1
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Cao L, Ren Y, Ling N, Ye Q, Wu Y, Zhao X, Gu Q, Wu S, Zhang Y, Wei X, Ye Y, Wu Q. An ultrasensitive smartphone-assisted bicolor-ratiometric fluorescence sensing platform based on a "noise purifier" for point-of-care testing of pathogenic bacteria in food. Food Chem 2024; 446:138805. [PMID: 38422639 DOI: 10.1016/j.foodchem.2024.138805] [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: 11/25/2023] [Revised: 02/04/2024] [Accepted: 02/18/2024] [Indexed: 03/02/2024]
Abstract
Non-specific binding in fluorescence resonance energy transfer (FRET) remains a challenge in foodborne pathogen detection, resulting in interference of high background signals. Herein, we innovatively reported a dual-mode FRET sensor based on a "noise purifier" for the ultrasensitive quantification of Escherichia coli O157:H7 in food. An efficient FRET system was constructed with polymyxin B-modified nitrogen-sulfur co-doped graphene quantum dots (N, S-GQDs@PMB) as donors and aptamer-modified yellow carbon dots (Y-CDs@Apt) as acceptors. Magnetic multi-walled carbon nanotubes (Fe@MWCNTs) were employed as a "noise purifier" to reduce the interference of the fluorescence background. Under the background purification mode, the sensitivity of the dual-mode signals of the FRET sensor has increased by an order of magnitude. Additionally, smartphone-assisted colorimetric analysis enabled point-of-care detection of E. coli O157:H7 in real samples. The developed sensing platform based on a "noise purifier" provides a promising method for ultrasensitive on-site testing of trace pathogenic bacteria in various foodstuffs.
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Affiliation(s)
- Lulu Cao
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yuwei Ren
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Na Ling
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Qinghua Ye
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yuwei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Xinyu Zhao
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Qihui Gu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Shi Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Youxiong Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Xianhu Wei
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yingwang Ye
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
| | - Qingping Wu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
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2
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Liu S, Ma J, He F. A New SPQC Biosensor for the Detection of a New Target of Escherichia/Shigella Genera Based on a Novel Method of Synthesizing Long-Range DNA. Anal Chem 2024; 96:9826-9833. [PMID: 38829542 DOI: 10.1021/acs.analchem.4c00071] [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: 06/05/2024]
Abstract
The rapid and sensitive detection of Escherichia/Shigella genera is crucial for human disease and health. This study introduces a novel series of piezoelectric quartz crystal (SPQC) sensors for detecting Escherichia/Shigella genera. In this innovative biosensor, we propose a new target and novel method for synthesizing long-range DNA. The method relies on the amplification of two DNA probes, referred to as H and P amplification (HPA), resulting in the products of long-range DNA named Sn. The new target was screened from the 16S rRNA gene and utilized as a biomarker. The SPQC sensor operates as follows: the Capture probe is modified on the electrodes. In the presence of a Displace probe and target, the Capture can form a complex with the Displace probe. The resulting complex hybridizes with Sn, bridging the gap between the electrodes. Finally, silver wires are deposited between the electrodes using Sn as a template. This process results in a sensitive response from the SPQC. The detection limit of the SPQC sensor is 1 CFU/mL, and the detection time is within 2 h. This sensor would be of great benefit for food safety monitoring and clinical diagnosis.
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Affiliation(s)
- Shuyi Liu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Jinxia Ma
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Fengjiao He
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
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3
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Luo J, Xu D, Wang J, Liu H, Li Y, Zhang Y, Zeng H, Deng B, Liu X. A Dual-mode platform for the rapid detection of Escherichia coli O157:H7 based on CRISPR/Cas12a and RPA. Anal Bioanal Chem 2024; 416:3509-3518. [PMID: 38647692 DOI: 10.1007/s00216-024-05301-0] [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: 01/19/2024] [Revised: 03/20/2024] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) is a foodborne pathogenic microorganism that is commonly found in the environment and poses a significant threat to human health, public safety, and economic stability worldwide. Thus, early detection is essential for E. coli O157:H7 control. In recent years, a series of E. coli O157:H7 detection methods have been developed, but the sensitivity and portability of the methods still need improvement. Therefore, in this study, a rapid and efficient testing platform based on the CRISPR/Cas12a cleavage reaction was constructed. Through the integration of recombinant polymerase amplification and lateral flow chromatography, we established a dual-interpretation-mode detection platform based on CRISPR/Cas12a-derived fluorescence and lateral flow chromatography for the detection of E. coli O157:H7. For the fluorescence detection method, the limits of detection (LODs) of genomic DNA and E. coli O157:H7 were 1.8 fg/µL and 2.4 CFU/mL, respectively, within 40 min. Conversely, for the lateral flow detection method, LODs of 1.8 fg/µL and 2.4 × 102 CFU/mL were achieved for genomic DNA and E. coli O157:H7, respectively, within 45 min. This detection strategy offered higher sensitivity and lower equipment requirements than industry standards. In conclusion, the established platform showed excellent specificity and strong universality. Modifying the target gene and its primers can broaden the platform's applicability to detect various other foodborne pathogens.
