The applications of several laboratory analyses to the diagnosis of conditions leading to sub-optimal production of grazing livestock have been examined by a Ministry of Agriculture and Fisheries' Study Group. Information required to make valid interpretations of analyses was sought from current research work. Analysis of serum magnesium appears to have good predictive value for indicating when magnesium supplementation will generate a milk production response. Comparable information is not available for selenium or copper. Present laboratory analyses for diagnosing non-recovery from facial eczema, or preventing the "parturition syndrome", are insufficiently reliable to be recommended. Similarly, a profile for energy status has not yet been developed.The Study Group believed that a research investment in several of these areas could generate useful predictive relationships and provide more certain diagnosis of reasons for poor production in the future.
The analysis of volatile organic compounds in hazardous waste samples from the U.S. Environmental Protection Agency Superfund program is done by selected contractor laboratories using methods specified in the EPA Invitation to Bid document WA85-J664. Data for the precision and accuracy of the method is obtained from the quality assurance data in the Contract Laboratory Program database. Method precision is obtained from the results of matrix and surrogate spiking of the samples. Bias is obtained from the results of surrogate spiking, preaward samples, and quarterly blind quality assurance samples. The precision, expressed as relative standard deviation, varies from 8 to 16% while the bias varies from +6.5 to -46%.
The analysis of semi-volatile organic compounds in hazardous waste samples for the U. S. Environmental Protection Agency's Superfund Program is done by selected contractor laboratories using methods specified in the EPA Invitation for Bid document WA-85-J664. The Contract Laboratory Program maintains a data base containing information on precision and accuracy for matrix and surrogate spiking of samples. In addition, pre-award and quarterly blind quality assurance sample results yield data for precision and accuracy. The precision, expressed as relative standard deviation varies from 16% to 42% while the bias ranges from −59% to +12%.
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