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Memon R, Niazi JH, Qureshi A. Biosensors for detection of airborne pathogenic fungal spores: a review. NANOSCALE 2024; 16:15419-15445. [PMID: 39078286 DOI: 10.1039/d4nr01175a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/31/2024]
Abstract
The excessive presence of airborne fungal spores presents major concerns with potential adverse impacts on public health and food safety. These spores are recognized as pathogens and allergens prevalent in both outdoor and indoor environments, particularly in public spaces such as hospitals, schools, offices and hotels. Indoor environments pose a heightened risk of pulmonary diseases due to continuous exposure to airborne fungal spore particles through constant inhalation, especially in those individuals with weakened immunity and immunocompromised conditions. Detection methods for airborne fungal spores are often expensive, time-consuming, and lack sensitivity, making them unsuitable for indoor/outdoor monitoring. However, the emergence of micro-nano biosensor systems offers promising solutions with miniaturized designs, nanomaterial integration, and microfluidic systems. This review provides a comprehensive overview of recent advancements in bio-nano-sensor system technology for detecting airborne fungal spores, while also discussing future trends in biosensor device development aimed at achieving rapid and selective identification of pathogenic airborne fungi.
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Affiliation(s)
- Roomia Memon
- Sabanci University, SUNUM Nanotechnology Research and Application Center, Orta Mah. Tuzla 34956, Istanbul, Turkey.
| | - Javed H Niazi
- Sabanci University, SUNUM Nanotechnology Research and Application Center, Orta Mah. Tuzla 34956, Istanbul, Turkey.
| | - Anjum Qureshi
- Sabanci University, SUNUM Nanotechnology Research and Application Center, Orta Mah. Tuzla 34956, Istanbul, Turkey.
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Kaushal S, Shrivastava S, Yun YR, Park Y, Thanh-Qui Nguyen T, Meeseepong M, Lee E, Jeon B, Gu MB, Yang S, Lee NE. Culture-Free Quantification of Bacteria Using Digital Fluorescence Imaging in a Tunable Magnetic Capturing Cartridge for Onsite Food Testing. ACS Sens 2022; 7:2188-2197. [PMID: 35930745 DOI: 10.1021/acssensors.2c00372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Accurate, onsite detection of pathogenic bacteria from food matrices is required to rapidly respond to pathogen outbreaks. However, accurately detecting whole-cell bacteria in large sample volumes without an enrichment step remains a challenge. Therefore, bacterial samples must be concentrated, identified, and quantified. We developed a tunable magnetic capturing cartridge (TMCC) and combined it with a portable digital fluorescence reader for quick, onsite, quantitative detection of Staphylococcus aureus. The TMCC platform integrates an absorption pad impregnated with water-soluble polyvinyl alcohol (PVA) with an injection-molded polycarbonate (PC) plate that has a hard magnet on its back and an acrylonitrile-butadiene-styrene case. An S. aureus-specific antibody conjugated with magnetic nanoparticles was used to concentrate bacteria from a large-volume sample and capture bacteria within the TMCC. The retention time for capturing bacteria on the TMCC was adjusted by controlling the concentration and volume of the PVA solution. Concentrated bacterial samples bound to target-specific aptamer probes conjugated with quantum dots were loaded into the TMCC for a controlled time, followed by attachment of the bacteria to the PC plate and removal of unbound aptamer probes with wash buffer. The captured bacteria were quantified using a digital fluorescence reader equipped with an embedded program that automatically counts fluorescently tagged bacteria. The bacterial count made using the TMCC was comparable to a standard plate count (R2 = 0.9898), with assay sensitivity and specificity of 94.3 and 100%, respectively.
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Affiliation(s)
- Sandeep Kaushal
- School of Advanced Materials Science & Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea
| | - Sajal Shrivastava
- School of Advanced Materials Science & Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea
| | - Young-Ran Yun
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea
| | - Younghyeon Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Gyeonggi-do, Suwon 16419, Korea
| | - Thi Thanh-Qui Nguyen
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Korea
| | - Montri Meeseepong
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea
| | - Eunghyuk Lee
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea
| | - Byeungwoo Jeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Gyeonggi-do, Suwon 16419, Korea
| | - Man Bock Gu
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Korea
| | - Sung Yang
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea.,School of Mechanical Engineering, GIST, Gwangju 610005, Korea
| | - Nae-Eung Lee
- School of Advanced Materials Science & Engineering, Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea.,SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea.,Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea.,Institute of Quantum Biophysics (IQB), Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea.,Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University, Gyeonggi-do, Suwon 16419, Korea
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Haojie G. Innovation and Entrepreneurship Strategies of Teachers and Students in Financial Colleges and Universities Under the Direction of Food Security. Front Psychol 2022; 13:848554. [PMID: 35664218 PMCID: PMC9158438 DOI: 10.3389/fpsyg.2022.848554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
This study aims to better promote the innovation and entrepreneurship of teachers and students in finance and economics colleges and universities in terms of food security. Based on the relevant theories such as food security, innovation and entrepreneurship, the questionnaire was used to investigate the issues related to food security of teachers and students in colleges and universities. Next, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) analysis method was introduced to evaluate the safety metrics of the response subsystem. Finally, Internet of Things (IoT) monitoring technology was applied to grain growth and sales. The research results show that college teachers and students have a disjointed cognition of food security as important talents in innovation and entrepreneurship. After the TOPSIS analysis method is used to study, when college teachers and students choose to start a business in food security, they must pay attention to the changes in economic factors. The IoT monitoring technology is applied to grain growth and sales, and the monitoring technology of the IoT could reduce the mortality rate of corn seedlings to 3.59%. The mortality rate of seedlings is much higher than that of farmers relying on their own experience to grow corn. Therefore, this has great reference significance for the innovation and entrepreneurship development of college teachers and students in food security at this stage.
