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Since the first edition in 1948, Patty's Industrial Hygiene and Toxicology has become a flagship publication for Wiley. During its nearly seven decades in print, it has become a standard reference for the fields of occupational health and toxicology. The volumes on industrial hygiene are cornerstone reference works for not only industrial hygienists but also chemists, engineers, toxicologists, lawyers, and occupational safety personnel. Volume 2 covers Chemical Exposure Evaluation and Control. Along with the updated and revised chapters from the prior edition, this volume has two new chapters: Sensor Technology and Control Banding.

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Table of Contents

Cover

Title Page

Copyright

Contributors

PREFACE

USEFUL EQUIVALENTS AND CONVERSION FACTORS

Part III: CHEMICAL EXPOSURE EVALUATION

BIOLOGICAL MONITORING OF EXPOSURE TO INDUSTRIAL CHEMICALS

1 INTRODUCTION

2 OCCUPATIONAL EXPOSURE ASSESSMENT

3 BIOLOGICAL MONITORING STRATEGY

4 BIOLOGICAL MONITORING PRACTICAL APPROACH

5 BIOLOGICAL MONITORING FOR METALS AND INORGANIC COMPOUNDS

6 BIOLOGICAL MONITORING OF ORGANIC COMPOUNDS

7 BIOLOGICAL MONITORING OF EXPOSURES TO MIXTURES

8 TRENDS AND CONCLUSIONS

Bibliography

REAL‐TIME ASSESSMENT OF AIR CONTAMINANTS USING VIDEO EXPOSURE MONITORING (VEM) METHODS AND TECHNIQUES

1 INTRODUCTION

2 OCCUPATIONAL EXPOSURE

3 DESCRIPTION OF OCCUPATIONAL VIDEO EXPOSURE MONITORING

4 SELECTED DIRECT‐READING INSTRUMENTS

5 WIRELESS DATA COMMUNICATIONS

6 VIDEO EQUIPMENT

7 RASPBERRY P – DISRUPTOR INNOVATION FOR VEM

8 MIXING SOFTWARE/INSTRUMENT

9 DATA INTERPRETATION

10 DISCUSSION

11 FOUR CASE STUDIES

12 SUMMARY

13 FUTURE APPLICATIONS OF VEM

ACKNOWLEDGMENT

Bibliography

COMPUTED TOMOGRAPHY IN INDUSTRIAL HYGIENE

1 INTRODUCTION

2 DESIGNING COMPUTED TOMOGRAPHY SYSTEMS

3 CT ALGORITHMS FOR THE INDUSTRIAL HYGIENE APPLICATION

4 SIMULATION STUDIES OF RECONSTRUCTION ALGORITHMS

5 ORS GEOMETRIES FOR CT IMAGING OF CHEMICALS IN AIR

6 FIELD STUDIES

7 BACKGROUND OPTICAL REMOTE SENSING INSTRUMENTATION

8 CHALLENGES AND FUTURE DIRECTIONS

ACKNOWLEDGMENTS

Bibliography

MATHEMATICAL MODELING OF INDOOR AIR CONTAMINANT CONCENTRATIONS

1 INTRODUCTION

2 CHEMICAL EMISSION RATE FUNCTIONS

3 DISPERSION PATTERNS AND WORKER (RECEPTOR) LOCATION

4 SPECIFIC MODELS

5 THE MARKOV CHAIN METHOD

6 MODELING TURBULENT EDDY DIFFUSION AND ADVECTION

7 IMPLEMENTATION OF MATHEMATICAL MODELS IN MICROSOFT EXCEL

8 MODEL VALIDATION

9 ADDITIONAL MODELS AND RESOURCES

10 MODEL SELECTION

Bibliography

SENSORS

1 INTRODUCTION

2 PARTICULATE MATTER (PM) SENSORS

3 GAS SENSORS

4 PHYSICAL AGENTS

5 APPROACHES FOR SENSOR USE

6 CONCLUSIONS AND OPPORTUNITIES FOR FUTURE DEVELOPMENTS

References

Part IV: CHEMICAL EXPOSURE CONTROL

CHARACTERIZING AIR CONTAMINANT EMISSION SOURCES

1 THE EMISSION INVENTORY

2 ELEMENTS OF THE EMISSION INVENTORY

3 QUANTIFYING EMISSIONS

4 EMISSION ESTIMATES FROM PLANT AND COMPANY RECORDS AND REPORTS

5 USE OF THE EMISSION INVENTORY

Bibliography

ENGINEERING CONTROL OF AIRBORNE CONTAMINANTS: HISTORY, PHILOSOPHY, AND THE DEVELOPMENT OF PRIMARY APPROACHES

1 INTRODUCTION

2 ENGINEERING CONTROL TYPES

3 ENGINEERING CONTROL STRATEGIES

4 STANDARDS AND GUIDELINES

Bibliography

INDUSTRIAL VENTILATION

1 INTRODUCTION

2 FUNDAMENTAL DEFINITIONS AND PHYSICAL RELATIONSHIPS

3 LOCAL EXHAUST VENTILATION

4 FACTORS INFLUENCING THE DESIGN OF NEW LEV SYSTEMS

5 DILUTION VENTILATION

6 TESTING AND MONITORING

7 MAKEUP AIR AND RECIRCULATION OF EXHAUST AIR

References

Further Reading

RESPIRATORY PROTECTIVE EQUIPMENT

1 HISTORICAL REVIEW

2 RESPIRATOR PERFORMANCE

3 RESPIRATOR CLASSIFICATION

4 RESPIRATOR SELECTION AND USE

ACKNOWLEDGMENTS

Bibliography

CHEMICAL PROTECTIVE CLOTHING

1 INTRODUCTION

2 BARRIERS USED IN CHEMICAL PROTECTIVE CLOTHING

3 CHEMICALS USED FOR EVALUATING CHEMICAL PROTECTIVE CLOTHING

4 CLASSIFICATION FOR CHEMICALS

5 STANDARDS FOR CHEMICAL PROTECTIVE CLOTHING

GLOSSARY

CONTROL BANDING: BACKGROUND, EVOLUTION, AND APPLICATION

1 INTRODUCTION

2 PART I: ESTABLISHING THE BASIS FOR CONTROL BANDING APPROACHES

3 PART II: HISTORY AND EVOLUTION OF CONTROL BANDING

4 PART III: VALIDATION AND VERIFICATION OF CB STRATEGIES

5 PART IV: CB EVALUATION AND THE INTERNATIONAL EXPERIENCE

6 PART V: PRACTICAL EXAMPLES OF CB APPLICATION FOR THE NEW IH

7 PART VI: DISCUSSION

8 PART VII: SUMMARY, CONCLUSIONS, AND RECOMMENDATIONS

ACKNOWLEDGMENTS

Bibliography

OCCUPATIONAL SAFETY AND HEALTH LAW

1 INTRODUCTION TO THE FEDERAL OCCUPATIONAL SAFETY AND HEALTH ACT

2 OCCUPATIONAL SAFETY AND HEALTH STANDARDS DEVELOPMENT

3 EMPLOYER DUTIES UNDER THE OSH ACT

4 CHALLENGING A STANDARD AFTER PROMULGATION

5 ENFORCEMENT OF THE OSH ACT

6 CONTESTATION PROCEEDINGS

7 RIGHTS OF EMPLOYEES AND THEIR REPRESENTATIVES UNDER THE OSH ACT

8 VOLUNTARY COMPLIANCE PROGRAMS

9 REGULATION OF OCCUPATIONAL SAFETY AND HEALTH BY THE STATES

10 REGULATION OF OCCUPATIONAL SAFETY AND HEALTH BY OTHER FEDERAL STATUTES

11 FUTURE OF OCCUPATIONAL SAFETY AND HEALTH LAW

ENDNOTES

Bibliography

Index

End User License Agreement

List of Tables

Chapter 2

TABLE 1 Summary of descriptive statistics for each study phase of nitrous oxide ...

