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IEEE Transactions on Nanobioscience

Steven Kinio, James K Mills
This paper presents the design and experimental performance of a microelectrode-based device to selectively lyse cells in a flow in a microfluidic channel. Localized cell lysis is achieved by utilizing "irreversible electroporation", in which cells are exposed to high magnitude electric pulses. Localized cell lysis in a flow has research applications and may allow for removal of harmful cells such as circulating tumor cells from blood. Due to the dependence of this technique on the magnitude of the applied electric field, lethal electric field regions can be localized in the channel by calibration of the applied voltage...
October 17, 2017: IEEE Transactions on Nanobioscience
H Kraiem, F Zouari, R Ben Abderrazek, Y Manon, M El Ayeb, L Fillaudeau, J Bedoui, B Bouhaouala-Zahar
Recombinant human granulocyte colony-stimulating factor (rhG-CSF) has been increasingly recognized from among one of the most abundant families of biosimilars. Upon long-term storage, rhG-CSF is subject to subtle chemical modifications that rapidly occur and, in particular, produce deaminated variants with divergent charge. Indeed, changes in charge from glutamine deamination may alter the way rhG-SCF will refold and the structure of resulting molecule. To assess this charge heterogeneity, 2D gel electrophoresis has limited application...
October 16, 2017: IEEE Transactions on Nanobioscience
Olfa Ghribi, Lamia Sellami, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Keireddine Ben Mahfoudh
Multiple sclerosis is one of the most common neurological diseases in young people. This paper dealt with an automatic biomedical aided tool involving volumetric segmentation of Multiple Sclerosis lesions. To meet this challenge, our proposed methodology requires one preliminary cerebral zones segmentation performed using a new Gaussian Mixture Model based on various databases atlases. Afterwards, lesion segmentation begins with the estimation of a lesion map which is then subjected to threshold constraints and refined by a new lesion expansion algorithm...
October 16, 2017: IEEE Transactions on Nanobioscience
Francis George C Cabarle, Henry N Adorna, Min Jiang, Xiangxiang Zeng
Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological spiking neurons. SN P systems have neurons as spike processors which are placed on the nodes of a directed and static graph (the edges in the graph are the synapses). In this work, we introduce a variant called SN P systems with scheduled synapses (in short, SSN P systems). SSN P systems are inspired and motivated by the structural dynamism of biological synapses, while incorporating ideas from nonstatic (i.e...
October 16, 2017: IEEE Transactions on Nanobioscience
Naveed A Abbasi, Ozgur B Akan
Molecular communication is an important tool to understand biological communications with many promising applications in Internet of Bio-Nano Things (IoBNT). The insulinglucose system is of key significance among the major intrabody nanonetworks since it fulfills metabolic requirements of the body. Study of biological networks from information and communication theoretical (ICT) perspective is necessary for their introduction in the IoBNT framework. Therefore, the objective of this work is to provide and analyze for the first time in literature, a simple molecular communication model of the human insulin-glucose system from ICT perspective...
October 11, 2017: IEEE Transactions on Nanobioscience
Aby K George, Harpreet Singh
Decision-making systems are an integral part of any autonomous device. With the recent developments in bionanorobots, smart drugs, and engineered viruses, there is an immediate need of decision-making systems which are biocompatible in nature. DNA is considered a perfect candidate for designing the computing systems in such decision-making systems because of their bio-compatibility and programmability. Complex biological systems can be easily modeled/controlled using fuzzy logic operations with the help of linguistic rules...
October 9, 2017: IEEE Transactions on Nanobioscience
Santosh Yadav, Smriti R Deka, Kunjlata Tiwari, Ashwani K Sharma, Pradeep Kumar
Self-assembled nanoformulations have been finding various applications in biomedical sciences. Here, we have designed and synthesized a small molecule based amphiphilic conjugate of azobenzene, Azo-PEG-OMe, which self-assembles into nanostructures in an aqueous environment. The formation of nanostructures was evidenced by light scattering and electron microscopic analyses which revealed the size of the so formed nanostructures ~199 and ~42 nm, respectively. Responsiveness of these nanostructures to various stimuli was demonstrated by enzyme and UV-Vis light exposure, pH and chemical reductant, sodium dithionite...
