The Experts below are selected from a list of 15495 Experts worldwide ranked by ideXlab platform
Krishnendu Chakrabarty - One of the best experts on this subject based on the ideXlab platform.
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Reconfiguration Techniques for Digital Microfluidic Biochips
2020Co-Authors: Fei Su, Krishnendu ChakrabartyAbstract:As digital microfluidic Biochips become widespread in safety-critical biochemical applications, system dependability emerges as a critical performance parameter. The dynamic reconfigurability inherent in digital microfluidic Biochips can be utilized to bypass faulty cells, thereby supporting defect/fault tolerance. In this paper, we propose three different reconfiguration techniques and the corresponding defect/fault tolerance methodologies for digital microfluidic Biochips. The proposed schemes ensure that the bioassays mapped to a droplet-based microfluidic array can still be executed on a defective Biochip. Real-life biochemical assays, namely multiplexed diagnostics on human physiological fluids, are used to evaluate the proposed reconfiguration techniques.
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Prevention: Tamper-Resistant Pin-Constrained Digital Microfluidic Biochips
Secure and Trustworthy Cyberphysical Microfluidic Biochips, 2020Co-Authors: Jack Tang, Krishnendu Chakrabarty, Mohamed Ibrahim, Ramesh KarriAbstract:The well-worn maxim that an ounce of prevention is worth a pound of cure certainly applies to the design of secure systems; security breaches are difficult to contain due to the speed, scale, and low-cost of information dissemination on the internet. When security breaches result in physical damage, the lost assets may be difficult or impossible to replace, e.g., DNA samples from a crime scene. This chapter develops techniques for the prevention of actuation tampering attacks on a cyberphysical microfluidic Biochip by leveraging the inherent loss of control freedom from pin-constrained digital microfluidic Biochips.
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Micro-Electrode-Dot-Array Digital Microfluidic Biochips: Technology, Design Automation, and Test Techniques
IEEE Transactions on Biomedical Circuits and Systems, 2019Co-Authors: Zhanwei Zhong, Krishnendu Chakrabarty, Zipeng Li, Tsung-yi HoAbstract:Digital microfluidic Biochips (DMFBs) are being increasingly used for DNA sequencing, point-of-care clinical diagnostics, and immunoassays. DMFBs based on a micro-electrode-dot-array (MEDA) architecture have recently been proposed, and fundamental droplet manipulations, e.g., droplet mixing and splitting, have also been experimentally demonstrated on MEDA Biochips. There can be thousands of microelectrodes on a single MEDA Biochip, and the fine-grained control of nanoliter volumes of biochemical samples and reagents is also enabled by this technology. MEDA Biochips offer the benefits of real-time sensitivity, lower cost, easy system integration with CMOS modules, and full automation. This review paper first describes recent design tools for high-level synthesis and optimization of map bioassay protocols on a MEDA Biochip. It then presents recent advances in scheduling of fluidic operations, placement of fluidic modules, droplet-size-aware routing, adaptive error recovery, sample preparation, and various testing techniques. With the help of these tools, Biochip users can concentrate on the development of nanoscale bioassays, leaving details of chip optimization and implementation to software tools.
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efficient and adaptive error recovery in a micro electrode dot array digital microfluidic Biochip
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018Co-Authors: Zipeng Li, Krishnendu Chakrabarty, Po-hsien Yu, John Mccrone, Miroslav Pajic, Tsung-yi HoAbstract:A digital microfluidic Biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. In recent years, DMFBs based on a micro-electrode-dot-array (MEDA) architecture have been proposed. MEDA Biochips can provide advantages of better capability of droplet manipulation and real-time sensing ability. However, errors are likely to occur due to defects, chip degradation, and the lack of precision inherent in biochemical experiments. Therefore, an efficient error-recovery strategy is essential to ensure the correctness of assays executed on MEDA Biochips. By exploiting MEDA-specific advances in droplet sensing, we present a novel error-recovery technique to dynamically reconfigure the Biochip using real-time data provided by on-chip sensors. Local recovery strategies based on probabilistic-timed-automata are presented for various types of errors. An online synthesis technique and a control flow are also proposed to connect local-recovery procedures with global error recovery for the complete bioassay. Moreover, an integer linear programming-based method is also proposed to select the optimal local-recovery time for each operation. Laboratory experiments using a fabricated MEDA chip are used to characterize the outcomes of key droplet operations. The PRISM model checker and three benchmarks are used for an extensive set of simulations. Our results highlight the effectiveness of the proposed error-recovery strategy.
