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

OSHA- Respiratory Protection
OSHA- Respiratory ProtectionOSHA- Respiratory Protection
OSHA- Respiratory Protection
Jo Woolery
 
Lecture 1 work study according to amravati university syllabus
Lecture 1 work study according to amravati university syllabus Lecture 1 work study according to amravati university syllabus
Lecture 1 work study according to amravati university syllabus
rahulmeshram14
 
Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.
Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.
Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.
Atlantic Training, LLC.
 
Noise Prevention In Factories-Approved
Noise Prevention In Factories-ApprovedNoise Prevention In Factories-Approved
Noise Prevention In Factories-Approved
Gan Chun Chet
 
OSHA Occupational Noise Training by San Diego State University
OSHA Occupational Noise Training by San Diego State UniversityOSHA Occupational Noise Training by San Diego State University
OSHA Occupational Noise Training by San Diego State University
Atlantic Training, LLC.
 

What's hot (20)

Estres termico calor
Estres termico calorEstres termico calor
Estres termico calor
 
OSHA- Respiratory Protection
OSHA- Respiratory ProtectionOSHA- Respiratory Protection
OSHA- Respiratory Protection
 
Heat stress
Heat stressHeat stress
Heat stress
 
Work measurement
Work measurementWork measurement
Work measurement
 
nebosh Igc1 element 4
nebosh Igc1 element 4nebosh Igc1 element 4
nebosh Igc1 element 4
 
Chapter 4 Occupational Hazards, Industrial Safety and Health Issues(FASS)
Chapter 4 Occupational Hazards, Industrial Safety and Health Issues(FASS)Chapter 4 Occupational Hazards, Industrial Safety and Health Issues(FASS)
Chapter 4 Occupational Hazards, Industrial Safety and Health Issues(FASS)
 
Occupational hazards
Occupational hazardsOccupational hazards
Occupational hazards
 
11 occupational hygiene monitoring of dust
11 occupational hygiene monitoring of dust11 occupational hygiene monitoring of dust
11 occupational hygiene monitoring of dust
 
Hazard in the workplace ar 2
Hazard in the workplace ar 2Hazard in the workplace ar 2
Hazard in the workplace ar 2
 
Job hazard analysis (JHA): 22 questions to ask
Job hazard analysis (JHA): 22 questions to askJob hazard analysis (JHA): 22 questions to ask
Job hazard analysis (JHA): 22 questions to ask
 
Lecture 1 work study according to amravati university syllabus
Lecture 1 work study according to amravati university syllabus Lecture 1 work study according to amravati university syllabus
Lecture 1 work study according to amravati university syllabus
 
Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.
Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.
Hydrogen Sulfide Gas Training by Canada & Associates Safety Training, LLC.
 
04 costos accidentes
04 costos accidentes04 costos accidentes
04 costos accidentes
 
Noise Prevention In Factories-Approved
Noise Prevention In Factories-ApprovedNoise Prevention In Factories-Approved
Noise Prevention In Factories-Approved
 
Mapas conceptuales.salud ocupacional
Mapas conceptuales.salud ocupacionalMapas conceptuales.salud ocupacional
Mapas conceptuales.salud ocupacional
 
H2s
H2sH2s
H2s
 
Control of Substances Hazardous to Health
Control of Substances Hazardous to HealthControl of Substances Hazardous to Health
Control of Substances Hazardous to Health
 
Hazard Communication Training by LAUSD
Hazard Communication Training by LAUSDHazard Communication Training by LAUSD
Hazard Communication Training by LAUSD
 
OSHA Occupational Noise Training by San Diego State University
OSHA Occupational Noise Training by San Diego State UniversityOSHA Occupational Noise Training by San Diego State University
OSHA Occupational Noise Training by San Diego State University
 
Ambientes térmicos
Ambientes térmicosAmbientes térmicos
Ambientes térmicos
 

Similar to Unit 9 hygiene calculations sampling issues compliance

Introduction to analysis- Pharmaceutical Analysis
Introduction to analysis- Pharmaceutical AnalysisIntroduction to analysis- Pharmaceutical Analysis
Introduction to analysis- Pharmaceutical Analysis
Sanchit Dhankhar
 
Practical Work In Biology
Practical Work In BiologyPractical Work In Biology
Practical Work In Biology
GerryC
 
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
ajithsrc
 

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 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
 
Lecture 13 Workstation Design
Lecture 13 Workstation DesignLecture 13 Workstation Design
Lecture 13 Workstation Design
 

Recently uploaded

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Recently uploaded (20)

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 

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