TABLE 2 Summary of the results of radiation exposure to the hands in two trials ...

TABLE 3 Observations of ergonomic risk factors.

TABLE 4 Ergonomic findings and recommendations.

Chapter 7

TABLE 2 Specialists participating in risk assessment of new chemical manufact...

TABLE 3 Environmental control approaches.

TABLE 4 Examples of material replacement from EPA WRITE program.

TABLE 5 Step model for the substitution process.

TABLE 6 Categories for a corporate toxic use reduction program.

TABLE 7 Characteristics of historic generic solvent categories.

TABLE 8 Dust‐controlled forms of rubber production chemicals: comparative per...

TABLE 9 Task‐oriented air sampling.

TABLE 10 Examples of process change technology from EPA WRITE program.

Chapter 8

TABLE 2 Major industrial activities covered by OSHA standards which include v...

TABLE 3 Ventilation control hierarchy.

TABLE 4 Application of local exhaust and general exhaust ventilation.

Chapter 9

TABLE 2 Assigned protection factors.

a

TABLE 3 Description of filter classes and key test parameter for filters cert...

TABLE 4 Bench test requirements for NIOSH‐certified gas and vapor cartridges ...

TABLE 5 Selection options for escape respirators.

Chapter 10

TABLE 2 Chemical protective clothing.a

TABLE 3 Chemicals for evaluating of chemical protective clothing according to...

TABLE 4 Barrier materials and manufacturers. Selection recommendations for ch...

TABLE 5 Chemical classes and subclasses.

Chapter 11

TABLE 2 Selected criteria for assignment of dust to OEBs.

TABLE 3 Occupational exposure bands.

TABLE 4 Allocation of R‐phrases and H‐statements to hazard bands.

List of Illustrations

Chapter 1

FIGURE 7 Absorption, distribution, metabolism, and elimination (ADME) of che...

Chapter 2

FIGURE 1 (a) Screen shot of drum scooping task: drum is full of powder at th...

FIGURE 2 Work tasks: scooping, weighing, turning (to put filled bag in recei...

FIGURE 3 (a) Based on VEM results showing scooping task after bag 30 signifi...

FIGURE 4 Workplace exposure factors. A: Task‐related exposures, B: incidenta...

FIGURE 5 Schema of occupational video exposure monitoring.

FIGURE 6 Radio telemetry diagram.

FIGURE 7 PIMEX–PC computer interface.

FIGURE 8 FINN–PIMEX computer interface.

FIGURE 9 PIMEX–HSL computer interface.

FIGURE 10 MVTA computer interface.

FIGURE 11 Screenshot of NIOSH EVADE website showing video and sensor data du...

FIGURE 12 Process tank with sealed manway.

FIGURE 13 Ventilated manway charging adapter.

FIGURE 14 Diagram of ventilated manway adapter retrofit (postcontrol).

FIGURE 15 System 1 (Safe Sedate Dental Nasal Mask™).

FIGURE 16 Typical setup for System 1.

FIGURE 17 System 2 (PORTER™) design.

FIGURE 18 Example of camera setup.

FIGURE 19 Typical image of nitrous oxide (shown by circles) from infrared ca...

FIGURE 20 Typical equipment found in a nuclear pharmacy lab: L‐block. Vials ...

FIGURE 21 Advanced extremity gamma instrumentation system. (a) Computer wi...

FIGURE 22 Cumulative dose for two students: Trial 1: Student 1 of height ∼ 6...

FIGURE 23 Instantaneous dose rate in μSv/h for shorter individual (∼64 in....

FIGURE 24 Instantaneous dose rate in μSv/h for taller individual (∼72 in.)...

FIGURE 25 Raspberry Pi with touchscreen. Front view –software opening VEM pr...

FIGURE 26 Raspberry Pi with touchscreen set for recording video and sensor...

FIGURE 27 VEM set up for video, sensor, and heart rate collection using the ...

FIGURE 28 VEM set up for video, sensor, and heart rate collection using the ...

FIGURE 29 Screenshot of VEM playback program showing heart rate and carbon d...

FIGURE 30 Raspberry Pi zero with carbon dioxide (CO

2

) sensor‐attached DJI dr...

Chapter 3

FIGURE 1 Example of a two‐dimensional concentration map of a chemical at one...

FIGURE 2 An example of a commercial medical CT scanner.

FIGURE 3 The medical CT scanner takes X‐rays, as a fan beam, and then rotate...

FIGURE 4 An environmental CT scanner taking a slice of open‐path measurement...

FIGURE 5 A series of five tomographic concentration maps reconstructed for s...

FIGURE 6 An equal‐angle parallel‐projection geometry. Representation of a 10...

FIGURE 7 Horizontal and vertical planes for using CT to map chemicals in air...

FIGURE 8 Example of time‐series maps showing the movement of contaminants ov...

FIGURE 9 An idealized room is represented by 10 by 10 grid of 100 cells. The...

FIGURE 10 (a) Original test maps with three peaks are shown in the left colu...

FIGURE 11 Each CT geometry is illustrated with a pair of diagrams. The left ...

FIGURE 12 Rapid scanning set‐up in the chamber studies using virtual spectro...

FIGURE 13 (a) Point sample map of the entire 45‐minute period for a single p...

FIGURE 14 Top image is the open‐path FTIR configuration over the swine waste...

FIGURE 15 Three CT concentration maps of ammonia over the waste lagoon. Each...

FIGURE 16 Two configurations of an OP‐FTIR spectrometer. (a) Monostatic spec...

FIGURE 17 Absorption spectrum for ammonia.

FIGURE 18 Schematic of a Michelson interferometer.

Chapter 4

FIGURE 1 Hemispherical near‐field zone centered on an emission source on a t...

FIGURE 2 The well‐mixed room dispersion construct with a constant contaminan...

FIGURE 3 The well‐mixed room dispersion construct with an exponentially decr...

FIGURE 4 The near‐field/far‐field dispersion construct with a constant conta...

FIGURE 5 The near‐field/far‐field dispersion construct with an exponentially...

FIGURE 6 The hemispherical turbulent eddy diffusion dispersion constructs wi...

FIGURE 7 A well‐mixed room with a reversible sink (the hatched area). The fi...

FIGURE 8 The well‐mixed room dispersion constructs with a constant contamina...

FIGURE 9 Implemented in MS Excel, IH Mod 2.0 (36) provides Monte Carlo Simul...

Chapter 5

FIGURE 1 Principles of operation for common light‐scattering PM sensors. (a...

FIGURE 2 Comparison of the (a) average lifetime, (b) selectivity, and (c) a...

FIGURE 3 Schematic of (a) electrochemical (EC) and (b) metal‐oxide‐semicondu...

FIGURE 4 Use strategies for sensors (denoted by the boxed “S”). Top panels d...

