High-throughput microfluidic chip for magnetic enrichment and photothermal DNA extraction of foodborne bacteria

Kwon, Kirok; Gwak, Hogyeong; Hyun, Kyung A.; Kwak, Byung Kook; Jung, Hyo Il

doi:10.1016/j.snb.2019.05.007

Cited by 25 publications

(10 citation statements)

References 28 publications

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“…The number of bacteria obtained after HTH enrichment was tens to hundreds of times greater than that obtained without the HTH enrichment. This result is comparable with the results of previous studies. , …”

Section: Resultssupporting

confidence: 93%

Aerosol-to-Hydrosol Sampling and Simultaneous Enrichment of Airborne Bacteria For Rapid Biosensing

Kim

Hwang

2020

ACS Sens.

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Rapid monitoring of biological particulate matter (Bio-PM, bioaerosols) requires an enrichment technique for concentrating the Bio-PM dispersed in the air into a small volume of liquid. In this study, an electrostatic air sampler is employed to capture aerosolized test bacteria in a carrier liquid (aerosol-to-hydrosol (ATH) enrichment). Simultaneously, the captured bacteria are carried into a fluid channel for hydrosol-to-hydrosol (HTH) enrichment with Concanavalin A coated magnetic particles (CMPs). The ATH enrichment capacity of the air sampler was evaluated with an aerosol particle counter for the following test bacteria: Staphylococcus aureus, Bacillus cereus, Escherichia coli, and Acinetobacter baumannii. Then, the HTH enrichment capacity for the ATH-collected sample was evaluated using the colony-counting method, scanning electron microscopy based image analysis, fluorescence microscopy, electrical current measurements, and real-time quantitative polymerase chain reaction (qPCR). The ATH and HTH enrichment capacities for the given operation conditions were up to 80 000 and 14.9, respectively, resulting in a total enrichment capacity of up to 1.192 × 106. Given that air-to-liquid enrichment required to prepare detectable bacterial samples for real-time qPCR in field environments is of the order of at least 106, our method can be used to prepare a detectable sample from low-concentration airborne bacteria in the field and significantly reduce the time required for Bio-PM monitoring because of its enrichment capacity.

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Section: Resultssupporting

confidence: 93%

Aerosol-to-Hydrosol Sampling and Simultaneous Enrichment of Airborne Bacteria For Rapid Biosensing

Kim

Hwang

2020

ACS Sens.

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“…These results confirm that the device has considerable throughput and can achieve continuous and rapid concentration of foodborne bacteria ( S. aureus , S. typhimurium , and L. monocytogenes ). Kwon et al [ 79 ] developed a high-throughput sample pretreatment microfluidic chip that can enrich microorganisms in food with magnetic particles and extract DNA from the photothermal effect of the magnetic particles. Magnetic particles modified with ConA can capture a variety of pathogens in samples.…”

Section: Application Of Microfluidic Chips In Sample Pretreatment Of Foodborne Pathogensmentioning

confidence: 99%

Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review

Wang

et al. 2022

Anal Bioanal Chem

110

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Foodborne diseases caused by pathogenic bacteria pose a serious threat to human health. Early and rapid detection of foodborne pathogens is an urgent task for preventing disease outbreaks. Microfluidic devices are simple, automatic, and portable miniaturized systems. Compared with traditional techniques, microfluidic devices have attracted much attention because of their high efficiency and convenience in the concentration and detection of foodborne pathogens. This article firstly reviews the bio-recognition elements integrated on microfluidic chips in recent years and the progress of microfluidic chip development for pathogen pretreatment. Furthermore, the research progress of microfluidic technology based on optical and electrochemical sensors for the detection of foodborne pathogenic bacteria is summarized and discussed. Finally, the future prospects for the application and challenges of microfluidic chips based on biosensors are presented. Graphical abstract

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“…For microfluidic chips, chemiluminescent-based carbon dots, quantum dots and metal nanoparticles were developed for the determination of nitrite, 31 food allergen, 32 organophosphorus pesticides, 33 foodborne bacteria 34 and salmonella. 35 An example for microfluidic chip is demonstrated in Fig.…”

Section: Application Of Flow-based System For Quality Control and Foo...mentioning

confidence: 99%

Flow-based System: A Highly Efficient Tool Speeds Up Data Production and Improves Analytical Performance

et al. 2020

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In this review, we cite references from the period between 2015 and 2020 related to the use of a flow-based system as a tool to obtain a modern analytical system for speeding up data production and improving performance. Based on a great deal of concepts for automatic systems, there are several research groups introduced in the development of flow-based systems to increase sample throughput while retaining the reproducibility and repeatability as well as to propose new platforms of flow-based systems, such as microfluidic chip and paper-based devices. Additionally, to apply a developed system for on-site analysis is one of the key features for development. We believe that this review will be very interested and useful for readers because of its impact on developing novel analytical systems. The content of the review is categorized following their applications including quality control and food safety, clinical diagnostics, environmental monitoring and miscellaneous.

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High-throughput microfluidic chip for magnetic enrichment and photothermal DNA extraction of foodborne bacteria

Cited by 25 publications

References 28 publications

Aerosol-to-Hydrosol Sampling and Simultaneous Enrichment of Airborne Bacteria For Rapid Biosensing

Aerosol-to-Hydrosol Sampling and Simultaneous Enrichment of Airborne Bacteria For Rapid Biosensing

Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review

Flow-based System: A Highly Efficient Tool Speeds Up Data Production and Improves Analytical Performance

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