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22 May 1997 Error-budget considerations in diagnostic instrumentation
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Proceedings Volume 2985, Ultrasensitive Biochemical Diagnostics II; (1997)
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States
Analytical instrument systems present assemblies of components which each introduces its won contribution to the overall system precision. Combining realistic models of detector response with a Beer's Law model for absorbance (A) provides a prediction for the overall system uncertainty. For the constant detector uncertainty model, reasonable values of sample parameters lead to substantial increases in the absorbance at minimum relative concentration error (RCE), the value of the RCE and the limits of the range of A values for best RCE. Similar effects follow from the square root detector model. In both detector models these effects are increased by concentration uncertainty. Assay chemistry factors dominate the system RCE at low A, making high precision difficult at low A. For fluorescence measurements, since analyte concentration is nearly proportional to detected signal, the same detector models indicate no minimum in RCE.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. E. Cohn "Error-budget considerations in diagnostic instrumentation", Proc. SPIE 2985, Ultrasensitive Biochemical Diagnostics II, (22 May 1997);

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