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IEEE Transactions on Nanobioscience

Francis George C Cabarle, Ren Tristan A de la Cruz, Xingyi Zhang, Min Jiang, Xiangrong Liu, Xiangxiang Zeng
Spiking neural P systems (in short, SNP systems) are parallel and non-deterministic models of computation, inspired by the neural system of the brain. A variant of SNP systems known as SNP systems with structural plasticity (in short, SNPSP systems) includes the feature of adding or removing synapses among neurons. This feature is inspired by plasticity from neuroscience during cognition, learning etc. Despite the reductionist framework of SNP and SNPSP systems, such brain-like systems are capable of computational universality...
November 2, 2018: IEEE Transactions on Nanobioscience
Carlos Marcuello, Lelia Chambel, Mario S Rodrigues, Liliana P Ferreira, Maria Margarida Cruz
Magnetotactic bacteria are a group of organisms deeply studied in the last years due to their interesting magnetic behavior and potential applications in nanometrology, hyperthermia and biosensor devices. One intrinsic common characteristic is the presence, inside the bacteria, of magnetic nanoparticles called magnetosomes. The role of magnetosomes as bacterial tools to orient the bacteria and find new habitats is universally accepted, but the way they develop still is not fully understood. A strain of Magnetospirillum magnetotacticum was grown and investigated at the nanoscale using transmission electron microscopy and atomic/magnetic force microscopy techniques...
October 25, 2018: IEEE Transactions on Nanobioscience
Adam Noel, Dimitrios Makrakis
In this paper, an algorithm is presented to calculate the transition rates between adjacent mesoscopic subvolumes in the presence of flow and diffusion. These rates can be integrated in stochastic simulations of reaction-diffusion systems that follow a mesoscopic approach, i.e., that partition the environment into homogeneous subvolumes and apply the spatial stochastic simulation algorithm (spatial SSA). The rates are derived by integrating Fick's second law over a single subvolume in one dimension (1D), and are also shown to apply in three dimensions (3D)...
October 25, 2018: IEEE Transactions on Nanobioscience
Peter Gawthrop, Edmund J Crampin
The Bond Graph approach and the Chemical Reaction Network approach to modelling biomolecular systems developed independently. This paper brings together the two approaches by providing a bond graph interpretation of the chemical reaction network concept of complexes. Both closed and open systems are discussed. The method is illustrated using a simple enzyme-catalysed reaction and a trans-membrane transporter.
October 16, 2018: IEEE Transactions on Nanobioscience
Martin Golan, Jan Pribyl, Martin Pesl, Sarka Jelinkova, Ivana Acimovic, Josef Jaros, Vladimir Rotrekl, Martin Falk, Ludek Sefc, Petr Skladal, Irena Kratochvilova
Atomic force microscopy (AFM) helps to describe and explain the mechanobiological properties of living cells on the nanoscale level under physiological conditions. The stiffness of cells is an important parameter reflecting cell physiology. Here, we have provided the first study of the stiffness of cryopreserved cells during post-thawing regeneration using atomic force microscopy combined with confocal fluorescence microscopy. We demonstrated that the non frozen cell stiffness decreased proportionally to the cryoprotectant concentration in the medium...
October 11, 2018: IEEE Transactions on Nanobioscience
Majdi Mansouri, Raoudha Baklouti, Mohamed Faouzi Harkat, Mohamed Nounou, Hazem Nounou, Ahmed Ben Hamida
In this paper, we develop an improved fault detection (FD) technique in order to enhance monitoring abilities of nonlinear biological processes. Generalized likelihood ratio test (GLRT) based kernel principal component analysis (KPCA) (called also kernel GLRT) is an effective data driven technique for monitoring nonlinear processes. However, it is well known that data collected from complex and multivariate processes are multiscale due to the variety of changes that could occur in process with different localization in time and frequency...
October 5, 2018: IEEE Transactions on Nanobioscience
Tao Song, Xiangxiang Zeng, Pan Zheng, Min Jiang, Alfonso Rodriguez-Paton
Spiking neural P systems, otherwise known as named SN P systems, are bio-inspired parallel and distributed neural-like computing models. Due to the spiking behavior, SN P systems fall into the category of spiking neural networks, and are considered to be an auspicious candidate of the third generation of neural networks. It has been reported that SN P systems with colored spikes are computationally capable, and perform well in describing behaviors of complex systems. Nonetheless, some practical issue is open to be investigate, such as workflow and traffic flow modelling...