September 29, 2017: IEEE Transactions on Nanobioscience
Hadeel Elayan, Pedram Johari, Raed M Shubair, Josep Miquel Jornet
Wireless communication among implanted nanobiosensors will enable transformative smart health monitoring and diagnosis systems. The state of the art of nano-electronics and nano-photonics points to the Terahertz (THz) band (0.1-10 THz) and the optical frequency bands (infrared, 30-400 THz, and visible, 400-750 THz) as the frequency range for communication among nano-biosensors. Recently, several propagation models have been developed to study and assess the feasibility of intrabody electromagnetic (EM) nanoscale communication...
September 28, 2017: IEEE Transactions on Nanobioscience
Zakaria Elyazghi, Loubna El Yazouli, Khalid Sadki, Fouzia Radouani
Automated DNA sequencers produce chromatogram files in ABI Format. When viewing chromatograms, some ambiguities are shown at various sites along the DNA sequences, because the program implemented in the sequencing machine and used to call bases cannot always precisely determine the right nucleotide, especially when it is represented by either a broad peak or a set of overlaying peaks. In such cases, a letter other than A, C, G, or T is recorded, most commonly N. Thus, DNA sequencing chromatograms needs manual examination: checking for mis-calls and truncate the sequence when errors become too frequent...
September 20, 2017: IEEE Transactions on Nanobioscience
Hamdan Awan, Chun Tung Chou
This paper considers the capacity of a diffusion-based molecular communication link assuming the receiver uses chemical reactions. The key contribution is we show that enzymatic reaction cycles, which is a class of chemical reactions commonly found in cells consisting of a forward and a backward enzymatic reaction, can improve the capacity of the communication link. The technical difficulty in analysing enzymatic reaction cycles is that their reaction rates are nonlinear. We deal with this by assuming that the amount of certain chemicals in the enzymatic reaction cycle is large...
September 18, 2017: IEEE Transactions on Nanobioscience
Nadra Bohli, Hanen Chammem, Olivier Meilhac, Laurence Mora, Adnane Abdelghani
Glycosylated albumin is considered as a potentially accurate indicator of shorter-term average glucose concentration compared to the current standard HbA1c and as such, it's attracting the interest of the scientific community as a possible diagnosis marker for diabetic patients. The purpose of this paper is to achieve a better understanding of the glycation effect of albumin on its electrochemical properties. That is done through the use of Interdigitated gold microelectrodes (IDGE) as support in a label free impedimetric immunosensor for detection of human serum albumin detection in glycated (GA) and non-glycated (HSA) form...
September 14, 2017: IEEE Transactions on Nanobioscience
Jin Liu, Min Li, Yi Pan, Fang-Xiang Wu, Xiaogang Chen, Jianxin Wang
With structural magnetic resonance imaging (MRI) images, conventional methods for the classification of schizophrenia (SCZ) and healthy control (HC) extract cortical thickness independently at different regions of interest (ROIs) without considering the correlation between these regions. In this study we proposed an improved method for the classification of SCZ and HC based on individual hierarchical brain networks constructed from structural MRI images. Our method involves constructing individual hierarchical networks where each node and each edge in these networks represents a ROI and the correlation between a pair of ROIs, respectively...
September 11, 2017: IEEE Transactions on Nanobioscience
B-A Behrens, A Bouguecha, M Lerch, H Windhagen, A Almohallami
We developed a numerical model to describe the bone remodelling process in periprosthetic bone tissues and validated it by means of dual energy X-ray absorptiometry methods (DEXA) with different types of hip implants. In this study we applied the numerical model to investigate the influence of implant size and of the size of the porous coated area on bone remodelling in a periprosthetic human femur in an effort to define properties of implants which would reduce bone remodelling after total hip arthroplasty...
September 11, 2017: IEEE Transactions on Nanobioscience
Xiao-Hu Hao, Gui-Jun Zhang, Xiao-Gen Zhou
Protein structure prediction can be considered as a multimodal optimization problem for sampling the protein conformational space associated with an extremely complex energy landscape. To address this problem, a conformational space sampling method using multi-subpopulation differential evolution, MDE, is proposed. MDE first devotes to generate given numbers of concerned modal under the ultrafast shape recognition based modal identification protocol, which regards each individual as one modal at beginning. Then, differential evolution is used for keeping the preserved modal survival in the evolution process...
