Monitoring pH and solvent proticity with donor–acceptor-substituted biphenyls: a new approach towards highly sensitive and powerful fluorescent probes by tuning the molecular structure

2000 ◽  
Vol 24 (9) ◽  
pp. 677-686 ◽  
Author(s):  
Michael Maus ◽  
Knut Rurack
Keyword(s):  
Molecular Structure ◽  
Fluorescent Probes ◽  
New Approach ◽  
Highly Sensitive ◽  
Donor Acceptor

Two donor–acceptor (D–A) type Zn(ii) complexes as fluorescent probes for highly selective detection of iodide

CrystEngComm ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 2103-2109
Author(s):  
Hao Su ◽  
Liang Hao ◽  
Wajid Hussain ◽  
Zhongkui Li ◽  
Hui Li
Keyword(s):  
Fluorescent Probes ◽  
Selective Detection ◽  
Donor Acceptor

Two noval donor-acceptor (D–A) type Zn(ii) complexes ([Zn2(L1)2(MeCN)(MeOH)]·(MeCN) (1) and [ZnL2(H2O)] (2)) were obtained and selectively detected iodide as fluorescent probes.

scholarly journals Development of FRET-based indicators for visualizing homophilic trans interaction of a clustered protocadherin

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Takashi Kanadome ◽  
Natsumi Hoshino ◽  
Takeharu Nagai ◽  
Tomoki Matsuda ◽  
Takeshi Yagi
Keyword(s):  
Fluorescent Proteins ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Direct Visualization ◽  
Binding Properties ◽  
New Approach ◽  
Self Recognition ◽  
Highly Sensitive ◽  
Donor And Acceptor ◽  
Clustered Protocadherins

AbstractClustered protocadherins (Pcdhs), which are cell adhesion molecules, play a fundamental role in self-recognition and non-self-discrimination by conferring diversity on the cell surface. Although systematic cell-based aggregation assays provide information regarding the binding properties of Pcdhs, direct visualization of Pcdh trans interactions across cells remains challenging. Here, we present Förster resonance energy transfer (FRET)-based indicators for directly visualizing Pcdh trans interactions. We developed the indicators by individually inserting FRET donor and acceptor fluorescent proteins (FPs) into the ectodomain of Pcdh molecules. They enabled successful visualization of specific trans interactions of Pcdh and revealed that the Pcdh trans interaction is highly sensitive to changes in extracellular Ca2+ levels. We expect that FRET-based indicators for visualizing Pcdh trans interactions will provide a new approach for investigating the roles of Pcdh in self-recognition and non-self-discrimination processes.

scholarly journals Bifunctional fluorescent probes for detection of amyloid aggregates and reactive oxygen species

2018 ◽  
Vol 5 (2) ◽  
pp. 171399 ◽  
Author(s):  
Lisa-Maria Needham ◽  
Judith Weber ◽  
James W. B. Fyfe ◽  
Omaru M. Kabia ◽  
Dung T. Do ◽  
...  
Keyword(s):  
Fluorescent Probes ◽  
Neurodegenerative Disorders ◽  
Oxygen Species ◽  
Fluorescence Measurements ◽  
Amyloid Aggregate ◽  
Amyloid Deposits ◽  
Amyloid Aggregates ◽  
Highly Sensitive ◽  
Key Features ◽  
And Oxidative Stress

Protein aggregation into amyloid deposits and oxidative stress are key features of many neurodegenerative disorders including Parkinson's and Alzheimer's disease. We report here the creation of four highly sensitive bifunctional fluorescent probes, capable of H 2 O 2 and/or amyloid aggregate detection. These bifunctional sensors use a benzothiazole core for amyloid localization and boronic ester oxidation to specifically detect H 2 O 2 . We characterized the optical properties of these probes using both bulk fluorescence measurements and single-aggregate fluorescence imaging, and quantify changes in their fluorescence properties upon addition of amyloid aggregates of α-synuclein and pathophysiological H 2 O 2 concentrations. Our results indicate these new probes will be useful to detect and monitor neurodegenerative disease.

Robust Fault Detection Based on Nonlinear Analytic Redundancy Techniques With Applications to Robotics

2005 ◽  
Author(s):  
Bibhrajit Halder ◽  
Nilanjan Sarkar
Keyword(s):  
Fault Detection ◽  
Design Method ◽  
Actuator Fault ◽  
Actuator Faults ◽  
Sensor Fault ◽  
New Approach ◽  
Model Plant ◽  
Robust Fault Detection ◽  
Highly Sensitive ◽  
Process Disturbances

A new approach to sensor and actuator fault detection in the presence of model uncertainty and disturbances, and its application to a wheeled mobile robot (WMR) are presented in this paper. Robust fault detection is important because of the universal existence of model uncertainties and process disturbances in most systems. This paper proposes a new approach, called robust nonlinear analytic redundancy (RNLAR) technique, to sensor and actuator fault detection for input-affine nonlinear multivariable dynamic systems in the presence of model-plant-mismatch and process disturbance. The proposed RNLAR can be used to design primary residual vectors (PRV) for nonlinear systems to detect sensor fault that are completely insensitive to both the model-plant-mismatch and process disturbance. It is shown that the PRV for actuator fault cannot be made completely insensitive to these factors. In order to overcome this problem, a nonlinear PRV design method to detect actuator faults is proposed where the PRVs are highly sensitive to the actuator faults and less sensitive to model-plant-mismatch and process disturbance. The proposed robust fault detection methodology is applied to a WMR and the simulation results are presented to demonstrate the effectiveness of this new approach.

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