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Affiliation(s)
- Jiawei Luo
- Lanzhou University of Technology, School of Life Science and Engineering, Lanzhou, China
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Danhong Xu
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Jinbin Wang
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai, China
- Shanghai Co-Elite Agricultural Sci-Tech (Group) Co. Ltd., Shanghai, China
- School of Public Health, Academician Workstation, Changsha Medical University, Changsha, China
| | - Hua Liu
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - You Li
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Yan Zhang
- Lanzhou University of Technology, School of Life Science and Engineering, Lanzhou, China
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Haijuan Zeng
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China.
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai, China.
- Shanghai Co-Elite Agricultural Sci-Tech (Group) Co. Ltd., Shanghai, China.
- School of Public Health, Academician Workstation, Changsha Medical University, Changsha, China.
| | - Bo Deng
- Shanghai Center of Agri-Products Quality and Safety, Shanghai, China.
| | - Xiaofeng Liu
- Lanzhou University of Technology, School of Life Science and Engineering, Lanzhou, China.
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4
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Cao M, Deng W, Zhu Z, Ma C, Bai J, Emran MY, Kotb A, Sun M, Zhou M. A Fully Integrated Handheld Electrochemical Sensing Platform for Point-of-Care Testing of Escherichia coli O157:H7. Anal Chem 2024; 96:5340-5347. [PMID: 38501977 DOI: 10.1021/acs.analchem.4c00776] [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: 03/20/2024]
Abstract
Fully integrated devices that enable full functioning execution without or with minimum external accessories or equipment are deemed to be one of the most desirable and ultimate objectives for modern device design and construction. Escherichia coli O157:H7 (E. coli O157:H7) is often linked to outbreaks caused by contaminated water and food. However, the sensors that are currently used for point-of-care E. coli O157:H7 (E. coli O157:H7) detection are often large and cumbersome. Herein, we demonstrate the first example of a handheld and pump-free fully integrated electrochemical sensing platform with the capability to point-of-care test E. coli O157:H7 in the actual samples of E. coli O157:H7-spiked tap water and E. coli O157:H7-spiked watermelon juice. This platform was made possible by overcoming major engineering challenges in the seamless integration of a microfluidic module for pump-free liquid sample collection and transportation, a sensing module for efficient E. coli O157:H7 testing, and an electronic module for automatically converting and wirelessly transmitting signals into a single and compact electrochemical sensing platform that retains its inimitable stand-alone, handheld, pump-free, and cost-effective feature. Although our primary emphasis in this study is on detecting E. coli O157:H7, this pump-free fully integrated handheld electrochemical sensing platform may also be used to monitor other pathogens in food and water by including specific antipathogen antibodies.
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Affiliation(s)
- Mengzhu Cao
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Wei Deng
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Ziyu Zhu
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Chongbo Ma
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Jing Bai
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Mohammed Y Emran
- Chemistry Department, Faculty of Science, Al-Azhar University, Assiut 71524, Egypt
| | - Ahmed Kotb
- Chemistry Department, Faculty of Science, Al-Azhar University, Assiut 71524, Egypt
| | - Mimi Sun
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Ming Zhou
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
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5
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Zhao D, Liu H, Zhang C, Xiao X, He Z. UV-induced oxidase activity of carbon dots in visible UVA dosage, Escherichia coli quantification and bacterial typing. Anal Chim Acta 2024; 1288:342140. [PMID: 38220275 DOI: 10.1016/j.aca.2023.342140] [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: 10/20/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 01/16/2024]
Abstract
Ultraviolet (UV) light and foodborne pathogenic bacteriais are an important risk to the environment's safety. They endanger human health, and also lead to outbreaks of infectious disease, posing great threats to global public health security, national economy, and social stability. The appearance of carbon dot (CD) nanozymes offers a new perspective to solve the problems of detection of UV light and pathogenic bacteria in environment. This paper reports the preparation of CDs with dual enzyme-like activities (superoxide dismutase activity and UV-induced oxidase activity). The product can catalyze the oxidation of the substrate 3, 3', 5, 5'-tetramethylbenzidine (TMB) under UV light (365 nm) to achieve rapid color development. Based on the excellent fluorescence properties of CDs, the colorimetric-fluorescence dual-channel real-time detection of UVA dose was realized, the mechanism underlying the catalytic oxidation of TMB by UV-induced oxidase CDs was also investigated. Furthermore, a portable CDs-TMB-PA hydrogel was prepared which could realize the real-time monitoring of UV in outdoor environment with the assistance of smartphone. Based on the pH dependency of the CD nanozymes and specific glycolytic response of the pathogenic bacteria Escherichia coli (E. coli) O157:H7, the direct, simple, quick, and sensitive typing and detection have been realized. This research offers new perspectives for studying CD nanozymes and their applications in UV and bacterial detection, demonstrating the remarkable potential of CD nanozymes in detecting environmental hazards.
