SlideShare a Scribd company logo
1 of 28
Unit 9Supplementary hygiene Sampling and compliance information
Basic description of variables used in hygiene calculations and sampling considerations
Flow rate is the rate of which air is being pulled through the sampling device Typically reported as liters/min (l/min) Calculate average between pre and post calibration measures 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒=(𝑝𝑟𝑒 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒+𝑝𝑜𝑠𝑡 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒)2 NOTE on calibration: Pre and post measurements must be within 10% or sample is invalid and should be thrown out If >5% but <10%, sample may be considered with caution   Flow Rate
Sample duration is the total length of time the sample was collected  Typically this is reported in minutes (min) but can also be reported in seconds, hours, days, or weeks During measurement record the (1) start time and date when sampling begun, (2) the end time and date when sampling ceased Take the difference to calculate duration 𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛= 𝑒𝑛𝑑 𝑡𝑖𝑚𝑒 −𝑠𝑡𝑎𝑟𝑡 𝑡𝑖𝑚𝑒   Sample duration
The volume collected can be determined by using the sample flow rate and sample duration 𝑣𝑜𝑙𝑢𝑚𝑒=𝑓𝑙𝑜𝑤 𝑟𝑎𝑡𝑒 ∗𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛 𝑣𝑜𝑙𝑢𝑚𝑒 𝑙𝑖𝑡𝑒𝑟𝑠=𝑙𝑖𝑡𝑒𝑟𝑠𝑚𝑖𝑛𝑢𝑡𝑒∗𝑚𝑖𝑛𝑢𝑡𝑒𝑠 𝑣𝑜𝑙𝑢𝑚𝑒 𝑙𝑖𝑡𝑒𝑟𝑠=𝑙𝑖𝑡𝑒𝑟𝑠𝑚𝑖𝑛𝑢𝑡𝑒∗𝑚𝑖𝑛𝑢𝑡𝑒𝑠 NOTE:  Volume will most likely need to be converted to m3, which can be done either before entering into concentration equation or after   Volume Collected If we multiply the flow rate by duration we can see that we cancel out minutes and are left with liters
For most analytical methods we will be provided with a mass value from the analytical laboratory that conducted the analysis of the samples The units will depend on the measurement method Common unit values would include: grams (g) milligrams (mg) micrograms (µg) nanograms (ng) Mass of substance
Concentration of a substance is calculated using the volume collected (previously calculated) and the mass reported by the laboratory 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑎𝑠𝑠𝑣𝑜𝑙𝑢𝑚𝑒=𝑚𝑔𝑙𝑖𝑡𝑒𝑟 Incorporating flow-rate formula we get an overall formula: 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑎𝑠𝑠𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒∗𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑔𝑙𝑖𝑡𝑒𝑟𝑠𝑚𝑖𝑛𝑢𝑡𝑒∗𝑚𝑖𝑛𝑢𝑡𝑒𝑠   Concentration
Sample calculation (step 1: Calculate sample duration/flow rate) 𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛= 𝑒𝑛𝑑 𝑡𝑖𝑚𝑒 −𝑠𝑡𝑎𝑟𝑡 𝑡𝑖𝑚𝑒  =  (4:20 pm – 8:02 am)   =  (16:20 – 8:02)  =   8 hours + 18 min   =  480 min + 18 min   =  498 minutes   Where, 8 hours *  (60 min/hour) =  480 min
Sample calculation (step 1: Calculate sample duration/flow rate) 𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 					=  (1.998  l/min   +   1.967 l/min) 2 = (3.965 l/min) / 2 = 1.982  l/min   𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒=(𝑝𝑟𝑒 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒+𝑝𝑜𝑠𝑡 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒)2  
𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 Take smaller flow rate and multiply by 10%/5%: 1.967 l/min * 0.1 = 0.197 l/min Check to ensure other flow rate is within 10% 1.967 l/min + 0.197 l/min =  2.164 l/min  (OK) Check flow rate within 5% 1.967 l/min * 0.05 =  0.098 l/min + 1.967 l/min = 2.065 l/min (OK)   Sample calculation (step 2:  Check flow rates within 10 & 5 %)
Pre and post flow rates for samples 2001  and 2053  are within 5% of each other   Valid Samples Pre and post flow rates for sample 2051 are not within 10% of each other  invalid sample (Throw out) Sample calculation (step 2:  Check flow rates within 10 & 5 %)
𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 𝑣𝑜𝑙𝑢𝑚𝑒=𝑓𝑙𝑜𝑤 𝑟𝑎𝑡𝑒 ∗𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛	=  (1.982 l/min  *  498 min) 			 	=  (1.982 l/min  *  498 min) 				=  987 liters Convert to m3 = 987 liters *  (1 m3/1000 l) 	 = 0.987 m3   Sample calculation (step 3: Calculate volume m3)
𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑎𝑠𝑠𝑣𝑜𝑙𝑢𝑚𝑒    =𝑚𝑔𝑚3 = (2.54 mg)/(0.987 m3) = 2.57 mg/m3   Sample calculation (step 4: Calculate concentration mg/m3)
*Na = Not applicable Sample calculation (Final concentrations)
Field blanks
Field blanks are samples that are sent out during sampling that are opened and closed without pulling air through them What is the purpose of field blanks? To test for contamination of samples during transportation, handling, and storage How many field blanks should you use? It depends but recommended practice is 10% of your number of samples   Do we have to analyze the samples?  YES you must!  Best practice Field blanks
What do you do if mass is reported on field blanks?   Throw the samples out for that sampling period Good option if contamination is limited to small number of samples or if contamination levels were high  Adjust for the contamination Acceptable if contamination levels are not too high If small batch is contaminated we can adjust only those samples from the contaminated batch by the field blank value If contamination is on multiple blanks during a sampling project we can adjust for each batch or we can apply an adjustment to all samples using average field blank value Ignore contamination and include all samples  It is recommended not to use this option  bad practice How to treat Field blank results
