MARLAP
The Multi-Agency Radiological Laboratory Analytical Protocols (MARLAP) Manual
Overview
The MARLAP manual is a guidance document for radiochemistry laboratories and
for planners of projects that involve radiochemical analysis. The manual was
developed by a multi-agency workgroup with representation from the following
federal departments and agencies:
- Environmental Protection Agency (EPA)
- Nuclear Regulatory Commission (NRC)
- Department of Energy (DOE)
- Department of Defense (DoD), with representatives from the Army (and USACE),
Navy, and Air Force
- U.S. Geological Survey (USGS)
- Food and Drug Administration (FDA)
- Department of Homeland Security (DHS)
- National Institute of Standards and Technology (NIST)
There was also representation from the states (Kentucky and California).
The MARLAP manual is a large document, and it is divided conceptually into
two parts (although the printed version actually has three volumes). Part I is
intended primarily for project planners and deals with data quality objectives (DQOs),
measurement quality objectives (MQOs), and analytical issues that project
planners should be aware of. MARLAP Part II is intended mainly for laboratory
personnel and deals with technical issues at the radiochemistry laboratory
including chemistry, nuclear counting instruments, quality control, and
uncertainty evaluation.
History
The workgroup met for the first time in Washington, DC, in August 1995. The
first meeting lasted only about two days, and there were no more meetings for
several months, partly because of the temporary shutdown of much of the federal
bureaucracy in late 1995. The next meeting occurred in Montgomery, AL, in March
1996. The group clearly underestimated the effort that would be required to
develop the manual. Subsequent meetings gradually increased in length from two days to
five days and became more frequent. Several meetings were held at the
headquarters of the Nuclear Regulatory Commission in Rockville, MD. A few
meetings were held at the EPA’s National Air and Radiation Environmental
Laboratory in Montgomery, AL, and a few were held at the USGS’s National Water
Quality Laboratory in Denver, CO. Two meetings were
held at DOE’s Environmental Measurements Laboratory in New York City (now DHS’s
Environmental Measurements Laboratory). Many of the meetings were held at the
National Institute of Standards and Technology in Gaithersburg, MD.
The manual went through an internal agency review, further revisions, and
later a public review and a formal peer review by the Radiation Advisory
Committee of EPA’s Science Advisory Board (SAB).
The manual was finalized in July 2004 and was officially approved by all the
participating departments and agencies between August and December of 2004.
Training
The first pilot training course for Part I of MARLAP (project planning) was
presented in Montgomery on 8 March 2005. Since then several more complete 2-day
and 3-day courses have been presented.
|
8 – 9 November 2005 |
Denver |
|
11 – 12 April 2006 |
Atlanta |
|
31 May – 1 Jun 2006 |
Sacramento |
|
8 – 9 August 2006 |
Chicago |
|
19 – 21 September 2006 |
New York City |
|
March 2007 |
Seattle |
|
8 – 10 April 2008 |
Boston |
|
July 2009 |
Dallas |
|
August 2009 |
Philadelphia |
NOTE: If you plan to attend a MARLAP course, please bring a
calculator. Some of the course modules involve exercises, and some of the
exercises do require calculations.
Currently no training course is offered for Part II of MARLAP.
How to Obtain the Manual
To view or download the MARLAP manual, visit
http://www.epa.gov/radiation/marlap/index.html.
It is possible to download any or all chapters and appendices.
Errata
Listed below are some known errors in the MARLAP manual.
Acronyms and Abbreviations
- In Keith’s opinion the unit symbol for the tropical year (31 556 926 s) should be “a,” not “y”;
however, there seems to be no final authority on
the subject. The symbol “a” is recommended by ISO 31-1 (Quantities and units —
Part 1: Space and time),
but a search of the web finds that the same symbol is sometimes used for other types of years,
such as the Gregorian year (365.2425 d). Note that no version of the year is
currently accepted for use with the SI, although some version is obviously
needed.
Chapter 5: Obtaining Laboratory Services
- Page 5-16. Cited References. The most recent revision date for ANSI
N42.23 was (and still is) 1996. According to a knowledgeable source, the
document was reapproved without change in 2003; however, the ANSI web site
shows the revision date as 1996.
Chapter 6: Selection and Application of an Analytical Method
- Page 6-36. References. The most recent revision date for ANSI N42.23 is 1996.
The document was reapproved without change in 2003.
Chapter 8: Radiochemical Data Verification and Validation
- Pages 8-21 and 8-31. Some of the recommendations of Chapter 8 are inconsistent with those of Chapters
1, 16, 19, and 20.
In particular, Chapters 1, 16, and 19 allow a lab to report either the combined standard
uncertainty or an expanded uncertainty as long as the uncertainty is clearly explained.