Chapter 6

FIGURE 1 Synthesis of potential exposures associated with a manufacturing st...

FIGURE 2 Planned welding operation in a confined space with exhaust hoods.

Chapter 7

FIGURE 1 Contaminant generation, release, and exposure model.

FIGURE 2 Integrated controls on an asbestos insulation fabrication workbench...

FIGURE 3 Impact of replacement technology on a chemical process resulting i...

FIGURE 4 Relative dust exposure during bag dumping as determined by video a...

FIGURE 5 Peak dust exposures identified by video real‐time monitoring. (a) ...

FIGURE 6 Chemical processing facility. Liquid reagents L(A) and L(B) are tra...

FIGURE 7 Manufacture of an electronic cabinet. The operational options for c...

FIGURE 8 Robotic buffing of rubber boots.

FIGURE 9 Manufacture of electrical tape showing the closed bulk transport of...

FIGURE 10 Layout of two gray iron foundries. (a) Foundry is designed for str...

FIGURE 11 Well‐integrated workstation in a foundry. (a) Overall layout of f...

FIGURE 12 Layout of semiconductor facility showing service aisle isolated fr...

Chapter 8

FIGURE 1 Relationships among velocity pressure, static pressure, and total p...

FIGURE 2 Interrelated components of a local exhaust system.

FIGURE 3 Airflow characteristics of blowing and exhausting.

FIGURE 4 Areas of Approach for use in

Q

 = 

VA

.

FIGURE 5 Velocity contours for unflanged circular opening.

FIGURE 6 Typical arrangement for low volume high velocity hood.

FIGURE 7 Simple sketch of local exhaust system.

FIGURE 8 ACGIH‐recommended hood for portable hand grinding.

FIGURE 9 ACGIH‐recommended for welding bench.

FIGURE 10 Representation of ventilation system.

FIGURE 11 Typical friction loss of air in straight duct.

FIGURE 12 Fan and system curve.

FIGURE 13 Typical locations for ventilation measurements: (1) at the face of...

FIGURE 14 Pitot tube used for determining TP, SP, and VP in ductwork.

FIGURE 15 Containment fraction for a hood can be determined in the field us...

Chapter 9

FIGURE 1 Twenty‐five person respirator fit test panels developed by Los Alam...

FIGURE 2 NIOSH respirator fit test panel. NIOSH panel based on face length ...

FIGURE 3 Respirator decision logic.

Chapter 10

FIGURE 1 Permeation.

FIGURE 2 Permeation test.

Chapter 11

FIGURE 1 Factors used in HSE's core model..

FIGURE 2 Control approaches used in COSHH essentials.

FIGURE 3 The hierarchy of OELs.

Guide

Cover Page

Title Page

Copyright

Contributors

Preface

Table of Contents

Begin Reading

Index

WILEY END USER LICENSE AGREEMENT

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Patty's Industrial Hygiene

Seventh Edition

 

Volume 2

Evaluation and Control

 

 

Edited by

BARBARA COHRSSEN MS, CIH, FAIHA, MLSSan Francisco, CA, USA

 

 

 

 

 

 

This edition first published 2021

© 2021 John Wiley & Sons, Inc.

Edition History

John Wiley & Sons, Inc. (6e, 2011)

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Barbara Cohrssen to be identified as the author of the editorial material in this work has been asserted in accordance with law.

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In view of ongoing research, equipment modifications, changes in governmental regulations, and the constant flow of information relating to the use of experimental reagents, equipment, and devices, the reader is urged to review and evaluate the information provided in the package insert or instructions for each chemical, piece of equipment, reagent, or device for, among other things, any changes in the instructions or indication of usage and for added warnings and precautions. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress Cataloging‐in‐Publication Data has been applied for.

978‐1‐119‐79152‐2 (Volume 2, cloth)

978‐1‐119‐43802‐1 (4‐volume Set, cloth)

Cover Image: Factory © Rashad Ashur / Shutterstock, Factory © Arcady / Shutterstock, Rod of Asclepius © Christos Georghiou / Shutterstock, Laboratory glass © Kristyna Henkeova / Shutterstock

Cover Design: Wiley

Contributors

Thomas W. Armstrong, Ph.D., CIH, FAIHA, TWA8HR Occupational Hygiene Consulting, LLC, Branchburg, NJ, USA

Earl W. Arp Jr., Ph.D., CIH, Clemson University, Columbia, SC, USA

William A. Burgess, CIH, Harvard University, Cambridge, MA, USA

D. Jeff Burton, PE, CIH (VS), RMCOEH, University of Utah, Salt Lake City, UT, USA

Sandra S. Cole, Ph.D., Purdue University, West Lafayette, IN, USA

Craig E. Colton, CIH, CCR Consulting, LLC, Stillwater, MN, USA

Krister Forsberg, I.H., Lidingö, Sweden

Silvia Fustinoni, Ph.D., Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy; Environmental and Industrial Toxicology Unit, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy

Robert L. Harris, Ph.D., CIH, University of North Carolina, Chapel Hill, NC, USA

Nancy B. Hopf, Ph.D., Department of Occupational and Environmental Health, Centre for Primary Care and Public Health (Unisanté), School of Biology and Medicine, University of Lausanne, Lausanne, Switzerland

John Howard, National Institute for Occupational Safety and Health, Washington, DC, USA

Dave Huizen, Ph.D., CIH, Grand Valley State University, Grand Rapids, MI, USA

Kirsten Koehler, Johns Hopkins University Bloomberg School of Public Health, Environmental Health and Engineering, Baltimore, MD, USA

James D. McGlothlin, Ph.D., MPH, CPE, FAIHA, Purdue University, West Lafayette, IN, USA

Deborah I. Nelson, Ph.D., CIH, FAIHA, Boulder, CO, USA

Mark Nicas, Ph.D., MPH, CIH, FAIHA, University of California, Berkeley, CA, USA

Steven Smith, National Institute for Occupational Safety and Health, Washington, DC, USA

Robert D. Soule, CIH, Indiana University of Pennsylvania, Indiana, PA, USA

Lori A. Todd, Ph.D., Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC, USA

Elaine West, MS, CIH, Lawrence Livermore National Laboratory, ES&H Directorate, Livermore, CA, USA

Fan Xu, Ph.D., CIH, Purdue University, West Lafayette, IN, USA

David M. Zalk, Ph.D., CIH, FAIHA, Lawrence Livermore National Laboratory, ES&H Directorate, Livermore, CA, USA

Misti L. Zamora, Johns Hopkins University Bloomberg School of Public Health, Environmental Health and Engineering, Baltimore, MD, USA

James P. Zeigler, Ph.D., LLC, Mechanicsville, VA, USA

Christopher Zuidema, Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA

PREFACE

Industrial hygiene is an applied science and a profession. Like other applied sciences such as medicine and engineering, it is founded on basic sciences such as biology, chemistry, mathematics, and physics. In a sense it is a hybrid profession because within its ranks are members of other professions – chemists, engineers, biologists, physicists, physicians, nurses, and lawyers. In their professional practice all are dedicated in one way or another to the purposes of industrial hygiene: the anticipation, recognition, evaluation, and control of work‐related health hazards. The contributors to these volumes come from these professions.

