Function of the Speech Recognition of the Smartphone to Automatically Operate a Portable Sample Pretreatment Microfluidic System
- Hoang Khang BuiHoang Khang BuiDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South KoreaMore by Hoang Khang Bui
- ,
- Vu Minh PhanVu Minh PhanDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South KoreaMore by Vu Minh Phan
- ,
- Huynh Quoc NguyenHuynh Quoc NguyenDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South KoreaMore by Huynh Quoc Nguyen
- ,
- Van Dan NguyenVan Dan NguyenDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South KoreaMore by Van Dan Nguyen
- ,
- Hiep Van NguyenHiep Van NguyenDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South KoreaMore by Hiep Van Nguyen
- , and
- Tae Seok Seo*Tae Seok Seo*Email: [email protected]Department of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South KoreaMore by Tae Seok Seo
ACS Editors' Choice® is a collection designed to feature scientific articles of broad public interest. Read the latest articles
Abstract
We proposed a portable sample pretreatment microsystem, which can be automatically operated through speech recognition in a smartphone app. The proposed sample pretreatment microsystem consists of a microfluidic chip, an air router, pressure and vacuum lines with air pump motors, six 3-way solenoid valves, and a microcontroller with a Bluetooth module. The command of a human voice conducted the whole process of DNA extraction from pathogenic bacterial samples. Thus, manual interference during the DNA extraction is eliminated, preventing any potential infection from human touch. The palm-sized sample pretreatment microsystem can be run by a portable battery or a conventional smartphone charger. Genomic DNA ofSalmonella typhimuriumwas purified on a chip in less than 1 min with an extraction efficiency of 70 ± 5%.
Cited By
This article is cited by 1 publications.
- Michael J. Sailor. The Three Laws of Nano-Robotics. ACS Sensors 2023, 8 (5) , 1868-1870. https://doi.org/10.1021/acssensors.3c00920