Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce
Foodborne illnesses are one of the most severe and prevalent health problems in the world. Thus, achieving the rapid and accurate identification of foodborne pathogens is important. This study presents an automatic device to perform a multistep immunoassay on a lateral flow immunoassay strip to dete...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Chemosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9040/11/1/36 |
| _version_ | 1797444340183728128 |
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| author | Pattarapon Phangwipas Balamurugan Thangavel Joong Ho Shin |
| author_facet | Pattarapon Phangwipas Balamurugan Thangavel Joong Ho Shin |
| author_sort | Pattarapon Phangwipas |
| collection | DOAJ |
| description | Foodborne illnesses are one of the most severe and prevalent health problems in the world. Thus, achieving the rapid and accurate identification of foodborne pathogens is important. This study presents an automatic device to perform a multistep immunoassay on a lateral flow immunoassay strip to detect foodborne pathogens from fresh lettuce. The device is automatically operated using a smartphone application that we developed, which allows users to quantify the detection results. In this study, we characterize the device’s limit of detection and demonstrate the detection and quantification of <i>Escherichia coli</i> O157:H7 from contaminated lettuce. We then compare the quantified result to that calculated by counting colonies from agar plates. The device is capable of detecting contamination in lettuces that have as low as 5 × 10<sup>4</sup> <i>Escherichia coli</i> O157:H7 per 10 g. |
| first_indexed | 2024-03-09T13:11:12Z |
| format | Article |
| id | doaj.art-047ac295092149fa835656db6b71afff |
| institution | Directory Open Access Journal |
| issn | 2227-9040 |
| language | English |
| last_indexed | 2024-03-09T13:11:12Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Chemosensors |
| spelling | doaj.art-047ac295092149fa835656db6b71afff2023-11-30T21:41:40ZengMDPI AGChemosensors2227-90402023-01-011113610.3390/chemosensors11010036Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh LettucePattarapon Phangwipas0Balamurugan Thangavel1Joong Ho Shin2Department of Biomedical Engineering, Pukyong National University, Busan 48513, Republic of KoreaDepartment of Biomedical Engineering, Pukyong National University, Busan 48513, Republic of KoreaDepartment of Biomedical Engineering, Pukyong National University, Busan 48513, Republic of KoreaFoodborne illnesses are one of the most severe and prevalent health problems in the world. Thus, achieving the rapid and accurate identification of foodborne pathogens is important. This study presents an automatic device to perform a multistep immunoassay on a lateral flow immunoassay strip to detect foodborne pathogens from fresh lettuce. The device is automatically operated using a smartphone application that we developed, which allows users to quantify the detection results. In this study, we characterize the device’s limit of detection and demonstrate the detection and quantification of <i>Escherichia coli</i> O157:H7 from contaminated lettuce. We then compare the quantified result to that calculated by counting colonies from agar plates. The device is capable of detecting contamination in lettuces that have as low as 5 × 10<sup>4</sup> <i>Escherichia coli</i> O157:H7 per 10 g.https://www.mdpi.com/2227-9040/11/1/36contaminationpathogenic bacteriasmartphonelateral flow immunoassayautomatic detectionimmunosensor |
| spellingShingle | Pattarapon Phangwipas Balamurugan Thangavel Joong Ho Shin Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce Chemosensors contamination pathogenic bacteria smartphone lateral flow immunoassay automatic detection immunosensor |
| title | Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce |
| title_full | Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce |
| title_fullStr | Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce |
| title_full_unstemmed | Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce |
| title_short | Automated Multistep Lateral Flow Immunoassay Using a Smartphone for the Quantification of Foodborne Bacteria from Fresh Lettuce |
| title_sort | automated multistep lateral flow immunoassay using a smartphone for the quantification of foodborne bacteria from fresh lettuce |
| topic | contamination pathogenic bacteria smartphone lateral flow immunoassay automatic detection immunosensor |
| url | https://www.mdpi.com/2227-9040/11/1/36 |
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