“late” data (80, 300, 400, 500, and
10,000 days) to obtain the exponent for
the second power-function term for uri-
nary excretion. (The 1600-day data
were analytically suspect and were dis-
carded; those data, and data from the
workers in the same time frame, were
influential in Langham’s extension of
his power function to 1750 days.) Fix-
ing the slope (in a log-log plot) for the
late data meant the early data would not
have undue influence. Once the slopes
in the two regions were fixed, the coef-
ficients of the two power terms were
found from a weighted nonlinear least
squares fit, using the medians (rather
than the raw data or the means) to cut
down on any undue influence from out-
liers. A similar analysis was done for
fecal excretion, although Moss and Ti-
etjen did not have to constrain the data.
The final results are:
Y
u
5
0.4132 X
2
1.0615
1
0.0187 X
2
0.3217
,
Y
f
5
1.1481 X
2
1.4400
1
0.0058 X
2
0.2039
.
The dependence of the excretion func-
tion on two power terms is obvious in
the log-log plot of the data (Figure 6),
which has two distinct regions of dif-
ferent slopes. The second region is es-
pecially obvious because of the data at
10,000 days, which has less scatter be-
cause of improved analytical methods.
However, the corrected data around day
80 and days 300 to 500, when plotted
on an individual basis for each patient,
also strongly indicate the different slope
of the second region, despite the much
greater scatter of those data evident in
the figure.
Excretion of plutonium. The equa-
tions have allowed new estimates to be
made of the amount of plutonium that
would be excreted over the long term
(see Table 3), and it turns out that this
is more than twice the amount of what
had been estimated earlier with Lang-
ham’s single-term power function. For
example, after 10,000 days (27.4 years),
a total of 32.0 percent of internal pluto-
nium will have been excreted compared
to the 12.1 per cent estimated from
Langham’s function. This fact helps
explain why body-burden values de-
rived from autopsy studies of plutonium
workers tend to be less than that previ-
ously estimated from the urine data.
However, because 68.0 per cent of the
plutonium remains (versus 88.9 per
cent), the conclusion about removing
workers from further exposure once
they have reached the maximum per-
missible limit remains as true today as
it was in 1945.
On the other hand, the implications for
dose estimates are significant. After
fifty years, almost half the plutonium
will have been excreted. Thus, the re-
sults of a tissue analysis on a worker
that died 50 years after his exposure
would extrapolate to an initial body
burden almost twice that estimated
from the Langham function. The in-
crease in body burden translates, in
turn, to an increase in the radiation
dose to the person over the rest of his
life.
Two physiological regions. Physical-
ly, the importance of a two-term power
function is that it likely corresponds to
two different physiological processes.
Moss and Tietjen believe that for the
The Human Plutonium Injection Experiments
220
Los Alamos Science Number 23 1995
1
10
100
1000
10000
Days after injection
0.0001
0.001
0.01
0.1
1.0
Per cent of injected dose excreted
Pu from blood reservoir
Pu from bone reservoir
Langham model
Figure 6. A Re-analysis of the Plutonium Urinary Excretion Data
The data are the median values for urinary excretion in the human injection studies
after rejection of suspect data and correction for chemical yield. The solid curve repre-
sents the two-term power function that results when the slope of the curve determined
from the early data (5 through 15 days) is used to fix the exponent of the first term of
the function and the late data are used to determine the exponent of the second term.
The curve shows two distinct regions that probably correspond to an early release of
plutonium from a blood reservoir followed by a slower release from a bone reservoir.
The original Langham power-function model is also shown (dashed line); the apparent
poor fit is, of course, a result of the recent adjustments of the data.
Table 3. 10,000-day Excretion of Plutonium
Moss-Tietjen function
Langham function
Urinary excretion:
17.4 %
7.8 %
Fecal excretion:
14.6 %
4.3 %
Total excreted:
32.0 %
12.1 %
Amount remaining:
68.0 %
88.9 %
first couple of weeks, most of the ex-
creted plutonium is coming from a
blood reservoir. For later times, the
plutonium is being released more slow-
ly from a bone reservoir with some
contribution from the liver. Such be-
havior had been postulated in 1972 by
Betsy Stover from an analysis of long-
term plutonium excretion in dogs, and
Langham had conjectured about this
type of physiological change as well.