Although the term “industrial hygiene” used to describe our profession is probably of twentieth century origin, we must go further back in history for the origin of its words. The word “industry,” which has a dictionary meaning, “systematic labor for some useful purpose or the creation of something of value,” has its English origin in the fifteenth century. For “hygiene,” we must look even earlier. Hygieia, a daughter of Asclepius who is god of medicine in Greek mythology, was responsible for the preservation of health and prevention of disease. Thus, Hygieia, when she was dealing with people who were engaged in systematic labor for some useful purpose, was practicing our profession, industrial hygiene.

Industrial Hygiene and Toxicology was originated by Frank A. Patty with publication of the first single volume in 1948. In 1958, an updated and expanded second edition was published with his guidance. A second volume, Toxicology, was published in 1963. Frank Patty was a pioneer in industrial hygiene; he was a teacher, practitioner, and manager. In 1946, he served as the eighth president of the American Industrial Hygiene Association. To cap his professional career, he served as director of the Division of Industrial Hygiene for the General Motors Corporation.

At the request of Frank Patty, George and Florence Clayton took over editorship of the ever‐expanding Industrial Hygiene and Toxicology series for the Third Edition of Volume I, General Principles, published in 1978, and Volume II, Toxicology, published in 1981–1982. The First Edition of Volume III, Theory and Rationale of Industrial Hygiene Practice, edited by Lewis and Lester Cralley, was published in 1979, with its second edition published in 1984. The ten‐book, Fourth Edition of Patty's Industrial Hygiene and Toxicology, edited by George and Florence Clayton, was published in 1991–1994, and the Third Edition of Volume III, Theory and Rationale of Industrial Hygiene Practice, edited by Robert Harris, Lewis Cralley, and Lester Cralley, was published in 1994. With the agreement and support of George and Florence Clayton, and Lewis and Lester Cralley, Robert Harris edited the fifth edition of Patty's Industrial Hygiene. Vernon Rose and I edited the sixth edition of Patty's Industrial Hygiene with the permission of Robert Harris.

It is now my privilege and honor to follow them and Frank A. Patty as the editor of the seventh edition of the Industrial Hygiene volumes of Patty's Industrial Hygiene and Toxicology. Each of the four volumes and the chapters in the seventh edition are a “stand alone.” Volume 1 covers Chemical Hazard Recognition, Volume 2 addresses Evaluation and Control of Chemical Hazards, Volume 3 considers aspects of Physical and Biological Agents, and Volume 4 considers Management and Specialty Areas of Practice. In addition, Volume 4 contains a complete index covering all four volumes.

Industrial hygiene has been dealt with very broadly in the past editions of Patty's Industrial Hygiene and Toxicology. Chapters have been offered on sampling and analysis, exposure measurement and interpretation, absorption and elimination of toxic materials, instrument calibration, industrial noise, ionizing and nonionizing radiation, heat and cold stress, pressure, lighting, control of exposures, ergonomics, hazardous wastes, and other vital areas of practice. These traditional areas continue to be covered in this edition. Consistent with the past history of Patty's, new areas of industrial hygiene concerns and practices have been addressed: robotics, sensors, social media, nanomaterials, infectious diseases, dermal effects of chemical exposures, mathematical modeling, control banding, product stewardship, construction health and safety issues, cannabis, new energy production, health care work settings, emergency and disaster response, sustainability, and fire safety.

Although industrial hygiene has been practiced in one guise or another for centuries, the most systematic approaches and the most esoteric accomplishments have been made in the past 50 or 60 years – generally in the years since Frank Patty published his first book. This accelerated progress is due primarily to increased public awareness of occupational health and safety issues and need for environmental control as is evidenced by Occupational Safety and Health, Clean Air, and Clean Water legislation at both federal and state levels.

Industrial hygienists know that variability is the key to the measurement and interpretation of workers' exposures. If exposures did not vary, exposure assessment could be limited to a single measurement, the results of which could be acted upon, and the matter filed away as something of no further concern. We know, however, that exposures change, and change is characteristic of the science and practice of our profession as well. We must be alert to recognize new hazards, we must continue to evaluate new and changing stresses, and we must evaluate performance of exposure controls and from time to time upgrade them. These volumes represent the theory and practice of industrial hygiene as they are understood by their chapter authors at the time of their writing. But, as observed by the Greek philosopher Heracleitus about 2500 years ago, “There is nothing permanent except change.” Improvements and changes in theory and practice of industrial hygiene take place continuously and are generally reported in the professional literature. Industrial hygienists, the practitioners, the teachers, and the managers must stay abreast of the professional literature. Furthermore, when an industrial hygienist develops new knowledge, he/she has what almost amounts to an ethical obligation to share it with others in the profession.

One cannot ponder the rapid changes and advancements made in recent decades in science and technology, and in our own profession as well, without wondering at what the next two or three decades will bring. Developments in computer technology, information processing, and exchange and communications have greatly influenced workplaces and the general conduct of commerce and business in the past one or two decades. It has also changed the way we now practice the purposes of industrial hygiene. These changes have accelerated. The possibility for continuously monitoring and computer storage of exposures of individual workers is a reality. World population continues to increase geometrically and is expected to be about eight billion in the year 2025; with improvements in preventive health care, there will be an increasingly older population. Genetic engineering and highly effective pesticides are already improving yields of agricultural commodities; if all goes well in this area, feeding the expanding human population may not be a limiting factor. Globalization of manufacturing and commerce has reduced manufacturing employment in the United States and in Europe, and expanded opportunities for populations in some developing nations. The United States and other developed nations are on their way to becoming world centers of information and innovation.

How will all of this affect the future practice of industrial hygiene? In the Preface to the fourth edition of Patty's, George and Florence Clayton suggested that the future of industrial hygiene is limited only by the narrowness of vision of its practitioners.

I have relied extensively on the well‐written Preface by Robert Harris, Editor of the fifth edition of Patty's Industrial Hygiene. In it I saw a sweeping, but still succinct, review not only of Patty's publications but also of the practice of industrial hygiene itself. His writing is as timely in 2021 as it was 20 years ago.

Occupational and environmental hygiene professionals must be aware of the changes likely to take place, and to develop strategies to assure the profession's full participation in protecting the health and safety of workers and the environment of both today and tomorrow. Our participation, locally, nationally, and globally, will continue to be greatly needed in the coming years.

Barbara Cohrssen

San Francisco, California

USEFUL EQUIVALENTS AND CONVERSION FACTORS

1 kilometer = 0.6214 mile

1 meter = 3.281 feet

1 centimeter = 0.3937 inch

1 micrometer = 1/25,4000 inch = 40 micro inches = 10,000 Angstrom units

1 foot = 30.48 centimeters

1 inch = 25.40 millimeters

1 square kilometer = 0.3861 square mile (U.S.)

1 square foot = 0.0929 square meter

1 square inch = 6.452 square centimeters

1 square mile (U.S.) = 2,589,998 square meters = 640 acres

1 acre = 43,560 square feet = 4047 square meters

1 cubic meter = 35.315 cubic feet

1 cubic centimeter = 0.0610 cubic inch

1 cubic foot = 28.32 liters = 0.0283 cubic meter = 7.481 gallons (U.S.)

