Heat Transfer Time Determination Based on DNA Melting Curve Analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F20%3APU132821" target="_blank" >RIV/00216305:26620/20:PU132821 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s10404-019-2308-9" target="_blank" >https://link.springer.com/article/10.1007/s10404-019-2308-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10404-019-2308-9" target="_blank" >10.1007/s10404-019-2308-9</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Heat Transfer Time Determination Based on DNA Melting Curve Analysis
Popis výsledku v původním jazyce
The determination of the physical properties of fluids – such as the thermal characteristics, which include heat transfer time (Δt) – is becoming more challenging as system sizes shrink to micro and nanometer scales. Hence, knowledge of these properties is crucial for the operation of devices requiring precise temperature (T) control, such as polymerase chain reactions, melting curve analysis (MCA), and differential scanning fluorimetry. In this paper, we introduced a flow-through microfluidic system to analyze and compare thermal properties such as Δt among samples and the sidewall of a silicon chip using microscopic image analysis. We performed a spatial MCA with double-stranded deoxynucleic acid (dsDNA) and EvaGreen intercalator, using a flow-through microfluidic chip, and achieved a T gradient of ≈ 2.23 K·mm−1. We calculated the mean value of Δt as ≈ 33.9 ms from a melting temperature (TM) location shift along the microchannel for a variable flow rate. Our system had a T resolution of ≈ 1.2 mK·pixel-1 to distinguish different dsDNA molecules – based on the TM location within the chip – providing an option to use it as a high-throughput device for rapid DNA or protein analysis.
Název v anglickém jazyce
Heat Transfer Time Determination Based on DNA Melting Curve Analysis
Popis výsledku anglicky
The determination of the physical properties of fluids – such as the thermal characteristics, which include heat transfer time (Δt) – is becoming more challenging as system sizes shrink to micro and nanometer scales. Hence, knowledge of these properties is crucial for the operation of devices requiring precise temperature (T) control, such as polymerase chain reactions, melting curve analysis (MCA), and differential scanning fluorimetry. In this paper, we introduced a flow-through microfluidic system to analyze and compare thermal properties such as Δt among samples and the sidewall of a silicon chip using microscopic image analysis. We performed a spatial MCA with double-stranded deoxynucleic acid (dsDNA) and EvaGreen intercalator, using a flow-through microfluidic chip, and achieved a T gradient of ≈ 2.23 K·mm−1. We calculated the mean value of Δt as ≈ 33.9 ms from a melting temperature (TM) location shift along the microchannel for a variable flow rate. Our system had a T resolution of ≈ 1.2 mK·pixel-1 to distinguish different dsDNA molecules – based on the TM location within the chip – providing an option to use it as a high-throughput device for rapid DNA or protein analysis.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
21002 - Nano-processes (applications on nano-scale); (biomaterials to be 2.9)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Microfluidics and Nanofluidics
ISSN
1613-4982
e-ISSN
1613-4990
Svazek periodika
neuveden
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
7
Strana od-do
1-7
Kód UT WoS článku
000502437900001
EID výsledku v databázi Scopus
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