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Affiliation(s)
- Guan Haojie
- School of Economics and Trade, Henan University of Technology, Zhengzhou, China
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Guo R, Xue L, Jin N, Duan H, Li M, Lin J. Power-free microfluidic biosensing of Salmonella with slide multivalve and disposable syringe. Biosens Bioelectron 2022; 213:114458. [PMID: 35714495 DOI: 10.1016/j.bios.2022.114458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/30/2022] [Accepted: 06/05/2022] [Indexed: 11/17/2022]
Abstract
In this study, a power-free biosensor was presented to detect Salmonella typhimurium on a microfluidic chip using a slide multivalve for channel selection and a disposable syringe for fluidic transfer. First, bacterial sample with immunomagnetic nanoparticles (IMNPs) and glucose oxidase (GOx) modified immune polystyrene nanoparticles (IPNPs), washing buffer, glucose, and peroxide test strip (PTS) were preloaded in their respective chambers at the periphery of chip. After the slide multivalve was selected to connect sample chamber with common separation chamber, which was connected with a syringe, the mixture of Salmonella, IMNPs and IPNPs was back and forth moved through 3D Tesla-structure micromixer using the syringe, resulting in the formation of IMNP-Salmonella-IPNP complexes, which were captured in the separation chamber using a magnet. Then, two washing chambers were selectively connected respectively to remove sample background and excessive IPNPs, and glucose chamber was connected, allowing the GOx to catalyze glucose to produce hydrogen peroxide in the separation chamber. Finally, PTS chamber was connected and the catalysate was transferred from the separation chamber to the PTS chamber, leading to the color change of PTS, followed by using smartphone App to collect and analyze the image of PTS for bacterial determination. The simple biosensor enabled simple detection of Salmonella as few as 130 CFU/mL within 60 min and is promising for practical applications in the resource-limited regions due to its low cost, simple operation, and small size.
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Affiliation(s)
- Ruya Guo
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - Li Xue
- Key Laboratory of Smart Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, 100083, China
| | - Nana Jin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - Hong Duan
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - Miaoyun Li
- College of Food Science and Technology, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jianhan Lin
- Key Laboratory of Smart Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, 100083, China.
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Xing G, Zhang W, Li N, Pu Q, Lin JM. Recent progress on microfluidic biosensors for rapid detection of pathogenic bacteria. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2021.08.073] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Islam MA, Hassen WM, Ishika I, Tayabali AF, Dubowski JJ. Selective Detection of Legionella pneumophila Serogroup 1 and 5 with a Digital Photocorrosion Biosensor Using Antimicrobial Peptide-Antibody Sandwich Strategy. BIOSENSORS 2022; 12:105. [PMID: 35200365 PMCID: PMC8869675 DOI: 10.3390/bios12020105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 02/02/2022] [Accepted: 02/02/2022] [Indexed: 11/17/2022]
Abstract
Rapid detection of Legionella pneumophila (L. pneumophila) is important for monitoring the presence of these bacteria in water sources and preventing the transmission of the Legionnaires' disease. We report improved biosensing of L. pneumophila with a digital photocorrosion (DIP) biosensor functionalized with an innovative structure of cysteine-modified warnericin antimicrobial peptides for capturing bacteria that are subsequently decorated with anti-L. pneumophila polyclonal antibodies (pAbs). The application of peptides for the operation of a biosensing device was enabled by the higher bacterial-capture efficiency of peptides compared to other traditional ligands, such as those based on antibodies or aptamers. At the same time, the significantly stronger affinity of pAbs decorating the L. pneumophila serogroup-1 (SG-1) compared to serogroup-5 (SG-5) allowed for the selective detection of L. pneumophila SG-1 at 50 CFU/mL. The results suggest that the attractive sensitivity of the investigated sandwich method is related to the flow of an extra electric charge between the pAb and a charge-sensing DIP biosensor. The method has the potential to offer highly specific and sensitive detection of L. pneumophila as well as other pathogenic bacteria and viruses.
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Affiliation(s)
- M. Amirul Islam
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Department of Electrical and Computer Engineering, Université de Sherbrooke, 3000, Boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (M.A.I.); (W.M.H.); (I.I.)
| | - Walid M. Hassen
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Department of Electrical and Computer Engineering, Université de Sherbrooke, 3000, Boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (M.A.I.); (W.M.H.); (I.I.)
| | - Ishika Ishika
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Department of Electrical and Computer Engineering, Université de Sherbrooke, 3000, Boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (M.A.I.); (W.M.H.); (I.I.)
| | - Azam F. Tayabali
- Biotechnology Laboratory, Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Environmental Health Centre, Health Canada, Ottawa, ON K1A 0K9, Canada;
| | - Jan J. Dubowski
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Department of Electrical and Computer Engineering, Université de Sherbrooke, 3000, Boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (M.A.I.); (W.M.H.); (I.I.)
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Advances in nanomaterial-based microfluidic platforms for on-site detection of foodborne bacteria. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2021.116509] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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