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Meliana C, Liu J, Show PL, Low SS. Biosensor in smart food traceability system for food safety and security. Bioengineered 2024; 15:2310908. [PMID: 38303521 PMCID: PMC10841032 DOI: 10.1080/21655979.2024.2310908] [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: 11/12/2023] [Accepted: 01/23/2024] [Indexed: 02/03/2024] Open
Abstract
The burden of food contamination and food wastage has significantly contributed to the increased prevalence of foodborne disease and food insecurity all over the world. Due to this, there is an urgent need to develop a smarter food traceability system. Recent advancements in biosensors that are easy-to-use, rapid yet selective, sensitive, and cost-effective have shown great promise to meet the critical demand for onsite and immediate diagnosis and treatment of food safety and quality control (i.e. point-of-care technology). This review article focuses on the recent development of different biosensors for food safety and quality monitoring. In general, the application of biosensors in agriculture (i.e. pre-harvest stage) for early detection and routine control of plant infections or stress is discussed. Afterward, a more detailed advancement of biosensors in the past five years within the food supply chain (i.e. post-harvest stage) to detect different types of food contaminants and smart food packaging is highlighted. A section that discusses perspectives for the development of biosensors in the future is also mentioned.
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Affiliation(s)
- Catarina Meliana
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China
| | - Jingjing Liu
- College of Automation Engineering, Northeast Electric Power University, Jilin, Jilin Province, China
| | - Pau Loke Show
- Department of Chemical Engineering, Khalifa University, Abu Dhabi, Abu Dhabi Municipality, United Arab Emirates
- Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor Darul Ehsan, Malaysia
| | - Sze Shin Low
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, Zhejiang Province, China
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Ding N, Liu R, Zhang B, Yang N, Qin M, Zhang Y, Wang Z. A fluorescent nanoprobe and paper-based nanofiber platform for detection and imaging of Fe 3+ in actual samples and living cells. Talanta 2024; 271:125713. [PMID: 38310757 DOI: 10.1016/j.talanta.2024.125713] [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: 10/12/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/06/2024]
Abstract
In this study, a novel fluorescent nanoprobe (ZIF-90@FSS) was constructed using a zeolite imidazolium ester skeleton (ZIF-90) incorporating sodium fluorescein within its porous structure. Notably, this nanoprobe exhibited regular fluorescence "off" detection performance of Fe3+ in actual samples and living cells. The concentration range of 0-150 ng/mL exhibited a lowest detection limit of 0.26 ng/mL. A nanofiber paper-based platform (VL78/ZIF-90@FSS) was further developed by coupling the prepared nanoprobe to a multi-dimensional fiber paper via CN bonds, enabling rapid visual white light colorimetric and fluorescence imaging of Fe3+ within 2 min. The constructed nanoprobe and its paper-based detection platforms demonstrated a stable recovery range in tap water, beer, and soy sauce samples during spiking-recovery assessments. The recovery rates ranged from 98.46 % to 108.24 % for the nanoprobe and from 91.75 % to 108.71 % for the nanofiber paper-based platform. Therefore, the developed nano-fluorescent sensor and paper-based nanofiber sensing platform offer a promising strategy for the visual detection of Fe3+, while also presenting novel and valuable methods to investigate the regulatory mechanisms of Fe3+ in living cells.
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Affiliation(s)
- Ning Ding
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Ruoqing Liu
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Bo Zhang
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China
| | - Ningru Yang
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Mingwei Qin
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Yin Zhang
- Key Laboratory of Meat Processing of Sichuan, Chengdu University, Chengdu, 610106, China
| | - Zhouping Wang
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China; Key Laboratory of Meat Processing of Sichuan, Chengdu University, Chengdu, 610106, China; National Engineering Research Center for Functional Food, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, 214122, China.
