Fluorescent Molecular Sensing for Various Types of Surfactants Using Amino-β-cyclodextrins Bearing Naphthalene Chromophore

2006 ◽  
Vol 35 (10) ◽  
pp. 1168-1169 ◽  
Author(s):  
Hironori Nakashima ◽  
Noboru Yoshida
Polymers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1351 ◽  
Author(s):  
Chao-Yi Yao ◽  
Seiichi Uchiyama ◽  
A. Prasanna de Silva

Our experiences concerning fluorescent molecular sensing and logic devices and their intersections with polymer science are the foci of this brief review. Proton-, metal ion- and polarity-responsive cases of these devices are placed in polymeric micro- or nano-environments, some of which involve phase separation. This leads to mapping of chemical species on the nanoscale. These devices also take advantage of thermal properties of some polymers in water in order to reincarnate themselves as thermometers. When the phase separation leads to particles, the latter can be labelled with identification tags based on molecular logic. Such particles also give rise to reusable sensors, although molecular-scale resolution is sacrificed in the process. Polymeric nano-environments also help to organize rather complex molecular logic systems from their simple components. Overall, our little experiences suggest that researchers in sensing and logic would benefit if they assimilate polymer concepts.


2002 ◽  
Vol 18 (6) ◽  
pp. 711-713 ◽  
Author(s):  
Miyuki NARITA ◽  
Naranchimeg DORJPALAM ◽  
Katsunori TERANISHI ◽  
Fumio HAMADA

2000 ◽  
Vol 16 (8) ◽  
pp. 865-869 ◽  
Author(s):  
Miyuki NARITA ◽  
Satoshi MIMA ◽  
Nobuaki OGAWA ◽  
Fumio HAMADA

Author(s):  
Luigi Fabbrizzi ◽  
Maurizio Licchelli ◽  
Angelo Perotti ◽  
Antonio Poggi ◽  
Giuliano Rabaioli ◽  
...  

ChemInform ◽  
2005 ◽  
Vol 36 (46) ◽  
Author(s):  
Naranchimeg Dorjpalam ◽  
Masaya Toda ◽  
Hideaki Itoh ◽  
Fumio Hamada

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 507
Author(s):  
Luca Seravalli ◽  
Claudio Ferrari ◽  
Matteo Bosi

In this paper, we model the electrical properties of germanium nanowires with a particular focus on physical mechanisms of electrical molecular sensing. We use the Tibercad software to solve the drift-diffusion equations in 3D and we validate the model against experimental data, considering a p-doped nanowire with surface traps. We simulate three different types of interactions: (1) Passivation of surface traps; (2) Additional surface charges; (3) Charge transfer from molecules to nanowires. By analyzing simulated I–V characteristics, we observe that: (i) the largest change in current occurs with negative charges on the surfaces; (ii) charge transfer provides relevant current changes only for very high values of additional doping; (iii) for certain values of additional n-doping ambipolar currents could be obtained. The results of these simulations highlight the complexity of the molecular sensing mechanism in nanowires, that depends not only on the NW parameters but also on the properties of the molecules. We expect that these findings will be valuable to extend the knowledge of molecular sensing by germanium nanowires, a fundamental step to develop novel sensors based on these nanostructures.


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