Disposable sensors in diagnostics, food and environmental monitoring

Disposable sensors are low‐cost and easy‐to‐use sensing devices intended for short‐term or rapid single‐point measurements. The growing demand for fast, accessible, and reliable information in a vastly connected world makes disposable sensors increasingly important. The areas of application for such devices are numerous, ranging from pharmaceutical, agricultural, environmental, forensic, and food sciences to wearables and clinical diagnostics, especially in resource‐limited settings. The capabilities of disposable sensors can extend beyond measuring traditional physical quantities (for example, temperature or pressure); they can provide critical chemical and biological information (chemo‐ and biosensors) that can be digitized and made available to users and centralized/decentralized facilities for data storage, remotely. These features could pave the way for new classes of low‐cost systems for health, food, and environmental monitoring that can democratize sensing across the globe. Here, a brief insight into the materials and basics of sensors (methods of transduction, molecular recognition, and amplification) is provided followed by a comprehensive and critical overview of the disposable sensors currently used for medical diagnostics, food, and environmental analysis. Finally, views on how the field of disposable sensing devices will continue its evolution are discussed, including the future trends, challenges, and opportunities

A small gene family of broad bean codes for late nodulins containing conserved cysteine clusters

Fruhling M, Albus U, Hohnjec N, Geise G, Pühler A, Perlick AM. A small gene family of broad bean codes for late nodulins containing conserved cysteine clusters. PLANT SCIENCE. 2000;152(1):67-77.Five transcripts encoding different members of a nodulin family with conserved cysteine clusters (Cys-X-4-Asp-Cys and Cys-X-4-Cys) were identified in broad bean root nodules. They displayed homologies to the early nodulins PsENOD3 and PsENOD14 and the late nodulin PsNOD6 from pea. In addition to the occurence of putative secretory signal peptides, the spatial distribution of the cysteine residues was comparable in both the broad bean and the pea nodulins. Based on tissue print hybridizations, we found that the corresponding broad bean genes VfNOD-CCP1, VfNOD-CCP3 and VfNOD-CCP5 were expressed in the interzone II-III and the nitrogen fixing zone III of mature nodules whereas the gene VfNOD-CCP4 was first induced in the prefixing zone II. A strong expression of the VfNOD-CCP2 gene only could be detected the interzone II-III region. Sequence analysis of a genomic VfNOD-CCP1 clone isolated revealed the presence of one intron seperating a first exon encoding the signal peptide from a second exon encoding the cysteine cluster domain of this nodulin. Apart from the multiple presence of the common nodulin motifs AAAGAT and CTCTT on both DNA strands of the putative VfNOD-CCP1 promoter region a sequence element resembling the organ specific element of the soybean lbc3 gene promoter was identified. (C) 2000 Published by Elsevier Science Ireland Ltd. All rights reserved

Waves, bumps, and patterns in neural field theories

Neural field models of firing rate activity have had a major impact in helping to develop an understanding of the dynamics seen in brain slice preparations. These models typically take the form of integro-differential equations. Their non-local nature has led to the development of a set of analytical and numerical tools for the study of waves, bumps and patterns, based around natural extensions of those used for local differential equation models. In this paper we present a review of such techniques and show how recent advances have opened the way for future studies of neural fields in both one and two dimensions that can incorporate realistic forms of axo-dendritic interactions and the slow intrinsic currents that underlie bursting behaviour in single neurons