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error recovery in a micro electrode dot array digital microfluidic Biochip
International Conference on Computer Aided Design, 2016Co-Authors: Zipeng Li, Krishnendu Chakrabarty, Po-hsien Yu, Miroslav Pajic, Tsung-yi HoAbstract:A digital microfluidic Biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. However, today's DMFBs suffer from several limitations: (i) constraints on droplet size and the inability to vary droplet volume in a fine-grained manner; (ii) the lack of integrated sensors for real-time detection; (iii) the need for special fabrication processes and the associated reliability/yield concerns. To overcome the above problems, DMFBs based on a micro-electrode-dot-array (MEDA) architecture have been proposed recently, and droplet manipulation on these devices has been experimentally demonstrated. Errors are likely to occur due to defects, chip degradation, and the lack of precision inherent in biochemical experiments. Therefore, an efficient error-recovery strategy is essential to ensure the correctness of assays executed on MEDA Biochips. By exploiting MEDA-specific advances in droplet sensing, we present a novel error-recovery technique to dynamically reconfigure the Biochip using real-time data provided by on-chip sensors. Local recovery strategies based on probabilistic-timed-automata are presented for various types of errors. A control flow is also proposed to connect local recovery procedures with global error recovery for the complete bioassay. Laboratory experiments using a fabricated MEDA chip are used to characterize the outcomes of key droplet operations. The PRISM model checker and three analytical chemistry benchmarks are used for an extensive set of simulations. Our results highlight the effectiveness of the proposed error-recovery strategy.
Tsung-yi Ho - One of the best experts on this subject based on the ideXlab platform.
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Micro-Electrode-Dot-Array Digital Microfluidic Biochips: Technology, Design Automation, and Test Techniques
IEEE Transactions on Biomedical Circuits and Systems, 2019Co-Authors: Zhanwei Zhong, Krishnendu Chakrabarty, Zipeng Li, Tsung-yi HoAbstract:Digital microfluidic Biochips (DMFBs) are being increasingly used for DNA sequencing, point-of-care clinical diagnostics, and immunoassays. DMFBs based on a micro-electrode-dot-array (MEDA) architecture have recently been proposed, and fundamental droplet manipulations, e.g., droplet mixing and splitting, have also been experimentally demonstrated on MEDA Biochips. There can be thousands of microelectrodes on a single MEDA Biochip, and the fine-grained control of nanoliter volumes of biochemical samples and reagents is also enabled by this technology. MEDA Biochips offer the benefits of real-time sensitivity, lower cost, easy system integration with CMOS modules, and full automation. This review paper first describes recent design tools for high-level synthesis and optimization of map bioassay protocols on a MEDA Biochip. It then presents recent advances in scheduling of fluidic operations, placement of fluidic modules, droplet-size-aware routing, adaptive error recovery, sample preparation, and various testing techniques. With the help of these tools, Biochip users can concentrate on the development of nanoscale bioassays, leaving details of chip optimization and implementation to software tools.
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VOM: Flow-Path Validation and Control-Sequence Optimization for Multilayered Continuous-Flow Microfluidic Biochips
2019 IEEE ACM International Conference on Computer-Aided Design (ICCAD), 2019Co-Authors: Mengchu Li, Tsung-yi Ho, Tsun-ming Tseng, Ulf SchlichtmannAbstract:Multilayered valve-based continuous-flow microfluidic Biochips are a rapidly developing platform for delicate bio-applications. Due to the high complexity of the Biochip structure and the application protocols, there is an increasing demand for design automation approaches. Current research has enabled automated generation of Biochip physical designs, operation scheduling, and binding protocols, which has demonstrated the potential for better resource utilization and execution time reduction. However, the state-of-the-art high-level synthesis methods are on operation- and device-level. They assume fluid transportation paths to be always available but overlook the physical layout of the control and flow channels. This mismatch leads to a gap in the complete synthesis flow, and can result in performance drop, waste of resources due to redundancy or even infeasible designs. This work proposes to bridge this gap with a simulation-based approach, which takes a Biochip design and a high-level protocol as inputs, and synthesizes channel-level pressurization protocols to support dynamic construction of valid fluid transportation paths. Experimental results show that the proposed method can efficiently validate and optimize the flow paths for feasible designs and protocols, detect redundant resource usage, and locate the conflicts for infeasible designs and protocols. It opens up a new direction to improve the performance and the feasibility of customized Biochip synthesis.
