP alters its conformation to initiate DNA synthesis on the AuNP surface. The DNA products from AAP-AuNP and PP-AuNP form bridges to each other through base pairing, resulting in the aggregation and colorimetric response of the AuNPs. By using E. coli O157:H7 as an example, the AuNP-BDS could quantify pathogenic bacteria in water with a concentration as low as 10 cfu mL-1 within 60 min and without any enrichment. The colorimetric response values of AuNP-BDS were found to be linearly related to the bacterial concentrations in the range of 10 to 103 cfu mL-1. Good practicability of the AuNP-BDS in quantifying E. coli O157:H7 from tap water, juices, and milks was demonstrated. The AuNP-BDS could be exploited to facilitate the rapid and sensitive quantification of pathogenic bacteria for food safety control.
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Affiliation(s)
- Jingtong Wang
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China.
| | - Yongqiang Cao
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China.
| | - Zhao Li
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China.
| | - Meiling Dong
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China.
| | - Wei Dou
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China.
| | - Xiaoping Xu
- College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, P. R. China
| | - Shengbin He
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi 530021, P. R. China.
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17
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Yu Q, Chen X, Qi L, Yang H, Wang Y, Zhang M, Huang K, Yuan X. Smartphone readable colorimetry and ICP-MS dual-mode sensing platform for ultrasensitive and label-free detection of Escherichia coli based on filter-assisted separation. Talanta 2022; 251:123760. [DOI: 10.1016/j.talanta.2022.123760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 10/16/2022]
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18
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Emergence of dyestuff chemistry-encoded signal tracers in immunochromatographic assays: Fundamentals and recent food applications. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.05.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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19
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Bai Z, Xu X, Wang C, Wang T, Sun C, Liu S, Li D. A Comprehensive Review of Detection Methods for Escherichia coli O157:H7. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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20
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Karimzadeh Z, Mahmoudpour M, Guardia MDL, Nazhad Dolatabadi JE, Jouyban A. Aptamer-functionalized metal organic frameworks as an emerging nanoprobe in the food safety field: Promising development opportunities and translational challenges. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116622] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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21
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Nature-inspired nanozymes as signal markers for in-situ signal amplification strategy: A portable dual-colorimetric immunochromatographic analysis based on smartphone. Biosens Bioelectron 2022; 210:114289. [DOI: 10.1016/j.bios.2022.114289] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/10/2022] [Accepted: 04/14/2022] [Indexed: 02/02/2023]
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