Common Reasons people do not take Field blanks Don’t know they should Many people taking hygiene samples lack training on proper sampling collection procedures and best practices Don’t want to risk having to throw out samples Perceived risk of job Can be regarded as throwing money away in eyes of management Risk of reputation viewed as doing “bad job”/inadequate performance Feel like all the work was done for nothing  not completing tasks Budget restraints Often budgets for hygiene sampling is very limited and people do not want to allocate a significant proportion (~10%) to “blanks”
What does it mean if we find contamination in our blanks? We may potentially have contamination in our samples Our reported results may be higher than the actual exposure levels By having blanks we are aware of contamination and can adjust accordingly  What does it mean if we had contamination and do not know (i.e. we don’t have field blanks) We can overestimate exposures May lead to: Additional sampling (probably more costly than including 10% blanks) Implementation of potentially unnecessary controls (very costly) Workers’ compensation orders for non-compliance In summary, field blanks: Increases our confidence in our measurements Saves time and money How to ‘sell’ field blanks
Limit of detection
What is LOD? LOD stands for the Limit Of Detection This is the lowest level (e.g. concentration) measureable by an analytical method or sampling device Why is this important Measurements under the LOD do not give us much information on the hazard but they cannot be ignored/omitted from analysis or the discussion of results Having multiple LOD measurements often results in skewed or lognormal data distributions  They can be difficult to deal with and interpret LOD Definition
Several methods have been proposed, most important thing to remember is you cannot omit them from determining the average concentrations.  Two most commonly used: Method 1 Multiply the LOD by 0.5 (i.e. LOD/2)  for each data point that was <LOD For example if the LOD reported is 2 ppm then you would input (2ppm*0.5 = 1ppm)  Only use when the data are highly skewed (GSD approximately 3.0 or greater) Method 2 Multiply the LOD by 0.707 (i.e. LOD/√2) for each data point that was <LOD For example if the LOD reported is 2 ppm then you would input (2ppm*0.707 = 1.4 ppm)  Use when data not highly skewed Methods to deal with <lod measurements
Determining compliance from exposure data
Now that we have conducted sampling how do we determine if we are compliant with the regulations? Do we compare each reading/sample with limits? Do we calculate the % of samples over the limits? Do we compare the average of the readings/samples with the limits? Although these methods are commonly used compliance is a bit more complex and methods for determining compliance are under debate For this class we are going to review a method frequently used and accepted in North America using confidence limits For this topic please recall readings from last week that covered confidence limits and determination of compliance (pg. 510-512 of text) and also readings from this week (pg. 516-517) Determining compliance
The first step to determine compliance is to calculate the upper and lower confidence limits of the mean Why do we do this? When we take samples we introduce uncertainty/error into our measurement This comes from error in our measurement, instruments, and analysis This means the measurement we take is not the “true” value of the exposure The true value is the measured exposure +/- error  Calculating confidence limits (or the confidence interval) allows us to account for some of the error/uncertainty in our measurements Determining compliance using confidence limits
Confidence limits are limits placed around the mean (i.e. average) that represents the amount of uncertainty in our samples The confidence limits include an upper and a lower bound estimate: LCL = lower confidence limit, the lower bound limit UCL = upper confidence limit, the upper bound limit This interval (upper confidence limit ↔ lower confidence limit) specifies the range of values in which the true exposure mean may lie at a specified confidence level  (95% most common) More narrow the interval, the more precise our measurements are More wide the interval, the less precise our measurements are Confidence limits
The confidence limit method used to determine compliance compares the mean, upper and lower confidence limits to the exposure limit If the upper confidence limit is below the exposure limit we can say that we are complaint “on average” If the lower confidence limit is above the exposure limit we can say that we are not compliant “on average” If the lower and upper confidence limit crosses the exposure limit it is unclear if we are compliant or not and require further testing Using confidence limits to determine compliance The next slide graphically displays the concept where: Upper Confidence Limit Mean Lower Confidence Limit
Compliance chart Exposure Limit Concentration     Compliant	     Possibly non-compliant	        Non-Compliant