October 1, 2018: IEEE Transactions on Nanobioscience
Mohammad Farhan Khan, Sarah K Spurgeon, Xing-Gang Yan
Eukaryotic initiation factor 2 (eIF2) is a central controller of the eukaryotic translational machinery. To sustain the on-going translation activity, eIF2 cycles between its GTP and GDP bound states. However, in response to cellular stresses, the phosphorylation of eIF2 takes place, which acts as an inhibitor of the guanine nucleotide exchange factor eIF2B and switches the translation activity on physiological timescales. The main objective of this work is to investigate the stability of the regulatory system under nominal conditions, parametric fluctuations and structural damages...
October 1, 2018: IEEE Transactions on Nanobioscience
Xiue Bao, Song Liu, Ilja Ocket, Zhuangzhuang Liu, Dominique M M-P Schreurs, Bart K J C Nauwelaers
The dielectric spectroscopy measurement is an attractive noninvasive method to reveal the intrinsic information of biological materials and cell cultures. However, the presence of a double layer due to electrode polarization (EP) within the lower RF and microwave range significantly affects the accurate analysis of dielectric properties of ionic liquids. In this work, we measure the broadband dielectric spectroscopy of five saline solutions with a microfluidic coplanar waveguide (CPW) transmission line sensor across the frequency range from 40 kHz to 110 GHz...
October 1, 2018: IEEE Transactions on Nanobioscience
Daniel P Martins, Kantinan Leetanasaksakul, Michael Taynnan Barros, Arinthip Thamchaipenet, William Donnelly, Sasitharan Balasubramaniam
Studies have recently shown that the bacteria survivability within biofilms is responsible for the emergence of superbugs. The combat of bacterial infections, without enhancing its resistance to antibiotics, includes the use of nanoparticles to quench the quorum sensing of these biofilm-forming bacteria. Several sequential and parallel multi-stage communication processes are involved in the formation of biofilms. In this paper, we use proteomic data from a wet lab experiment to identify the communication channels that are vital to these processes...
September 19, 2018: IEEE Transactions on Nanobioscience
Laura Grebenstein, Jens Kirchner, Renata Stavracakis Peixoto, Wiebke Zimmermann, Florian Irnstorfer, Wayan Wicke, Arman Ahmadzadeh, Vahid Jamali, Georg Fischer, Robert Weigel, Andreas Burkovski, Robert Schober
Although many exciting applications of molecular communication (MC) systems are envisioned to be at microscale, the MC testbeds reported in the literature so far are mostly at macroscale. This may partially be due to the fact that controlling an MC system at microscale is challenging. To link the macroworld to the microworld, we propose and demonstrate a biological signal conversion interface that can also be seen as a microscale modulator. In particular, the proposed interface transduces an optical signal, which is controlled using a lightemitting diode (LED), into a chemical signal by changing the pH of the environment...
September 18, 2018: IEEE Transactions on Nanobioscience
Lin Lin, Qian Wu, Fuqiang Liu, Hao Yan
Molecular communication (MC) enables conveying information at nano- to micro- scales via molecules or nanoscale particles. MC systems for fixed transmitter and receiver nanomachines have been extensively investigated. However, the scenarios for mobile MC are seldomly studied. In the paper, the mutual information and achievable rate in the presence of inter-symbol interference (ISI) and noise for the mobile MC is investigated. The scenario that both the transmitter and the receiver are in independent random motions is considered...
September 17, 2018: IEEE Transactions on Nanobioscience
Nabiul Islam, Sudip Misra, Md Sadik Hussain
Architecting nanonetwork-based Coronary Heart- Disease (CHD) monitoring requires a set of nanodevice-embedded drug eluting stents (nanoDESs) inserted inside the affected sites of coronary arteries of the heart to cooperatively collect medical information therein, and transmit the information via the nanomacro interface (NM), which is inserted into the intercostal space of the rib cage. These nanonetworks, which operate in the terahertz band (0.1 - 10 Thz), face increased complexity in delivering data of underlying nanonetworks to the NM, due to the limited energy content of nanoDESs...
September 17, 2018: IEEE Transactions on Nanobioscience
Mario A Quiroz-Juarez, Omar Jimenez-Ramirez, Ruben Vazquez-Medina, Elena Ryzhii, Maxim Ryzhii, Jose L Aragon
We present extended heterogeneous oscillator model of cardiac conduction system for generation of realistic 12 lead ECG waveforms. The model consists of main natural pacemakers represented by modified van der Pol equations, and atrial and ventricular muscles, in which the depolarization and repolarization processes are described by modified FitzHugh-Nagumo equations. We incorporate an artificial RR-tachogram with the specific statistics of a heart rate, the frequency-domain characteristics of heart rate variability produced by Mayer and respiratory sinus arrhythmia waves, normally distributed additive noise and a baseline wander that couple the respiratory frequency...
