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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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Ly NH, Aminabhavi TM, Vasseghian Y, Joo SW. Advanced protein nanobiosensors to in-situ detect hazardous material in the environment. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 366:121727. [PMID: 39008923 DOI: 10.1016/j.jenvman.2024.121727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/17/2024]
Abstract
Determining hazardous substances in the environment is vital to maintaining the safety and health of all components of society, including the ecosystem and humans. Recently, protein-based nanobiosensors have emerged as effective tools for monitoring potentially hazardous substances in situ. Nanobiosensor detection mode is a combination of particular plasmonic nanomaterials (e.g., nanoparticles, nanotubes, quantum dots, etc.), and specific bioreceptors (e.g., aptamers, antibodies, DNA, etc.), which has the benefits of high selectivity, sensitivity, and compatibility with biological systems. The role of these nanobiosensors in identifying dangerous substances (e.g., heavy metals, organic pollutants, pathogens, toxins, etc.) is discussed along with different detection mechanisms and various transduction methods (e.g., electrical, optical, mechanical, electrochemical, etc.). In addition, topics discussed include the design and construction of these sensors, the selection of proteins, the integration of nanoparticles, and their development processes. A discussion of the challenges and prospects of this technology is also included. As a result, protein nanobiosensors are introduced as a powerful tool for monitoring and improving environmental quality and community safety.
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Affiliation(s)
- Nguyen Hoang Ly
- Department of Chemistry, Gachon University, Seongnam, 13120, South Korea
| | - Tejraj M Aminabhavi
- Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Hubballi, Karnataka, 580 031, India; Korea University, Seoul, South Korea; School of Engineering, University of Petroleum and Energy Studies (UPES) Uttarakhand, Dehradun, 248 007, India.
| | - Yasser Vasseghian
- Department of Chemistry, Soongsil University, Seoul, 06978, South Korea; Centre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, 603103, Tamil Nadu, India.
| | - Sang-Woo Joo
- Department of Chemistry, Soongsil University, Seoul, 06978, South Korea.
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Tyagi A, Mir ZA, Ali S. Revisiting the Role of Sensors for Shaping Plant Research: Applications and Future Perspectives. SENSORS (BASEL, SWITZERLAND) 2024; 24:3261. [PMID: 38894052 PMCID: PMC11174810 DOI: 10.3390/s24113261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/14/2024] [Accepted: 05/18/2024] [Indexed: 06/21/2024]
Abstract
Plant health monitoring is essential for understanding the impact of environmental stressors (biotic and abiotic) on crop production, and for tailoring plant developmental and adaptive responses accordingly. Plants are constantly exposed to different stressors like pathogens and soil pollutants (heavy metals and pesticides) which pose a serious threat to their survival and to human health. Plants have the ability to respond to environmental stressors by undergoing rapid transcriptional, translational, and metabolic reprogramming at different cellular compartments in order to balance growth and adaptive responses. However, plants' exceptional responsiveness to environmental cues is highly complex, which is driven by diverse signaling molecules such as calcium Ca2+, reactive oxygen species (ROS), hormones, small peptides and metabolites. Additionally, other factors like pH also influence these responses. The regulation and occurrence of these plant signaling molecules are often undetectable, necessitating nondestructive, live research approaches to understand their molecular complexity and functional traits during growth and stress conditions. With the advent of sensors, in vivo and in vitro understanding of some of these processes associated with plant physiology, signaling, metabolism, and development has provided a novel platform not only for decoding the biochemical complexity of signaling pathways but also for targeted engineering to improve diverse plant traits. The application of sensors in detecting pathogens and soil pollutants like heavy metal and pesticides plays a key role in protecting plant and human health. In this review, we provide an update on sensors used in plant biology for the detection of diverse signaling molecules and their functional attributes. We also discuss different types of sensors (biosensors and nanosensors) used in agriculture for detecting pesticides, pathogens and pollutants.
