scholarly journals Cell-free biology using remote-controlled digital microfluidics for individual droplet control

RSC Advances ◽  
2020 ◽  
Vol 10 (45) ◽  
pp. 26972-26981 ◽  
Author(s):  
Dong Liu ◽  
Zhenghuan Yang ◽  
Luyang Zhang ◽  
Minglun Wei ◽  
Yuan Lu

Cell-free biology using remote-controlled digital microfluidics for programmed biological screening and synthesis.

Micromachines ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1065
Author(s):  
Nicholas Grant ◽  
Brian Geiss ◽  
Stuart Field ◽  
August Demann ◽  
Thomas W. Chen

Microfluidics offer many advantages to Point of Care (POC) devices through lower reagent use and smaller size. Additionally, POC devices offer the unique potential to conduct tests outside of the laboratory. In particular, Electro-wetting on Dielectric (EWOD) microfluidics has been shown to be an effective way to move and mix liquids enabling many PoC devices. However, much of the research surrounding these microfluidic systems are focused on a single aspect of the system capability, such as droplet control or a specific new application at the device level using the EWOD technology. Often in these experiments the supporting systems required for operation are bench top equipment such as function generators, power supplies, and personal computers. Although various aspects of how an EWOD device is capable of moving and mixing droplets have been demonstrated at various levels, a complete self-contained and portable lab-on-a-chip system based on the EWOD technology has not been well demonstrated. For instance, EWOD systems tend to use high voltage alternating current (AC) signals to actuate electrodes, but little consideration is given to circuitry size or power consumption of such components to make the entire system portable. This paper demonstrates the feasibility of integrating all supporting hardware and software to correctly operate an EWOD device in a completely self-contained and battery-powered handheld unit. We present results that demonstrate a complete sample preparation flow for deoxyribonucleic acid (DNA) extraction and isolation. The device was designed to be a field deployable, hand-held platform capable of performing many other sample preparation tasks automatically. Liquids are transported using EWOD and controlled via a programmable microprocessor. The programmable nature of the device allows it to be configured for a variety of tests for different applications. Many considerations were given towards power consumption, size, and system complexity which make it ideal for use in a mobile environment. The results presented in this paper show a promising step forward to the portable capability of microfluidic devices based on the EWOD technology.


2020 ◽  
Vol 27 ◽  
Author(s):  
Yi Zhang

: Point-of-care (POC) testing decentralizes the diagnostic tests to the sites near the patient. Many POC tests rely microfluidic platforms for sample-to-answer analysis. Compared to other microfluidic systems, magnetic digital microfluidics demonstrate compelling advantages for POC diagnostics. In this review, we have examined the capability of magnetic digital microfluidics-based POC diagnostic platforms. More importantly, we have categorized POC settings into three classes based on “where is the point”, “who to care” and “how to test”, and evaluated the suitability of magnetic digital microfluidics in various POC settings. Furthermore, we have addressed other technical issues associated with POC testing such as controlled environment, sample-system interface, system integration and information connectivity. We hope this review would provide a guideline for the future development of magnetic digital microfluidics-based platforms for POC testing.


2019 ◽  
Vol 19 (16) ◽  
pp. 1292-1297 ◽  
Author(s):  
Ali Mohd Ganie ◽  
Ayaz Mahmood Dar ◽  
Fairooz Ahmad Khan ◽  
Bashir Ahmad Dar

:Here in we report the number of strategies for the synthesis of differently substituted benzimidazole derivatives. The protocols involved in the syntheses of these derivatives were one-pot or multi-component. The characterization studies of these derivatives were carried by using different spectroscopic techniques (1H NMR, 13C NMR and MS) and elemental analyses. The biological screening studies revealed that these benzimidazole derivatives show potential antibacterial as well as antifungal behavior. These benzimidazole derivatives not only depicted potential antiulcer properties but also showed moderate to good anticancer/cytotoxic behavior against different cancer cell lines.


2021 ◽  
Vol 11 (9) ◽  
pp. 4251
Author(s):  
Jinsong Zhang ◽  
Shuai Zhang ◽  
Jianhua Zhang ◽  
Zhiliang Wang

In the digital microfluidic experiments, the droplet characteristics and flow patterns are generally identified and predicted by the empirical methods, which are difficult to process a large amount of data mining. In addition, due to the existence of inevitable human invention, the inconsistent judgment standards make the comparison between different experiments cumbersome and almost impossible. In this paper, we tried to use machine learning to build algorithms that could automatically identify, judge, and predict flow patterns and droplet characteristics, so that the empirical judgment was transferred to be an intelligent process. The difference on the usual machine learning algorithms, a generalized variable system was introduced to describe the different geometry configurations of the digital microfluidics. Specifically, Buckingham’s theorem had been adopted to obtain multiple groups of dimensionless numbers as the input variables of machine learning algorithms. Through the verification of the algorithms, the SVM and BPNN algorithms had classified and predicted the different flow patterns and droplet characteristics (the length and frequency) successfully. By comparing with the primitive parameters system, the dimensionless numbers system was superior in the predictive capability. The traditional dimensionless numbers selected for the machine learning algorithms should have physical meanings strongly rather than mathematical meanings. The machine learning algorithms applying the dimensionless numbers had declined the dimensionality of the system and the amount of computation and not lose the information of primitive parameters.


Lab on a Chip ◽  
2021 ◽  
Author(s):  
Chin Hong Ooi ◽  
Raja Vadivelu ◽  
Jing Jin ◽  
Sreejith Kamalalayam Rajan ◽  
Pradip Singha ◽  
...  

Liquid marbles are droplets with volume typically on the order of microliters coated with hydrophobic powder. The versatility, ease of use and low cost make liquid marbles an attractive platform...


2021 ◽  
Vol 332 ◽  
pp. 115844
Author(s):  
Seraj Omar Alzahrani ◽  
Ahmed M. Abu-Dief ◽  
Kholood Alkhamis ◽  
Fatmah Alkhatib ◽  
Tarek El-Dabea ◽  
...  

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