Module 10 Flashcards

1
Q

Define QA

A

Quality assurance is a system of monitoring, evaluating and documenting that leads proof of analysis

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2
Q

Sample QA responsibilities

A
  • reporting in timely manner
  • reporting results to the appropriate individual
  • make sure lab if functioning efficiently
  • continuing ed programs for lab workers
  • evaluating lab personnel. Identify areas of improvement
  • use reliable tests
  • verify final reports
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3
Q

Define qc

A

Quality control describes the day to day monitoring of the accuracy and precision at lab level

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4
Q

Sample qc responsibilities

A
  • standard operating procedures (sops)
  • blanks, duplicates and control samples
  • calibration stds
  • matrix spikes
  • control charts
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5
Q

Define sops

A

Standard operating procedures

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6
Q

Define Qassess

A

Quality assessment is a Challenge to the effectiveness of a QA and QC programs . Measure of the quality assurance and quality control practices that are in place

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7
Q

Sample Qassess activities

A
  • blinds, round robins
  • performance evaluation samples
  • certified reference materials
  • audits
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8
Q

What blanks used in the field

A
  • equipment (rinsate) blanks
  • field blanks
  • trip blanks
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9
Q

Explain rinsate blanks

A

Checks contamination of sampling equipment

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10
Q

Explain field blanks

A

Checks contamination from the sampling equipment

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11
Q

Explain trip blanks

A

Checks contamination from artifacts introduced by cross contamination

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12
Q

2 types of background samples

A
  1. control samples

2. Spike samples

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13
Q

Explain control samples

A

Samples taken from control site must be collected (upwind of suspect site and up gradient with ground water)

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14
Q

Explain spike samples

A

A known amount of analyte is added to the sample during collection. Identify any transport, field, matrix effects or interferences that may be present . (Useful if background samples aren’t available)

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15
Q

Define accuracy

A

Accuracy is a measure of closeness to true value

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16
Q

Define precision

A

Describes the overall uncertainty from

A random variation. It is a measure of the repeatability of an analysis

17
Q

Define bias

A

Bias is a directional error, expressed as either high or low. Bias refers to variation of data from theoretical value

18
Q

Define error

A
  • systematic (determinant)
    - >systematic error are reproducible inaccuracies that are consistently in the same direction. This type of error effects the data average
  • random (indeterminate)
    - > random errors are statistical fluctuations (in either direction) in the measure data . They add variability to the data but do not affect average
19
Q

3 sources of error

A
  1. data phase
  2. implementation
  3. Lab analysis
20
Q

Quality control practices used to minimize errors

A
  • control samples (spikes and blanks)
  • documentation (record keeping and indelible ink)
  • training
  • equipment maintenance (preventative maintenance)
  • equipment calibration
21
Q

Sam

A

-