Ask the Expert Question:
We run several instruments like IC, ICP, GCMS, etc, for water analysis. What curve types are permitted (by EPA) to generate calibration curves. For example, EPA 300.1 ask for linear least squares fit. Can weighted models be use along with this?
Experts Response:
Tthe EPA method 300.1 does not allow any other calibration method other than linear regression. However, the EPA has been known to grant Alternative Test Protocol (ATP) status to use quadratic fit calibration models, but that is only granted on a case by case basis. You would need to apply for an ATP approval from EPA in order to use anything other than linear regression for method 300.1.
ICP, GCMS allow for linear regression models, as well as other calibration models. For GCMS it is most common to use Relative Percent Difference (RPD), weighted linear regression, and quadratic curves. I suggest that you read SW846 method 8000c for an explanation of the various calibration models acceptable for organic analysis.
View Ray Frderici's Expert profile here
Showing posts with label calibration. Show all posts
Showing posts with label calibration. Show all posts
Tuesday, July 12, 2011
What curve types are permitted by the EPA to generate calibration curves?
Labels:
alternative test protocol,
ATP,
calibration,
calibration curve,
curve,
GCMS,
IC,
ICP,
linear least squares,
method 8000c,
relative percent difference,
RPD,
SW846,
than linear regression
Monday, June 20, 2011
Detection, Quantification and Calibration: Impacts on Data Quality in Environmental Chemistry
Ask the Expert Webinar Series
June 23, 2011
1:30pm EST
Over the last 20-30 years there have been tremendous advances in analytical instrumentation - enabling faster analysis with better precision and accuracy than ever before. We are also responding to needs for ever lower reporting limits. Adoption of The NELAC Institute (TNI) standards has also helped to improve and standardize quality control procedures across the board.
However, when we look at the fundamental techniques that we use to translate instrument response into data of "known and documented quality" - calibration, detection and quantification - nothing much has changed. This webinar will examine the current state of the art for establishing these critical method properties, and will propose some possible avenues for improvement.
The presenter is Chair of the TNI Environmental Monitoring Methods Expert Committee, currently tasked with developing new standards pertaining to detection, quantification and calibration techniques.
June 23, 2011
1:30pm EST
Over the last 20-30 years there have been tremendous advances in analytical instrumentation - enabling faster analysis with better precision and accuracy than ever before. We are also responding to needs for ever lower reporting limits. Adoption of The NELAC Institute (TNI) standards has also helped to improve and standardize quality control procedures across the board.
However, when we look at the fundamental techniques that we use to translate instrument response into data of "known and documented quality" - calibration, detection and quantification - nothing much has changed. This webinar will examine the current state of the art for establishing these critical method properties, and will propose some possible avenues for improvement.
The presenter is Chair of the TNI Environmental Monitoring Methods Expert Committee, currently tasked with developing new standards pertaining to detection, quantification and calibration techniques.
Register Now for the presentation
Labels:
calibration,
data quality,
detection,
NELAC Institute,
quantification,
TNI Environmental Monitoring Methods Expert Committee
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