1 cubic inch = 16.39 cubic centimeters

1 U.S. gallon = 3,7853 liters = 231 cubic inches = 0.13368 cubic foot

1 liter = 0.9081 quart (dry), 1.057 quarts (U.S., liquid)

1 cubic foot of water = 62.43 pounds (4°C)

1 U.S. gallon of water = 8.345 pounds (4°C)

1 kilogram = 2.205 pounds

1 gram = 15.43 grains

1 pound = 453.59 grams

1 ounce (avoir.) = 28.35 grams

1 gram mole of a perfect gas 24.45 liters (at 25°C and 760 mm Hg barometric pressure)

1 atmosphere = 14.7 pounds per square inch

1 foot of water pressure = 0.4335 pound per square inch

1 inch of mercury pressure = 0.4912 pound per square inch

1 dyne per square centimeter = 0.0021 pound per square foot

1 gram‐calorie = 0.00397 Btu

1 Btu = 778 foot‐pounds

1 Btu per minute = 12.96 foot‐pounds per second

1 hp = 0.707 Btu per second = 550 foot‐pounds per second

1 centimeter per second = 1.97 feet per minute = 0.0224 mile per hour

1 footcandle = 1 lumen incident per square foot = 10.764 lumens incident per square meter

1 grain per cubic foot = 2.29 grams per cubic meter

1 milligram per cubic meter = 0.000437 grain per cubic foot

To convert degrees Celsius to degrees Fahrenheit: °C (9/5) + 32 = °F

To convert degrees Fahrenheit to degrees Celsius: (5/9) (°F − 32) = °C

For solutes in water: 1 mg/liter 1 ppm (by weight)

Atmospheric contamination: 1 mg/liter 1 oz/1000 cu ft (approx)

For gases or vapors in air at 25°C and 760 mm Hg pressure:

To convert mg/liter to ppm (by volume): mg/liter (24,450/mol. wt.) = ppm

To convert ppm to mg/liter: ppm (mol. wt./24,450) = mg/liter

Factors for conversion of some units

Mg/L × 28.32 = Mg/cubic foot

Mg/L × 1000 = Mg /cubic meter

Mg/cubic foot × 35.314 = Mg/cubic meter

Mg/cubic meter × 0.2832 = Mg/cubic foot

CONVERSION TABLE FOR GASES AND VAPORSa (Milligrams per liter to parts per million, and vice versa;25°C and 760 mm Hg barometric pressure)

