LIBS for Detection of Trace Aluminum in Human Tissue
Simulants
by Marian Adamson
Amazing
research is being done studying biological implants.
These implants have the potential to do
everything from restore sight and muscle operation to automatically
release
pressure to the brain. They are often
tiny microchip sensors that detect and send information to the doctor
or the
body itself. One chip, for example, would
sit on the back of the retina and send electrical pulses to the brain. It is important to research the effects of a
sensor placed in tissue for a long period of time.
Obviously, the sensor must be inert and not
react with any biological tissue. For
this reason, sapphire, Al2O3, which has good
optical
qualities as well as being hard and inert, is often used.
However, these retinal implants tend to quit
working with time. One supposition is
that aluminum is leaching out of the sensor into the tissue. This could cause the mechanism to fail and
also deposit harmful metals into the tissue.
The
need here is a test mechanism that can examine whether metals (or other
elements) are diffusing out of a biosensor into the surrounding tissue. The amount of metal would be quite small, so
the method would need to be sensitive.
The mechanism would have to work on tissue, a mostly water based
substance. It would be necessary to
conduct the test quickly and receive results fast.
Typically, that means little sample
preparation and a relatively portable device.
Finally, the method must not overly harm the tissue that is
being
tested. Once this mechanism is
developed, it could then be correlated with research on these amazing
retinal
(and other) sensors.
LIBS is our solution to the problem. It is
excellent at finding trace amounts of elements (particularly metals)
and, with
analysis, can even detect the relative concentrations of different
elements. With its ability to quickly
analyze a
material with little harm to the material itself and little sample
preparation,
it can be used on site to get immediate results. Extended
even further, this method could be
used in vivo to determine
compositional make-up of living tissue.
The composition of the tissue can then be analyzed to determine
if
something does not belong.
I am studying the application of LIBS on a
tissue-like target seeded with metal. I
have researched suitable materials to imitate tissue and various
methods of
metal placement. Now, I am finding an
appropriate
experimental setup to maximize the clarity of the data.
The ability of LIBS to detect the metal and the
limits of that detection will soon be determined.
And finally, I will study methods to make the technique less
complicated and more portable.
The
Retinal Implants
Members of the wireless implant group
of the
Smart Sensors and Integrated Microsystems (SSIM) Program are working
on creating retinal implants to restore sight to the blind. The
project is huge, requiring expertise from many departments at Wayne
State University. The general gist of the sensor is as
follows: an extra small
camera is attached to a tiny processor. Then some coils turn the
image into an
electronic signal. The signal is sent to tiny microbumps on a
plate.
Neurons are grown using guides to attach the microbumps to the optic
nerve. The whole system is on a sapphire substrate, chosen for
its
property of being biologically inert. Of course, the problem is
that this "inert" sapphire might be leaching aluminum into
tissue. Not only is trace aluminum useless for cells, but
aluminum is also known to help cause Altzeimer's Disease.
The
Human Tissue Simulants
John and Odom [1] reported that soft
tissue is made of carbon, hydrogen, nitrogen, and oxygen. The
body is also made of about 50% water. Therefore my model tissue
needs to be something made of C, H, N, and O mixed in with a lot of
water. The solution was gels. I found several gel-like
substances that others have used, for example, agarose, gelatin,
pectin, agar, and carrageenan. These were considered under
several requirements: availability, longevity, gel strength at
room temperature, and usage by other researchers. Agarose and
gelatin were the most used by others for research [2,3,4,5,6] and were
the most available. Gelatin is made from boiling pig skin, bones,
and ligaments. Agarose is a derivative of red seaweeds. It
was decided to test both using LIBS. Figure 1 shows two
wavelength spectrums, one for gelatin and one for agarose.
Figure 1. Wavelength Spectrums for gelatin (A) and agarose
(B). Both spectrums are displayed on a "maximum" scale, meaning
that for each
point displayed above, the maximum of a set of points from the CCD is
displayed. (C) is a superposition of both the gelatin and the
agarose,
this time in an "average" view, which emphasizes different
elements.
Both gelatin and agarose showed
elements of carbon, calcium, and sodium, though according to London
South Bank University [7], calcium and sodium are not in either gel and
carbon is not in agarose. By looking at (C) from the Figure
1, we see that the two spectrum are relatively alike. The average
view brings out the wider peaks like H, the O triplet, and the
molecules, while the maximum view shows the narrow, tall peaks
well. The increase in sodium for the gelatin could likely be due
to the height of the LIBS spark in the sample; deeper sparking
seems to bring out more sodium. After seeing the
similarities of these spectra, and after the gelatin sample molded, the
decision was made to use agarose from then on.
