Subscriber access provided by CAL STATE UNIV BAKERSFIELD
Article
3D-printed point-of-care platform for genetic testing of infectious diseases directly in human samples using acoustic sensors and a smartphone George Papadakis, Alexandros Pantazis, Maria Ntogka, Konstantinos Parasyris, Gesthimani-Ioanna Theodosi, Georgia Kaprou, and Electra Gizeli ACS Sens., Just Accepted Manuscript • DOI: 10.1021/acssensors.9b00264 • Publication Date (Web): 09 Apr 2019 Downloaded from http://pubs.acs.org on April 10, 2019
Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.
is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.
Page 1 of 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
ACS Sensors
3D-printed point-of-care platform for genetic testing of infectious diseases directly in human samples using acoustic sensors and a smartphone George Papadakis,1,* Alexandros K. Pantazis,1 Maria Ntogka,2 Konstantinos Parasyris,2 Gesthimani-Ioanna Theodosi,1,2 Georgia Kaprou2,3 and Electra Gizeli 1,2,* 1
Institute of Molecular Biology and Biotechnology-FORTH, 100 N. Plastira Str, Heraklion, 70013, Greece
2
Department of Biology, Univ. of Crete, Voutes, Heraklion, 70013, Greece
3 Institute of Nanoscience and Nanotechnology, NCSR-Demokritos, Patr. Gregoriou E’ and 27 Neapoleos Str., 15341 Aghia Paraskevi, Attiki, Greece
KEYWORDS: Acoustic biosensor, LAMP, quantitative nucleic acid detection, crude human samples, point-of-care, Salmonella testing; smartphone molecular diagnostics; resource limited areas ABSTRACT: The objective of this work is to develop a methodology and associated platform for nucleic acid detection at the pointof-care (POC) that is sensitive, user-friendly, affordable, rapid and robust. The heart of this system is an acoustic wave sensor, based on a Surface Acoustic Wave (SAW) or Quartz Crystal Microbalance (QCM) device, which is employed for the label-free detection of isothermally amplified target DNA. Nucleic acids amplification and detection is demonstrated inside three crude human samples, i.e., whole blood, saliva, and nasal swab, spiked in with 10-100 Salmonella cells. To qualify for POC applications, a portable platform was developed based on 3D-printing, integrating inside a single box: (i) simple fluidics based on plastic tubing and a mini peristaltic pump, (ii) a heating plate combined with disposable reaction tubes for isothermal amplification; (iii) a mini antenna analyzer operated through a tablet; and (iv) an acoustic wave device housing unit. The simplicity of the method combined with smartphone operation and detection, rapid sample-to-answer analysis time (30 min) and high performance (detection limit