More Related Content

What's hot

Ceramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdf
Ceramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdfCeramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdf
Ceramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdfNarendranSubramaniam3
 
Industrial safety engineering
Industrial safety engineeringIndustrial safety engineering
Industrial safety engineeringKenzieBosco
 
Chemical Management System (CMS) in T&C
Chemical Management System (CMS) in T&CChemical Management System (CMS) in T&C
Chemical Management System (CMS) in T&CAzmir Latif Beg
 
Industrial Hygiene
Industrial HygieneIndustrial Hygiene
Industrial Hygienevasant oak
 
What are the moral, legal and financial reason to manage safety in an organiz...
What are the moral, legal and financial reason to manage safety in an organiz...What are the moral, legal and financial reason to manage safety in an organiz...
What are the moral, legal and financial reason to manage safety in an organiz...vigneshm817927
 
Nebosh International Diploma unit A questions matrix
Nebosh International Diploma unit A questions matrixNebosh International Diploma unit A questions matrix
Nebosh International Diploma unit A questions matrixCiske Berrington
 
Health and Safety in Selected Industrial Sectors
Health and Safety in Selected Industrial SectorsHealth and Safety in Selected Industrial Sectors
Health and Safety in Selected Industrial SectorsGAURAV. H .TANDON
 
P-4 [14]=Ch.2=HIRA---(43)--Nov.2011.ppt
P-4 [14]=Ch.2=HIRA---(43)--Nov.2011.pptP-4 [14]=Ch.2=HIRA---(43)--Nov.2011.ppt
P-4 [14]=Ch.2=HIRA---(43)--Nov.2011.pptKrishna Yadav
 
Hazard identification assessment and control techniques
Hazard identification assessment and control techniquesHazard identification assessment and control techniques
Hazard identification assessment and control techniquesDeep parmar
 
Work At Height Regulations
Work At Height RegulationsWork At Height Regulations
Work At Height RegulationsAsep Herman
 
The importance of safety
The importance of safetyThe importance of safety
The importance of safetySalim Solanki
 
Slips Trips And Falls
Slips Trips And FallsSlips Trips And Falls
Slips Trips And FallsHvacmach
 
Noise and Vibration hazards
Noise and Vibration hazardsNoise and Vibration hazards
Noise and Vibration hazardswasim shah
 
Construction hazards and_safety_by_isti
Construction hazards and_safety_by_istiConstruction hazards and_safety_by_isti
Construction hazards and_safety_by_istiSYED HAIDER ABBAS
 
HEALT & SAFETY IN THE OIL & GAS INDUSTRY
HEALT & SAFETY IN THE OIL & GAS INDUSTRYHEALT & SAFETY IN THE OIL & GAS INDUSTRY
HEALT & SAFETY IN THE OIL & GAS INDUSTRYAlex TX
 
Event tree analysis and risk assessment
Event tree analysis and risk assessmentEvent tree analysis and risk assessment
Event tree analysis and risk assessmentSalah Mansour
 
Industrial safety final
Industrial safety finalIndustrial safety final
Industrial safety finalARUNAYESUDAS
 

What's hot (20)

Ceramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdf
Ceramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdfCeramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdf
Ceramah-PPMU-OSHE-17-Dec-2020-Chemical-Register.pdf
 