However, the human data did not ap-
pear, until recently, to follow the same
pattern. Now, the dog and human data
are consistent.
These results form an interesting con-
trast with radium. After intake, radium
is almost immediately deposited in the
bone. To be excreted, it has to be me-
tabolized and returned to the blood. So
there is only one region, and the excre-
tion rate, although initially very high,
drops off in a log-log plot with no ap-
parent changes in slope. A single-term
power function is adequate to describe
the full excretion behavior for radium.
Although our two-term power function
fits the general trend of the initial ex-
cretion of plutonium, there has always
been some variability in the first four
days, which, as it turns out, has a phys-
iological basis. Typically, there is an
increase in the excretion rate at about
four days (Figure 7) corresponding to a
turnover in red blood cells. Soluble
plutonium has been shown to combine
with the iron-transport protein in the
blood, transferrin, where it is incorpo-
rated into developing red blood cells.
However, after four days, cataboliza-
tion, or destruction, of about 10 per
cent of the developing red blood cells,
including all those containing plutoni-
um rather than iron, are released back
into the blood, which increases the
amount available for excretion. Such a
peak in the excretion data cannot, of
course, be modeled with simple, one-
or two-term power functions. But rec-
ognizing why a peak occurs at the four-
day mark is a satisfying check of our
understanding of the metabolism of plu-
tonium in humans. Perhaps more im-
portant, though, noting the existence of
the peak in most of the original human
excretion curves helps substantiate the
sensitivity and, thus, the importance
and relevance of that fifty-year-old
data.
Additionally, the iron-transport bound
plutonium that is released back into the
blood is not incorporated into mature
red blood cells. Some fraction of this
plutonium is excreted and the rest is re-
deposited in tissue. A cycle of this sort
continues on and on, which gradually
brings small amounts of plutonium into
the blood to be excreted.
Implications of the Plutonium
Injection Studies
In the years that have passed since the
human plutonium injection studies, the
data have been endlessly analyzed, dis-
cussed, and re-analyzed by the commu-
nity of health physicists concerned with
the protection of plutonium workers.
What has been learned and what impact
has this knowledge had on health pro-
tection for plutonium workers?
The determination of a radiation dose
to workers from plutonium (or the toxic
dose from any material, for that matter)
requires a biokinetic model that de-
scribes, in mathematical terms, how a
known intake of plutonium translates to
a time-dependent distribution of pluto-
nium throughout the body. For exam-
ple, an inhalation exposure to plutoni-
um dust would need expressions that
describe, as a function of time, the frac-
tion of plutonium retained by the lung,
the fraction that enters the bloodstream,
the fraction that is coughed up, swal-
lowed, and passed through the gastroin-
testinal tract, the fraction in the blood
that goes to various organs, such as the
liver and bone, the fraction of plutoni-
um that is filtered out by the kidneys
and excreted, and so forth. The human
plutonium injection studies coupled
with autopsy results yielded consider-
able data that were applicable to the
calculation of the time-dependent distri-
The Human Plutonium Injection Experiments
Number 23 1995 Los Alamos Science
221
1
2
3
5
7
10
Days after injection
0.01
0.1
1.0
Per cent of injected dose excreted
Pu-239 in man (CHI-3)
Iron-59 in man (normalized)
Feedback from catabolized precursor blood cells
Figure 7. The Four-day Peak for Red Blood Cells
Many of the urinary excretion curves for the human plutonium injection studies show a
small peak around day 4 (the blue curve above uses the excretion data of CHI-3). This
peak corresponds to the release of plutonium back into the blood when about 10 per
cent of newly forming red blood cells, which started their life cycle at the time of the
injection, are destroyed (catabolized). A similar peak is observed in studies with iron-
59 in man (red curve), as well as for plutonium-239 in dogs (not shown).