Molecular Weight

1 mg/liter ppm

1 ppm mg/liter

Molecular Weight

1 mg/liter ppm

1 ppm mg/liter

Molecular Weight

1 mg/liter ppm

1 ppm mg/liter

1

24,450

0.0000409

39

627

0.001595

 77

318

0.00315

 2

12,230

0.0000818

40

611

0.001636

 78

313

0.00319

 3

8,150

0.0001227

41

596

0.001677

 79

309

0.00323

 4

6,113

0.0001636

42

582

0.001718

 80

306

0.00327

 5

4,890

0.0002045

43

569

0.001759

 81

302

0.00331

 6

4,075

0.0002454

44

556

0.001800

 82

298

0.00335

 7

3,493

0.0002863

45

543

0.001840

 83

295

0.00339

 8

3,056

0.000327 

46

532

0.001881

 84

291

0.00344

 9

2,717

0.000368 

47

520

0.001922

 85

288

0.00348

10

2,445

0.000409 

48

509

0.001963

 86

284

0.00352

11

2,223

0.000450 

49

499

0.002004

 87

281

0.00356

12

2,038

0.000491 

50

489

0.002045

 88

278

0.00360

13

1,881

0.000532 

51

479

0.002086

 89

275

0.00364

14

1,746

0.000573 

52

470

0.002127

 90

272

0.00368

15

1,630

0.000614 

53

461

0.002168

 91

269

0.00372

16

1,528

0.000654 

54

453

0.002209

 92

266

0.00376

17

1,438

0.000695 

55

445

0.002250

 93

263

0.00380

18

1,358

0.000736 

56

437

0.002290

 94

260

0.00384

19

1,287

0.000777 

57

429

0.002331

 95

257

0.00389

20

1,223

0.000818 

58

422

0.002372

 96

255

0.00393

21

1,164

0.000859 

59

414

0.002413

 97

252

0.00397

22

1,111

0.000900 

60

408

0.002554

 98

249.5

0.00401

23

1,063

0.000941 

61

401

0.002495

 99

247.0

0.00405

24

1,019

0.000982 

62

394

0.00254 

100

244.5

0.00409

25

978

0.001022 

63

388

0.00258 

101

242.1

0.00413

26

940

0.001063 

64

382

0.00262 

102

239.7

0.00417

27

906

0.001104 

65

376

0.00266 

103

237.4

0.00421

28

873

0.001145 

66

370

0.00270 

104

235.1

0.00425

29

843

0.001186 

67

365

0.00274 

105

232.9

0.00429

30

815

0.001227 

68

360

0.00278 

106

230.7

0.00434

31

789

0.001268 

69

354

0.00282 

107

228.5

0.00438

32

764

0.001309 

70

349

0.00286 

108

226.4

0.00442

33

741

0.001350 

71

344

0.00290 

109

224.3

0.00446

34

719

0.001391 

72

340

0.00294 

110

222.3

0.00450

35

699

0.001432 

73

335

0.00299 

111

220.3

0.00454

36

679

0.001472 

74

330

0.00303 

112

218.3

0.00458

37

661

0.001513

 75

326

0.00307

113

216.4

0.00462

 38

643

0.001554

 76

322

0.00311

114

214.5

0.00466

115

212.6

0.00470 

153

159.8

0.00626

191

128.0

0.00781

116

210.8

0.00474 

154

158.8

0.00630

192

127.3

0.00785

117

209.0

0.00479 

155

157.7

0.00634

193

126.7

0.00789

118

207.2

0.00483 

156

156.7

0.00638

194

126.0

0.00793

119

205.5

0.00487 

157

155.7

0.00642

195

125.4

0.00798

120

203.8

0.00491 

158

154.7

0.00646

196

124.7

0.00802

121

202.1

0.00495 

159

153.7

0.00650

197

124.1

0.00806

122

200.4

0.00499 

160

152.8

0.00654

198

123.5

0.00810

123

198.8

0.00503 

161

151.9

0.00658

199

122.9

0.00814

124

197.2

0.00507 

162

150.9

0.00663

200

122.3

0.00818

125

195.6

0.00511 

163

150.0

0.00667

201

121.6

0.00822

126

194.0

0.00515 

164

149.1

0.00671

202

121.0

0.00826

127

192.5

0.00519 

165

148.2

0.00675

203

120.4

0.00830

128

191.0

0.00524 

166

147.3

0.00679

204

119.9

0.00834

129

189.5

0.00528 

167

146.4

0.00683

205

119.3

0.00838

130

188.1

0.00532 

168

145.5

0.00687

206

118.7

0.00843

131

186.6

0.00536 

169

144.7

0.00691

207

118.1

0.00847

132

185.2

0.00540 

170

143.8

0.00695

208

117.5

0.00851

133

183.8

0.00544 

171

143.0

0.00699

209

117.0

0.00855

134

182.5

0.00548 

172

142.2

0.00703

210

116.4

0.00859

135

181.1

0.00552 

173

141.3

0.00708

211

115.9

0.00863

136

179.8

0.00556 

174

140.5

0.00712

212

115.3

0.00867

137

178.5

0.00560 

175

139.7

0.00716

213

114.8

0.00871

138

177.2

0.00564 

176

138.9

0.00720

214

114.3

0.00875

139

175.9

0.00569 

177

138.1

0.00724

215

113.7

0.00879

140

174.6

0.00573 

178

137.4

0.00728

216

113.2

0.00883

141

173.4

0.00577 

179

136.6

0.00732

217

112.7

0.00888

142

172.2

0.00581 

180

135.8

0.00736

218

112.2

0.00892

143

171.0

0.00585 

181

135.1

0.00740

219

111.6

0.00896

144

169.8

0.00589 

182

134.3

0.00744

220

111.1

0.00900

145

168.6

0.00593 

183

133.6

0.00748

221

110.6

0.00904

146

167.5

0.00597 

184

132.9

0.00753

222

110.1

0.00908

147

166.3

0.00601 

185

132.2

0.00757

223

109.6

0.00912

148

165.2

0.00605 

186

131.5

0.00761

224

109.2

0.00916

149

164.1

0.00609 

187

130.7

0.00765

225

108.7

0.00920

150

163.0

0.00613 

188

130.1

0.00769

226

108.2

0.00924

151

161.9

0.00618 

189

129.4

0.00773

227

107.7

0.00928

152

160.9

0.00622

190

128.7

0.00777

228

107.2

0.00933

229

106.8

0.00937

253

 96.6

0.01035

277

 88.3

0.01133

230

106.3

0.00941

254

 96.3

0.01039

278

 87.9

0.01137

231

105.8

0.00945

255

 95.9

0.01043

279

 87.6

0.01141

232

105.4

0.00949

256

 95.5

0.01047

280

 87.3

0.01145

233

104.9

0.00953

257

 95.1

0.01051

281

 87.0

0.01149

234

104.5

0.00957

258

 94.8

0.01055

282

 86.7

0.01153

235

104.0

0.00961

259

 94.4

0.01059

283

 86.4

0.01157

236

103.6

0.00965

260

 94.0

0.01063

284

 86.1

0.01162

237

103.2

0.00969

261

 93.7

0.01067

285

 85.8

0.01166

238

102.7

0.00973

262

 93.3

0.01072

286

 85.5

0.01170

239

102.3

0.00978

263

 93.0

0.01076

287

 85.2

0.01174

240

101.9

0.00982

264

 92.6

0.01080

288

 84.9

0.01178

241

101.5

0.00986

265

 92.3

0.01084

289

 84.6

0.01182

242

101.0

0.00990

266

 91.9

0.01088

290

 84.3

0.01186

243

100.6

0.00994

267

 91.6

0.01092

291

 84.0

0.01190

244

100.2

0.00998

268

 91.2

0.01096

292

 83.7

0.01194

245

 99.8

0.01002

269

 90.9

0.01100

293

 83.4

0.01198

246

 99.4

0.01006

270

 90.6

0.01104

294

 83.2

0.01202

247

 99.0

0.01010

271

 90.2

0.01108

295

 82.9

0.01207

248

 98.6

0.01014

272

 89.9

0.01112

296

 82.6

0.01211

249

 98.2

0.01018

273

 89.6

0.01117

297

 82.3

0.01215

250

 97.8

0.01022

274

 89.2

0.01121

298

 82.0

0.01219

251

 97.4

0.01027

275

 88.9

0.01125

299

 81.8

0.01223

252

 97.0

0.01031

276

 88.6

0.01129

300

 81.5

0.01227

a A. C. Fieldner, S. H. Katz, and S. P. Kinney, “Gas Masks for Gases Met in Fighting Fires,” U.S.

Bureau of Mines, Technical Paper No. 248, 1921.

Part IIICHEMICAL EXPOSURE EVALUATION

BIOLOGICAL MONITORING OF EXPOSURE TO INDUSTRIAL CHEMICALS

NANCY B. HOPF, PH.D. AND SILVIA FUSTINONI, PH.D.

1 INTRODUCTION

Occupational health experts began to monitor workers' chemical exposures by measuring the internal dose of a chemical of interest, which gave a more reliable estimate of total exposures such as lead concentrations in urine (1–3). Other human biomonitoring methods sought to measure a chemical's biotransformations in the body, its metabolites. For instance, urinary sulfate was determined in benzene‐exposed workers (4). Periodically monitoring industry workers who were exposed to especially benzene was recommended, and the aim was to remove workers from the site before symptoms of acute poisoning (such as anemia) appeared.

Quantifying the parent chemical compound or its metabolites – or biomarkers of exposure – in urine and blood is still a widely used biomonitoring approach. The metabolites can, in some instances, be a better measure of toxic exposure than the presence of the compound itself (e.g. quantifying urinary 2,5‐hexandione, the toxic metabolite, to determine hexane exposure). Human biomonitoring uses techniques of analytical chemistry to detect the presence of specific chemicals in human bodily fluids and tissues. This kind of biomonitoring relies on the sensitivity of the chemical assays and instruments, which since the 1960s have become able to measure ever‐smaller amounts of specific substances (2). For example, these techniques can detect one drop of ink in one of the largest tanker trucks used to haul gasoline, which is about one part per billion. Improvements in laboratory technology are driving the popularity of human biomonitoring, as specialists can now detect extremely low levels of multiple markers using a relatively small sample. High precision analytical instruments are used to specifically quantify chemicals or their metabolized residues such as inductively coupled plasma mass spectrometry, gas, and liquid chromatography coupled with single or triple quadrupole mass spectrometry, even in the presence of isotopically labeled analogs as internal standards to further improve assay's performance.

Biomarkers that measure bodily alteration such as changes in blood composition to assess a specific disease are known as biomarkers of effect. For instance, changes in blood cell composition profiles were used in order to protect hospital workers in radium units from radioactive exposures in the 1920s. Blood cell changes were known to precede radiation‐induced diseases such as aplastic anemia. Back then, the British X‐ray and Radium Protection Committee recommended that radium units in hospitals adopt in‐house blood monitoring programs to reduce the occurrence of aplastic anemia among exposed workers. This biomonitoring approach was later abandoned for a far easier radiation exposure‐monitoring program where workers wear dosimeters attached to their clothing. Radiation‐induced damage in individuals was later measured using genetic testing or the determination of condensed chromosomes – or karyotyping – by way of microscopy. Extensive data on chromosomal aberrations (CAs) in response to ionizing radiation have been provided from studies in survivors of the atomic bombings at Hiroshima and Nagasaki (5). This chromosome aberration method was later used to monitor uranium miners and workers in the nuclear industry exposed to radiation (6).

Although a biomarker of effect may be related to exposure to a specific chemical, it is more closely related to the occurrence of an adverse health effect (7). Damage to genetic material (chromosomes or DNA) or other molecular alterations (e.g. adducts) that are chemically induced by exposure are used to survey workers at risk. For instance, occupational exposure to the sterilizing agent ethylene oxide can be monitored with a detectable chemical modification of the hemoglobin molecules in their blood namely the N‐(2‐hydroxyethyl)valine (HEV) hemoglobin adduct. Another example is lead's ability to induce anemia by inhibition of heme synthesis. Lead inhibits delta‐Aminolevulinate dehydratase (ALAD), the second enzyme in the heme biosynthesis pathway. ALAD is a zinc metalloenzyme, and its inhibition by lead substitution for zinc is one of the most sensitive indicators of blood‐lead accumulation, a measure of recent lead exposure (8). Cytogenetic alterations in cultured peripheral blood lymphocytes, such as CAs and sister chromatid exchanges (SCEs), are used as biomarkers of effects to assess risk from exposures to carcinogens (9). Micronuclei (MN) present in cultured human cells are a measure of genotoxic exposure, and this biomarker of effect is predictive for cancer (10, 11). It is important to note that determining the actual biological damage might potentially be more informative than a simple exposure level but also note that individuals will vary in their susceptibility to such damage.