Industrial safety engineering
Industrial safety engineeringIndustrial safety engineering
Industrial safety engineering
 
Chemical Management System (CMS) in T&C
Chemical Management System (CMS) in T&CChemical Management System (CMS) in T&C
Chemical Management System (CMS) in T&C
 
Industrial Hygiene
Industrial HygieneIndustrial Hygiene
Industrial Hygiene
 
What are the moral, legal and financial reason to manage safety in an organiz...
What are the moral, legal and financial reason to manage safety in an organiz...What are the moral, legal and financial reason to manage safety in an organiz...
What are the moral, legal and financial reason to manage safety in an organiz...
 
Nebosh International Diploma unit A questions matrix
Nebosh International Diploma unit A questions matrixNebosh International Diploma unit A questions matrix
Nebosh International Diploma unit A questions matrix
 
Health and Safety in Selected Industrial Sectors
Health and Safety in Selected Industrial SectorsHealth and Safety in Selected Industrial Sectors
Health and Safety in Selected Industrial Sectors
 
P-4 [14]=Ch.2=HIRA---(43)--Nov.2011.ppt
P-4 [14]=Ch.2=HIRA---(43)--Nov.2011.pptP-4 [14]=Ch.2=HIRA---(43)--Nov.2011.ppt
P-4 [14]=Ch.2=HIRA---(43)--Nov.2011.ppt
 
Hazard identification assessment and control techniques
Hazard identification assessment and control techniquesHazard identification assessment and control techniques
Hazard identification assessment and control techniques
 
Work At Height Regulations
Work At Height RegulationsWork At Height Regulations
Work At Height Regulations
 
The importance of safety
The importance of safetyThe importance of safety
The importance of safety
 
Slips Trips And Falls
Slips Trips And FallsSlips Trips And Falls
Slips Trips And Falls
 
Noise and Vibration hazards
Noise and Vibration hazardsNoise and Vibration hazards
Noise and Vibration hazards
 
Introduction to HSE
Introduction to HSEIntroduction to HSE
Introduction to HSE
 
Construction hazards and_safety_by_isti
Construction hazards and_safety_by_istiConstruction hazards and_safety_by_isti
Construction hazards and_safety_by_isti
 
HEALT & SAFETY IN THE OIL & GAS INDUSTRY
HEALT & SAFETY IN THE OIL & GAS INDUSTRYHEALT & SAFETY IN THE OIL & GAS INDUSTRY
HEALT & SAFETY IN THE OIL & GAS INDUSTRY
 
Event tree analysis and risk assessment
Event tree analysis and risk assessmentEvent tree analysis and risk assessment
Event tree analysis and risk assessment
 
Hazard identification
Hazard identificationHazard identification
Hazard identification
 
Industrial safety final
Industrial safety finalIndustrial safety final
Industrial safety final
 
Safety (1)
Safety (1)Safety (1)
Safety (1)
 

Similar to Unit 9 hygiene calculations sampling issues compliance

Method Development and Validation : Laser diffraction particle size analyzer ...
Method Development and Validation : Laser diffraction particle size analyzer ...Method Development and Validation : Laser diffraction particle size analyzer ...
Method Development and Validation : Laser diffraction particle size analyzer ...Md. Saddam Nawaz
 
2 lab qaqc-fall2013
2 lab qaqc-fall20132 lab qaqc-fall2013
2 lab qaqc-fall2013TAMUK
 
Errors-Analysis-MNN-RN.pptx
Errors-Analysis-MNN-RN.pptxErrors-Analysis-MNN-RN.pptx
Errors-Analysis-MNN-RN.pptxRishabhNath3
 
Calculating Uncertainties
Calculating UncertaintiesCalculating Uncertainties
Calculating Uncertaintiesmrjdfield
 
Data analysis ( Bio-statistic )
Data analysis ( Bio-statistic )Data analysis ( Bio-statistic )
Data analysis ( Bio-statistic )Amany Elsayed
 
Introduction to analysis- Pharmaceutical Analysis
Introduction to analysis- Pharmaceutical AnalysisIntroduction to analysis- Pharmaceutical Analysis
Introduction to analysis- Pharmaceutical AnalysisSanchit Dhankhar
 