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Affiliation(s)
- Dan Zhao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Huan Liu
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Changpeng Zhang
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Xincai Xiao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Zhike He
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, PR China; Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, 430071, PR China.
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6
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Xie M, Zhu Y, Li Z, Yan Y, Liu Y, Wu W, Zhang T, Li Z, Wang H. Key steps for improving bacterial SERS signals in complex samples: Separation, recognition, detection, and analysis. Talanta 2024; 268:125281. [PMID: 37832450 DOI: 10.1016/j.talanta.2023.125281] [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: 07/18/2023] [Revised: 09/09/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
Abstract
Rapid and reliable detection of pathogenic bacteria is absolutely essential for research in environmental science, food quality, and medical diagnostics. Surface-enhanced Raman spectroscopy (SERS), as an emerging spectroscopic technique, has the advantages of high sensitivity, good selectivity, rapid detection speed, and portable operation, which has been broadly used in the detection of pathogenic bacteria in different kinds of complex samples. However, the SERS detection method is also challenging in dealing with the detection difficulties of bacterial samples in complex matrices, such as interference from complex matrices, confusion of similar bacteria, and complexity of data processing. Therefore, researchers have developed some technologies to assist in SERS detection of bacteria, including both the front-end process of obtaining bacterial sample data and the back-end data processing process. The review summarizes the key steps for improving bacterial SERS signals in complex samples: separation, recognition, detection, and analysis, highlighting the principles of each step and the key roles for SERS pathogenic bacteria analysis, and the interconnectivity between each step. In addition, the current challenges in the practical application of SERS technology and the development trends are discussed. The purpose of this review is to deepen researchers' understanding of the various stages of using SERS technology to detect bacteria in complex sample matrices, and help them find new breakthroughs in different stages to facilitate the detection and control of bacteria in complex samples.
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Affiliation(s)
- Maomei Xie
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yiting Zhu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Zhiyao Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yueling Yan
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yidan Liu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Wenbo Wu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Tong Zhang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Zheng Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of TCM, Tianjin, 301617, China.
| | - Haixia Wang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of TCM, Tianjin, 301617, China.
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7
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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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8
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Yao Y, Hou L, Wei F, Lin T, Zhao S. An intelligent readable and capture-antibody-independent lateral flow immunoassay based on Cu 2-xSe nanocrystals for point-of-care detection of Escherichia coli O157:H7. Analyst 2024; 149:357-365. [PMID: 38062973 DOI: 10.1039/d3an01694c] [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: 01/16/2024]
Abstract
Escherichia coli (E. coli) O157:H7 is a common foodborne pathogen which can cause serious harm. It is particularly important to establish a simple and portable method to achieve on-site pathogen detection. In this study, a capture-antibody-independent lateral flow immunoassay (LFIA) was constructed based on Cu2-xSe nanocrystals (Cu2-xSe NCs) for rapid detection of E. coli O157:H7. Cu2-xSe NCs can not only be regarded as the "nano-antibody" for the recognition of E. coli O157:H7 through electrostatic adsorption, but also as nanozymes that show good peroxidase-like catalytic activity. The formed compound of E. coli O157:H7 and Cu2-xSe NCs would be captured by a detection antibody on the T line due to the specific recognition of the antibody and E. coli O157:H7. Then, Cu2-xSe NCs could catalyze the oxidation of TMB by H2O2 to generate oxTMB, thereby generating blue bands. Meanwhile, we developed a mobile app for rapid data analysis. Under the optimal reaction conditions, E. coli O157:H7 could be detected within 70 min. The detection limit of this method was 2.65 × 105 CFU mL-1 with good specificity and stability. Additionally, it could achieve on-site rapid detection of E. coli O157:H7 in environmental water samples, providing a promising biosensor for portable pathogen detection.