(This is consistent with the GUM.) Chapter 8 recommends an expanded uncertainty only.
Furthermore, Chapter 8 explicitly
recommends that the lab report a sample-specific MDC with each result. Chapter 20
conspicuously avoids such a recommendation, noting the likelihood that a sample-specific MDC will be misused.
The principal author of Chapter 20 intended to ensure that no part of MARLAP
explicitly recommended or forbade the reporting of sample-specific MDCs. The
workgroup recognized that sample-specific MDCs would continue to be reported
regardless of its recommendation, and chose to emphasize instead a correct
understanding of the MDA/MDC concept.
- Page 8-31. Bibliography. Every other chapter calls this section
“References,” not “Bibliography.”
Chapter 19: Measurement Uncertainty
- Page 19-1. Table of contents. The recommendations are in Section 19.3.9, as
stated in the chapter overview. The references are listed in Section 19.6, and there is
no Section 19.7.
- Page 19-24. Equation 19.14 is written incorrectly. It is correct as written
only when the sensitivity coefficients for each pair of correlated input
estimates have the same sign. The problem is that the individual components
of the standard uncertainty are always positive, regardless of the signs of
the sensitivity coefficients. This equation was included only to illustrate
concepts and obviously was not checked carefully enough before publication.
It may be deleted from future editions of the document, since it is not
actually necessary for calculating an uncertainty. Footnote 8
on page 25 also requires some changes in wording.
- Page 19-30. Example 19.12. The second equation, which calculates uc(p),
the combined standard uncertainty of p, uses an incorrect
value for u(y). The standard uncertainty of
y is actually 3, not 4. The rest of the equation, including the
final result is correct; so, the error seems to be only a typo.
- Page 19-58. Cited Sources. The most recent revision date for ANSI N42.23
is 1996. The document was reapproved without change in 2003.
- Page 19-99. Apparently the author and the reviewers had never heard of “conventional mass.”
According to
OIML R 111-1,
the values of mass standards are to be given as conventional mass, not true
mass. (ASTM follows suit.)
This subtlety can make a slight difference in
how one corrects for buoyancy when the balance is calibrated in terms
of conventional mass. Buoyancy effects in general are usually small, and the
difference here is really tiny, because mass standards tend to be dense. In the
buoyancy example, the density was 7.85 g/mL and the reference density
for conventional mass is 8 g/mL. The corresponding relative error in
the buoyancy correction factor would be only about
−3 × 10−6. If the true mass of the
standard is used for calibration, as the author of Chapter 19 apparently
assumed, the buoyancy correction factor is OK as is. Nevertheless, the concept of
conventional mass should be mentioned in the section.
- Page 19-100. Equations 19.65 and 19.66. The next revision of the chapter
should cite the CIPM formula (1981/1991) for the density of moist air
(source available in French at
http://www.bipm.fr/en/publications/pub_divers.html) and use an
approximation more consistent with it.
- A new definition is needed for a log-normally distributed
quantity on page 19-68. Technically, one cannot take the logarithm of the value of a quantity unless that
quantity is dimensionless. So, the new definition might say that a quantity
X has a log-normal distribution if
the logarithm of its numerical value is normally distributed. The
“numerical value” of a quantity (with respect to an appropriate unit of
measurement), unlike the “value,” is always dimensionless.
Chapter 20: Detection and Quantification Capabilities
- Page 20-34. References. The standard number for the last reference on
the page should be ISO 11929-3, not 11929-2. (Thanks to Manuel Martinez
Moreno for pointing out this one.)
Appendix G: Statistical Tables
- There are no known errors in the downloadable PDF versions of Appendix
G, but the printed copies have Arabic characters substituted
for Greek letters. If you notice similar problems in your PDF version,
please contact Keith using the link below.
If you find other errors in the manual, particularly in Chapters 19 and 20
and Appendices C, F, and G, please e-mail Keith at
Work@McCroan.com.
Keith also has particular interest in Chapters 1, 3, 6, 16, and 18; however, he
will accept comments on all parts of the manual and pass them along to the
workgroup.
Note: Keith seems to have difficulty putting all the words into “Multi-Agency
Radiological Laboratory Analytical Protocols.” If you find examples of it
on this web site, please let him know about those errors too.
Other Likely Improvements for Revision 1
Chapter 6: Selection and Application of an Analytical Method
- Given the results of work performed in 2007 and discussed at the
RRMC in
Jackson, Wyoming, the method validation acceptance criterion is likely to be
replaced with a more powerful statistical test based on mean squared error.
Chapter 20: Detection and Quantification Capabilities
- A few of the equations for detection limits may be rewritten in
different but equivalent forms.