1
|
Pahlow S, Hentschel S, Horbert P, Romero C, Lehniger L, Wagner S, Popp J, Weber K. Isolation of pathogenic bacteria from sputum samples using a 3D-printed cartridge system. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:4884-4895. [PMID: 34590629 DOI: 10.1039/d1ay00924a] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Within this contribution we introduce a 3D-printed cartridge system enabling the convenient and cost-efficient sample preparation from sputum for subsequent PCR based detection schemes. The developed fluidic system operates on pneumatic actuations. The closed system ensures a very low probability for contamination during sample processing, which is crucial when using a highly sensitive detection method such as PCR. The enrichment of the bacterial cells is achieved using different types of amine-functionalized particles. Our particle-based sample preparation approach yields intact and viable bacterial cells. Accordingly, not only PCR-based detection schemes can be employed, but also spectroscopic methods and biochemical tests, which require cultivation steps, are possible. The cartridge design in principle is compatible with magnetic and non-magnetic particle types. We investigated both variants and found that the performance of expanded glass beads is superior over the magnetic particles within the cartridge. Owing to the rather large size of the expanded glass beads, the dimensions of the channels can be enlarged, leading to lower hydrodynamic resistances, which is beneficial when processing viscous samples such as sputum. We verified the performance of our system using both artificial and real sputum samples containing Escherichia coli and Moraxella catarrhalis.
Collapse
Affiliation(s)
- Susanne Pahlow
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany.
- InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Stefanie Hentschel
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany.
- InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Peter Horbert
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Cynthia Romero
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany.
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Lydia Lehniger
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany.
- InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Sascha Wagner
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany.
- InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Karina Weber
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Helmholtzweg 4, 07743 Jena, Germany.
- InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz Institute of Photonic Technology - Member of the Research Alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| |
Collapse
|
2
|
Lee D, Kim D, Han J, Yun J, Lee KH, Kim GM, Kwon O, Lee J. Integrated, Automated, Fast PCR System for Point-Of-Care Molecular Diagnosis of Bacterial Infection. SENSORS 2021; 21:s21020377. [PMID: 33430443 PMCID: PMC7827619 DOI: 10.3390/s21020377] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 12/23/2020] [Accepted: 01/03/2021] [Indexed: 12/23/2022]
Abstract
We developed an integrated PCR system that performs automated sample preparation and fast polymerase chain reaction (PCR) for application in point-of care (POC) testing. This system is assembled from inexpensive 3D-printing parts, off-the-shelf electronics and motors. Molecular detection requires a series of procedures including sample preparation, amplification, and fluorescence intensity analysis. The system can perform automated DNA sample preparation (extraction, separation and purification) in ≤5 min. The variance of the automated sample preparation was clearly lower than that achieved using manual DNA extraction. Fast thermal ramp cycles were generated by a customized thermocycler designed to automatically transport samples between heating and cooling blocks. Despite the large sample volume (50 μL), rapid two-step PCR amplification completed 40 cycles in ≤13.8 min. Variations in fluorescence intensity were measured by analyzing fluorescence images. As proof of concept of this system, we demonstrated the rapid DNA detection of pathogenic bacteria. We also compared the sensitivity of this system with that of a commercial device during the automated extraction and fast PCR of Salmonella bacteria.
Collapse
Affiliation(s)
- Dongkyu Lee
- Daegu Research Center for Medical Devices, Korea Institute of Machinery and Materials, Daegu 42994, Korea; (D.L.); (D.K.); (J.H.); (J.Y.); (K.-H.L.)
| | - Deawook Kim
- Daegu Research Center for Medical Devices, Korea Institute of Machinery and Materials, Daegu 42994, Korea; (D.L.); (D.K.); (J.H.); (J.Y.); (K.-H.L.)
- Department of Mechanical Engineering, Kyungpook National University, Daegu 41566, Korea;
| | - Jounghyuk Han
- Daegu Research Center for Medical Devices, Korea Institute of Machinery and Materials, Daegu 42994, Korea; (D.L.); (D.K.); (J.H.); (J.Y.); (K.-H.L.)
- Department of Mechanical Engineering, Kyungpook National University, Daegu 41566, Korea;
| | - Jongsu Yun
- Daegu Research Center for Medical Devices, Korea Institute of Machinery and Materials, Daegu 42994, Korea; (D.L.); (D.K.); (J.H.); (J.Y.); (K.-H.L.)
| | - Kang-Ho Lee
- Daegu Research Center for Medical Devices, Korea Institute of Machinery and Materials, Daegu 42994, Korea; (D.L.); (D.K.); (J.H.); (J.Y.); (K.-H.L.)
| | - Gyu Man Kim
- Department of Mechanical Engineering, Kyungpook National University, Daegu 41566, Korea;
| | - Ohwon Kwon
- Daegu Research Center for Medical Devices, Korea Institute of Machinery and Materials, Daegu 42994, Korea; (D.L.); (D.K.); (J.H.); (J.Y.); (K.-H.L.)
- Correspondence: (O.K.); (J.L.)
| | - Jaejong Lee
- Nano-Mechanical Systems, Korea Institute of Machinery and Materials (KIMM), Daejeon 34103, Korea
- Correspondence: (O.K.); (J.L.)
| |
Collapse
|
4
|
Rajendran VK, Bakthavathsalam P, Bergquist PL, Sunna A. A portable nucleic acid detection system using natural convection combined with a smartphone. Biosens Bioelectron 2019; 134:68-75. [DOI: 10.1016/j.bios.2019.03.050] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 03/23/2019] [Accepted: 03/25/2019] [Indexed: 01/24/2023]
|
5
|
A Sensitive Potentiometric Sensor for Isothermal Amplification-Coupled Detection of Nucleic Acids. SENSORS 2018; 18:s18072277. [PMID: 30011898 PMCID: PMC6068556 DOI: 10.3390/s18072277] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 07/11/2018] [Accepted: 07/12/2018] [Indexed: 12/27/2022]
Abstract
A disposable potentiometric sensor was newly developed for the amplification-coupled detection of nucleic acids. The hydrogen-ion is generally released during isothermal amplification of nucleic acids. The surface potential on the oxide-functionalized electrode of the extended gate was directly measured using full electrical circuits with the commercial metal-oxide semiconductor field-effect transistors (MOSFETs) and ring oscillator components, which resulted in cost-effective, portable and scalable real-time nucleic acid analysis. The current-starved ring oscillator changes surface potential to its frequency depending on the square of the variation in pH with a high signal-to-noise ratio during isothermal amplification. The device achieves a conversion rate of 20.5 kHz/mV and a detection resolution of 200 µV for the surface potential. It is demonstrated that the sensor successfully monitors in real-time isothermal amplification of the extracted nucleic acids from Salmonella pathogenic bacteria. The in situ variations in the frequency of the pH-sensitive sensor were compared with the results of both a conventional optical device and pH-meter during isothermal amplification.
Collapse
|
6
|
Park JM, Kim JI, Noh JY, Kim M, Kang MJ, Pyun JC. A highly sensitive carbapenemase assay using laser desorption/ionization mass spectrometry based on a parylene-matrix chip. Enzyme Microb Technol 2017. [DOI: 10.1016/j.enzmictec.2017.05.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|