Practical Work In Biology
Practical Work In BiologyPractical Work In Biology
Practical Work In BiologyGerryC
 
study metarial-DOE-13-12 (1).pptx
study metarial-DOE-13-12 (1).pptxstudy metarial-DOE-13-12 (1).pptx
study metarial-DOE-13-12 (1).pptxParthaPratimPal12
 
Errors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptx
Errors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptxErrors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptx
Errors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptxsppatel44435
 
Uncertainties & Error.ppt
Uncertainties & Error.pptUncertainties & Error.ppt
Uncertainties & Error.pptKhalil Alhatab
 
Quality assurance part_2
Quality assurance part_2Quality assurance part_2
Quality assurance part_2ThorikulHuda2
 
Chap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc HkChap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc Hkajithsrc
 
Application of microbiological data
Application of microbiological dataApplication of microbiological data
Application of microbiological dataTim Sandle, Ph.D.
 
Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...
Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...
Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...Randox
 
Introduction to Analytical Analysis Instrumentation
Introduction to Analytical Analysis InstrumentationIntroduction to Analytical Analysis Instrumentation
Introduction to Analytical Analysis InstrumentationM.T.H Group
 
Lecture 1 - System of Measurements, SI Units
Lecture 1 - System of Measurements, SI UnitsLecture 1 - System of Measurements, SI Units
Lecture 1 - System of Measurements, SI UnitsMarjorieJeanAnog
 

Similar to Unit 9 hygiene calculations sampling issues compliance (20)

Method Development and Validation : Laser diffraction particle size analyzer ...
Method Development and Validation : Laser diffraction particle size analyzer ...Method Development and Validation : Laser diffraction particle size analyzer ...
Method Development and Validation : Laser diffraction particle size analyzer ...
 
2 lab qaqc-fall2013
2 lab qaqc-fall20132 lab qaqc-fall2013
2 lab qaqc-fall2013
 
Errors-Analysis-MNN-RN.pptx
Errors-Analysis-MNN-RN.pptxErrors-Analysis-MNN-RN.pptx
Errors-Analysis-MNN-RN.pptx
 
Analytical control strategy 3
Analytical control strategy 3Analytical control strategy 3
Analytical control strategy 3
 
Calculating Uncertainties
Calculating UncertaintiesCalculating Uncertainties
Calculating Uncertainties
 
Tests of significance
Tests of significance  Tests of significance
Tests of significance
 
Data analysis ( Bio-statistic )
Data analysis ( Bio-statistic )Data analysis ( Bio-statistic )
Data analysis ( Bio-statistic )
 
Introduction to analysis- Pharmaceutical Analysis
Introduction to analysis- Pharmaceutical AnalysisIntroduction to analysis- Pharmaceutical Analysis
Introduction to analysis- Pharmaceutical Analysis
 
Practical Work In Biology
Practical Work In BiologyPractical Work In Biology
Practical Work In Biology
 
Representative sampling
Representative samplingRepresentative sampling
Representative sampling
 
study metarial-DOE-13-12 (1).pptx
study metarial-DOE-13-12 (1).pptxstudy metarial-DOE-13-12 (1).pptx
study metarial-DOE-13-12 (1).pptx
 
Errors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptx
Errors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptxErrors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptx
Errors in Chemistry ANALYTICAL CHEMISTRY (Errors in Chemical Analysis).pptx
 
Uncertainties & Error.ppt
Uncertainties & Error.pptUncertainties & Error.ppt
Uncertainties & Error.ppt
 
Quality assurance part_2
Quality assurance part_2Quality assurance part_2
Quality assurance part_2
 
Errors.pptx
Errors.pptxErrors.pptx
Errors.pptx
 
Chap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc HkChap 9 A Process Capability & Spc Hk
Chap 9 A Process Capability & Spc Hk
 
Application of microbiological data
Application of microbiological dataApplication of microbiological data
Application of microbiological data
 
Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...
Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...
Basic QC Statistics - Improving Laboratory Performance Through Quality Contro...
 
