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Figure 4 – Mass spectrum of [M-H]– ions of the derivatives of proline.


user-friendly GUI provided by SAMI Workstation EX software, without having prior experience with robotic systems.


References 1. Fleischer, H.; Drews, R.R. et al. JALA 2016; http://jla.sagepub.com/


content/early/2016/03/19/2211068216637352.abstract 2. Chu, X.; Fleischer, H. et al. IEEE I2MTC 2015, 500–4.


Figure 3 – Integration of the robotic system with SAMI software. 1) The C# program interacts with the software by sending/receiving data in XML format. When a SAMI program is executed, it sends commands to the C# program, which can be used to command the robot to open/close labware, transport labware or pipet liquids. Once a command is received, the C# program parses it to abstract its name and parameters. The name and parameters of the commands are used to select related robot jobs from the database, which will be then integrated. 2) The C# program is integrated with the robot based on Yaskawa MOTOCOM32 software. Through the software’s application programming interfaces, the C# pro- gram can monitor the status of the robot, transfer files to the robot and so on. When a command is executed successfully or an error occurs, the C# program relays the message to the SAMI program.


procedure. The samples prepared on 96-well multiple-well plates were fed to the autosampler for injection into the mass spectrometer.


Determining enantiomeric excess of proline Samples were prepared by the robot and then analyzed on an Agilent LC/ MS system (Agilent Technologies, Palo Alto, Calif.) comprising a G1379B vacuum degasser, G1312B binary pump, G1367C high-performance automated liquid sampler and G1969A time-of-flight mass spectrom- eter (TOF-MS) with electrospray ionization (ESI). Data acquisition and processing were performed using MassHunter Data Acquisition and MassHunter Qualification software (Agilent Technologies). Figure 4 shows a mass spectrum with the characteristic masses m/z = 394.13 and 408.14 of the detected [M-H]– ions of the two derivatives of a sample. The ratio of the characteristic m/z values of the derivatives was used to determine enantiomeric excess.


Summary The CSDA10F dual-arm robot effectively automates sample preparation


for the life science laboratory. Operators can design processes with the AMERICAN LABORATORY 45


3. Chu, X.; Fleischer, H. et al. IEEE CASE 2015, 979–84. 4. www.beckmancoulter.com/wsrportal/WSR/research-and-discovery/ index.htm


5. Fleischer, H. and Thurow, K. Am. Lab. 2011, 43(9), 32–6. 6. Fleischer, H. and Thurow, K. Amino Acids 2013, 44(3), 1039–51.


Additional reading 1. South, S.F.; Casina, T.S., et al. Transfusion 2012, 52(8), 81S–87S.


2. Drotning, W.; Wapman W. et al. ASCE 1996, 241–7. 3. Puccinelli, J.P.; Su X. et al. JALA 2010, 15(1), 25–32. 4. Kong, F.; Yuan, L. et al. JALA 2012, 17(3), 169–85. 5. Bogue, R. Ind. Robot. 2012, 39(2), 113–9. 6. Moore, K.W.; Newman, R. et al. JALA 2007, 12(2), 115–23. 7. Smith, C.; Karayiannidis, Y. et al. Robot. Auton. Syst. 2012, 60(10), 1340– 53.


8. Ott, C. and Eiberger, O. et al. IEEE RAS 2006, 276–83. 9. Zanchettin, A.M.; Bascetta, L. et al. Appl. Ergon. 2013, 44(6), 982–9. 10. Kock, S.; Vittor, T. et al. IEEE ISAM 2011, 1–5.


Xianghua Chu, Thomas Roddelkopf, Ph.D., and Kerstin Thurow, Ph.D., are with the Center for Life Science Automation (celisca), University of Rostock, Fried- rich-Barnewitz Str. 8, D-18119 Rostock, Germany; tel.: +49 381 498 7803; fax: +49 381 498 7802; e-mail: Xianghua.Chu@celisca.de; www.celisca.de. Heidi Fleischer, Ph.D., and Norbert Stoll, Ph.D., are with the Institute of Automa- tion (IAT), University of Rostock. Michael Klos, Ph.D., is with Yaskawa Europe GmbH, Allershausen, Germany. The authors wish to thank Lars Woinar, Heiko Engelhardt and Steffen Junginger (Institute of Automation [IAT], University of Rostock) for their technical support and suggestions.


MAY 2016


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