Abstract
George Gallatig and John Petrakis Introducing a standardized enterprise-wide solution can lower the total cost of ownership (TCO) for laboratory information management systems (LIMSs). Electronic notebooks (ELNs) can improve the personal productivity of analysts working in research and quality-control laboratories. Data management and data warehouse systems provide ready access to information, and can help reduce search time and duplication of effort by knowledge workers. Providing integrated analytical tool kits and training for scientists can reduce some of the chaos, support costs for research, and provide new opportunities for sharing and building on innovative ideas. We intuitively know that there is value in implementing these laboratory informatics solutions. These solutions help companies in all industries to produce better products with shorter development cycle times and at lower cost. However, business decisions to acquire them have to be based on the review of a business case including a cost justification. This presentation will present ideas and a model for calculating the benefits for laboratory informatics solutions. The model will include rules of thumb based on industry experience for projecting productivity improvements resulting from the introduction of technology to replace functions typically performed manually like data entry, data access, or compilation of reports. However, projections of productivity improvement are only part of the story. These need to be translated into actual benefits that are measurable by the corporation in terms of speed, productivity, or cost. The author will describe strategies for accomplishing this. These will be supported by examples. This will be a valuable presentation for anyone involved in looking at the impact of the introduction of laboratory informatics technology, whether developing a business case or looking at benefits being captured by systems that have been implemented.
Highlights
Agricultural Research Service (ARS), United States Department of Agriculture (USDA), Bldg. 303, Barc-East, 10300 Baltimore Avenue, Beltsville, MD 20705, USA
This paper presents CHNS/O data of wood samples to show repeatability obtained with the system and the calorific values automatically calculated by Eager 300 software
This study demonstrates the proof of concept and successful optimization of magnetic nanoparticles (MNPs) labeled with fluorescent proteins used simultaneously for target concentration and detection
Summary
The Food Safety Laboratory (FSL), ARS, USDA, is one of the leading laboratories for the development of optoelectronic sensing technologies and methodologies, successfully demonstrating several cutting-edge systems for detection and inspection of food quality, safety, sanitation, and security. A brief overview of the FSL approaches for food safety research and development in addition to applications of rapid hyperspectral and multispectral image-based online safety inspection for apples and chicken carcasses is presented. Conventional gradient elution instrumentation and columns are assembled in a system which develops a total peak capacity of about 2000 in 30 minutes; this is equivalent to nearly 1 peak/second. The principal novel finding is that 2DLC produces higher peak capacity and more actual peaks in a real mixture become evident in 2DLC as compared to fully optimized gradient elution 1DLC in as short a time as 10 minutes
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