Philip Morris
Identification and Counting of Mineral Fragments
Fields
- Author
- Fisher, R.M.
- Lally, J.S.
- Lee, R.J.
- Lally, J.S.
- Type
- SCRT, REPORT, SCIENTIFIC
- ABST, ABSTRACT
- BIBL, BIBLIOGRAPHY
- CHAR, CHART, GRAPH, TABLE, MAPS
- DRAW, DRAWING
- PHOT, PHOTOGRAPH
- ABST, ABSTRACT
- Area
- SOLANA,RICHARD/CENTRAL FILES
- Litigation
- Fali/Produced
- Characteristic
- EXTR, EXTRA
- Site
- R545
- Named Organization
- Bureau of Mines
- Natl Bureau of Standards
- OSHA, Occupational Safety & Health Administration
- US Steel
- Workshop on Asbestos
- Natl Bureau of Standards
- Author (Organization)
- US Steel
- Named Person
- Nord
- Poisson
- Ross, M.
- Zoltai, T.
- Poisson
- Master ID
- 2063104795/5283
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- Date Loaded
- 20 Sep 1999
- UCSF Legacy ID
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Document Images
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Electron-Microscope Examination. Specimens are examined in the scanning electron
microscope and the million-volt electron microscope, and micrographs are made of random
areas until 35 to 50 particles with a 3:1 aspect ratio or larger are located. Visual
examination, although obviously much quicker, is liable to large subjective errors in
recognizing 3:1 "fibers" and in measurement of particle size. Permanent records are
important in case of subsequent need for rechecking or confirmation by others. The total
grid area photographed can be related to the original volume of air samples through the
series of dilution and scale factors involved. Typically, one full grid opening cor-
responds to about 10 liters of clean ambient air and to about 10 mL of very dusty air or
stack samples. In most cases, "average" concentrations of 2 to 10 particles per grid
opening are about right. Smaller values lead to prolonged searching to obtain adequate
statistics, and higher particle concentrations give difficulties with identification
procedures.
Statistical Factor and Misidentification
Examination of a large number of samples has clearly demonstrated that the concentra-
tion (per unit area) of particles follows a Poisson distribution where the variance is
about equal to the mean. The corresponding distribution of particles between grid
openings is illustrated schematically in figure 11. The mean concentration is 2.5
particles per square. Obviously, differences of nearly an order of magnitude could result
by chance if only the left-central or right-central four openings were examined with means
of 0.5 and 3.3, respectively. This distribution effect can be minimized by continuing to
search and record micrographs until enough data are obtained to be valid at a
predetermined confidence level.
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Figure 11. Schematic illustration of Poisson distribution
of particles between grid squares.
397

Random Misidentification. Another source of error that is not so easily circumvented
is the misidentification of mineral fragments if only electron diffraction is employed.
This can occur by chance even when every care is taken to tilt the particle properly, the
pattern is measured accurately, and comparison is made with an appropriate suite of
minerals. This error is' particularly serious in view of the growing tendency to equate
"amphibole" with "asbestos".
The frequency of chance computer matches of diffraction patterns of randomly oriented
mineral particles is shown in table 3. The chance of misidentification of a particle as
an amphibole when minnesotaite and magnetite are both present ranges from 9 to 18 percent.
The misidentification probability is reduced when lattice-symmetry effects are introduced
into the calculation. An illustration of the effects of chance misidentification is shown
in table 4. It was assumed that 35 particles of a non-amphibole mineral were counted and
7 misidentified as amphibole. If amphiboles could have been present, it is only possible
to say that the concentration was less than 103/m3. Because of the larger scale factor
for dusty air, or if only a few grid squares were scanned, an even larger apparent
concentration would be reported (as has already occurred) [9].
Table 3. Computer matches of randomly generated diffraction patterns.a
- - - - Randomly Generated Patterns From - - - -
Computer Indexed
Solutions
Minnesotaite
Minnesotaite 100
Actinalite 9
Magnetite 0
Grunerite 11
a Accidental matches are underlined.
Actinolite Magnetite
24 12
100 18
0 100
14 13
Table 4. False identification as amphiboles, probability ti0.2.
Scale Factora Apparent
Concentration Actual
Ambient Air l0s ti5 x 10''/m3 0b -<103c
Dusty Air 5 x 107 ti2 x 107/m3 0-<10s
a(Cubic meter per grid opening)-1.
b When none could be present.
