Abstract
In this study, we develop a method to detect multiple DNAs of foodborne pathogens by encapsulating emulsion droplets for loop-mediated isothermal amplification (LAMP). In contrast to the traditional bulk-phase LAMP, which involves a labor-intensive mixing process, with our method, different primers are automatically mixed with DNA samples and LAMP buffers after picoinjection. By directly observing and analyzing the fluorescence intensity of the resultant droplets, one can detect DNA from different pathogens, with a detection limit 500 times lower than that obtained by bulk-phase LAMP. We further demonstrate the ability to quantify bacteria concentration by detecting bacterial DNA in practical samples, showing great potential in monitoring water resources and their contamination by pathogenic bacteria. © 2018 American Chemical Society.
| Original language | English |
|---|---|
| Pages (from-to) | 13173-13177 |
| Journal | Analytical Chemistry |
| Volume | 90 |
| Issue number | 22 |
| DOIs | |
| Publication status | Published - 20 Nov 2018 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
We would like to thank Dr. Jingmei Li for her generous help on MATLAB software programing and Dr. Qingming Ma for his constructive suggestions. We thank the technical support from Double Helix company (Guangdong, China). This work was supported by the General Research Fund (Nos. 17304514, 17306315, 17304017, and 17329516) from the Research Grants Council of Hong Kong, the General Program (No. 21476189/B060201), and the Major Research plan (No. 91434202) from the National Natural Science Foundation of China as well as the Seed Fund for Basic Research (Nos. 201711159249, 201611159205, and 201511159280), Seed Fund for Translational and Applied Research (201711160016), and Platform Technology Funding from the University of Hong Kong.