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Affiliation(s)
- Yiyun Yao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Li Hou
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Fenghuang Wei
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Tianran Lin
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Shulin Zhao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
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9
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Zhang G, Huang Z, Hu L, Wang Y, Deng S, Liu D, Peng J, Lai W. Molecular Engineering Powered Dual-Readout Point-of-Care Testing for Sensitive Detection of Escherichia coli O157:H7. ACS NANO 2023; 17:23723-23731. [PMID: 38009547 DOI: 10.1021/acsnano.3c07509] [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: 11/29/2023]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) has become one of the major threats to public health and food safety. However, the culture method as a gold standard for the detection of E. coli O157:H7 requires laborious operations and a long processing time. Herein, we developed a dual-readout aggregation-induced emission nanoparticle-based lateral flow immunoassay (LFIA) for sensitive detection of E. coli O157:H7 to achieve a qualitative and quantitative assay for satisfying the applications under varying scenarios. 2,3-Bis(4-(bis(4-(tert-butyl)phenyl)amino)phenyl)fumaronitrile (BAPF), an aggregation-induced emission luminogen, was designed to achieve a strong molar extinction coefficient (3.0 × 104 M-1 cm-1) and high quantum yield (33.28%), which was further verified by a large rotation angle and low energy gap. Subsequently, BAPFs were integrated into a nanostructured system to form excellent water-soluble nanoparticles (BAPFNPs) for the detection of E. coli O157:H7 with colorimetric and fluorescent readout. The designed BAPFNPs-based LFIA (BAPFNPs-LFIA) exhibited nearly qualitative ability with gold nanoparticles-LFIA (AuNPs-LFIA) and a 9 times enhancement compared with quantum beads-LFIA (QBs-LFIA) in quantitative aspect. Especially, FL-BAPFNPs-LFIA could detect E. coli O157:H7 earlier than QBs-LFIA and AuNPs-LFIA when samples with low E. coli O157:H7 concentrations were cultured. Overall, the proposed strategy revealed that versatile BAPFNPs have great potential as reporters for dual-readout ability and enhancing detection sensitivity for rapid and accurate pathogenic bacteria assay.
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Affiliation(s)
- Gan Zhang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Zhen Huang
- National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province 518112, China
| | - Liwen Hu
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Yumeng Wang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Shengliang Deng
- Institute of Microbiology, Jiangxi Academy of Sciences, 330096 Nanchang, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Center for Disease Control and Prevention, 555 East Beijing Road, Nanchang 330029, China
| | - Juan Peng
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
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10
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Zheng L, Jin W, Xiong K, Zhen H, Li M, Hu Y. Nanomaterial-based biosensors for the detection of foodborne bacteria: a review. Analyst 2023; 148:5790-5804. [PMID: 37855707 DOI: 10.1039/d3an01554h] [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: 10/20/2023]
Abstract
Ensuring food safety is a critical concern for the development and well-being of humanity, as foodborne illnesses caused by foodborne bacteria have increasingly become a major public health concern worldwide. Traditional food safety monitoring systems are expensive and time-consuming, relying heavily on specialized equipment and operations. Therefore, there is an urgent need to develop low-cost, user-friendly and highly sensitive biosensors for detecting foodborne bacteria. In recent years, the combination of nanomaterials with optical biosensors has provided a prospective future platform for the detection of foodborne bacteria. By harnessing the unique properties of nanomaterials, such as their high surface area-to-volume ratio and exceptional sensitivity, in tandem with the precision of optical biosensing techniques, a new prospect has opened up for the rapid and accurate identification of potential bacterial contaminants in food. This review focuses on recent advances and new trends of nanomaterial-based biosensors for the detection of foodborne pathogens, which mainly include noble metal nanoparticles (NMPs), metal organic frameworks (MOFs), graphene nanomaterials, quantum dot (QD) nanomaterials, upconversion fluorescent nanomaterials (UCNPs) and carbon dots (CDs). Additionally, we summarized the research progress of color indicators, nanozymes, natural enzyme vectors and fluorescent dye biosensors, focusing on the advantages and disadvantages of nanomaterial-based biosensors and their development prospects. This review provides an outlook on future technological directions and potential applications to help identify the most promising areas of development in this field.
