A microfluidic device for thermal particle detection

Vutha, Ashwin Kumar; Davaji, Benyamin; Lee, Chung Hoon; Walker, Gregg B.

doi:10.1007/s10404-014-1369-z

Cited by 16 publications

(17 citation statements)

References 11 publications

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“…TPD is one of the novel applications of thermal measurements in microfluidic devices 2 . Using heat transfer for detecting and counting particles based on the particle size reduces the complexity, cost, and size of the system.…”

Section: Thermal Particle Detectionmentioning

confidence: 99%

“…Prepare the micro-fabricated silicon device with a thin-film silicon nitride membrane and integrated temperature sensor by micromachining, using standard semiconductor processing technology 2 . Rinse the fabricated device with deionized (DI) water.…”

Section: Thermal Particle Detection (Tpd)mentioning

confidence: 99%

“…Rinse the fabricated device with deionized (DI) water. Note: The fabrication method for thermal particle detector microfluidic device is explained in prior publication 2 . 2.…”

Section: Thermal Particle Detection (Tpd)mentioning

confidence: 99%

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Thermal Measurement Techniques in Analytical Microfluidic Devices

Davaji

Lee

2015

JoVE

Self Cite

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Thermal measurement techniques have been used for many applications such as thermal characterization of materials and chemical reaction detection. Micromachining techniques allow reduction of the thermal mass of fabricated structures and introduce the possibility to perform high sensitivity thermal measurements in the micro-scale and nano-scale devices. Combining thermal measurement techniques with microfluidic devices allows performing different analytical measurements with low sample consumption and reduced measurement time by integrating the miniaturized system on a single chip. The procedures of thermal measurement techniques for particle detection, material characterization, and chemical detection are introduced in this paper. Video LinkThe video component of this article can be found at

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Section: Thermal Particle Detectionmentioning

confidence: 99%

Section: Thermal Particle Detection (Tpd)mentioning

confidence: 99%

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Thermal Measurement Techniques in Analytical Microfluidic Devices

Davaji

Lee

2015

JoVE

Self Cite

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“…Besides that the sensors with different coil shapes were also studied which mainly includes planar coil structure and spiral coil structure [2,9,10] . The second important research direction is that sensors with micro channel structure which outstanding characteristic is that the inner diameter of the channel is often smaller than 1mm [11][12][13][14] but have high sensitivity. Generally this kind of sensor can successfully detect up to 20um ferromagnetic particles and 55um non-ferromagnetic particles, but because of the limitation of its maximum flow rate, it is difficult to meet the requirements of the large flow engineering.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Sensitivity and Detectability of the Three-Coil Wear Debris Detection Sensor Using LC Resonance Method and Modified Lock-in Amplifier

Jia¹,

B²,

Zheng³

et al. 2017

Preprint

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That how to improve the sensitivity and the detection ability of the Large-caliber sensor is critical to satisfy the requirement of heavy vehicle wear condition monitoring. In this paper, we introduced the LC resonance principle to the design of sensor with large flow channel (7mm). The resonant exciting coil increases the impedance change of the exciting circuit caused by wear particles which magnify the current difference between the two exciting coils and improve the sensitivity of the sensor. The resonant induction coil greatly suppresses the interference signals and magnifies the weak induced electromotive force which is beneficial to enhance the detection ability. In order to boost the detectability for different materials particles, a phase controlled variable-frequency exciting system (PCVFES) was adopted to automatically switch the exciting frequency between 284kHz for ferromagnetic particles and 420KHz for non-ferromagnetic particles. For the weak signal detection, based on the essential characteristic of the signal, we apply a simpler method that modified lock-in amplifier (MLIA) rather than the conventional algorithms (Wavelet transform, EMD). Results show that using these methods the sensitivity and the detection ability of the sensor are significantly improved and the 75μm iron particles and 220μm copper particles were successfully detected which realizes the initial abnormal wear monitoring for the large flow project.Key words: wear debris detection; resonance method; sensitivity; phase controlled variable-frequency exciting system (PCVFES); modified lock-in amplifier (MLIA) IntroductionThe wear is the most common fault modality in mechanical equipment and also is one of the major obstacles affecting the normal operation of machinery and equipment. With the development of modern industry, the demands about continuity of production and the reliability of mechanical equipment continue to increase, therefore, that the ability to precisely monitor the wear condition of mechanical equipment and to prevent serious malfunction caused by excessive wear gradually show its significance. The wear debris detection sensor is thus an effective tool for wear condition monitoring [1] and starts to show its great vitality because of the high detection efficiency, veracity and the ability to timely reflect the wear state changing process of equipment.At the present, some research institutions have manufactured various kinds of wear debris detection sensor based on different physical principles mainly including optics (light scattering and diffraction), ultrasonic, electrics (capacitance, resistance and inductance) and image [2] . By comparing these sensors' properties, it is shown that the optical wear particle detection sensor is easily affected by the bubbles in the oil and gives false negative results. And the ultrasonic wear particle detection sensor is easily disturbed by background noise and has lower

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“…In microfluidic systems sensors are mainly used for detecting or counting droplets and micro/nanoparticles. Optical [19], resistive [20,21], capacitive [22], and thermal [23] detection schemes are the most commonly used label-free sensing techniques. Major shortcomings of these techniques are expensive equipment, labor-intensive fabrication procedures due to alignment issues, and slow operation when compared to the operation speed of microfluidic devices.…”

Section: Introductionmentioning

confidence: 99%

Behavior of metamaterial-based microwave components for sensing and heating of nanoliter-scale volumes

Boybay¹

2016

Turk J Elec Eng & Comp Sci

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Abstract:Metamaterial-based microwave components are among the state-of-the-art heater and sensor designs for microfluidic systems. The miniaturization and energy-focusing abilities of the metamaterial-based components make it possible to adopt microwave components operating at wavelengths in the order of 10 cm for microfluidic systems.Microwave systems are particularly advantageous for point-of-care and high-throughput applications due to their high speed of operation, very low instrumentation cost, ability to selectively and internally heat specimens, and ability of label-free sensing. In this study, the efficiency and behavior of microwave components designed for heating and sensing small volumes in the scale of nanoliters are studied. In the heating behavior, an optimum passivation layer thickness that depends on the permittivity of the chip material is observed. Increasing the permittivity of the chip material increases the optimum passivation layer thickness. For a typical microfluidic environment that uses polydimethylsiloxane as the chip material and a lossy substrate, 37.4% of incoming microwave power is converted to heat within a 3-nL droplet. Increasing the permittivity of the chip material increases the heating efficiency. The sensing performance of the component shows that a 3-nL droplet generates a shift of 330 MHz (11.3%) in the resonance frequency. There is an optimum chip material permittivity that maximizes the shift in the resonance frequency. Increasing the passivation layer thickness reduces the sensitivity. Results provide a guideline for microwave heater and sensor designs in microfluidic platforms.

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A microfluidic device for thermal particle detection

Cited by 16 publications

References 11 publications

Thermal Measurement Techniques in Analytical Microfluidic Devices

Thermal Measurement Techniques in Analytical Microfluidic Devices

Improvement of Sensitivity and Detectability of the Three-Coil Wear Debris Detection Sensor Using LC Resonance Method and Modified Lock-in Amplifier

Behavior of metamaterial-based microwave components for sensing and heating of nanoliter-scale volumes

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