Biomarkers of exposure generally give a picture of a worker's current exposure while biomarkers of effect reflect chronic exposures. For instance, lead concentration in blood is a measure of current exposure while lead in bone is a reflection of cumulative exposures (12). Exposure biomarkers fluctuate with an individual's exposure. Exposure biomarkers reflect both absorption and the compound's apparent elimination half‐life in the body. It is, therefore, pertinent to collect the blood or urine sample at maximum exposure to avoid underestimating the body burden. This is not the case for biomarkers of effect where the sampling time is generally not critical. Exceptions to this general overview exist such as carboxyhemoglobin and methemoglobin.

Exposure biomarkers are used to integrate skin exposure, as measurements of airborne contaminants in the workplace fail to register other routes than inhalation exposure. Skin patches have been used to monitor potential skin exposure but this method does not take into account skin absorption. A biomarker of exposure can assess the bioavailability of the chemical and consequently, the body burden can be determined. Biomonitoring is also used to assess the efficiency of personal protective equipment (PPE). For example, workers wearing PPE to protect themselves from agents that are readily absorbed through the skin might become exposed because of a nonvisible tear in a glove. This breach in protection can only be monitored through biomarkers of exposure.

Human biological monitoring is a powerful tool for assessing human systemic exposure to hazardous substances by inhalation, ingestion, and absorption through the skin. Regular monitoring helps to reassure workers their exposure continues to be well controlled (13). Irreversible biochemical and functional changes are consequently not recommended as biomarkers for exposure monitoring because abnormal values already indicate a health injury that is supposed to be prevented by the monitoring.

At work, reducing exposure to toxic chemicals and their health effects can be implemented with biological monitoring programs and by comparing results to biological limit values (BLVs). The initiative in promulgating BLVs for biomarkers started in the 1970s. In the US, this movement was initiated by the organization for professional industrial hygienists; the American Conference for Governmental Industrial Hygiene (ACGIH), and in Europe, by the German Commission for the Investigation of Health Hazards of Chemical Compounds in the workplace (MAK commission) of the German Research Association (DFG or Deutsche Forschung Gemeinschaft). Since then, both ACGIH and DFG have published their yearly list of BLVs where BLVs are updated and/or new ones added. EU and its Scientific Committee on Occupational Limit values (SCOEL) continued this initiative. In addition, several countries have their own commissions and set country‐specific biological exposure limit values such as France, Finland, and Japan.

Expansion of biomonitoring beyond occupational health to the population at large started in the mid‐1920s with the health hazards of tetraethyl lead (gasoline additive). Studies showed that blood lead levels measured in healthy babies were above the industry standard, and individuals living in urban areas had higher blood lead concentrations than residents of rural areas (14). This knowledge eventually led environmental protection agency (EPA) to ban tetraethyl lead in automotive fuel. Biological monitoring strategies for population‐based studies differ from occupational studies. The exposure source is generally known in the occupational but not in the general population setting. Exposures are during work hours while the exposure time is often unknown for nonoccupationally exposed individuals. Work exposures are generally greater during fixed times while the general population might be exposed to low concentrations over longer periods. This chapter will only include occupational biological monitoring strategies.

This chapter will discuss biomarkers suitable for monitoring of occupational exposures, sampling strategy, how policy makers assess and manage the risk of exposure to chemicals at the workplace. This chapter will also touch upon the ethical issues associated with biomonitoring such as disclosure of data to whom, and with what kind of medical consultation. In addition, different approaches for setting biological monitoring limits will be described.

2 OCCUPATIONAL EXPOSURE ASSESSMENT

The ultimate objective of an occupational exposure assessment is to evaluate the health risk for workers and to implement control measures if the risk is considered unacceptable. Exposure assessment to airborne pollutants is usually performed by measuring the concentration of the studied contaminant preferably in the persons' breathing zone (personal air sampling) but sometimes area air samples are collected.

Sampling strategies depend on the purpose such as compliance (mandated sampling, comparing to existing occupational exposure limits [OELs]) or extensive exposure assessment (characterize the exposure intensity and frequency variability, control measure efficiency) of more or less all workers. Occupational hygiene sampling strategies include sampling workers with the potential for highest exposures, random sampling of a homogenous exposure groups, or selection of workers for periodic exposure monitoring programs. In the occupational environment, strategies for air sampling have been well defined and described in textbooks (15, 16), publications, and standards.

Occupational hygiene assesses workplace exposure by measuring the contaminants in the air or on the surfaces (including skin), and whenever possible, biological monitoring.

2.1 Exposure Monitoring

2.1.1 Air Sampling

The air sampling strategy includes the compounds of interest (what to sample), their OELs, their associated health effects if workers have excessive exposure to the agents, and where and when the compounds are used in the process. Consequently, the key operations and activities are identified. Workers that have the greatest potential for exposure to the agents are targeted and personal air sampling for the identified compounds are collected. Alternatively, stationary samples are used to identify the sources of potential exposures.

Concerns associated with collecting air samples are to take a representative sample of the study population for exposure measurements, account for all possible routes of exposure, select the appropriate sampling methods, and characterize correct exposure times. It is important to understand the basic relationship between factors influencing exposures, and the exposure distribution (often lognormal distribution). This will help understand exposure variability, especially, between‐ and within‐worker variability, exposure correlation in time and space (e.g. time series and spatial analysis), and the methods inherent uncertainties.

Occupational hygienists have to select the appropriate air sampling method for the compounds of interest. Sampling for all agents is impractical. Different media might be required for each agent. It is not convenient for a worker to wear several sampling pumps at the same time. Moreover, it could be that sampling and analytical methods do not exist for the compound of interest. Furthermore, the substance of interest might not be airborne. All these factors need to be considered in the field‐sampling plan.

2.1.2 Surface Sampling

Skin exposure is a topic that has been increasingly discussed this last decade since this route of entry is quite relevant for many chemicals. The exposure assessment for the skin route of entry is more challenging than with airborne contaminants. In addition, as air concentrations become lower the relative importance of skin exposure increases.

Skin exposures to chemicals have been evaluated using different methods (17–20). Surface sampling methods include wipe sampling, patch test, hand washing, and the tape stripping method.

Wipe tests consist of wiping a determined surface area with a material (fabrics, filters, etc.). The results are reported as mass of contaminant (in mg or μg) per square centimeter of the treated/body surface. For example, the amount of nicotine contaminating tobacco harvesters' hands at the end of shift were determined with wipe sampling (21).

Patch tests are similar to the surface sampling except they are attached to worker's skin (22). Patches are sampling mediums (fabrics, filters, etc.) placed on different parts of the worker's body where contact with the concerned pollutant is expected. For example, chromic acid skin exposures were measured using patches attached to the hands inside the PPE among electroplaters (23) or polycyclic aromatic hydrocarbons (PAHs) were measured using patches applied to different parts of the body in asphalt workers (24).

Hand washing is a technique applied to assess contamination on hands. It consists of pouring a certain amount of solvent (water or other suitable medium) on the contaminated hands while the worker is rubbing them. The hand wash is collected in a basin underneath. This technique was applied to assess exposure to pesticides in vineyard agricultural workers after re‐entry operations (maintenance and cleaning) (25).