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Affiliation(s)
- Lingyan Zheng
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Wen Jin
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Ke Xiong
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Hongmin Zhen
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Mengmeng Li
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
| | - Yumeng Hu
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
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11
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Huo E, Shahab S, Dang H, Jia Q, Wang M. Triazine-based covalent-organic framework embedded with cuprous oxide as the bioplatform for photoelectrochemical aptasensing Escherichia coli. Mikrochim Acta 2023; 190:407. [PMID: 37731054 DOI: 10.1007/s00604-023-05987-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/04/2023] [Indexed: 09/22/2023]
Abstract
A superior photoelectrochemical (PEC) aptasensor was manufactured for the detection of Escherichia coli (E. coli) based on a hybrid of triazine-based covalent-organic framework (COF) and cuprous oxide (Cu2O). The COF synthesized using 1,3,5-tris(4-aminophenyl)-benzene (TAPB) and 1,3,5-triformylphloroglucinol (Tp) as building blocks acted as a scaffold for encapsulated Cu2O nanoparticles (denoted as Cu2O@TAPB-Tp-COF), which then was employed as the bioplatform for anchoring E. coli-targeted aptamer. Cu2O@Cu@TAPB-Tp-COF demonstrated enhanced separation of the photogenerated carriers and photoabsorption ability and boosted photoelectric conversion efficiency. The developed Cu2O@TAPB-Tp-COF-based PEC aptasensor exhibited a lower detection limit of 2.5 CFU mL-1 toward E. coli within a wider range of 10 CFU mL-1 to 1 × 104 CFU mL-1 than most of reported aptasensors for determining foodborne bacteria, together with high selectivity, good stability, and superior ability and reproducibility. The recoveries of E. coli spiked into milk and bread samples ranged within 95.3-103.6% and 96.6-102.8%, accompanying with low RSDs of 1.37-4.48% and 1.74-3.66%, respectively. The present study shows a promising alternative for the sensitive detection of foodborne bacteria from complex foodstuffs and pathogenic bacteria-polluted environment.
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Affiliation(s)
- Erfu Huo
- Henan Chemical Industry Institute Co. Ltd., Zhengzhou, People's Republic of China.
- Quality Inspection and Analytical Test Research Center, Henan Academy of Sciences, Zhengzhou, People's Republic of China.
| | - Siyamak Shahab
- Belarusian State University, ISEI BSU, Minsk, Republic of Belarus
| | - Hao Dang
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China
| | - Qiaojuan Jia
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China
| | - Minghua Wang
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China.
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12
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Xing G, Shang Y, Ai J, Lin H, Wu Z, Zhang Q, Lin JM, Pu Q, Lin L. Nanozyme-Mediated Catalytic Signal Amplification for Microfluidic Biosensing of Foodborne Bacteria. Anal Chem 2023; 95:13391-13399. [PMID: 37610722 DOI: 10.1021/acs.analchem.3c03232] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Early detection of foodborne bacteria is urgently needed to ensure food quality and to avoid the outbreak of foodborne bacterial diseases. Here, a kind of metal-organic framework (Zr-MOF) modified with Pt nanoparticles (Pt-PCN-224) was designed as a peroxidase-like signal amplifier for microfluidic biosensing of foodborne bacteria. Taking Escherichia coli (E. coli) O157:H7 as a model, a linear range from 2.93 × 102 to 2.93 × 108 CFU/mL and a limit of detection of 2 CFU/mL were obtained. The whole detection procedure was integrated into a single microfluidic chip. Water, milk, and cabbage samples were successfully detected, showing consistency with the results of the standard culture method. Recoveries were in the range from 90 to 110% in spiked testing. The proposed microfluidic biosensor realized the specific and sensitive detection of E. coli O157:H7 within 1 h, implying broad prospects of MOF with biomimetic enzyme activities for biosensing.
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Affiliation(s)
- Gaowa Xing
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Yuting Shang
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Jiebing Ai
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Haifeng Lin
- Department of Bioengineering, Beijing Technology and Business University, Beijing 100048, China
| | - Zengnan Wu
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Qiang Zhang
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Jin-Ming Lin
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Qiaosheng Pu
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Ling Lin
- Department of Bioengineering, Beijing Technology and Business University, Beijing 100048, China
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13
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Xiao S, Cao C, Ming T, Cao Y, Yu Z, Gan N. Simultaneous and rapid screening of live and dead E. coli O157:H7 with three signal outputs: An all-in-one biosensor using phage-apoferritin@CuO 2 signal tags on MXenes-modified electrode platform. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:131875. [PMID: 37343409 DOI: 10.1016/j.jhazmat.2023.131875] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 06/05/2023] [Accepted: 06/14/2023] [Indexed: 06/23/2023]
Abstract
Simultaneous detection of live and dead bacteria is a huge challenge for food safety. To solve this issue, an all-in-one biosensor for bacteria was developed using the phage-apoferritin@CuO2 (phage-Apo@CP) probe on an antimicrobial peptide (AMP)/MXenes-modified detection platform. With the specific recognition of AMP and phage-Apo@CP, the biosensor for the target Escherichia coli O157:H7 (E. coli O157:H7) presented multi-mode (bioluminescent, colorimetric, and electrochemical) signals to simultaneously measure live and dead bacteria. The bioluminescent signal caused by the adenosine triphosphate (ATP) from the bacteria was used to quantify live bacteria. The colorimetric and voltammetric signals triggered by ·OH and Cu2+ from the probe with the assistance of acid could rapidly screen and quantitative determination of total E. coli O157:H7 concentration. Thus, the dead one was obtained according to the total and live ones. All three signals could be mutually corrected to improve the accuracy. The biosensor was successfully used for on-site measurement of live and dead E. coli O157:H7 in food samples with the limit of detection of 30 CFU/mL for live ones and 6 CFU/mL for total bacteria within 50 min. This work presents a novel pathway for rapid and simultaneous quantification of both live and dead bacteria.