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Cloud Columba: Accessible Design Automation Platform for Production and Inspiration: Invited Paper
2019 IEEE ACM International Conference on Computer-Aided Design (ICCAD), 2019Co-Authors: Tsun-ming Tseng, Tsung-yi Ho, Mengchu Li, Yushen Zhang, Ulf SchlichtmannAbstract:Design automation for continuous-flow microfluidic large-scale integration (mLSI) Biochips has made remarkable progress over the past few years. Nowadays a Biochip containing up to hundreds of components can be automatically synthesized within a few minutes. However, the current advanced design automation tools are mostly developed for research use, which focus essentially on the algorithmic performance but overlook the accessibility. Therefore, we have started the Cloud Columba project since 2017 to provide users from different backgrounds with easy access to the state-of-the-art design automation approaches. Without being limited by the computing power of their end devices, users just need to formulate their design requests in a high abstraction level, based on which the cloud server will automatically synthesize a customized manufacturing-ready Biochip design, which can be viewed and stored using simply a web browser. With the computer-synthesized designs, Cloud Columba supports application developers to explore a wider range of possibilities, and algorithm developers to validate and improve their ideas based on a practical foundation.
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efficient and adaptive error recovery in a micro electrode dot array digital microfluidic Biochip
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018Co-Authors: Zipeng Li, Krishnendu Chakrabarty, Po-hsien Yu, John Mccrone, Miroslav Pajic, Tsung-yi HoAbstract:A digital microfluidic Biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. In recent years, DMFBs based on a micro-electrode-dot-array (MEDA) architecture have been proposed. MEDA Biochips can provide advantages of better capability of droplet manipulation and real-time sensing ability. However, errors are likely to occur due to defects, chip degradation, and the lack of precision inherent in biochemical experiments. Therefore, an efficient error-recovery strategy is essential to ensure the correctness of assays executed on MEDA Biochips. By exploiting MEDA-specific advances in droplet sensing, we present a novel error-recovery technique to dynamically reconfigure the Biochip using real-time data provided by on-chip sensors. Local recovery strategies based on probabilistic-timed-automata are presented for various types of errors. An online synthesis technique and a control flow are also proposed to connect local-recovery procedures with global error recovery for the complete bioassay. Moreover, an integer linear programming-based method is also proposed to select the optimal local-recovery time for each operation. Laboratory experiments using a fabricated MEDA chip are used to characterize the outcomes of key droplet operations. The PRISM model checker and three benchmarks are used for an extensive set of simulations. Our results highlight the effectiveness of the proposed error-recovery strategy.
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error recovery in a micro electrode dot array digital microfluidic Biochip
International Conference on Computer Aided Design, 2016Co-Authors: Zipeng Li, Krishnendu Chakrabarty, Po-hsien Yu, Miroslav Pajic, Tsung-yi HoAbstract:A digital microfluidic Biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. However, today's DMFBs suffer from several limitations: (i) constraints on droplet size and the inability to vary droplet volume in a fine-grained manner; (ii) the lack of integrated sensors for real-time detection; (iii) the need for special fabrication processes and the associated reliability/yield concerns. To overcome the above problems, DMFBs based on a micro-electrode-dot-array (MEDA) architecture have been proposed recently, and droplet manipulation on these devices has been experimentally demonstrated. Errors are likely to occur due to defects, chip degradation, and the lack of precision inherent in biochemical experiments. Therefore, an efficient error-recovery strategy is essential to ensure the correctness of assays executed on MEDA Biochips. By exploiting MEDA-specific advances in droplet sensing, we present a novel error-recovery technique to dynamically reconfigure the Biochip using real-time data provided by on-chip sensors. Local recovery strategies based on probabilistic-timed-automata are presented for various types of errors. A control flow is also proposed to connect local recovery procedures with global error recovery for the complete bioassay. Laboratory experiments using a fabricated MEDA chip are used to characterize the outcomes of key droplet operations. The PRISM model checker and three analytical chemistry benchmarks are used for an extensive set of simulations. Our results highlight the effectiveness of the proposed error-recovery strategy.
Yang Zhao - One of the best experts on this subject based on the ideXlab platform.
