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CT DEP Reasonable Confidence Protocols Glen Breland, VP Member CT DEP QA/QC Workgroup

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Page 1: CT DEP Reasonable Confidence Protocols - Amazon S3s3.amazonaws.com/ebcne-web-content/fileadmin/pres/... · Basic QA/QC Concepts ♦Quality Assurance (QA) is a set of general principles

CT DEP Reasonable Confidence Protocols

Glen Breland, VP Member CT DEP QA/QC Workgroup

Page 2: CT DEP Reasonable Confidence Protocols - Amazon S3s3.amazonaws.com/ebcne-web-content/fileadmin/pres/... · Basic QA/QC Concepts ♦Quality Assurance (QA) is a set of general principles

Reasonable Confidence Protocols

(RCPs) Overview

♦ Why develop the RCPs?

♦ What are the RCPs?

♦ What is Reasonable Confidence?

♦ What methods are affected?

♦ Some method highlights

♦ Lab Certification & Project Planning forms

♦ When does this take affect?

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Reasonable Confidence Protocols

(RCPs) Overview

♦ Why develop the RCPs

• Ensure known & documented data quality

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Reasonable Confidence Protocols

(RCPs) Overview

♦ What are the RCPs?

• Specific performance criteria for labs to follow

– Calibration, QC, Reporting

– Guidance on remedial action

• Based on the MCP model

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Reasonable Confidence Protocols

(RCPs) Overview

♦ What is Reasonable Confidence?

• Phrase implies that data reviewer can have

confidence the lab has followed a set of guidelines which will generate data of consistent quality. Lab will

certify this fact.

• Reasonable Confidence will form the basis for the

data reviewer to asses usability

• Narratives are critical elements in assessing usability

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CT RCP Methods

� 8260 – Volatiles by MS

� 8270 – Semi Vol by MS

� 8081 - Pesticides

� 8082 - PCB

� 8151 - Herbicides

� 8021 – Volatiles by GC

� Some air methods

�TO 14

�TO 15

�TO 17

� CT ETPH Petroleum

�Mass Methods for EPH & VPH

�Will soon be released

� 6010 – Metals by ICP

� 6020 – Metals by ICP/MS

� 7470/7471 - Mercury

� 7000 Series – Metals by AA

� 9010/9012/9014 - Cyanide

� Hex Chrome

� SPLP & TCLP

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RCP Methods Overview

♦ Standard analyte lists

♦ RL equal to lowest cal standard

• ICP exception (check standard at RL)

♦ “B” flag required (“E” flag can be used)

♦ Batch MS/MSD not reported

♦ TICs only done on client request, except drinking

water

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RCP Methods Overview

♦ Results below RL reported as “ND”

♦ Specific list of report deliverables

♦ Dilutions of highest analyte in upper 60% of cal

curve

♦ Soil/sediments on dry weight basis

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RCP Method Performance Table

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CT RCP Forms

♦ Pre-Project Planning Form

♦ Lab Certification Form

• 7 Questions

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RCP Laboratory Certification Form

Page 12: CT DEP Reasonable Confidence Protocols - Amazon S3s3.amazonaws.com/ebcne-web-content/fileadmin/pres/... · Basic QA/QC Concepts ♦Quality Assurance (QA) is a set of general principles

Important Dates

CT DEP Policy letter

Samples collected after Sept 1, 2007

Must follow RCPs or prove equivalency

Soil preservation requirement: 5035

• March 1, 2006

♦ All soils collected after this date must follow the

guidance document for collection and

preservation of soils for volatile analysis

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Evaluating Data Usability

Data of known quality should be used to support

decisions that relate to a site’s data quality

objectives (DQO) or the original intended

purpose of obtaining the data

How do we know the quality of the data?

QUALITY CONTROL INFORMATION

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Quality Control Information

♦ Why Do I Need It?

• Because we don’t know the sample’s true value or

“what’s in the jar”

♦ We Do Know (or we are just learning) That:

• All measurement systems have bias

• Bias can be negative or positive from the true value

• Bias can be attributed to many factors

– Sample related

– Measurement related

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Quality Control Information

♦ What is a matrix spike and how does it differ

from a surrogate spike and why do I care?

♦ Why are duplicates important?

♦ Do I really need a trip blank and when I get it

what does it tell me?

♦ Why does the lab report include a laboratory

control sample (LCS)?

♦ How do I use all of the above to evaluate if the

data is usable?

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Basic QA/QC Concepts

♦ Quality Assurance (QA) is a set of general principles designed to establish the reliability of (in this case) a measurement system. Precision, accuracy and sensitivity are several of these principles

♦ Quality Control (QC) defines the specific tools which are used to achieve this measurement reliability. Duplicates and spikes are two of these tools

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DUPLICATES

METHOD BLANKS

MATRIX

SPIKES

SU

RR

OG

ATES

DETECTION

LIMIT

S

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�Precisionrecision

�Accuracyccuracy

�Representativenessepresentativeness

�Completenessompleteness

�Comparabilityomparability

�Sensitivityensitivity

Quality Assurance Principles

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Applying Concepts

♦ Understanding QA concepts is key to

performing a data usability assessment

• Precision: duplicates

• Accuracy: recoveries, blanks

• Sensitivity: methods, matrix issues, DQOs,

regulatory criteria

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Connecticut DEP RCP Summary

♦ Standardized Methods – The RCPs

• Some labs require you specifically request these

methods

• Must be performed for samples collected after

September 1, 2007 (or prove equivalency)

♦ Reasonable Confidence

♦ Data Usability