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Affiliation(s)
- Shu Xiao
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Cong Cao
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Tinghong Ming
- School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Yuting Cao
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Zhenzhong Yu
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
| | - Ning Gan
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
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14
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Shao Y, Wang Z, Xie J, Zhu Z, Feng Y, Yu S, Xue L, Wu S, Gu Q, Zhang J, Wu Q, Wang J, Ding Y. Dual-mode immunochromatographic assay based on dendritic gold nanoparticles with superior fluorescence quenching for ultrasensitive detection of E. coli O157:H7. Food Chem 2023; 424:136366. [PMID: 37201472 DOI: 10.1016/j.foodchem.2023.136366] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/30/2023] [Accepted: 05/10/2023] [Indexed: 05/20/2023]
Abstract
We presented a colorimetric/fluorescent dual-mode immunochromatographic assay (ICA) for the sensitive detection of Escherichia coli O157:H7. The use of polydopamine (PDA)-modified gold nanoparticles (AuNPs) with broadband absorption allowed for excellent colorimetry signals for the ICA detection. Moreover, the absorption spectrum of PDA-AuNPs significantly overlaps with the excitation and emission spectra of ZnCdSe/ZnS quantum dots (QDs), resulting in effective quenching of the QDs fluorescence due to the inner filter effect. The fluorescence intensity changes induced by PDA-AuNPs were utilized for the sensitive detection of E. coli O157:H7, achieving a detection limit of 9.06 × 101 CFU/mL, which was 46-fold lower than that of traditional AuNPs-based immunoassay. The proposed immunosensor exhibited the recovery rate between 80.12% and 114.69% in detecting actual samples, indicating its reliability and satisfactory accuracy. This study provides insights into dual-mode signal outputs and the ICA development for food safety applications.
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Affiliation(s)
- Yanna Shao
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Zhengzheng Wang
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Jihang Xie
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Zhenjun Zhu
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Ying Feng
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Shubo Yu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Liang Xue
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Shi Wu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Qihui Gu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Jumei Zhang
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Qingping Wu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Juan Wang
- College of Food Science, South China Agricultural University, Guangzhou 510432, China
| | - Yu Ding
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
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15
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Zhou Q, Natarajan B, Kannan P. Nanostructured biosensing platforms for the detection of food- and water-borne pathogenic Escherichia coli. Anal Bioanal Chem 2023:10.1007/s00216-023-04731-6. [PMID: 37169938 DOI: 10.1007/s00216-023-04731-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
Pathogenic bacterial infection is one of the principal causes affecting human health and ecosystems. The accurate identification of bacteria in food and water samples is of significant interests to maintain safety and health for humans. Culture-based tests are practically tedious and may produce false-positive results, while viable but non-culturable microorganisms (NCMs) cannot be retrieved. Thus, it requires fast, reliable, and low-cost detection strategies for on-field analysis and point-of-care (POC) monitoring. The standard detection methods such as nucleic acid analysis (RT-PCR) and enzyme-linked immunosorbent assays (ELISA) are still challenging in POC practice due to their time-consuming (several hours to days) and expensive laboratory operations. The optical (surface plasmon resonance (SPR), fluorescence, and surface-enhanced Raman scattering (SERS)) and electrochemical-based detection of microbes (early stage of infective diseases) have been considered as alternative routes in the emerging world of nanostructured biosensing since they can attain a faster and concurrent screening of several pathogens in real samples. Moreover, optical and electrochemical detection strategies are opening a new route for the ability of detecting pathogens through the integration of cellphones, which is well fitted for POC analysis. This review article covers the current state of sensitive mechanistic approaches for the screening and detection of Escherichia coli O157:H7 (E. coli) pathogens in food and water samples, which can be potentially applied in clinical and environmental monitoring.
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Affiliation(s)
- Qiang Zhou
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, Zhejiang Province, 314001, People's Republic of China
| | - Bharathi Natarajan
- College of Medicine, Jiaxing University, Jiaxing, Zhejiang Province, 314001, People's Republic of China.
| | - Palanisamy Kannan
- Department of Endocrinology, First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 Zhonghuan South Road, Jiaxing, Zhejiang Province, 314001, People's Republic of China.