Aluminum doping
There was some difficulty in adding
aluminum to the samples. At first, aluminum particles of an
average diameter of 20 microns were mixed with the agarose and water
before heating. The sample was then stirred with a magnetic stir
rod while the sample was heated and the agarose dissolved. The
aluminum would remain well mixed until the sample was allowed to sit
and cool, and then the aluminum would settle out. An attempt was
made to stir the sample while it cooled until it thickened enough to
hold the aluminum in suspension, but this did not work. To fix
the problem we considered buying aluminum already in solution.
Since most aluminum molecule solutions were caustic, harmful, or let
off poisonous gases when mixed with water, we determined to use a
nanoparticle aluminum oxide water solution. The 50 nanometer or
less sized particles remain in suspension without stirring, giving the
solution a milky color due to the scattering of light reflecting off
it. Three samples were made by adding the aluminum oxide water
solution to the agarose and water before heating. The
concentrations of these samples were 1070 ppm, 203 ppm, and 104
ppm. LIBS has not yet been done on these samples.
Some LIBS was done on the micron sized aluminum doped agarose samples,
though because some aluminum settled out, the concentration is
unknown. The following spectrum shows the plain agarose (2%
concentration) overlaid with an aluminum doped 2% agarose sample.
The aluminum is this picture is especially clear.
Figure 2. Plain agarose (black) overlaid with aluminum doped
agarose (red).
Future Steps
Current work is on testing the new
aluminum doped agarose samples and determining the limit of detection
for aluminum concentration. One difficulty is making smaller
concentrations than 100 ppm, because such little amounts of Al solution
are needed. Others doing LIBS of trace elements in water have
seen concentrations down to 20 ppm [insert reference], so these samples
will probably be needed.
We are also interested in utilizing a cylindrical lens to ablate our
samples. This lens creates a line of ablation instead of a point
and ablates more of the surface in less time. This would be good
to help average out the heterogeneity of our samples. The down
side is that less energy is allocated to each point along the line
spark, and, as a result, the plasma is not as hot. After some
preliminary tests using the cylindrical lens we found that aluminum
dominated the spectrum, but that any other element was difficult to
see. We did find some sodium and carbon after averaging on a
particular sample at a particular sample height. When determining
aluminum concentrations the other elements are needed to act as a
control. While the aluminum line intensity should change with
concentration, the other elements should remain the same.
Therefore, a ratio of aluminum to another control element will
hopefully remove fluctuations from sample height, laser mode, and
plasma temperature from the data. While sodium is notoriously
unreliable, the carbon line seen has some potential as a comparison
line. Unluckily the non-doped agarose samples had almost no
sparking with this method, so only aluminum samples can be
analyzed. The next step will be to compare the cylindrical lens
data's reproducibility and detection limits with that of the pointlike
spark.
The goal of the project is to use samples with known concentrations of
aluminum to create calibration curves. This will be done once we
know which lens to use, how to best prepare the aluminum/agarose
samples, and how to make the most reproducible measurements.
Hopefully, this will not be too far in the project's future.
References
[1] John, C M; Odom, R W, "Static
secondary ion mass spectrometry of biological compounds in tissue and
tissue-like matrices", International
Journal of Mass Spectrometry and Ion Processes, 161, 47-67,
(1997)
[2] Bennett, J; Gillen, G, "Formation and Emission of
Tetraalkylammonium Salt Molecular Ions Sputtered from a Gelatin
Matrix", Journal of American Society
for Mass Spectrometry, 4, 930-937, (1993)
[3] Ramseyer, G O; Morrison, G H, "Relative Sensitivity Factors
of Elements in Quantitative Secondary Ion Mass Spectrometric Analysis
of Biological Reference Materials", Analytical Chemistry, Vol.
55, No. 12, (Oct 1983)
[4] MacMillan, B; Burke, B; Balcom, B; Ziegler,
G, "Phantom materials for single point imaging pulse
sequences", Solid State
Nuclear Magnetic Resonance, 28, 106-110, (2005)
[5] Nakagawa, A; Hirano, T; Komatsu, M; Sato, M; Uenohara, H;
Ohyama, H; Kusaka, Y; Shirane, R; Takayama, K; Yoshimoto,T,
"Holmium: YAG Laser-Induced Liquid Jet Knife: Possible Novel
Method for Dissection", Lasers
in Surgery and Medicine, 31, 129-135, (2002)
[6] Chen, Q; Suki, B; An, K, "Dynamic Mechanical Properties of
Agarose Gels Modeled by a Fractional Derivative Model", Transactions of the ASME, Vol. 126,
(Oct 2004)
[7] Chaplin, M, "Water Structure and Behavior", updated May 26,
2006, http://www.lsbu.ac.uk/water/index2.html
updated June 28, 2006 by Marian Adamson
Back
to the Rehse Group main page