Introduction to Analytical Analysis Instrumentation
Introduction to Analytical Analysis InstrumentationIntroduction to Analytical Analysis Instrumentation
Introduction to Analytical Analysis Instrumentation
 
Lecture 1 - System of Measurements, SI Units
Lecture 1 - System of Measurements, SI UnitsLecture 1 - System of Measurements, SI Units
Lecture 1 - System of Measurements, SI Units
 

More from University of Victoria - Distance Education Services

More from University of Victoria - Distance Education Services (20)

The one pageproposal-revisedfordl
The one pageproposal-revisedfordlThe one pageproposal-revisedfordl
The one pageproposal-revisedfordl
 
Unit 9 introduction to ih stat
Unit 9 introduction to ih statUnit 9 introduction to ih stat
Unit 9 introduction to ih stat
 
Unit 6 - Physical Hazards
Unit 6 - Physical HazardsUnit 6 - Physical Hazards
Unit 6 - Physical Hazards
 
Unit 5-calculation-example
Unit 5-calculation-exampleUnit 5-calculation-example
Unit 5-calculation-example
 
Unit 6-physical-hazards-2
Unit 6-physical-hazards-2Unit 6-physical-hazards-2
Unit 6-physical-hazards-2
 
Unit 3-calculations
Unit 3-calculationsUnit 3-calculations
Unit 3-calculations
 
Unit 2-industrial-toxicology
Unit 2-industrial-toxicologyUnit 2-industrial-toxicology
Unit 2-industrial-toxicology
 
HPEO 403 Unit 1 Presentation 2
HPEO 403 Unit 1 Presentation 2HPEO 403 Unit 1 Presentation 2
HPEO 403 Unit 1 Presentation 2
 
HPEO 403 Unit 2
HPEO 403 Unit 2HPEO 403 Unit 2
HPEO 403 Unit 2
 
HPEO 408 Unit 1 Presentation 2
HPEO 408 Unit 1 Presentation 2HPEO 408 Unit 1 Presentation 2
HPEO 408 Unit 1 Presentation 2
 
HPEO 408 Unit 1 Presentation 1
HPEO 408 Unit 1 Presentation 1HPEO 408 Unit 1 Presentation 1
HPEO 408 Unit 1 Presentation 1
 
HPEO 403 RMP (Part A)
HPEO 403 RMP (Part A)HPEO 403 RMP (Part A)
HPEO 403 RMP (Part A)
 
HPEO 403 Unit 1
HPEO 403 Unit 1HPEO 403 Unit 1
HPEO 403 Unit 1
 
HPPR404 Unit 10
HPPR404 Unit 10HPPR404 Unit 10
HPPR404 Unit 10
 
UVic MACD Orientation | Welcome to the Program
UVic MACD Orientation | Welcome to the ProgramUVic MACD Orientation | Welcome to the Program
UVic MACD Orientation | Welcome to the Program
 
HPPR404 Unit8
HPPR404 Unit8HPPR404 Unit8
HPPR404 Unit8
 
HPPR404 Unit7
HPPR404 Unit7HPPR404 Unit7
HPPR404 Unit7
 
HPPR404 Unit 5
HPPR404 Unit 5HPPR404 Unit 5
HPPR404 Unit 5
 
UVic School of Public Administration - Student Groups
UVic School of Public Administration - Student GroupsUVic School of Public Administration - Student Groups
UVic School of Public Administration - Student Groups
 
Hand and Power Tools General Safety Lecture 22
Hand and Power Tools General Safety Lecture 22Hand and Power Tools General Safety Lecture 22
Hand and Power Tools General Safety Lecture 22
 