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16
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Su L, Liu B, Su Y, Tang D. NIR II light response-based PDA/AuPt@CuS composites: Simultaneous readout of temperature and pressure sensing strategy for portable detection of pathogenic bacteria. Talanta 2023; 260:124629. [PMID: 37149937 DOI: 10.1016/j.talanta.2023.124629] [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: 03/26/2023] [Revised: 04/23/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023]
Abstract
In this study, we developed a simultaneous readout of pressure and temperature dual-signals platform based on the second near-infrared (NIR II) light response-based polydopamine (PDA)-functionalized-AuPt nanoparticles (NPs)@CuS nanosheets (PDA/AuPt@CuS NS) composite. Due to the excellent NIR photothermal performance of PDA/AuPt@CuS NS, it contribute to the decomposition of H2O2 and NH4HCO3 to generate gases (including O2, CO2, and NH3) can be promoted, which can amplify the pressure signals in a sealed container. A sandwich mode is formed between Fe3O4 NPs and PDA/AuPt@CuS NS based on the dual-aptamer when target pathogenic bacteria is present. And, it is possible to convert the molecular recognition signals between the dual-aptamers into amplified pressures and temperatures, which can be read out by a portable pressure meter and smartphones simultaneously. It may offer the possibility for quantitative POCT analysis of Pathogenic Bacteria. Moreover, because of the high photothermal efficiency of this method, the developed dual-mode method can achieve that following the detection of bacteria and killing them immediately. As a result, secondary contamination is eliminated and bacterial transmission is avoided. The developed dual-signal sensing platform is also inexpensive, simple to operate and rapidly, indicating that it can be used for food safety analysis, clinical applications, and environmental monitoring.
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Affiliation(s)
- Lixia Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, China
| | - Bingqian Liu
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, China.
| | - Yonghuan Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, China
| | - Dianping Tang
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, China
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17
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Chen Y, Ma J, Yin X, Deng Z, Liu X, Yang D, Zhao L, Sun J, Wang J, Zhang D. Joint-detection of Salmonella typhimurium and Escherichia coli O157:H7 by an immersible amplification dip-stick immunoassay. Biosens Bioelectron 2023; 224:115075. [PMID: 36641877 DOI: 10.1016/j.bios.2023.115075] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 01/09/2023]
Abstract
To explore the superiority of multifunctional nanocomposites and realize the joint-detection of foodborne pathogens, an immersible amplification dip-stick immunoassay (DSIA) was exploited for the sensitive detection of Salmonella typhimurium (S. typhi) and Escherichia coli O157:H7 (E. coli O157:H7). Saving for the basic colorimetric performance, the reporter molecule of CoFe2O4 (CFO) possesses multivalent elements (Co2+/3+, Fe2+/3+) as well as multifunction of superior catalase-like activity and magnetic properties. By dint of the catalytic activity of CFO, a directly immersible amplification can be simply achieved to endure the DSIA with an intensive signal and a dual-visible mode for the determination of S. typhi and E. coli O157:H7. In virtue of the magnetic separation and enrichment capability of the CFO, the DSIA can perform a matrix-interference-free detection and obtain a dynamic detection range of 102-108 CFU/mL and a low assay limit of 102 CFU/mL. Moreover, the DSIA has reasonable recovery rates for contamination monitoring of two target bacteria in milk and beef samples. Our research provides a persuasive supplement for the application of multifunctional nanocomposites in the ongoing dip-stick immunoassay and an alternative strategy for the efficient detection of foodborne pathogens.
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Affiliation(s)
- Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Jiaqi Ma
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Ziai Deng
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Xiaojing Liu
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Di Yang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Lei Zhao
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China.
| | - Jing Sun
- Qinghai Provincial Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, Qinghai, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China.