C Maximum if occurrence possible.
More Rapid Electron-Microscope Methods
The identification and counting procedures described in previous sections are very
time consuming and expensive. Costs per individual air sample are in the range of $300
to $1500, depending an the methods used and the degree of reliability that the analytical
laboratory is willing to certify. Deployment of more than 1000 air monitoring stations
around the United States might easily be deemed necessary. The financial and manpower
resources are just not available for electron-microscope analysis on this scale.
398

es
A more simplified method, currently under development, is to group particles observed
in the microscope into classes based on their appearance and their x-ray emission spectra,
that is, their approximate composition, using automatic image-analysis techniques for
measurements and recording. Complete electron-diffraction identification is then carried
out on randomly selected particles from each class. This cuts the time required by a
factor of five or more, admittedly at some loss in certainty. However, the improved
statistics appear to overcome this deficiency.
In some cases of particular interest, simpler methods may be developed to achieve
reasonably reliable identification. For example, the development of different crystal
faces by amosite and grunerite affect their orientation on the electron-microscope grid
and the diffraction patterns most commonly observed. This could be used to screen
samples for amosite and grunerite with a reasonable degree of accuracy on a quality-control
basis. Other specific analysis problems might be solved in similar fashion. However,
this method will not work on ambient-air samples, which could contain a large number of
minerals or chemical compounds. Finally, automatic image-analysis facilities to process
scanning electron-microscope images are coming into use. Effective methods of utilizing
these devices are being developed to expedite analysis of air and water samples by
eliminating manual data logging and particle counting and measurement.
Physical Characteristics of Mineral Fragments
Aside from questions of errors in identifying and counting amphibole and other mineral
fragments, the very pronounced distinctions between their physical characteristics and
those of asbestos must be recognized. In addition to obvious differences in particle size
and shape, more subtle features such as crystal structure, face orientation, surface
chemistry, associated impurities, lattice imperfections, and concentration could well be
important in the biological response to small particles. These factors cannot be over-
looked when attempting to generalize from health-effects studies with a particular mineral
variety.
Scanning-electron-microscope micrographs in figure 12 demonstrate the difference in
appearance of crocidolite fibers and several cleavage fragments of hornblende with a 5:1
aspect ratio. The difference in character between the two types of particles is quite
apparent, yet there has been a growing tendency to equate them.
caocznoaixa
aoMeLace
Figure 12. Scanning electron micrographs of crocidolite fiber
and fragments of hornblende.
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The cumulative distribution of particle aspect ratios of amosite fibers is shown in
figure 13 with a similar plot for comminuted actinolite particles. Differences in the
distribution of the aspect ratio of particles are marked. Very few actinolite cleavage
fragments have an aspect ratio greater than 10:1, whereas very few amosite particles are
less than 10:1. -
CUMULATIVE FRACTION, %
100
Figure 13. Plot of measured aspect ratio of amosite fiber
and ground actinolite.
Studies of more basic structural differences are just beginning in a number of
laboratories. Differences in cleavage properties and growth characteristics between
amosite and grunerite that are reflected in particle morphology and surfaces were
discussed in the Section, "Characteristic Diffraction Patterns." Planar lattice defects,
responsible for extensive streaking in certain electron-diffraction patterns, can be seen
by high-resolution electron microscopy [11]. When present, these grown-in faults may
promote a tendency to split into long narrow fibers. Several years ago,
electron-microscope studies revealed that chrysotile fibers are actually hollow tubes
[12]. Recently, high-resolution studies of cross-sections of crocidolite have shown the
presence of somewhat similar micropores between the fibers [13].
Summary
Identification of mineral fragments and determination of their concentration in air
and water samples with a satisfactory degree of accuracy can be achieved using electron
optical methods if the procedures reviewed in this report are followed. The most
important precautions are:
1. Loss of particles or changes in their dimensions during specimen preparation
must be avoided.
2. Crystal fragments must be tilted into a zone-axis orientation before selected-
area electron-diffraction patterns are recorded.
3. Spot spacings and angles must be measured accurately and compared with
computed patterns for any minerals that could occur in the sample.
400

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4. X-ray emission spectral data from overlapping or closely adjacent particles
must be discarded, effects of particle size on line intensities must be
recognized, and data must be compared with well characterized reference
standards.