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Cross-contamination avoidance for droplet routing in digital microfluidic Biochips
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2012Co-Authors: Yang Zhao, Krishnendu ChakrabartyAbstract:Recent advances in droplet-based digital microfluidics have enabled Biochip devices for DNA sequencing, immunoassays, clinical chemistry, and protein crystallization. Since cross-contamination between droplets of different biomolecules can lead to erroneous outcomes for bioassays, the avoidance of cross-contamination during droplet routing is a key design challenge for Biochips. We propose a droplet-routing method that avoids cross-contamination in the optimization of droplet flow paths. The proposed approach targets disjoint droplet routes and minimizes the number of cells used for droplet routing. We also minimize the number of wash operations that must be used between successive routing steps that share unit cells in the microfluidic array. Two real-life biochemical applications are used to evaluate the proposed droplet-routing methods.
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Optimization Techniques for the Synchronization of Concurrent Fluidic Operations in Pin-Constrained Digital Microfluidic Biochips
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2012Co-Authors: Yang Zhao, Krishnendu Chakrabarty, Ryan Sturmer, Vamsee K. PamulaAbstract:The implementation of bioassays in pin-constrained digital microfluidic Biochips may involve pin-actuation conflicts if the concurrently-implemented fluidic operations are not carefully synchronized. We propose a two-phase optimization method to identify and synchronize the fluidic operations that can be executed in parallel. The goal is to implement these fluidic operations without pin-actuation conflict, and minimize the duration of implementing the outcome sequence after synchronization. We also extend the synchronization method with the addition of a small number of control pins, in order to further minimize the completion time while avoiding pin-actuation conflicts. The effectiveness of the proposed synchronization method is demonstrated for a representative 3-plex assay performed on a commercial pin-constrained Biochip and for multiplexed in-vitro diagnostics performed on an experimental pin-constrained Biochip.
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Cross-Contamination Avoidance for Droplet Routing in Digital Microfluidic Biochips
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2012Co-Authors: Yang Zhao, Krishnendu ChakrabartyAbstract:Recent advances in digital microfluidics have enabled droplet-based Biochip devices for DNA sequencing, immunoassays, clinical chemistry, and protein crystallization. Since cross-contamination between droplets of different biomolecules can lead to erroneous outcomes for bioassays, the avoidance of cross-contamination during droplet routing is a key design challenge for Biochips. We propose a droplet-routing method that avoids cross-contamination in the optimization of droplet flow paths. The proposed approach targets disjoint droplet routes and synchronizes wash-droplet routing with functional droplet routing, in order to reduce the duration of droplet routing while avoiding the cross-contamination between different droplet routes. In order to avoid cross-contamination between successive routing steps, an optimization technique is used to minimize the number of wash operations that must be used between successive routing steps. Two real-life biochemical applications are used to evaluate the proposed droplet-routing methods.
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Broadcast Electrode-Addressing and Scheduling Methods for Pin-Constrained Digital Microfluidic Biochips
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2011Co-Authors: Yang Zhao, Tao Xu, Krishnendu ChakrabartyAbstract:Recent advances in digital microfluidics have enabled lab-on-a-chip devices for DNA sequencing, immunoassays, clinical chemistry, and protein crystallization. Basic operations such as droplet dispensing, mixing, dilution, localized heating, and incubation can be carried out using a 2-D array of electrodes and nanoliter volumes of liquid. The number of independent input pins used to control the electrodes in such microfluidic “Biochips” is an important cost-driver, especially for disposable printed circuit board devices that are being developed for clinical and point-of-care diagnostics. However, most prior work on Biochip design-automation has assumed independent control of the electrodes using a large number of input pins. We present a broadcast-addressing-based design technique for pin-constrained multifunctional Biochips. The proposed method provides high throughput for bioassays and it reduces the number of control pins by identifying and connecting control pins with “compatible” actuation sequences. We also describe two scheduling methods to map fluidic operations on the pin-constrained design, in order to minimize the completion time while avoiding pin-actuation conflicts. The proposed methods are evaluated using multifunctional chips designed to execute a set of multiplexed bioassays, the polymerase chain reaction, and a protein dilution assay.
