Journal of Self Assembly and Molecular Electronics https://journal.riverpublishers.com/index.php/jsame <div class="JL3"> <div class="journalboxline"> <p><strong>Aims:</strong><br /><br />Self-Assembly and Molecular Electronics (SAME) is a multidisciplinary <strong>peer-reviewed open access</strong> journal covering the areas of molecular electronics, self assembly and Nanotechnology, with the aim to develop novel bottom - up approaches for the design and manufacturing of functional devices. SAME encourages original cross-disciplinary full research articles, rapid communications of important new scientific and technological findings and state-of-the-art reviews.<br /><br /><strong>Scope:</strong><br /><br />SAME publishes theoretical and experimental <strong>original research</strong> and review articles, covering the areas of:<br /><br /></p> <ul class="botL"> <li class="show">Molecular Electronics and Molecular Devices with a particular emphasis on DNA, peptide and protein based systems</li> <li class="show">Self Assembly in Nanosience, Chemistry, Biology, synthetic Biology and Medicine</li> <li class="show">Supramolecular Chemistry</li> <li class="show">Modelling of Structural and Electronical Properties of Organic Molecules and Self Assembled Systems</li> <li class="show">Atomic Force Microscopy and other scanning probe techniques</li> <li class="show">Spectroscopic studies of nanostructures on surfaces and in solution including femtosecond and terahertz spectroscopy studies</li> <li class="show">Studies of electron transfer including electrochemical approaches</li> <li class="show">Applications of nanostructures in bio-sensing and plasmonics</li> </ul> <br /> <p>SAME also features a <strong>Method Section</strong>, devoted to in-depth description of the novel and standard methods in the field. Contributions to this section follow the usual journal submission guidelines and formats. Additionally, video tutorials and computer code are particularly encouraged to be included as supplements to the submissions to this section.</p> <p> </p> <br /><br /> <p>This is an <strong>Open Access</strong> journal, and conform our Open Access policy authors will be charged an Article Processing Charge of EUR 500 after their article is submitted and reviewed, and if it is accepted. All Open Access articles are published and distributed under the Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0). <br /><br />Authors may apply for a waiver on the Article Processing Charge, for this please contact <a href="mailto:info@riverpublishers.com">info@riverpublishers.com</a></p> </div> </div> <p> </p> River Publishers en-US Journal of Self Assembly and Molecular Electronics 2245-4551 Electrospinning with Droplet Generators: A Method for Continuous Electrospinning of Emulsion Fibers https://journal.riverpublishers.com/index.php/jsame/article/view/269 <p>Emulsion electrospinning is a promising method for creating fibrous vehicles for delivery of drugs and bioactive compounds for the medical and food industries. Droplet microfluidics is a potent way of continuously generating controllable emulsion droplets. The incorporation of a droplet generator in an electrospinning setup for continuous electrospinning of emulsion fibers has been investigated. The influence of a droplet generator on the morphology of emulsion fibers has been established through electrospinning of emulsions of grapeseed oil in PVA and gelatine. The droplet generator was found to have no influence on the morphology of fibers. Conventional emulsification methods and droplet generator emulsification has been used to investigate the influence of emulsion droplet sizes on the morphology of emulsion fibers. Increasing the emulsion droplet size was found to create in-fiber droplets with diameters larger than the fiber diameter. The size of the in-fiber droplets was found to be dependent on both material and emulsion size.</p> Bjarke N. Jensen Thor L. V. Pedersen Peter Fojan Copyright (c) 2023 2022-11-03 2022-11-03 1–16 1–16 10.13052/jsame2245-8824.2022.001 DNA by Design: De novo Computational Framework for DNA Sequence Design and Nanotechnology https://journal.riverpublishers.com/index.php/jsame/article/view/270 <p>Chemical analysis of metalized DNA has made it quite clear that traditional models of DNA thermodynamics are insufficient to predict and control self-assembly in the context of orthogonally-paired nucleotides. Recently, there has been an increase in reports of Watson-Crick assembly of DNA wires and nanostructures [<a href="file:///F:/KAJAL%20DA/Article/JSAME/JSMAE_Article-2/art2.html#bib1">1</a>–<a href="file:///F:/KAJAL%20DA/Article/JSAME/JSMAE_Article-2/art2.html#bib4">4</a>]. The ability to add or remove pairing rules between nucleobases toward non-Watson-Crick, or orthogonal, self-assembly alters the fundamental language of DNA assembly: this change in behavior necessitates an accompanying shift in computational design. We begin by exploring the state-of-the-art in DNA modeling, and include both sequence analysis and sequence design practices. We then start from first principles and establish a mathematical basis for heterostructure and ‘nmer’ analysis in connected DNA networks that operates without assumptions about nucleobase parity. A generalized search algorithm is then constructed in Matlab and implemented using evolutionary techniques. We then discuss DNA nanostructure design criteria, operation efficiency in differentially-connected networks, and the application of computationally-aided sequence design for nanotechnological applications. We design a double crossover DNA motif with a silver base pair modification as a test case, and demonstrate successful model implementation. In sum, we present a novel computational framework for geometry-informed optimization of DNA networks. This tool is meant to enable design of both linear and nonlinear polynucleotide assemblies with inherent modularity for base parity, metalation, or more exotic nucleotide substitutions that may arise from advances in synthetic biology, nanomaterials and nanomedicine.</p> Simon Vecchioni Ruojie Sha Nadrian C. Seeman Lynn J. Rothschild Shalom J. Wind Copyright (c) 2023 2022-11-03 2022-11-03 17–76 17–76 10.13052/jsame2245-8824.2022.002