The tape stripping method aims to determine the amount of a compound absorbed via skin by quantifying the amount of the compound in the outer layer of the skin (stratum corneum). The upper layers of the stratum corneum (nonliving keratinized layers) are removed by adhesive tapes successively. The total amount of compound absorbed is calculated by adding the compound amount extracted from the cells attached to the adhesive strips sampled from each layer of epidermis. The tape stripping method has been used to assess skin exposures among chimney sweepers to PAHs (26), among workers employed in the corticosteroid manufacturing industry to budesonide (27), and among jet‐fuel exposed workers to naphthalene (28).

No standard exists for occupational skin exposures. Therefore, it is the company or the organization that determines its own reference values for the surface wipes (skin or other surfaces), whole‐body clothing, patch, hand wash, or tape stripping methods used. The company needs to decide if the surface is considered “clean” or “contaminated” (29–31). There is no recommended strategy to derive reference values for these sampling methods.

2.1.3 Advantages and Limitations of Environmental Monitoring

Air sampling has several advantages over biomonitoring. There are many more established OELs for airborne contaminants than biomonitoring limit values. Air monitoring can measure peak exposures and very short exposure periods using direct‐reading instruments. Peak exposure measurements are not possible with biological monitoring due to pharmacokinetics and technical considerations.

From a legal point of view, the air quality at the workplace is a matter of the employer's responsibility who has to provide a safe occupational environment for the workers. Air sampling is not considered personal while a biological sample is, even if it is related to the air quality at the workplace. This is because the measured exposure quantity is influenced by personal characteristics and worker's behavior. This includes the way the worker operates and protects himself or herself. Biomonitoring might, therefore, be regulated differently than air monitoring depending on the specific country's legislation.

The main limitation of the air sampling is that it only allows the assessment of exposure through inhalation and ignores other routes of entry. This may seriously affect the risk assessment as this is often based on the total dose reaching the target organs. Air monitoring does not take into account the individual respiratory flow rates such as heavy lifting that directly influence the uptake of an airborne compound. Another limitation may be the sampling method: for reactive compounds, adsorption on a solid phase is often impossible and the impractical impingers (or bubblers) remain the only solution (32). Personal air measurements have in general more measurement error than biological measures (33). Although it is probably more feasible and cost‐effective to minimize the bias in exposure‐response associations by collecting additional airborne measurements than biological measurements.

Air measurements and biological monitoring are two methods of exposure assessment that are complementary. The choice of using air measurements or biomonitoring depends on the sampling purpose. In occupational hygiene practice, it is useful to start with optimizing working conditions using air sampling before biomonitoring. Another complimentary use of these methods is once biomonitoring programs are in place but the occupational hygienist running the program discovers that workers have elevated biomarker values than expected, then the occupational hygienist uses air monitoring to find the sources. Therefore, biomonitoring has an added value to air measurements where exposure is well managed and the occupational hygienist can use biomonitoring as the ultimate “stress test” to see if everything is placed or check for expected or unexpected contributions from skin absorption, effectiveness of PPE, and exposures after incidents/spills.

2.2 Biological Monitoring Approach

2.2.1 From Exposure to Disease

The value of biological monitoring is that it takes into account all routes of chemical exposure, along with personal characteristics. Biological monitoring of exposure can be used to target intervention and consequently, prevent the progression from exposure to disease because it is in an early step in the continuum of external exposure to health surveillance and disease (Figure 1).

FIGURE 1 Continuum of events between exposure and disease, and use of biomarkers in risk assessment.

Source: Adapted from Manini et al. (34); NRC (35); Albertini et al. (36).

As proposed by Lauwerys and Bernard in 1985 (37), biological monitoring of exposure to an industrial chemical may be defined as the evaluation of the internal dose (internal exposure) by a biological method with the view of assessing the associated health risk. Depending on the biological parameter selected and on the time of sampling, internal dose may mean the amount of chemical recently absorbed, the amount stored in one or several compartments of the organism, or, under ideal conditions, the amount bound to the sites of action. The internal dose estimation has usually relied on two categories of tests: those based on the determination of the chemical and/or its metabolites in various biological media (e.g. blood, urine, and alveolar air) and those based on the quantification of a no adverse biological effect, the intensity of which is related to the internal dose.

The scope of biomarkers has been greatly expanded during the past decades. This is primarily because of the great advances made in both analytical chemistry and molecular biology techniques. The increased biomarker knowledge has also played a significant role, particularly in the area of cancer biomarkers and their potential for predicting health risk in individuals and populations (38–44). For practical applications, biomarkers are generally classified into three categories: biomarkers of exposure, biomarkers of early biological effects, and biomarkers of susceptibility (45–48).

2.2.2 Biomarkers of Exposure

Historically, biomarkers of exposure indicators are the first ones described and still represent the majority of biological parameters validated and used in the assessment of occupational exposure. Generally, biomarkers of exposure give an indication of the compound circulating in the body and/or the amount excreted. Consequently, this is an evaluation of intake or uptake as well as an indication of the body burden. The compound can be the chemical itself (parent compound), some biotransformation products (e.g. metabolites), or some reaction products with macromolecules measured in accessible biological fluids. These exposure biomarkers may reflect the internal dose in various ways. They can be expressed as the quantity of a product:

Recently absorbed (solvents in the blood, in exhaled air, etc.)

Absorbed over a few months (metals in the blood or in hair)

Stored in organs and tissues (

dichlorodiphenyltrichloroethane

(

DDT

) and

polychlorinated biphenyls

(

PCBs

) in particular)

Present on the active site (carboxyhemoglobin, adducts).

2.2.2.1 BIOMARKERS OF INTERNAL DOSE Biological monitoring of occupational exposure to chemicals started in the early 1950s with survey programs for exposure to metals (lead and mercury principally) measuring these metals in blood or in urine. Biomonitoring to organic compounds (organic solvents) came later and was mainly the quantification of urinary metabolites of the solvents.

The validation of these biomarkers of internal dose was the quantitative relationship between biological and air monitoring to a particular chemical. These biological indicators were often validated using controlled experiments with volunteers in an exposure chamber by varying the magnitude of exposure seeking to obtain an external–internal relationship for the chemical of interest. Toxicokinetics of the chemicals is often explored in these controlled human experiments. The better the correlation between internal amount and external amount, the more powerful the biomarker. This approach is still used (49, 50). Validations are also performed by simultaneously assessing biomarkers and personal airborne exposure among occupationally exposed subjects. For example, the correlation between personal air exposures to styrene and styrene‐(7,8)‐oxide and several urinary biomarkers were investigated among workers. Urinary biomarkers included styrene, mandelic acid, phenylglyoxylic acid, phenylglycine, 4‐vinylphenol, the mercapturic acids (S,R)‐N‐acetyl‐S‐(1‐phenyl‐2‐hydroxyethyl)‐L‐cysteine, and (R,R)‐ and (S,R)‐N‐acetyl‐S‐(2‐phenyl‐2‐hydroxyethyl)‐L‐cysteine, and styrene‐(7,8)‐oxide hemoglobin and albumin adducts). The adopted multiple sampling design allowed for a reduced within subject variability, and very good correlations were obtained between several urinary biomarkers and measured personal styrene air exposures (51, 52).