September 5, 2017: IEEE Transactions on Nanobioscience
Hongzhi Guo, Josep Miquel Jornet, Qiaoqiang Gan, Zhi Sun
In the last few decades, the development of miniature biological sensors that can detect and measure different phenomena at the nanoscale has led to transformative disease diagnosis and treatment techniques. Among others, biofunctional Raman nanoparticles have been utilized in vitro and in vivo for multiplexed diagnosis and detection of different biological agents. However, existing solutions require the use of bulky lasers to excite the nanoparticles and similarly bulky and expensive spectrometers to measure the scattered Raman signals, which limit the practicality and applications of this nano-biosensing technique...
September 4, 2017: IEEE Transactions on Nanobioscience
Rupesh Singh, Srinivas Rajaraman, Madhusudhanan Balasubramanian
A novel nanoparticle mediated methodology for laser photocoagulation of the inner retina to achieve tissue selective treatment is presented. METHODS: Transport of 527, 577, and 810 nm laser, heat deposition, and eventual thermal damage in vitreous, retina, RPE, choroid, and sclera were modeled using Bouguer-Beer-Lambert law of absorption and solved numerically using the finite volume method. Nanoparticles were designed using Mie theory of scattering. Performance of the new photocoagulation strategy using gold nanospheres and gold-silica nanoshells was compared with that of conventional methods without nanoparticles...
October 2017: IEEE Transactions on Nanobioscience
Azadeh Bashari, Nahid Hemmatinejad, Ali Pourjavadi
This paper deals with obtaining aromatherapic textiles via applying stimuli-responsive poly N-isopropyl acryl amide (PNIPAAm) /chitosan (PNCS) nano hydrogels containing cinnamon oil on cotton fabric and looks into the treated fabric characteristics as an antibacterial and temperature/pH responsive fabric. The semi-batch surfactant-free dispersion polymerization method was proposed to the synthesis of PNCS nano particles. The incorporation of modified β -cyclodextrin ( β -CD) into the PNCS nanohydrogel was performed in order to prepare a hydrophobic(cinnamon oil) carrier embedded in stimuli-responsive nanohydrogel...
September 2017: IEEE Transactions on Nanobioscience
Bilgesu A Bilgin, Ozgur B Akan
In this paper, we analyze molecular communications (MCs) in a proposed artificial synapse (AS), whose main difference from biological synapses (BSs) is that it is closed, i.e., transmitter molecules cannot diffuse out from AS. Such a setup has both advantages and disadvantages. Besides higher structural stability, being closed, AS never runs out of transmitters. Thus, MC in AS is disconnected from outer environment, which is very desirable for possible intra-body applications. On the other hand, clearance of transmitters from AS has to be achieved by transporter molecules on the presynaptic membrane of AS...
September 2017: IEEE Transactions on Nanobioscience
Mayukh Sarkar, Prasun Ghosal, Saraju P Mohanty
Since its inception, DNA computing has advanced to offer an extremely powerful, energy-efficient emerging technology for solving hard computational problems with its inherent massive parallelism and extremely high data density. This would be much more powerful and general purpose when combined with other existing well-known algorithmic solutions that exist for conventional computing architectures using a suitable ALU. Thus, a specifically designed DNA Arithmetic and Logic Unit (ALU) that can address operations suitable for both domains can mitigate the gap between these two...
September 2017: IEEE Transactions on Nanobioscience
Majdi Mansouri, Mohamed N Nounou, Hazem N Nounou
In our previous work, we have demonstrated the effectiveness of the linear multiscale principal component analysis (PCA)-based moving window (MW)-generalized likelihood ratio test (GLRT) technique over the classical PCA and multiscale principal component analysis (MSPCA)-based GLRT methods. The developed fault detection algorithm provided optimal properties by maximizing the detection probability for a particular false alarm rate (FAR) with different values of windows, and however, most real systems are nonlinear, which make the linear PCA method not able to tackle the issue of non-linearity to a great extent...
September 2017: IEEE Transactions on Nanobioscience
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