Recently uploaded

Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 

Unit 9 hygiene calculations sampling issues compliance

  • 1. Unit 9Supplementary hygiene Sampling and compliance information
  • 2. Basic description of variables used in hygiene calculations and sampling considerations
  • 3. Flow rate is the rate of which air is being pulled through the sampling device Typically reported as liters/min (l/min) Calculate average between pre and post calibration measures 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒=(𝑝𝑟𝑒 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒+𝑝𝑜𝑠𝑡 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒)2 NOTE on calibration: Pre and post measurements must be within 10% or sample is invalid and should be thrown out If >5% but <10%, sample may be considered with caution   Flow Rate
  • 4. Sample duration is the total length of time the sample was collected Typically this is reported in minutes (min) but can also be reported in seconds, hours, days, or weeks During measurement record the (1) start time and date when sampling begun, (2) the end time and date when sampling ceased Take the difference to calculate duration 𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛= 𝑒𝑛𝑑 𝑡𝑖𝑚𝑒 −𝑠𝑡𝑎𝑟𝑡 𝑡𝑖𝑚𝑒   Sample duration
  • 5. The volume collected can be determined by using the sample flow rate and sample duration 𝑣𝑜𝑙𝑢𝑚𝑒=𝑓𝑙𝑜𝑤 𝑟𝑎𝑡𝑒 ∗𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛 𝑣𝑜𝑙𝑢𝑚𝑒 𝑙𝑖𝑡𝑒𝑟𝑠=𝑙𝑖𝑡𝑒𝑟𝑠𝑚𝑖𝑛𝑢𝑡𝑒∗𝑚𝑖𝑛𝑢𝑡𝑒𝑠 𝑣𝑜𝑙𝑢𝑚𝑒 𝑙𝑖𝑡𝑒𝑟𝑠=𝑙𝑖𝑡𝑒𝑟𝑠𝑚𝑖𝑛𝑢𝑡𝑒∗𝑚𝑖𝑛𝑢𝑡𝑒𝑠 NOTE: Volume will most likely need to be converted to m3, which can be done either before entering into concentration equation or after   Volume Collected If we multiply the flow rate by duration we can see that we cancel out minutes and are left with liters
  • 6. For most analytical methods we will be provided with a mass value from the analytical laboratory that conducted the analysis of the samples The units will depend on the measurement method Common unit values would include: grams (g) milligrams (mg) micrograms (µg) nanograms (ng) Mass of substance
  • 7. Concentration of a substance is calculated using the volume collected (previously calculated) and the mass reported by the laboratory 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑎𝑠𝑠𝑣𝑜𝑙𝑢𝑚𝑒=𝑚𝑔𝑙𝑖𝑡𝑒𝑟 Incorporating flow-rate formula we get an overall formula: 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑎𝑠𝑠𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒∗𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛=𝑚𝑔𝑙𝑖𝑡𝑒𝑟𝑠𝑚𝑖𝑛𝑢𝑡𝑒∗𝑚𝑖𝑛𝑢𝑡𝑒𝑠   Concentration
  • 8. Sample calculation (step 1: Calculate sample duration/flow rate) 𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛= 𝑒𝑛𝑑 𝑡𝑖𝑚𝑒 −𝑠𝑡𝑎𝑟𝑡 𝑡𝑖𝑚𝑒 = (4:20 pm – 8:02 am) = (16:20 – 8:02) = 8 hours + 18 min = 480 min + 18 min = 498 minutes   Where, 8 hours * (60 min/hour) = 480 min
  • 9. Sample calculation (step 1: Calculate sample duration/flow rate) 𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 = (1.998 l/min + 1.967 l/min) 2 = (3.965 l/min) / 2 = 1.982 l/min   𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒=(𝑝𝑟𝑒 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒+𝑝𝑜𝑠𝑡 𝑓𝑙𝑜𝑤𝑟𝑎𝑡𝑒)2  
  • 10. 𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 Take smaller flow rate and multiply by 10%/5%: 1.967 l/min * 0.1 = 0.197 l/min Check to ensure other flow rate is within 10% 1.967 l/min + 0.197 l/min = 2.164 l/min (OK) Check flow rate within 5% 1.967 l/min * 0.05 = 0.098 l/min + 1.967 l/min = 2.065 l/min (OK)   Sample calculation (step 2: Check flow rates within 10 & 5 %)
  • 11. Pre and post flow rates for samples 2001 and 2053 are within 5% of each other  Valid Samples Pre and post flow rates for sample 2051 are not within 10% of each other  invalid sample (Throw out) Sample calculation (step 2: Check flow rates within 10 & 5 %)
  • 12. 𝑬𝒙𝒂𝒎𝒑𝒍𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑰𝒅 𝟐𝟎𝟎𝟏 𝑣𝑜𝑙𝑢𝑚𝑒=𝑓𝑙𝑜𝑤 𝑟𝑎𝑡𝑒 ∗𝑑𝑢𝑟𝑎𝑡𝑖𝑜𝑛 = (1.982 l/min * 498 min) = (1.982 l/min * 498 min) = 987 liters Convert to m3 = 987 liters * (1 m3/1000 l) = 0.987 m3   Sample calculation (step 3: Calculate volume m3)
  • 14. *Na = Not applicable Sample calculation (Final concentrations)
  • 16. Field blanks are samples that are sent out during sampling that are opened and closed without pulling air through them What is the purpose of field blanks? To test for contamination of samples during transportation, handling, and storage How many field blanks should you use? It depends but recommended practice is 10% of your number of samples Do we have to analyze the samples? YES you must! Best practice Field blanks
  • 17. What do you do if mass is reported on field blanks? Throw the samples out for that sampling period Good option if contamination is limited to small number of samples or if contamination levels were high Adjust for the contamination Acceptable if contamination levels are not too high If small batch is contaminated we can adjust only those samples from the contaminated batch by the field blank value If contamination is on multiple blanks during a sampling project we can adjust for each batch or we can apply an adjustment to all samples using average field blank value Ignore contamination and include all samples It is recommended not to use this option  bad practice How to treat Field blank results
