Precise micro flow rate measurements by a laser Doppler velocity profile sensor with time division multiplexing

König, Jörg; Voigt, Andreas; Büttner, Lars; Czarske, Jürgen

doi:10.1088/0957-0233/21/7/074005

Cited by 33 publications

(18 citation statements)

References 11 publications

(19 reference statements)

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“…The flow is considered as laminar because the Reynolds number in micro channels is below the critical value (2320) even at a velocity of 200 mm/s. This has been proven with a Laser Doppler Profile Sensor (LDV-PS) measurement done at TU Dresden [8]. A series of 2,500 image pairs have been captured and analysed.…”

Section: Discussionmentioning

confidence: 99%

Automated Micro-PIV measurement in Lab-on-a-Chip systems

Busek

Polk

Albrecht

et al. 2012

Biomedical Engineering / Biomedizinische Technik

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Flow rate and wall shear stress are important parameters for perfused cell culture systems and should be monitored. An easy and non-invasive method is the particle image velocimetry (PIV). In this work PIV was used to characterize a cell culture system with included peristaltic pump. The time-dependent flow profile was measured on several points of the chip for different pumping speeds to figure out which forces are applied to dissolved and adherent cells. The results can be used to improve the developed pump in respect to its layout, the excitation and the position within the chip.

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Section: Discussionmentioning

confidence: 99%

Automated Micro-PIV measurement in Lab-on-a-Chip systems

Busek

Polk

Albrecht

et al. 2012

Biomedical Engineering / Biomedizinische Technik

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“…The primary microfluidic-integrable flow sensors are micro electromechanical systems (MEMS)-based sensors with high-resolution sensing performance. However, the MEMS flow sensors have the constraint in complexity of fabrication processes and the drawback of contact-based measurement 23 , 24 . Other types of integrable flow sensors are thermal anemometers 25 , optical devices 26 , and electrical admittance sensors 27 .…”

Section: Introductionmentioning

confidence: 99%

Noncontact and Nonintrusive Microwave-Microfluidic Flow Sensor for Energy and Biomedical Engineering

Zarifi

Saberi

Hejazi

et al. 2018

Sci Rep

152

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A novel flow sensor is presented to measure the flow rate within microchannels in a real-time, noncontact and nonintrusive manner. The microfluidic device is made of a fluidic microchannel sealed with a thin polymer layer interfacing the fluidics and microwave electronics. Deformation of the thin circular membrane alters the permittivity and conductivity over the sensitive zone of the microwave resonator device and enables high-resolution detection of flow rate in microfluidic channels using noncontact microwave as a standalone system. The flow sensor has the linear response in the range of 0-150 µl/min for the optimal sensor performance. The highest sensitivity is detected to be 0.5 µl/min for the membrane with the diameter of 3 mm and the thickness of 100 µm. The sensor is reproducible with the error of 0.1% for the flow rate of 10 µl/min. Furthermore, the sensor functioned very stable for 20 hrs performance within the cell culture incubator in 37 °C and 5% CO 2 environment for detecting the flow rate of the culture medium. This sensor does not need any contact with the liquid and is highly compatible with several applications in energy and biomedical engineering, and particularly for microfluidic-based lab-on-chips, micro-bioreactors and organ-on-chips platforms.Microfluidic techniques have been extensively used for efficient manipulation of fluid flow in microscale for biomedical research and analytical chemistry. The control of flow in microfluidic networks is crucial for cell sorting, cell collection, flow mixing, cell adhesion and culture, droplet manipulation and flow driving 1 . Moreover, the flow rate needs to be accurately quantified to determine the concentration of cells 2 , and production of hollow microspheres . A slight change in flow rate may lead to a size variation in the products. To precisely handle fluids at the microscale, the real-time detection of flow rate in microfluidic environment is essential and urgently needed though challenging.Organ-on-a-chip (OOC) technology, in particular, aims to build biomimetic in vitro physiological micro-organs to compliment animal models in biological systems and benefit the pharmaceutical industry for drug discovery 7,8 . Many groups including ours have developed OOC platforms made of microbioreactors and integrated sensors for long-term and real-time monitoring the microenvironment, screening the status of miniaturized organs, and characterizing the response of micro-tissues to drugs [9][10][11][12][13] . The real-time measurement of heat transfer 14 , differential pressure 15 , pH and oxygen 11 and biomarkers 10 are central to biomimetic performance of OOC systems. Miniaturized biosensors provide favorable features like low-cost reagents consumption, decreased processing time, reduced sample volume, laminar flow to cells, parallel detection for multiple samples as well as portability 12,13,16 . However, the OOC systems still need on-chip integrated flow sensors compatible with their fabrication processes and functions 17. The OOC platforms require the...

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“…Moreover, the flowmetry sensor in microfluidic chips is also of direct interest in biomedical and medical applications, e.g., assessment of burn depth, skin cancer diagnostics and extracorporeal blood flow monitoring [4][5][6]. Hence, numerous velocimetry technologies have been proposed in a microfluidic context [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Optical Feedback Interferometry Based Microfluidic Sensing: Impact of Multi-Parameters on Doppler Spectral Properties

et al. 2019

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As a compact and simple sensing technique, optical feedback interferometry (OFI) can be a promising flowmetry method in various microfluidic applications. In this paper, OFI-based flowmetry sensor performance in a microscale flow scheme is studied theoretically and experimentally. An innovating model and different numerical methods are investigated, where the scattering light angle distribution is involved to predict the Doppler frequency distribution. For the first time, our model describes the influences of multiple OFI sensor system characteristics, such as flowing particle size, concentration, channel interface reflectivity and channel dimension, on the OFI signal spectral performances. In particular, a significant OFI signal level enhancement was achieved by deposing a high reflectivity gold layer on the rear channel interface due to the increased forward scattered light reflection. The consistent experimental validation associated with the simulations verifies this numerical simulation method’s reliability. The numerical methods presented here provide a new tool to design novel microfluidic reactors and sensors.

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Precise micro flow rate measurements by a laser Doppler velocity profile sensor with time division multiplexing

Cited by 33 publications

References 11 publications

Automated Micro-PIV measurement in Lab-on-a-Chip systems

Automated Micro-PIV measurement in Lab-on-a-Chip systems

Noncontact and Nonintrusive Microwave-Microfluidic Flow Sensor for Energy and Biomedical Engineering

Optical Feedback Interferometry Based Microfluidic Sensing: Impact of Multi-Parameters on Doppler Spectral Properties

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