CC LAB: AUTOMATION

    Cards (20)

    • Definition of Terms:
      • Automation: The process where an analytical instrument performs many tests with minimal involvement of an analyst
      • Batch analysis: Type of analysis where many specimens are grouped in the same analytical session
      • Carry-over: The transport of analyte or reagent from one specimen reaction into and contaminating a subsequent one
      • Continuous-flow analysis: Type of analysis where each specimen in a batch passes through the same continuous stream at the same rate
      • Discrete analysis: Type of analysis where the sample is aspirated into the sample probe and then delivered into a reaction cup
      • Dwell time: Minimum time from initial sampling to the production of a result
      • Multiple-channel analysis: Type of analysis where each specimen is subjected to multiple analytical processes
      • Parallel analysis: Type of analysis where all specimens are subjected to a series of analytical processes at the same time
      • Random-access analysis: Configuration of an automated analyzer where analyses are performed on a collection of specimens sequentially
      • Sequential analysis: Type of analysis where each specimen in a batch enters the analytical process one after another
      • Single-channel analysis: Type of analysis where each specimen is subjected to a single process
      • Throughput: The number of specimens processed by an analyzer during a given period of time
      • Workstation: A clinical laboratory workstation dedicated to a defined task
    • Automation:
      • Enables laboratories to process larger workloads without comparable increases in staff
      • Used for test performance, processing and transport of specimens, loading of specimens into automated analyzers, and assessing test results
    • History of Automation:
      • First automated analyzer was the "Autoanalyzer" by Technicon in 1957
      • First commercial centrifugal analyzer was a spin-off technology from NASA outer space research in 1970
      • Automatic Clinical Analyzer (ACA) by DuPont (now Siemens) in 1970 was the first non-continuous flow, discrete analyzer with random-access capabilities
      • Kodak Ektachem (now Vitros) Analyzer in 1978 was the first to use microsample volumes and reagents on slides for dry chemistry analysis
    • Basic Concepts and Approaches to Automation:
      • Advantages of automation include decreased human factor, increased test performance, minimized variation in results, and accuracy not dependent on operator skill
      • Eliminates potential errors of manual analyses and uses small amounts of reagents and samples
    • Automated System Designs:
      • Total Laboratory Automation employs an integrated track system linking all workstations together
      • Modular Integrated Systems link multiple laboratory disciplines into a single testing platform
      • Stand-alone systems automate specific sections of the process that are still manual operations
    • Classification of Automated Analyzers:
      • Continuous Flow Analyzer: Samples flow through a common reaction vessel, significant carryover problems
      • Discrete Analyzer: Samples travel through the instrument in its own reaction vessel, each test reaction takes place in a separate compartment
      • Centrifugal Analyzer: Developed from space-aged technology, samples and reagents mixed together and flowed by centrifugal force into separate cuvettes
    • Centrifugal analyzers:
      • Samples and reagents mixed together, reacted, and flowed by centrifugal force into separate cuvettes for spectrophotometric analysis
      • Only one test type can be performed each time
    • Sequential:
      • Performing a set of test reactions in a particular order on each sample in the order received
    • Batch:
      • All samples loaded at the same time, and a single test conducted on each sample
    • Parallel:
      • More than one test analyzed concurrently on a given clinical system
    • Random access:
      • Any test can be performed on any sample in any sequence
    • Automated analysis technologies:
      • Bar coding
      • Optical character recognition
      • Voice identification
      • Radio frequency identification
      • Touch screens
      • Light pens
      • Hand print tablets
      • Optical mark readers
      • Smart cards
      • Automated specimen inspection to identify sample identification errors and sample integrity issues
    • Specimen preparation and identification:
      • Preparation of the sample for analysis is a manual process in most laboratories
      • Alternatives include the use of robotics or front-end automation, bypassing specimen preparation by using whole blood for analysis, and using barcode-labeled tubes
    • Specimen loading and aspiration:
      • Circular carousels or rectangular racks as specimen containers
      • Instrument determines the slot number containing the last sample and terminates the analysis after that sample
      • Tubes are typically decapped before sampling
      • Common problem: Carryover
      • Loading zone: area where specimens are held inside the instrument before analysis
    • Reagent systems and delivery:
      • Open-system analyzer allows operator to change analysis parameters and use reagents from various suppliers
      • Liquid reagents for open systems are less expensive than closed analyzers
      • Techniques of preservation include refrigeration, dried tablet form, or combining stable components at the moment of reaction
      • Reagent delivery techniques include syringes, piston-driven pumps, and pressurized reagent bottles connected to dispensing valves
    • Chemical reaction phase:
      • Mixing methods include forceful dispensing, magnetic stirring, vigorous lateral displacement, rotating paddle, and ultrasonic energy
      • Separation involves a high reagent-to-sample ratio and short reaction time
      • Incubation maintains required temperature and provides delay for color development
      • Measurement phase methods include UV light, fluorescent, flame photometry, ion-selective electrodes, gamma counters, and luminometers
    • Signal processing and data handling:
      • Accurate calibration is essential for reliable results
      • Proper use of standards reflects data on a standard curve for interpreting sample results
      • Instruments' computer goes into data acquisition and calculation mode after calibration
      • Signal processing may involve signal averaging with hundreds of data pulses per second
    • Future trends in automation:
      • Automation will continue to evolve with system integration and miniaturization
      • Automated analyzers may have artificial intelligence for decision-making
      • Spectral mapping and multiple wavelength monitoring will become standard with high-resolution photometers and polychromators
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