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Synchronization of Concurrently-Implemented Fluidic Operations in Pin-Constrained Digital Microfluidic Biochips
2010 23rd International Conference on VLSI Design, 2010Co-Authors: Yang Zhao, Krishnendu Chakrabarty, Ryan Sturmer, Vamsee K. PamulaAbstract:The implementation of bioassays in pin-constrained Biochips may involve pin-actuation conflicts if the concurrently implemented fluidic operations are not carefully synchronized. We propose a two-phase optimization method to identify and synchronize the fluidic operations that can be executed in parallel. The goal is to implement these fluidic operations without pin-actuation conflict, and minimize the duration of implementing the outcome sequence after the synchronization. The effectiveness of the proposed two-phase optimization method is demonstrated for a representative 3-plex assay performed on a fabricated pin-constrained Biochip.
Tao Xu - One of the best experts on this subject based on the ideXlab platform.
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Broadcast Electrode-Addressing and Scheduling Methods for Pin-Constrained Digital Microfluidic Biochips
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2011Co-Authors: Yang Zhao, Tao Xu, Krishnendu ChakrabartyAbstract:Recent advances in digital microfluidics have enabled lab-on-a-chip devices for DNA sequencing, immunoassays, clinical chemistry, and protein crystallization. Basic operations such as droplet dispensing, mixing, dilution, localized heating, and incubation can be carried out using a 2-D array of electrodes and nanoliter volumes of liquid. The number of independent input pins used to control the electrodes in such microfluidic “Biochips” is an important cost-driver, especially for disposable printed circuit board devices that are being developed for clinical and point-of-care diagnostics. However, most prior work on Biochip design-automation has assumed independent control of the electrodes using a large number of input pins. We present a broadcast-addressing-based design technique for pin-constrained multifunctional Biochips. The proposed method provides high throughput for bioassays and it reduces the number of control pins by identifying and connecting control pins with “compatible” actuation sequences. We also describe two scheduling methods to map fluidic operations on the pin-constrained design, in order to minimize the completion time while avoiding pin-actuation conflicts. The proposed methods are evaluated using multifunctional chips designed to execute a set of multiplexed bioassays, the polymerase chain reaction, and a protein dilution assay.
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Broadcast electrode-addressing for pin-constrained multi-functional digital microfluidic Biochips
2008 45th ACM IEEE Design Automation Conference, 2008Co-Authors: Tao Xu, Krishnendu ChakrabartyAbstract:Recent advances in digital microfluidics have enabled lab-on-a-chip devices for DNA sequencing, immunoassays, clinical chemistry, and protein crystallization. Basic operations such as droplet dispensing, mixing, dilution, localized heating, and incubation can be carried out using a two-dimensional array of electrodes and nanoliter volumes of liquid. The number of independent input pins used to control the electrodes in such microfluidic "Biochips" is an important cost-driver, especially for disposable PCB devices that are being developed for clinical and point-of-care diagnostics. However, most prior work on Biochip design-automation has assumed independent control of the electrodes using a large number of input pins. Another limitation of prior work is that the mapping of control pins to electrodes is only applicable for a specific bioassay. We present a broadcast-addressing-based design technique for pin-constrained multi-functional Biochips. The proposed method provides high throughput for bioassays and it reduces the number of control pins by identifying and connecting control pins with "compatible" actuation sequences. The proposed method is evaluated using a multifunctional chip designed to execute a set of multiplexed bioassays, the polymerase chain reaction, and a protein dilution assay.
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A Droplet-Manipulation Method for Achieving High-Throughput in Cross-Referencing-Based Digital Microfluidic Biochips
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2008Co-Authors: Tao Xu, Krishnendu ChakrabartyAbstract:Digital microfluidic Biochips are revolutionizing high-throughput DNA, immunoassays, and clinical diagnostics. As high-throughput bioassays are mapped to digital microfluidic platforms, the need for design automation techniques for pin-constrained Biochips is being increasingly felt. However, most prior work on Biochips computer-aided design has assumed independent control of the underlying electrodes using a large number of (electrical) input pins. We propose a droplet-manipulation method based on a ldquocross-referencingrdquo addressing method that uses ldquorowrdquo and ldquocolumnsrdquo to access electrodes. By mapping the droplet-movement problem on a cross-referenced chip to the clique-partitioning problem from graph theory, the proposed method allows simultaneous movement of a large number of droplets on a microfluidic array. Concurrency is enhanced through the use of an efficient scheduling algorithm that determines the order in which groups of droplets are moved. The proposed design-automation method facilitates high-throughput applications on a pin-constrained Biochip, and it is evaluated using random synthetic benchmarks and a set of multiplexed bioassays.