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Affiliation(s)
- Anshika Tyagi
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Zahoor Ahmad Mir
- Department of Plant Science and Agriculture, University of Manitoba, Winnipeg, MB R2M0TB, Canada;
| | - Sajad Ali
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea
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Mondal R, Shaw S, Mandal P, Dam P, Mandal AK. Recent advances in the biosensors application for reviving infectious disease management in silkworm model: a new way to combat microbial pathogens. Arch Microbiol 2024; 206:206. [PMID: 38575737 DOI: 10.1007/s00203-024-03933-5] [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: 02/09/2024] [Revised: 03/06/2024] [Accepted: 03/14/2024] [Indexed: 04/06/2024]
Abstract
Silkworms are an essential economic insect but are susceptible to diseases during rearing, leading to yearly losses in cocoon production. While chemical control is currently the primary method to reduce disease incidences, its frequent use can result in loss of susceptibility to pathogens and, ultimately, antibiotic resistance. To effectively prevent or control disease, growers must accurately, sensitively, and quickly detect causal pathogens to determine the best management strategies. Accurate recognition of diseased silkworms can prevent pathogen transmission and reduce cocoon loss. Different pathogen detection methods have been developed to achieve this objective, but they need more precision, specificity, consistency, and promptness and are generally unsuitable for in-situ analysis. Therefore, detecting silkworm diseases under rearing conditions is still an unsolved problem. As a consequence of this, there is an enormous interest in the development of biosensing systems for the early and precise identification of pathogens. There is also significant room for improvement in translating novel biosensor techniques to identify silkworm pathogens. This study explores the types of silkworm diseases, their symptoms, and their causal microorganisms. Moreover, we compare the traditional approaches used in silkworm disease diagnostics along with the latest sensing technologies, with a precise emphasis on lateral flow assay-based biosensors that can detect and manage silkworm pathogens.
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Affiliation(s)
- Rittick Mondal
- Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, Uttar Dinajpur, West Bengal, 733134, India
| | - Shubhajit Shaw
- Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, Uttar Dinajpur, West Bengal, 733134, India
| | - Pankaj Mandal
- Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, Uttar Dinajpur, West Bengal, 733134, India
| | - Paulami Dam
- Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, Uttar Dinajpur, West Bengal, 733134, India.
| | - Amit Kumar Mandal
- Chemical Biology Laboratory, Department of Sericulture, Raiganj University, Raiganj, Uttar Dinajpur, West Bengal, 733134, India.
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Kumar S, Singh H, Feder-Kubis J, Nguyen DD. Recent advances in nanobiosensors for sustainable healthcare applications: A systematic literature review. ENVIRONMENTAL RESEARCH 2023; 238:117177. [PMID: 37751831 DOI: 10.1016/j.envres.2023.117177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 09/28/2023]
Abstract
The need for novel healthcare treatments and drugs has increased due to the expanding human population, detection of newer diseases, and looming pandemics. The development of nanotechnology offers a platform for cutting-edge in vivo non-invasive monitoring and point-of-care-testing (POCT) for rehabilitative disease detection and management. The advancement and uses of nanobiosensors are currently becoming more common in a variety of scientific fields, such as environmental monitoring, food safety, biomedical, clinical, and sustainable healthcare sciences, since the advent of nanotechnology. The identification and detection of biological patterns connected to any type of disease (communicable or not) have been made possible in recent years by several sensing techniques utilizing nanotechnology concerning biosensors and nanobiosensors. In this work, 2218 articles are drawn and screened from six digital databases out of which 17 were shortlisted for this review by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) technique. As a result, this study uses a systematic methodology to review some recently developed extremely sensitive nanobiosensors, along with their biomedical, point-of-care diagnostics (POCD), or healthcare applications and their capabilities, particularly for the prediction of some fatal diseases based on a few of the most recent publications. The potential of nanobiosensors for medicinal, therapeutic, or other sustainable healthcare applications, notably for ailments diagnostics, is also recognized as a way forward in the manifestation of future trends.
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Affiliation(s)
- Sunil Kumar
- Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India
| | - Harbinder Singh
- Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India.
| | - Joanna Feder-Kubis
- Faculty of Chemistry, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
| | - D Duc Nguyen
- Department of Civil & Energy System Engineering, Kyonggi University, Suwon 16227, South Korea
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