Robotic Automation of HPLC Laboratories

2022 ◽  
pp. 185-210
Author(s):  
Robin A. Felder
Keyword(s):  

1991 ◽  
Vol 31 (2) ◽  
pp. 239-243 ◽  
Author(s):  
Susan M. Carr
Keyword(s):  


1987 ◽  
pp. 89-96
Author(s):  
J. B. Cross ◽  
R. D. Jones


2020 ◽  
Vol 3 (1) ◽  
pp. 141-150
Author(s):  
İsmail Atalay ◽  
Oğuz Alper İsen ◽  
Emin Cantez ◽  
Serkan Aydın ◽  
Onur Akyel

Robotic automation systems includes higher production rates and increased productivity, more efficient use of materials, better product quality, improved safety, and reduced factory lead times. Higher output and increased productivity have been two of the biggest reasons in justifying the use of automation. Despite the claims of high quality from good workmanship by humans, automated systems typically perform the manufacturing process with less variability than human workers, resulting in greater control and consistency of product quality. Also, increased process control makes more efficient use of materials, resulting in less scrap. Despite all these advantages, the final product control is still carried out by workers. In this study, it is planned to prevent quality problems with a video processing that integrates with the robotic automation line in order to solve the final quality problem. This system, which controls the movements of the worker in the predetermined motion routes with the signals coming from the line. It aims to ensure that the products going to the customer are completely error free.



2012 ◽  
pp. 30-50 ◽  
Author(s):  
Jian S. Dai

This chapter is to summarise research in the direction of domestic service robots particularly with reference to robotic implementation of ironing process. The chapter presents the garment handling and ironing from a procedural point of view and discusses the devices for handling. The handling is categorised into several steps with common handling operations, resulting in categorisation of gripping and handling devices with potential applications to domestic automation. Based on this, ironing paths are explored with an orientation-position representation. This is followed by the introduction of development of folding and unfolding and by the region segregation based garment folding. This involves path analysis, folding algorithms, and mechanisms review for ironing. The paths produced from the ironing process are presented with mathematical models to be possibly implemented in robotic automation and their orientation is presented, dependent on the regions of garment. The orientation analysis is useful in finding the similarity in motion to determine the effective and efficient way of ironing a garment with orientation region diagrams and workspace presentation.



Agronomy ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 743
Author(s):  
Athanasios T. Balafoutis ◽  
Frits K. Van Evert ◽  
Spyros Fountas

Farming faces challenges that increase the adverse effects on farms’ economics, labor, and the environment. Smart farming technologies (SFTs) are expected to assist in reverting this situation. In this work, 1064 SFTs were derived from scientific papers, research projects, and industrial products. They were classified by technology readiness level (TRL), typology, and field operation, and they were assessed for their economic, environmental, and labor impact, as well as their adoption readiness from end-users. It was shown that scientific articles dealt with SFTs of lower TRL than research projects. In scientific articles, researchers investigated mostly recording technologies, while, in research projects, they focused primarily on farm management information systems and robotic/automation systems. Scouting technologies were the main SFT type in scientific papers and research projects, but variable rate application technologies were mostly located in commercial products. In scientific papers, there was limited analysis of economic, environmental, and labor impact of the SFTs under investigation, while, in research projects, these impacts were studied thoroughly. Further, in commercial SFTs, the focus was on economic impact and less on labor and environmental issues. With respect to adoption readiness, it was found that all of the factors to facilitate SFT adoption became more positive moving from SFTs in scientific papers to fully functional commercial SFTs, indicating that SFTs reach the market when most of these factors are addressed for the benefit of the farmers. This SFT analysis is expected to inform researchers on adapting their research, as well as help policy-makers adjust their strategy toward digitized agriculture adoption and farmers with the current situation and future trends of SFTs.



1992 ◽  
Vol 38 (8) ◽  
pp. 1440-1443 ◽  
Author(s):  
J W Holman ◽  
R A Felder

Abstract Cyclosporin A (CsA) is currently the most selective immunosuppressant used clinically to prevent organ rejection after transplantation. We used a reprogrammable robot, the Benchmate (Zymark Inc., Hopkinton, MA), to automate much of the sample preparation involved in solid-phase extraction of CsA. Lysed whole-blood specimens containing previously added internal standard were placed on the Benchmate in the specimen-holding area, and a C18 Bond-Elut column was placed in the top of the sample tube. Specimen extraction from this point was handled automatically by the Benchmate, after which we manually injected the sample into the HPLC system for quantification. Analytical recovery of CsA in two concentrations of calibrator was similar for the manual and Benchmate methods. Analytical imprecision for the Benchmate was less than for manual extraction: within-run imprecision (CV) was less than 8% at either concentration. Between-run imprecision, determined by having the Benchmate extract CsA from two specimens each day for 20 days, was less than 9%. Patients' specimens were extracted manually (x) or by using the Benchmate robot (y); the results, compared by linear regression, agreed well: (y = 0.99 (SD 0.02)x + 2.6 (SD 2.8) micrograms/L (Sy[x = 7.59 micrograms/L, n = 27). We conclude that the Benchmate usefully reduces the manual steps necessary to extract specimens before HPLC analysis for CsA.



BMJ ◽  
2018 ◽  
pp. k4854 ◽  
Author(s):  
David Oliver


2001 ◽  
Author(s):  
Paul S. Schenker ◽  
Terrance L. Huntsberger ◽  
Paolo Pirjanian ◽  
Eric T. Baumgartner ◽  
Hrand Aghazarian ◽  
...  


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