In numerical analysis of 3D micro floudic device

In 2017 Angela Babetski Holton et alldesign a specific microfloudics  trappingdevices for real time monitoring of cancer cell1.            In2017 Mario Rothbauer et. al have studied recent advanced technology for making 2D or 3D of cancer cell theirinteraction  and they also developedadvanced micro devices to intrigrate multiple organs for human body2.In 2017 Uday K. Veeramallu   explore that the MetaCellTM separators have the potential to serve asvery effective adjunctive aids for the selection and monitoring of ovariancancer patients for treatment with targeted therapies3.

In 2017 Paridhi Puri,Vijay Kumar, M. Ananthasubramanian et al Design, simulation and fabrication of MEMS baseddielectrophoretic separator for bio-particles 4.In 2017, Muhamad R.

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Buyong; Farhad Larki; YuzuruTakamura; Burhanuddin Yeop Majlispresents explore the fabrication, characterization,and simulation of microelectrode arrays system with tapered profile having analuminum surface for dielectrophoresis (DEP)-based manipulation of particles. 5.In 2016 Bahareh Haddadi, Morteza Fathipour perform the numerical analysis of 3D micro floudic device model of cell separator having different densities byusing Standing Surface Acoustic Waves6 . In 2016, Aissa Foughalia, S. Noorjannah Ibrahim explore separation efficiency of the microfluidic device in continuous flowbased on results of a 3D model simulation conducted in COMSOL Multiphysics. Theproposed device enables label-free cell separation and thus, it can be a usefulmicrofluidic component for lab-on-a-chip system and integrated biological andbiomedical applications 7.In 2016Lee et al explores current DACS capabilities worldwide, and it also looks atrecent developments intended to overcome particular limitations. First, thebasic theories are reviewed 8.

In 2016, A Heidariperform the Comparative Study on Simultaneous Determination and Separation ofAdsorbed Cadmium Oxide (CdO) Nanoparticles on DNA/RNA of Human Cancer CellsUsing Biospectroscopic Techniques and Dielectrophoresis (DEP) Method 9.In 2016, Mehdi Sahmani , MousaVatanmakanian , Mehdi et al established that the  several characteristics of a microchip canunder shadow its overall functions which are include: the physics of the chipand its dimensions; material used in its synthesis; types of pumps, channelsand valves; chip manufacturing technology; the type, quantity, quality andsample processing, reliability, standardization, precision and the sensitivityof chip for sampling, analysis and final recording of the results 10.In 2015, Peng Lia , Zhangming Maoa ,Zhangli Peng et al validated the capability of this device by successfullyseparating low concentrations (?100cells/mL) of a variety of cancer cells from cell culture lines from WBCs with arecovery rate better than 83%11.In 2015 , LongPang,  Shaofei Shen,  Chao Ma et al design a micro floudicdevices for cancer cell separation based on size 12.In  2015 ,Liu, Yeonju Lee , Joon hee Jang et al developed one microfloudics devices usedfor  Microfluidic cytometric  analysis of cancer cell transportability andinvasiveness 13.In 2015, Ryan M.

Williams and Letha J  describes theSelection of MREs using differential cell SELEX represents a powerful method ofdifferentiating between cell types. This process requires no prior knowledge ofcell surface molecule expression and takes advantage of differential expressionprofiles. Peptide and antibody fragment libraries, the host on which thelibrary is displayed, and the selection method each have advantages andsituations in which they are useful. As more MREs are being developed, it iscertain that their uses and clinical investigation will continue to expand14.

In 2015, A. C. S. Talari, C. A.

Evans et al showed thatRaman spectra of the cell lines have revealed that basic differences in theconcentration of biochemical compounds such as lipids, nucleic acids andprotein Raman peaks were found to differ in intensity, and principal componentanalysis (PCA) was able to identify variations that lead to accurate andreliable separation of the three cell lines. Linear discriminant analysis (LDA)model of three cell lines was predicted with 100% sensitivity and 91%specificity. We have shown that a combination of Raman spectroscopy andchemometrics are capable of differentiation between breast cancer cell lines.These variations may be useful in identifying new spectral markers todifferentiate different subtypes of breast cancer although this needsconfirmation in a larger panel of cell lines as well as clinical material 15.

In 2014 Nedhi at el explores the currentapplication of MEMS in cell reorganization and their DNA analysis 16.In 2014 , Su S, Liu Q, Chen J et al  showed that mesenchymal-like breast cancer cells activate macrophages to aTAM-like phenotype by GM-CSF. Reciprocally, CCL18 from TAMs induces cancer cellEMT, forming a positive feedback loop, in coculture systems and humanized mice.

Inhibition of GM-CSF or CCL18 breaks this loop and reduces cancer metastasis 17.In 2014 EnsiehFarahani Hirak K. Patra Jaganmohan R.Jangamreddy et al drawcomparison between reprogramming and carcinogenesis, as well as between stemcells (SCs) and cancer stem cells (CSCs), focusing on changing garniture ofadhesion molecules. They also  elaborateon the role of adhesion molecules in the regulation of (cancer) SCs division(symmetric or asymmetric), and in evolving interactions between CSCs and extracellularmatrix 18.

In  2014, Adeeti V. Ullal, Vanessa Peterson  et  al. describes that Cancer cell profiling by bar coding allowsmultiplexed protein analysis in fine needle aspirates 19.In 2014 Shailender Singh Kanwar,Christopher James Dunlay et al.

design and implementation of on chip microfloudic devices for isolation, quantification and characterization ofcirculating exosomes for cancer cell 20.

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