5~ Appropriate statistical criteria must be used to interpret the significance of
apparent particle concentrations.
In our view, a definition of a fiber, incorporating the following points, would
resolve most analytical difficulties and remain compatible with all known facts concerning
health effects.
1. Aspect ratio greater than 10:1.
2. Parallel edges.
It is also necessary to establish a lower limit on particle size in keeping with
capabilities of analytical procedures to ensure consistency in count between various
laboratories. In the absence of any conclusive evidence for adverse biological effects
due to very small particles, the current >5 pm length standard should be maintained.
A recent Bureau of Mines Information Circular [14] contains discussion and documenta-
tion of many of the foregoing points including: (1) Detailed discussion of definitions
relating to asbestos and the importance of eliminating loose terminology from the
scientific and popular literature. (2) Discussion of the differing growth and cleavage
origins of fibers and fragments as , emphasized in this report. (3) Criticism of the 3 to 1
aspect-ratio criterion for mineral fibers on the basis that fibers from asbestiform
minerals always average more than 10 to 1 and often go up to 200 to 1 or eore, whereas the
usual ratio for cleavage fragments is less than 10 to 1.
References
[1] Zoltai, T. and Stout, J. H., "Comments on Asbestiform and Fibrous Mineral Fragments,
Relative to Reserve Mining Company Taconite Deposits," Contract report to Minnesota
Pollution Control Agency, March 1976.
[2] Zoltai, T., "History of Asbestos-Related Mineralogical Terminology," Proceedings,
Workshop on Asbestos: Definitions and Measurement Methods, National Bureau of
Standards, Gaithersburg, Md., July 18 to 20, 1977.
[3] Ross, M., "Minerals Commonly Occurring in the Earth's Crust That Might be Defined as
Asbestos by Various Regulatory Agencies," Proceedings, Workshop on Asbestos: Defini-
tions and Measurement Methods, National Bureau of Standards, Gaithersburg, Md., July
18 to 20, 1977.
[4] Lee, R. J., "Electron Optical Identification of Particulates," Proceedings of
Symposium on Electron Microscopy of Microfibers, Pennsylvania State University,
August 23 to 25, 1976, in press (1977).
[5] Lally, J. S. and Lee, R. J., "Computer Indexing of Electron Diffraction Patterns
Including the Effects of Lattice Symmetry," Proceedings of Electron Microscopy
Society of America Annual Meeting, Boston, August 22 to 26, 1977.
[6] Champness, P. E. , Cliff, G. , and Lorimer, G. W., "The Identification of Asbestos,"
Journal of Microscopy, 108, Pt. 3, 231-249 (1976).
[7] Nord, G. L., Jr., "State-of-the-Art of the Analytical Transmission Electron Micro-
scope," Symposium on Electron Microscopy and X-ray Diffraction in Environmental and
Occupational Health, in press (1977). _
401
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[8] Brown, A. L., Jr., Taylor, W. F., and Carter, R. E. , "The Reliability of Measures of
Amphibole Fiber Concentration in Water," Environmental Research, 12, 000-000 (1976).
[9] Nichelson, W. J., "Analysis of Mesabi Iron Range Samples," Environmental Sciences
Laboratory, Mount.Sinai School of Medicine, Contract report to Minnesota Pollution
Control Agency, July 1975.
[10] Chadfield, E. , Ontario Research Foundation, private communication (1976).
[11] Irusteta, M. C. and Whittaker, E. J. W., High-Resolution Electron Microscopy and
Diffraction Studies of Fibrous Amphiboles, Acta Cryst. A31, 794 (1975).
[12] Yada, K., High Resolution Electron Microscopy of Chrysotile, Acta Cryst. 23, 704
(1967).
[13] Franco, N. A., Hutchison, J. L., Jefferson, D. A., and Thomas, J. M., "Structural
Imperfection and Morphology of Crocidolite (blue asbestos)," Nature, 266, 7 (1977).
[14] Bureau of Mines Information Circular (IC8751), "Selected Silicate Minerals and Their
Asbestiform Varities: Mineralogical Definitions and Identification-Characterization,"
U. S. Dept. of the Interior, 1977.
Discussion
NOTE: Discussion of this paper was included in the General Discussion at the end of this
session.
402
