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Technical Support – Standards & Programs R. Lee Lippincott Ph.D. Research Scientist 1

Technical Support – Standards & Programs R. Lee Lippincott Ph.D. Research Scientist 1 A-280 Research Project Manager Bureau of Environmental Assessment Chair, NJAWWA Research and Technology Transfer Committee. Analytical Program Support Water Quality Standards.

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Technical Support – Standards & Programs R. Lee Lippincott Ph.D. Research Scientist 1

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  1. Technical Support – Standards & Programs R. Lee Lippincott Ph.D. Research Scientist 1 A-280 Research Project Manager Bureau of Environmental Assessment Chair, NJAWWA Research and Technology Transfer Committee

  2. Analytical Program SupportWater Quality Standards • Surface Water Quality Standards • N.J.A.C. 7:9B • Ground Water Quality Standards • N.J.A.C. 7:9-6 • New Jersey Safe Drinking Water Act (A-280) • P.L. 1983, c.443 • NJMCLs • N.J.A.C. 7:10-16

  3. Technical Support:Standards Development • NJDEP: Bureau of Ground Water Pollution Abatement • NJDEP: Bureau of Safe Drinking Water • NJDEP: Division of Water Quality Planning and Standards

  4. Technical Support Request

  5. PQL Objectives • To Quantify Chemical Contaminants at the Human or Aquatic Criterion Levels • To Determine Laboratory Capability • Theoretical • Current New Jersey Certified

  6. Method Performance SourcesTheoretical Laboratory Data • EPA • ORD Methods (500 series) • EAD Methods (1600 series) • SW846 Methods • APHA Standard Methods • USGS Scheduled Methods • Literature Research Methods

  7. Internet ResourcesTheoretical Precision and Accuracy Data • EPA • (100-900 series) • (1600 series) • USGS Scheduled Methods • ASTM Methods • http://infotrek.er.usgs.gov/servlet/page?_pageid=202,204,1160&_dad=portal30&_schema=PORTAL30

  8. Internet ResourcesTheoretical Precision and Accuracy Data • SW846 Methods • http://www.epa.gov/epaoswer/hazwaste/test/3_series.htm

  9. Method Performance SourcesTheoretical Laboratory Data • APHA Standard Methods • CDROM Methods • Literature Research Methods • Dialogue Search by NJDEP Information Resource Center (IRC)

  10. Method Performance SourcesTheoretical Laboratory Data • Determine a consistent Method Detection Limit (MDL) using published methods • Apply a multiplier to determine theoretical PQL • Multiplier range (3 to 5 times MDL)

  11. PQL Overall DesignCurrent New Jersey Certified Laboratory Data • New Jersey is a NELAP Recognized Accrediting Authority • NJ Certified Laboratories will submit method performance data as part of an annual demonstration • Office of Quality Assurance will maintain a database of this information

  12. Method Performance SourcesCurrent New Jersey Certified Laboratory Data • NJDHSS Laboratory • State Primacy Lab • Site Remediation “Equis” Database • BSDW Compliance Database • Private Well Testing Act Database

  13. Detection Limit Issues • Many regulatory standards near detection limit • Lab credibility often associated with detection limits • Maze of tests and matrices make it difficult to find a universally applicable technique • Calculating detection limits can be expensive

  14. Two Main Approaches to Calculating Detection Limit • Single Point • based on variability of analyte response at a single concentration • Multiple Point • Calibration Design

  15. Single Point Approach to Calculating Detection Limit • Method • 40CFR Part 136 Appendix B • Seven (7) replicates at ~ [5 times] the background noise • Multiply by (z) distribution factor • 3.14 time the S.D. = MDL

  16. Multiple Point Approach to Calculating Detection Limit • Calculate the detection limit from variability in analyte response from a series of standards spiked over a range of concentrations

  17. Multiple Point ApproachLinear Least Squares Regression YD Instrument Response YC 0 LC LD Concentration

  18. Multiple Point Approach Weighted Least Squares Regression Instrument Response YC LC LD

  19. Summary • Outlined program structure • Defined Inputs and Outputs for Technical Support • Presented the methodology for determining parameter specific Standards

  20. How Results Can Be Used ? • By DEP • To understand evolving improvements in Analytical Methods • To monitor sensitivity improvements to eventually quantify chemicals at the criteria level • To have a central source of information that defines the Data Quality Objectives for programs

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