scholarly journals Fragment Screening Using Surface Plasmon Resonance Optical Biosensor Technology

2010 ◽  
Vol 130 (3) ◽  
pp. 341-348 ◽  
Author(s):  
Takaaki MIURA
Harmful Algae ◽  
2014 ◽  
Vol 32 ◽  
pp. 40-48 ◽  
Author(s):  
Gary R. McCoy ◽  
Sara McNamee ◽  
Katrina Campbell ◽  
Christopher T. Elliott ◽  
Gerard T.A. Fleming ◽  
...  

Optik ◽  
2016 ◽  
Vol 127 (19) ◽  
pp. 7642-7647 ◽  
Author(s):  
Ayushi Paliwal ◽  
Ravinder Gaur ◽  
Anjali Sharma ◽  
Monika Tomar ◽  
Vinay Gupta

2013 ◽  
Vol 66 (12) ◽  
pp. 1507 ◽  
Author(s):  
Olan Dolezal ◽  
Larissa Doughty ◽  
Meghan K. Hattarki ◽  
Vincent J. Fazio ◽  
Tom T. Caradoc-Davies ◽  
...  

The SAMPL (Statistical Assessment of the Modelling of Proteins and Ligands) challenge brought together experimentalists and modellers in an effort to improve our understanding of chemical and biochemical systems so better modelling tools can be developed. The most recent challenge, SAMPL3, held at Stanford University in August 2011, was an attempt to improve the methods used to predict how small fragment compounds bind to proteins, and the protein chosen for this test was bovine trypsin. Surface plasmon resonance was used to screen 500 compounds from a Maybridge fragment library and these compounds were subsequently used to soak crystals of trypsin and the best hits were also characterised by isothermal titration calorimetry. We present methods used for the surface plasmon resonance and the isothermal titration calorimetry experiments, as well as the results for these methods and those compounds that were found in the crystal structures.


2005 ◽  
Vol 876 ◽  
Author(s):  
Chanda Yonzon ◽  
Richard P. Van Duyne

AbstractThis work encompasses a comparative analysis of the properties of two optical biosensor platforms: (1) the propagating surface plasmon resonance (SPR) sensor based on a planar, thin film gold surface and (2) the localized surface plasmon resonance (LSPR) sensor based on surface confined Ag nanoparticles fabricated by nanosphere lithography. The binding of Concanavalin A (ConA) to mannose-functionalized self-assembled monolayers (SAMs) is chosen to illustrate the similarities and the differences of these sensors. A comprehensive set of non-specific binding studies demonstrate that the single transduction mechanism is due to the specific binding of ConA to the mannose-functionalized surface. Finally, an elementary (2x1) multiplexed version of a LSPR carbohydrate sensing chip to probe the simultaneous binding of ConA to mannose and galactose-functionalized SAMs is also demonstrated.


Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3443
Author(s):  
Laura Pasquardini ◽  
Nunzio Cennamo ◽  
Giuseppe Malleo ◽  
Lia Vanzetti ◽  
Luigi Zeni ◽  
...  

Postoperative pancreatic fistula (POPF), the major driver of morbidity and mortality following pancreatectomy, is caused by an abnormal communication between the pancreatic ductal epithelium and another epithelial surface containing pancreas-derived, enzyme-rich fluid. There is a strong correlation between the amylase content in surgically-placed drains early in the postoperative course and the development of POPF. A simple and cheap method to determine the amylase content from the drain effluent has been eagerly advocated. Here, we developed an amylase optical biosensor, based on a surface plasmon resonance (SPR) plastic optical fiber (POF), metallized with a 60 nm layer of gold and interrogated with white light. The sensor was made specific by coupling it with an anti-amylase antibody. Each surface derivatization step was optimized and studied by XPS, contact angle, and fluorescence. The POF-biosensor was tested for its response to amylase in diluted drain effluents. The volume of sample required was 50 µL and the measurement time was 8 min. The POF-biosensor showed selectivity for amylase, a calibration curve log-linear in the range of 0.8–25.8 U/L and a limit of detection (LOD) of ~0.5 U/L. In preliminary tests, the POF-biosensor allowed for the measurement of the amylase content of diluted surgically-placed drain effluents with an accuracy of >92% with respect to the gold standard. The POF-biosensor allows for reliable measurement and could be implemented to allow for a rapid bedside assessment of amylase value in drains following pancreatectomy.


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