Micro Electromechanical Systems (MEMS) Based Microfluidic Devices for Biomedical Applications

Ashraf, M.; Tayyaba, Shahzadi; Afzulpurkar, Nitin

doi:10.3390/ijms12063648

Cited by 216 publications

(129 citation statements)

References 216 publications

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“…Repeated experiments using similar chips (microfluidic chips with electrodes used for sensing) showed electrode failure to be the largest root cause of system failure in these types of devices followed by blockage and leakage. This is consistent with various other studies available in literature [16] [17] [18] [19].…”

Section: Overviewsupporting

confidence: 94%

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

Khan

Al-Gayem

Richardson

2017

IEEE Trans. Device Mater. Relib.

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Abstract--Micro-electro-mechanical Systems and microfluidics are becoming popular solutions for sensing, diagnostics and control applications. Reliability and validation of function is of increasing importance in the majority of these applications. Online testing strategies for these devices have the potential to provide real-time condition monitoring information. It is shown that this information can be used to diagnose and prognose the health of the device. This information can also be used to provide an early failure warning system by predicting the remaining useful life. Diagnostic and prognostic outcomes can also be leveraged to improve the reliability, dependability and availability of these devices. This work has delivered a methodology for a "lightweight" prognostics solution for a microfluidic device based on real-time diagnostics. An oscillation based test methodology is used to extract diagnostic information that is processed using a Linear Discriminant Analysis based classifier. This enables the identification of current health based on pre-defined health levels. As the deteriorating device is periodically classified, the rate at which the device degrades is used to predict the devices remaining useful life. I. INTRODUCTIONA novel implementation of a prognostics function for a microfluidic device based on MEMS technology is presented. The term "prognostics" has been defined in various different ways depending on context [1], this research considers the definition given by ISO13381-1 as the most comprehensive. It states that prognostics is not only the prediction of the time to failure but also the risk of one or more existing or future failure modes [2].Studies have revealed some excellent Prognostic and Health Management (PHM) solutions that provide deep and detailed prognostic capabilities for micro-devices with a high level of accuracy. The use of machine learning [3] and physics based prognostics [4] is being actively explored. PHM solutions similar to these are designed from the ground up in a device specific framework with the prognostics modules being tightly coupled with the physics of failure of the device. While these PHM systems perform very well in conjunction with their target devices, flexibility and wide scale adoption in other MEMS devices is quite challenging.The onus of most PHM frameworks is to provide prognosis at the highest possible confidence level thus providing the most reliable Remaining Useful Life (RUL) predictions [5] [6] [7]. However, this comes at a cost, be it a heavy processing requirement or the aforementioned rigidity or complexity, to name two. This work proposes a "Housekeeping" Prognostics and Health Management (HPHM) framework that has a conservative prognostic mandate. Such a framework caters strictly for wear during normal use and evolving faults. This affords the usage of simpler models that are easy to adapt, implement and use.The scope of this HPHM is to predict patterns of low intensity failures and drift due to gradual aging and noncatastrophic faults du...

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Section: Overviewsupporting

confidence: 94%

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

Khan

Al-Gayem

Richardson

2017

IEEE Trans. Device Mater. Relib.

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“…A great number of principles and techniques is used to build microactuators [6][7][8] . They include piezoelectric 9,10 , electrostatic 11,12 , thermal [13][14][15] , electrokinetic 16,17 and many other actuation principles.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical membrane microactuator with a millisecond response time

Uvarov

Lokhanin

Постников

et al. 2018

Sensors and Actuators B: Chemical

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Lack of fast and strong actuators to drive microsystems is well recognized. Electrochemical actuators are considered attractive for many applications but they have long response time (minutes) due to slow gas termination. Here an electrochemical actuator is presented for which the response time can be as short as 1ms. The alternating polarity water electrolysis is used to drive the device. In this process only nanobubbles are formed. The gas in nanobubbles can be terminated fast due to surface assisted reaction between hydrogen and oxygen that happens at room temperature. The working chamber of the actuator contains concentric titanium electrodes; it has a diameter of 500 µm and a height of 8 µm. The chamber is sealed by a polydimethylsiloxane (PDMS) membrane of 30µm thick. The device is characterized by an interferometer and a fast camera. Cyclic operation at frequency up to 667 Hz with a stroke of about 30% of the chamber volume is demonstrated. The cycles repeat themselves with high precision providing the volume strokes in picoliter range. Controlled explosions in the chamber can push the membrane up to 90 µm.

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“…Injection time is determined by the time of pump operation and depends on the volume needed and the speed of injection. This time is approximately two seconds (with total chamber volume 200 mm 3 and effective volume of biological fluid less than 100 mm 3 ). After the assay and data conversion the chamber should be rinsed and prepared for the next assay cycle.…”

Section: Micropump Developmentmentioning

confidence: 99%

“…A review of worldwide literature on micropumps developed for biologic and medical use [Ashraf M., 2011], demonstrated that the most promising and actively investigated area is the development of mechanical piezoelectric pumps.…”

Section: Microcapsule Transducers (Micropumps)mentioning

confidence: 99%

Development of a Biosensor for the Prediction and Early Detection of Cardiovascular Diseases Based on Saliva Composition Analysis

Stupin¹,

Vladimirovna²,

Valerievich³

et al. 2015

Biosci., Biotech. Res. Asia

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The aim of the study was the development of a biosensor for prediction and early detection of diseases, including myocardial infarction, based on the analysis of human saliva composition with implanted biosensor devices. For the implementation of the stated objective a device enabling real-time detection of small concentrations of proteins in specific liquid mediums was developed. An evaluation of biosensor sensitivity was performed experimentally with cardiac marker -C-reactive protein, which demonstrates an increase of concentration in all non-specific inflammatory reactions, including myocardial infarction and other acute cardiovascular accidents. A receptor layer was developed based on monoclonal antibodies, enabling specific binding of C-reactive protein, generating lateral strain in the layer. The feasibility of C-reactive protein detection in fluid flow using microcantilever sensors was demonstrated. To allow the possibility of sensor device implantation into oral cavity for continuous monitoring and early detection of diseases based on human saliva composition, a concept and prototype of microcapsule transducer was developed. The transducer constitutes a microaspirator pump with the feature of operator chamber rinsing, which provides circulation of biological fluid samples in the implanted device.

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Micro Electromechanical Systems (MEMS) Based Microfluidic Devices for Biomedical Applications

Cited by 216 publications

References 216 publications

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

A Housekeeping Prognostic Health Management Framework for Microfluidic Systems

Electrochemical membrane microactuator with a millisecond response time

Development of a Biosensor for the Prediction and Early Detection of Cardiovascular Diseases Based on Saliva Composition Analysis

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