scholarly journals A Scientific Journey with Ionophore-based Sensors

2020 ◽  
Vol 74 (7) ◽  
pp. 569-576
Author(s):  
Eric Bakker

This article describes selected historical milestones in the field of neutral ionophore-based sensors, starting with the first discovery by Wilhelm Simon and their impact to analytical sciences despite the initial difficulty to understand their function. The reader is then guided through topics in which the author has been involved over the years, from understanding thermodynamic aspects to the field of non-equilibrium potentiometry, polyion sensors, trace level potentiometry, instrumentally controlled ion sensors and finally potentiometry involving local perturbations and transient currents that allow for new readout possibilities. Discussed applications include clinical diagnostics, environmental in situ sensing/profiling and speciation analysis. The article loosely follows the content of the Simon-Widmer Award lecture of the same title presented by the author at the CH Analysis 2019 conference in Beatenberg, Switzerland.

Author(s):  
J. Liu ◽  
K. Xiao ◽  
J.-N. Deng ◽  
A. Zaslavsky ◽  
S. Cristoloveanu ◽  
...  
Keyword(s):  

2018 ◽  
Vol 43 (1) ◽  
pp. 129-143 ◽  
Author(s):  
Jake R. Nelson ◽  
Tony H. Grubesic

Following the Deepwater Horizon oil spill of 2010, a substantial body of research has focused on the development of computational tools and analytical frameworks for modeling oil spill events. Much of this work is dedicated to deepening our understanding of the interactions between oil, fragile ecosystems, and the environment, as well as the impacts of oil on human settlements which are vulnerable to spill events. These advances in oil spill modeling and associated analytics have not only increased the efficiency of spill interdiction and mitigation efforts, they have also helped to nurture proactive, versus reactive, response strategies and plans for local and regional stakeholders. The purpose of this paper is to provide a progress report on the wide range of computational tools, analytical frameworks, and emerging technologies which are necessary inputs for a complete oil spill modeling package. Specifically, we explore the use of relatively mature tools, such as dedicated spill modeling packages, geographic information systems (GIS), and remote sensing, as well emerging technologies such as aerial and aquatic drones and other in-situ sensing technologies. The integration of these technologies and the advantages associated with using a geographic lens for oil spill modeling are discussed.


2021 ◽  
Author(s):  
Adam B. Yasunaga ◽  
Isaac T.S. Li

AbstractRolling adhesion is a unique process in which the adhesion events are short-lived and operate under highly non-equilibrium conditions. These characteristics pose a challenge in molecular force quantification, where in situ measurement of such forces cannot be achieved with most molecular force sensors that probe near equilibrium. In this report, we demonstrated a quantitative adhesion footprint assay combining DNA-based non-equilibrium force probes and modelling to measure the molecular force involved in fast rolling adhesion. We were able to directly profile the ensemble molecular force distribution during rolling adhesion with a dynamic range between 0 – 18 pN. Our results showed that the shear stress driving bead rolling motility directly controls the molecular tension on the probe-conjugated adhesion complex. Furthermore, the shear stress can steer the dissociation bias of components within the molecular force probe complex, favouring either DNA probe dissociation or receptor-ligand dissociation.


Polymers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 3077
Author(s):  
Rima D. Alharthy ◽  
Ahmed Saleh

In this study, we developed a new chemi-resistive, flexible and selective ammonia (NH3) gas sensor. The sensor was prepared by depositing thin film of polyaniline-cobalt ferrite (PAni-CoFe2O4) nanocomposite on flexible polyethylene terephthalate (PET) through an in situ chemical oxidative polymerization method. The prepared PAni-CoFe2O4 nanocomposite and flexible PET-PAni-CoFe2O4 sensor were evaluated for their thermal stability, surface morphology and materials composition. The response to NH3 gas of the developed sensor was examined thoroughly in the range of 1–50 ppm at room temperature. The sensor with 50 wt% CoFe2O4 NPs content showed an optimum selectivity to NH3 molecules, with a 118.3% response towards 50 ppm in 24.3 s response time. Furthermore, the sensor showed good reproducibility, ultra-low detection limit (25 ppb) and excellent flexibility. In addition, the relative humidity effect on the sensor performance was investigated. Consequently, the flexible PET-PAni-CoFe2O4 sensor is a promising candidate for trace-level on-site sensing of NH3 in wearable electronic or portable devices.


2020 ◽  
Vol 167 (9) ◽  
pp. 090526
Author(s):  
Shan Huang ◽  
Xiaoniu Du ◽  
Mark Richter ◽  
Jared Ford ◽  
Gabriel M. Cavalheiro ◽  
...  

2004 ◽  
Vol 45 (3) ◽  
pp. 229-237 ◽  
Author(s):  
V. Zéninari ◽  
A. Vicet ◽  
B. Parvitte ◽  
L. Joly ◽  
G. Durry

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