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18
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A novel ADA-coated UCNPs@NB sensing platform combined with nucleic acid amplification for rapid detection of Escherichia coli. Anal Chim Acta 2023; 1239:340751. [PMID: 36628739 DOI: 10.1016/j.aca.2022.340751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 12/11/2022] [Accepted: 12/26/2022] [Indexed: 12/28/2022]
Abstract
In this study, we reported a novel sensing platform based on fluorescence quenching composed of alendronic acid (ADA) coated upconversion nanoparticles (UCNPs) and Nile Blue (NB) combined with polymerase chain reaction (PCR) for rapid, sensitive, and specific detection of Escherichia coli (E. coli). As a fluorescence acceptor, NB has a broad absorption band and can quench upconversion fluorescence intensity at 544 nm and 658 nm based on IFE. PCR is a double-stranded DNA (dsDNA) amplification technique with high specificity. The NB-dsDNA complex can be formed by intercalation of NB between base pairs and groove of dsDNA, leading to upconversion fluorescence recovery. The ADA-coated UCNPs@NB sensing platform achieved to detect E. coli in 1.5 h, with a lower limit of detection (33 CFU mL-1). In addition, the sensitivity of the ADA@UCNPs-NB fluorescence sensor under different PCR cycle numbers was discussed. The results showed that the proposed sensor could effectively shorten the assay time (1.0 h) while maintaining excellent sensitivity. This study demonstrated a rapid and sensitive analytical method for detecting E. coli in chicken, providing a reference for constructing PCR fluorescence sensors.
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Su L, Liu B, Cui Y, Su Y. Colorimetric and handheld pH meter dual-signal readout platform for E. coli detection based on a cascade reaction. Mikrochim Acta 2023; 190:51. [PMID: 36633688 DOI: 10.1007/s00604-022-05614-w] [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: 10/19/2022] [Accepted: 12/04/2022] [Indexed: 01/13/2023]
Abstract
A dual-signal readout has been designed detecting platform based on a cascade reaction for Escherichia coli (E. coli) detection by using colorimetric approach and a handheld pH meter. The immunoreaction was conducted using polydopamine@copper ferrite-Ag nanoparticles (PDA@CuFe2O4-Ag NP) and a glucose oxidase (GOD)-conjugated graphene oxide-gold nanosheet composite (GOD-GO/Au NS) to synthesize a sandwich complex mode between targets. Together with the formation of immune complexes, the GOD-GO/Au NS can catalyze glucose to produce gluconic acid and hydrogen peroxide (H2O2). The gluconic acid produced altered the pH of the detection solution. Since the PDA@CuFe2O4-Ag NP have good peroxidase-like activity, they can catalyze the oxidation of TMB to the blue product oxTMB once H2O2 is produced in the reaction system, and the absorbance change of oxTMB at 652 nm can be recorded using ultraviolet-visible (UV-Vis) spectroscopy. Interestingly, the PDA@CuFe2O4-Ag NP composites can consume the generated H2O2, and can create a reaction cycle that promotes glucose oxidation. Under optimal conditions, the proposed dual-channel signal platform is proportional to the logarithm of the E. coli concentration within a range of 102-107 cfu mL-1. Additionally, the devised approach was successfully used to detect E. coli at the required levels in real samples. This dual-mode detection method notably enhances the accuracy and diversity of detection, and curbs the false negative and positive rates.
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Affiliation(s)
- Lixia Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, People's Republic of China
| | - Bingqian Liu
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, People's Republic of China.
| | - Yuling Cui
- Jinan Center for Food and Drug Control, Jinan, 250102, Shandong, China
| | - Yonghuan Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, People's Republic of China
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Shao L, Xi Y, Weng Y. Recent Advances in PLA-Based Antibacterial Food Packaging and Its Applications. Molecules 2022; 27:molecules27185953. [PMID: 36144687 PMCID: PMC9502505 DOI: 10.3390/molecules27185953] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/06/2022] [Accepted: 09/09/2022] [Indexed: 11/20/2022] Open
Abstract
In order to reduce environmental pollution and resource waste, food packaging materials should not only have good biodegradable ability but also effective antibacterial properties. Poly(lactic acid) (PLA) is the most commonly used biopolymer for food packaging applications. PLA has good physical properties, mechanical properties, biodegradability, and cell compatibility but does not have inherent antibacterial properties. Therefore, antibacterial packaging materials based on PLA need to add antibacterial agents to the polymer matrix. Natural antibacterial agents are widely used in food packaging materials due to their low toxicity. The high volatility of natural antibacterial agents restricts their application in food packaging materials. Therefore, appropriate processing methods are particularly important. This review introduces PLA-based natural antibacterial food packaging, and the composition and application of natural antibacterial agents are discussed. The properties of natural antibacterial agents, the technology of binding with the matrix, and the effect of inhibiting various bacteria are summarized.
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Affiliation(s)
- Linying Shao
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Yuewei Xi
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China
- Beijing Key Laboratory of Quality Evaluation Technology for Hygiene and Safety of Plastics, Beijing Technology and Business University, Beijing 100048, China
- Correspondence: (Y.X.); (Y.W.)
| | - Yunxuan Weng
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China
- Beijing Key Laboratory of Quality Evaluation Technology for Hygiene and Safety of Plastics, Beijing Technology and Business University, Beijing 100048, China
- Correspondence: (Y.X.); (Y.W.)
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