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Liu W, Zhu C, Gao S, Ma K, Zhang S, Du Q, Sui K, Liu C, Chi Z. A biosensor encompassing fusarinine C-magnetic nanoparticles and aptamer-red/green carbon dots for dual-channel fluorescent and RGB discrimination of Campylobacter and Aliarcobacter. Talanta 2024; 266:125085. [PMID: 37619471 DOI: 10.1016/j.talanta.2023.125085] [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: 03/14/2023] [Revised: 07/29/2023] [Accepted: 08/15/2023] [Indexed: 08/26/2023]
Abstract
The diarrhea pathogens Campylobacter and Aliarcobacter are similar in morphology and their leading symptoms, making them difficult to be differentially diagnosed. Herein, we report a biosensor with two modules to differentiate the genera-representative species of C. jejuni and A. butzleri. Module 1 was fusarinine C-decorated magnetic nanoparticles; module 2 consisted of C. jejuni-specific aptamer modified with red-emitting carbon dots (CDs) and A. butzleri-specific aptamer-modified green-emitting CDs, consisting non-interfering dual-fluorescence detection channels. Module 1 was used to selectively capture C. jejuni and A. butzleri from an un-cultured sample, and the specific CDs in module 2 would then recognize and bind to their counterpart bacteria when subjected to the collected module 1-bacteria complex. By measuring the fluorescence intensities from the CDs-bound bacteria, the abundance of each bacterium could be differentially indicated. This biosensor exhibited a wide detection range of up to 1 × 107 CFU/mL and the lowest limit of detection (LOD) of 1 CFU/mL, for each bacterium. Thus, the biosensor with dual-fluorescent channels facilitated a culture-independent, ultrasensitive and discriminative detection of C. jejuni and A. butzleri. Remarkably, this fluorescent detection could be transformed into RGB color indication to render the visual discrimination. After the biosensor was coupled with microfluidics, a biosensing platform was developed, which could render fluorescent and RGB differentiation of the two bacteria in human stool or chicken broilers, achieving a LOD of 5 CFU/mL and turnaround time of 65 min. This work established the first biosensor-based methodology for the discriminative detection of Campylobacter and Aliarcobacter in real samples.
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Affiliation(s)
- Weixing Liu
- College of Marine Life Sciences, Ocean University of China, No. 5 Yushan Road, 266003, Qingdao, China
| | - Chengrui Zhu
- Haide College, Ocean University of China, No. 238 Songling Road, 266100, Qingdao, China
| | - Shaoqian Gao
- Haide College, Ocean University of China, No. 238 Songling Road, 266100, Qingdao, China
| | - Keran Ma
- Haide College, Ocean University of China, No. 238 Songling Road, 266100, Qingdao, China
| | - Shangxian Zhang
- Haide College, Ocean University of China, No. 238 Songling Road, 266100, Qingdao, China
| | - Qingbao Du
- College of Marine Life Sciences, Ocean University of China, No. 5 Yushan Road, 266003, Qingdao, China; Qingdao Sinova-HK Biotechnology Co., Ltd, No. 5138 Haixi Middle Road, 266423, Qingdao, China
| | - Kangmin Sui
- Qingdao Municipal Hospital, University of Health and Rehabilitation Science, No. 5 Donghai Middle Road, 266071, Qingdao, China.
| | - Chenguang Liu
- College of Marine Life Sciences, Ocean University of China, No. 5 Yushan Road, 266003, Qingdao, China
| | - Zhe Chi
- College of Marine Life Sciences, Ocean University of China, No. 5 Yushan Road, 266003, Qingdao, China.
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Atay E, Altan A. Nanomaterial interfaces designed with different biorecognition elements for biosensing of key foodborne pathogens. Compr Rev Food Sci Food Saf 2023; 22:3151-3184. [PMID: 37222549 DOI: 10.1111/1541-4337.13179] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/25/2023]
Abstract
Foodborne diseases caused by pathogen bacteria are a serious problem toward the safety of human life in a worldwide. Conventional methods for pathogen bacteria detection have several handicaps, including trained personnel requirement, low sensitivity, laborious enrichment steps, low selectivity, and long-term experiments. There is a need for precise and rapid identification and detection of foodborne pathogens. Biosensors are a remarkable alternative for the detection of foodborne bacteria compared to conventional methods. In recent years, there are different strategies for the designing of specific and sensitive biosensors. Researchers activated to develop enhanced biosensors with different transducer and recognition elements. Thus, the aim of this study was to provide a topical and detailed review on aptamer, nanofiber, and metal organic framework-based biosensors for the detection of food pathogens. First, the conventional methods, type of biosensors, common transducer, and recognition element were systematically explained. Then, novel signal amplification materials and nanomaterials were introduced. Last, current shortcomings were emphasized, and future alternatives were discussed.
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Affiliation(s)
- Elif Atay
- Department of Food Engineering, Mersin University, Mersin, Turkey
| | - Aylin Altan
- Department of Food Engineering, Mersin University, Mersin, Turkey
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Xue L, Guo R, Jin N, Wang S, Duan H, Qi W, Wang L, Zheng Y, Li Y, Lin J. Rapid and automatic Salmonella typhimurium detection integrating continuous-flow magnetic separation and dynamic impedance measurement. Food Control 2023. [DOI: 10.1016/j.foodcont.2022.109316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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