September 17, 2018: IEEE Transactions on Nanobioscience
Hadeel Elayan, Cesare Stefanini, Raed M Shubair, Josep Miquel Jornet
In-vivo Wireless Nanosensor Networks (iWNSNs) are paving the way towards transformative healthcare solutions. These networks are expected to enable a plethora of applications including drug-delivery, bio-sensing, and health monitoring. With the development of miniature plasmonic signal sources, antennas and detectors, wireless communications among intrabody nanodevices will expectedly be enabled in the Terahertz (THz) frequency band (0.1-10 THz). Several propagation models were recently developed to analyze and assess the feasibility of intra-body electromagnetic (EM) nanoscale communication...
September 6, 2018: IEEE Transactions on Nanobioscience
Nanoparticles Zeeshan, K S Daya, Prem Saran Tirumalai, Evangelyn Alocilja
In this paper, we used the distinguishable surface charge and mass of different bacterial strains for label free detection and differentiation of pathogen through impedance and magnetohydrodynamic analysis. For isolation of Escherichia coli and Staphylococcus aureus, functionalized magnetic nanoparticles (MNPs) were used. Proposed method is aimed at minimizing extensive chemical preparation and labour intensive conventional microbiological processing thereby reducing the detection time. Pathogens isolated from broth cultures using MNPs were subjected to impedance rate measurement through an arduino based automated impedance sensor along with differentiation on the basis of Larmor's motion through Magnetohydrodynamic (MHD) approach...
August 13, 2018: IEEE Transactions on Nanobioscience
R Ray, J Basu, W A Gazi, N Samanta, K Bhattacharyya, C Roy Chaudhuri
Recently, graphene nanogrid sensor has been reported to be capable of sub-femtomolar sensing of Hepatitis B (Hep-B) surface antigen in buffer. However, for such low concentration of Hep-B in serum, it has been observed during real time operation, that there is an overlap of around 50% in the drain-source current sensitivity values between different concentrations of the target biomolecule, in the range of 0.1 fM to 100 fM. This has been attributed to the fact that the concentration of non-specific antigen in serum being significantly higher than that of the target antigen, there is a considerable deviation in the number of captured target antigen for the same concentration...
August 6, 2018: IEEE Transactions on Nanobioscience
Prakash Rewatkar, Sanket Goel
The present work establishes a membraneless, co-laminar flow-based approach to develop a cost-effective microfluidic paper-based analytical device for enzymatic biofuel cell (μPAD-EBFC). The developed μPAD-EBFC supporting the self-capillary fluid transport action, consists of Y-shaped paper microchannel with the fuel (glucose) and oxidant (O2) streaming in parallel over carbon nanotube (CNT) based bucky paper (BP) electrodes modified with biocompatible electrocatalytic enzymes such as Glucose oxidase (GOx) and Laccase without any additional redox cofactor...
July 18, 2018: IEEE Transactions on Nanobioscience
Sudabe Jafari, Houshang Alizadeh, Daryoush Davoodi, Parisa Jonoubi, Ahmad Majd, Zahra-Sadat Shobbar, Mojtaba Zamani
The ever-increasing use of silver nanoparticles (nAg) in various products necessitates investigation of the behavior of biological systems encountering these particles. In this study, considering maize as a biological model, the effects of colloidal nAg (<80nm) on its cell culture were investigated. For comparison purposes, silver nitrate was used as a representative of silver ion (Ag+). After stabilization of cell suspensions, they were treated with nAg and Ag+ (1 mg/l), then cell suspension growth was measured and the microscopic analysis and a cell viability test were performed...
July 17, 2018: IEEE Transactions on Nanobioscience
Qianyi Zhan, Sherry Emery, Philip Yu, Chongjun Wang, Yuan Liu
E-cigarettes(vape) are now the most commonly used tobacco product among youth in the United States. Ads are claiming e-cigarettes help smokers quit, but most of them contain nicotine, which can cause addiction and harm the developing adolescent brain. Therefore national, state and local health organizations have proposed anti-vaping campaigns to warn the potential risks of e-cigarettes. However, there is some evidence that these products may reduce harm for adult users who reduce or quit combustible cigarette smoking, and little evidence that e-cigarettes cause long-term harm, pro-vaping advocates have used this equivocal evidence base to oppose the anti-vaping media campaign messaging, generating a very high volume of oppositional messages on social media...
July 12, 2018: IEEE Transactions on Nanobioscience
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