  • 18. Common Reasons people do not take Field blanks Don’t know they should Many people taking hygiene samples lack training on proper sampling collection procedures and best practices Don’t want to risk having to throw out samples Perceived risk of job Can be regarded as throwing money away in eyes of management Risk of reputation viewed as doing “bad job”/inadequate performance Feel like all the work was done for nothing  not completing tasks Budget restraints Often budgets for hygiene sampling is very limited and people do not want to allocate a significant proportion (~10%) to “blanks”
  • 19. What does it mean if we find contamination in our blanks? We may potentially have contamination in our samples Our reported results may be higher than the actual exposure levels By having blanks we are aware of contamination and can adjust accordingly What does it mean if we had contamination and do not know (i.e. we don’t have field blanks) We can overestimate exposures May lead to: Additional sampling (probably more costly than including 10% blanks) Implementation of potentially unnecessary controls (very costly) Workers’ compensation orders for non-compliance In summary, field blanks: Increases our confidence in our measurements Saves time and money How to ‘sell’ field blanks
  • 21. What is LOD? LOD stands for the Limit Of Detection This is the lowest level (e.g. concentration) measureable by an analytical method or sampling device Why is this important Measurements under the LOD do not give us much information on the hazard but they cannot be ignored/omitted from analysis or the discussion of results Having multiple LOD measurements often results in skewed or lognormal data distributions They can be difficult to deal with and interpret LOD Definition
  • 22. Several methods have been proposed, most important thing to remember is you cannot omit them from determining the average concentrations. Two most commonly used: Method 1 Multiply the LOD by 0.5 (i.e. LOD/2) for each data point that was <LOD For example if the LOD reported is 2 ppm then you would input (2ppm*0.5 = 1ppm) Only use when the data are highly skewed (GSD approximately 3.0 or greater) Method 2 Multiply the LOD by 0.707 (i.e. LOD/√2) for each data point that was <LOD For example if the LOD reported is 2 ppm then you would input (2ppm*0.707 = 1.4 ppm) Use when data not highly skewed Methods to deal with <lod measurements
  • 24. Now that we have conducted sampling how do we determine if we are compliant with the regulations? Do we compare each reading/sample with limits? Do we calculate the % of samples over the limits? Do we compare the average of the readings/samples with the limits? Although these methods are commonly used compliance is a bit more complex and methods for determining compliance are under debate For this class we are going to review a method frequently used and accepted in North America using confidence limits For this topic please recall readings from last week that covered confidence limits and determination of compliance (pg. 510-512 of text) and also readings from this week (pg. 516-517) Determining compliance
  • 25. The first step to determine compliance is to calculate the upper and lower confidence limits of the mean Why do we do this? When we take samples we introduce uncertainty/error into our measurement This comes from error in our measurement, instruments, and analysis This means the measurement we take is not the “true” value of the exposure The true value is the measured exposure +/- error Calculating confidence limits (or the confidence interval) allows us to account for some of the error/uncertainty in our measurements Determining compliance using confidence limits
  • 26. Confidence limits are limits placed around the mean (i.e. average) that represents the amount of uncertainty in our samples The confidence limits include an upper and a lower bound estimate: LCL = lower confidence limit, the lower bound limit UCL = upper confidence limit, the upper bound limit This interval (upper confidence limit ↔ lower confidence limit) specifies the range of values in which the true exposure mean may lie at a specified confidence level (95% most common) More narrow the interval, the more precise our measurements are More wide the interval, the less precise our measurements are Confidence limits
  • 27. The confidence limit method used to determine compliance compares the mean, upper and lower confidence limits to the exposure limit If the upper confidence limit is below the exposure limit we can say that we are complaint “on average” If the lower confidence limit is above the exposure limit we can say that we are not compliant “on average” If the lower and upper confidence limit crosses the exposure limit it is unclear if we are compliant or not and require further testing Using confidence limits to determine compliance The next slide graphically displays the concept where: Upper Confidence Limit Mean Lower Confidence Limit
  • 28. Compliance chart Exposure Limit Concentration Compliant Possibly non-compliant Non-Compliant