Employing fluorescence analysis for real-time determination of the volume displacement of a pneumatically driven diaphragm micropump

Author(s):  
Hannah Bott ◽  
Ronny Leonhardt ◽  
Franz Laermer ◽  
Jochen Hoffmann
2009 ◽  
Vol 25 (3) ◽  
pp. 122-127 ◽  
Author(s):  
Dirk Ertel ◽  
Tobias Pflederer ◽  
Stephan Achenbach ◽  
Willi A. Kalender

2002 ◽  
Vol 81 (15) ◽  
pp. 2863-2865 ◽  
Author(s):  
S. Martini ◽  
A. A. Quivy ◽  
E. C. F. da Silva ◽  
J. R. Leite

2021 ◽  
pp. 338991
Author(s):  
Haochen Qi ◽  
Xiaofan Huang ◽  
Jayne Wu ◽  
Jian Zhang ◽  
Fei Wang ◽  
...  

Polymers ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1275 ◽  
Author(s):  
Kun Shang ◽  
Siyu Song ◽  
Yaping Cheng ◽  
Lili Guo ◽  
Yuxin Pei ◽  
...  

A novel approach for preparing carbohydrate chips based on polydopamine (PDA) surface to study carbohydrate–lectin interactions by quartz crystal microbalance (QCM) biosensor instrument has been developed. The amino-carbohydrates were immobilized on PDA-coated quartz crystals via Schiff base reaction and/or Michael addition reaction. The resulting carbohydrate-chips were applied to QCM biosensor instrument with flow-through system for real-time detection of lectin–carbohydrate interactions. A series of plant lectins, including wheat germ agglutinin (WGA), concanavalin A (Con A), Ulex europaeus agglutinin I (UEA-I), soybean agglutinin (SBA), and peanut agglutinin (PNA), were evaluated for the binding to different kinds of carbohydrate chips. Clearly, the results show that the predicted lectin selectively binds to the carbohydrates, which demonstrates the applicability of the approach. Furthermore, the kinetics of the interactions between Con A and mannose, WGA and N-Acetylglucosamine were studied, respectively. This study provides an efficient approach to preparing carbohydrate chips based on PDA for the lectin–carbohydrate interactions study.


2012 ◽  
Vol 463-464 ◽  
pp. 1277-1280 ◽  
Author(s):  
Constantin Bucşan ◽  
Mihai Avram

This paper presents a method for increasing the speed and the positioning accuracy of the positioning systems with mechanical position feedback. The method consists in using a position transducer for real time determination of the position of the load and correcting this position using an adequate algorithm. It is preferable not to modify the construction of the positioning unit, allowing the user to decide when to use this correction method according to the practical application. An interesting solution to this problem is to use an external space-position finding sensing system, as presented in the paper.


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