It is well known that high-speed/high-efficiency separations in nano-flow liquid chromatography (LC) are very sensitive to the quality of the connections between the column and the rest of the instrument. In the present study, two types of connection errors (capillary misalignment and the occurrence of an inter-capillary gap) have been investigated using computational fluid dynamics. Interestingly, it has been found that large degrees of capillary misalignment (assuming an otherwise perfect contact between the capillary end-faces) can be afforded without introducing any significant dispersion over the entire range of investigated relative misalignment errors (0 ≤ ε/ ≤ 75%), even at the largest flow rates considered in nano-LC. On the other hand, when an inter-capillary gap is present, the dispersion very rapidly increases with the radial width of this gap (extra variance ∼ with even reaching values above 4). The dependency on the gap length is however much smaller. Results show that, when ≤ 30 μm and ≤ 200 μm, dispersion losses can be limited to the order of 1 nL at a flow of 1.5 μL/min, which is generally very small compared to the dispersion in the capillaries (20 μm i.d.) themselves. This result also reconfirms that zero-dead volume connectors with a sufficiently narrow bore can in theory be used without compromising peak dispersion in nano-LC, at least when the capillaries can be matched perfectly to the connector in- and outlet faces. The results are also indicative of the extra dispersion occurring inside microfluidic chips or in the connections between a microfluidic chip and the outer world.
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http://dx.doi.org/10.1021/acs.analchem.3c02550 | DOI Listing |
Alzheimers Dement
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December 2024
Medical University of South Carolina, Charleston, SC, USA.
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View Article and Find Full Text PDFAlzheimers Dement
December 2024
ki:elements GmbH, Saarbrücken, Germany.
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View Article and Find Full Text PDFBiomed Eng Lett
January 2025
School of Medical Devices, Shanghai University of Medicine & Health Sciences, Shanghai, 201318 China.
Alzheimer's disease (AD) is a neurodegenerative disorder with an irreversible progression. Currently, it is diagnosed using invasive and costly methods, such as cerebrospinal fluid analysis, neuroimaging, and neuropsychological assessments. Recent studies indicate that certain changes in language ability can predict early cognitive decline, highlighting the potential of speech analysis in AD recognition.
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January 2025
Cardiac Surgery Department, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
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