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A Cross-Referencing-Based Droplet Manipulation Method for High-Throughput and Pin-Constrained Digital Microfluidic Arrays
2007 Design Automation & Test in Europe Conference & Exhibition, 2007Co-Authors: Tao Xu, Krishnendu ChakrabartyAbstract:Digital microfluidic Biochips are revolutionizing high-throughput DNA sequencing, immunoassays, and clinical diagnostics. As high-throughput bioassays are mapped to digital microfluidic platforms, the need for design automation techniques for pin-constrained Biochips is being increasingly felt. However, most prior work on Biochips CAD has assumed independent control of the underlying electrodes using a large number of (electrical) input pins. The authors propose a droplet manipulation method based on a "cross-referencing" addressing method that uses "row" and "columns" to access electrodes. By mapping the droplet movement problem to the clique partitioning problem from graph theory, the proposed method allows simultaneous movement of a large number of droplets on a microfluidic array. This in turn facilitates high-throughput applications on a pin-constrained Biochip. The authors use random synthetic benchmarks and a set of multiplexed bioassays to evaluate the proposed method
Chianlang Hong - One of the best experts on this subject based on the ideXlab platform.
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Enhanced anesthetic propofol Biochips by modifying molecularly imprinted nanocavities of biosensors
Biomedical Microdevices, 2012Co-Authors: Chienchong Hong, Chianlang Hong, Chih-chung Lin, Pohsiang ChangAbstract:This paper presents enhanced performance of anesthetic propofol biosensors by modifying molecularly imprinted nanocavities of biosensors. In this work, the relationship between molecularly imprinted nanocavities and performance of molecularly imprinted polymer (MIP) films is investigated. The morphological control of imprinted nanocavities on molecularly imprinted biosensors is done by adjusting polymer composition and polymerization process. The newly developed MIP biosensors are characterized using our developed microfluidic Biochips and optical microsystems. Experimental results show that the sizes of molecularly imprinted nanocavities were reduced to 10 to 14 nm from 10 to 25 nm. The roughness of the MIP film surface was reduced to 2.5 nm from 6.6 nm. Smaller imprinted nanocavities have better molecular separation performance. The specificity and linearity of the anesthetic biosensors could be enhanced by adjusting morphology of imprinted nanocavities. The linearity and the sensitivity of the microfluidic Biochip with an improved on-chip MIP biosensor have been enhanced from 0.9341 to 49.5 mV/mm^2.ml/μg, respectively, to 0.9782 and 176.9 mV/mm^2.ml/μg. The anesthetic propofol biosensor presented in this study is applicable to numerous fluidic-based disposable Biochips.
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a disposable microfluidic Biochip with on chip molecularly imprinted biosensors for optical detection of anesthetic propofol
Biosensors and Bioelectronics, 2010Co-Authors: Chienchong Hong, Pohsiang Chang, Chianlang HongAbstract:Abstract This paper presents a disposable microfluidic Biochip with on-chip molecularly imprinted biosensors for optical detection of anesthetic propofol. So far, the methods to detect anesthetic propofol in hospitals are liquid chromatography (LC), high-performance liquid chromatography (HPLC), and gas chromatography–mass spectroscopy (GC–MS). These conventional instruments are bulky, expensive, and not ease of access. In this work, a novel plastic microfluidic Biochip with on-chip anesthetic biosensor has been developed and characterized for rapid detection of anesthetic propofol. The template-molecule imprinted polymers were integrated into microfluidic Biochips to be used for detecting anesthetic propofol optically at 655 nm wavelength after the reaction of propofol with color reagent. Experimental results show that the sensitivity of the microfluidic Biochip with on-chip molecularly imprinted polymers (MIPs) biosensor is 6.47 mV/(ppm mm2). The specific binding of MIP to non-imprinted polymer (NIP) is up to 456%. And the detection limit of the microsystem is 0.25 ppm with a linear detection range from 0.25 to 10 ppm. The disposable microfluidic Biochip with on-chip anesthetic biosensor using molecularly imprinted polymers presented in this work showed excellent performance in separation and sensing of anesthetic propofol molecules. While compared to large-scale conventional instruments, the developed microfluidic Biochips with on-chip MIP biosensors have the advantages of compact size, high sensitivity, high selectivity, low cost, and fast response.