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Quality Control Items

Iowa State University Grain Quality Lab Quality Control Maureen Suryaatmadja Graduate Research Assistant Agricultural Engineering Iowa State University February 14, 2005. Quality Control Items. Daily NIR check sample Instrument Duplicates

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Quality Control Items

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  1. Iowa State UniversityGrain Quality Lab Quality ControlMaureen SuryaatmadjaGraduate Research AssistantAgricultural EngineeringIowa State UniversityFebruary 14, 2005

  2. Quality Control Items • Daily NIR check sample • Instrument Duplicates • Equipment Check and Periodic Check of other instruments

  3. Daily NIR Check Sample

  4. Objectives • to maintain the performance of the instruments • to make sure that the instruments are stable • to collect data as a part of NIRS research

  5. Materials • Grain corn (20030149) • Grain soybeans (20030688) • Thermometer • Infratec 1225, 0065 • Infratec 1229, 243108 • Infratec 1229, 553075 • Infratec 1229, 553792 • Infratec 1241, 12410350 • NIR System 6500, 3117 • Perten DA 7200, 020102

  6. Continue • Perten 9100, 3170 • Omega G, 106118 • Omega AC, 301002 • Omega G, 6110 • Omega S, 201101 • Zeltex 800,16125 • Zeltex 800,16131 • Zeltex 800,16179

  7. Procedures • Follow the procedures of every instrument (each instrument has slightly different procedures) • Collect and record the data in the book and spreadsheet • Build the control chart • Make a 20 point moving average trend line • Samples are changed periodically • Data log is used to record other events

  8. Control Charts • Calculate mean, upper control limit and lower control limit. • Upper and lower control limits were set according to this formula:

  9. Data and Results • The result summary • \\Grainbin\QCData\QC Daily Check\Daily Check Summary • The data and the control charts for each instrument • \\Grainbin\QCData\QC Daily Check\qc IT1225 0065 • \\Grainbin\QCData\QC Daily Check\qc IT1229 243108 • \\Grainbin\QCData\QC Daily Check\qc IT1229 553075 • \\Grainbin\QCData\QC Daily Check\qc IT1241 12410350 • \\Grainbin\QCData\QC Daily Check\qc NIRSystem 6500 3117 • \\Grainbin\QCData\QC Daily Check\qc Omega AC 31002 • \\Grainbin\QCData\QC Daily Check\qc Omega G 106118 • \\Grainbin\QCData\QC Daily Check\qc Omega G 6110 • \\Grainbin\QCData\QC Daily Check\qc Omega S 201101 • \\Grainbin\QCData\QC Daily Check\qc Perten 9100 3170 • \\Grainbin\QCData\QC Daily Check\qc Perten DA 7200 020102 • \\Grainbin\QCData\QC Daily Check\qc ZX800 16125 • \\Grainbin\QCData\QC Daily Check\qc ZX800 16131 • \\Grainbin\QCData\QC Daily Check\qc ZX800 16179

  10. Daily Check Summary (Infratec 1229 553075)

  11. Example

  12. Example

  13. Example

  14. Conclusion • When the sample is used in short period, the collected data will be more accurate and easy to be analyzed • From the control chart, some instruments have out of control data. These do not mean that the instruments are not stable. These may be caused by: • Using the wrong sample • Using the wrong calibration ID • Inadequate grain • Untrained operators

  15. Instrument Duplicates

  16. Objective • to measure reproducibility over time and samples of the instruments that are used for service

  17. Materials • Corn grain from variety sources • Soybeans grain from variety sources • Infratec 1225, 0065 • Infratec 1229, 243108 • Infratec 1229, 553075 • Infratec 1241, 12410350 • Grainspec 5174 (through 2003)

  18. Procedures • Prepare the samples • Set up instrument that will be used • Set up data files • Run the samples twice for every tenth sample, record the sample number and source • Save the files • Build the control chart for every instrument

  19. Control Charts • Control charts are built for differences between first and second measurement • Calculate mean, UCL and LCL for the differences • Upper and lower control limits were set according to this formula:

  20. Data and Results • The result summary • \\Grainbin/QCData/duplicate summary/QC Duplicate Summary • The data and the control charts • \\Grainbin/QCData/duplicate summary/2000/Corn/Duplicate Corn 2000 • \\Grainbin/QCData/duplicate summary/2000/Soybeans/Duplicate Soybeans 2000 • \\Grainbin/QCData/duplicate summary/2001/Corn/Duplicate Corn 2001 • \\Grainbin/QCData/duplicate summary/2001/Soybeans/Duplicate Soybeans 2001 • \\Grainbin/QCData/duplicate summary/2002/Corn/Duplicate Corn 2002 • \\Grainbin/QCData/duplicate summary/2002/Soybeans/Duplicate Soybeans 2002 • \\Grainbin/QCData/duplicate summary/2003/Corn/Duplicate Corn 2003 • \\Grainbin/QCData/duplicate summary/2003/Soybeans/Duplicate Soybeans 2003

  21. Duplicate Summary (Infratec 1229 553075, Soybeans)

  22. Continue

  23. Example

  24. Example

  25. Conclusion • The precision of the instrument will decrease when it is often used for service • Reproducibility make variation in the measurement, specially when the instrument is used for many samples

  26. Equipment Check and Periodic Check of Other Instruments

  27. Objective • To demonstrate that all equipment qualifies to be used to support research and service

  28. Materials

  29. Continue

  30. Procedures • Prepare the materials that will be used • Read and follow the procedures of every instrument/equipment • Record the result in the Lab Q/C book and spreadsheet • Build an appropriate chart

  31. Data and Results • The data and results: • \\Grainbin\QCData\Equipment Check\Balances • \\Grainbin\QCData\Equipment Check\Thermometers • \\Grainbin\QCData\Equipment Check\Dividers • \\Grainbin\QCData\Equipment Check\Seedcounter • \\Grainbin\QCData\Equipment Check\testwt

  32. Balance Check

  33. Thermometer Monthly Check

  34. Rotary Divider Weekly Check

  35. Rotary Divider Chart

  36. Seed Counter Weekly Check

  37. Seed Counter Chart

  38. Seed Counter Chart

  39. Water test of test weight cup (yearly)

  40. Water test of test weight cup chart

  41. Grain test of test weight cup (weekly)

  42. Quart/Pint

  43. GAC 2000/2100

  44. Conclusion

  45. Conclusion

  46. Future Works • Make sure that every instrument/equipment in the lab has a right procedure, improve the procedure as needed • Set the tolerance for each item of quality control • Decide what action should be taken if data is out of tolerance

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