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How
It Works | Fluorescence Quenching | Calibration
| Linear (Stern-Volmer) Algorithm | Second
Order Polynomial Algorithm | Henry's Law |
Scattering
Media | Technical References
How it Works
Our Fiber Optic Oxygen Sensors use
the fluorescence of a chemical complex in a sol-gel to measure the
partial pressure of oxygen. The pulsed blue LED sends
light, at ~475 nm, to an optical fiber. The optical fiber carries
the light to the probe. The distal end of the probe tip consists
of a thin layer of a hydrophobic sol-gel material. A
sensor formulation
is trapped in the sol-gel matrix, effectively immobilized and
protected from water. The light from the LED
excites the formulation complex at the probe tip. The excited
complex fluoresces, emitting energy at ~600 nm. If the excited complex encounters an oxygen molecule, the excess energy is
transferred to the oxygen molecule in a non-radiative transfer,
decreasing or quenching the fluorescence signal (see Fluorescence
Quenching below). The degree of quenching correlates to the level of
oxygen concentration or to oxygen partial pressure in the film, which
is in dynamic equilibrium with oxygen in the sample. The energy is collected by
the probe and carried through the optical fiber to the spectrometer.
This data is then displayed in your
OOISensors
Software.
Fluorescence Quenching
Oxygen as a triplet molecule is able to quench efficiently the
fluorescence and phosphorescence of certain luminophores. This effect
(first described by Kautsky in 1939) is called "dynamic fluorescence
quenching." Collision of an oxygen molecule with a fluorophore in its
excited state leads to a non-radiative transfer of energy. The degree of
fluorescence quenching relates to the frequency of collisions, and
therefore to the concentration, pressure and temperature of the
oxygen-containing media.
Calibration
In order to make accurate oxygen
measurements of your sample, you must first perform a calibration
procedure with your Oxygen Sensor system. Two major factors affect the calibration
procedure of your system.
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First, decide if you are
going to compensate for changes in temperature in your sample. If you
are working with a sample where there are no fluctuations in
temperature, you do not need to compensate for temperature.
Temperature affects the fluorescence decay time, fluorescence
intensity, collisional frequency of the oxygen molecules with the fluorophore,
and the diffusion coefficient of oxygen. The sample should be maintained at a
constant temperature (± 3 °C) for best results. For more on
compensating for temperature changes,
click here.
-
Next, choose the algorithm
you wish to use for your calibration procedure. The Linear
(Stern-Volmer)
algorithm requires at least two standards of known oxygen
concentration while the Second Order Polynomial algorithm
requires at least three standard of known oxygen concentration.
Calibration curves are
generated from your standards and the algorithms to calculate
concentration values for unknown samples. The Second Order Polynomial
algorithm provides a better curve fit and therefore more accurate data
during oxygen measurements, especially when working in a broad oxygen
concentration range.
Linear (Stern-Volmer)
Algorithm
The output (voltage or fluorescent
intensity) of our Fiber Optic Oxygen Sensors can be expressed in terms of the Stern-Volmer
algorithm. The Stern-Volmer algorithm requires
at least two standards of known oxygen concentration. The first standard
must have 0% oxygen concentration and the last standard must have a
concentration in the high end of the concentration range in which you will
be working. The fluorescence intensity can be expressed in terms of the
Stern-Volmer equation where the fluorescence is related quantitatively to
the partial pressure of oxygen:

I0
is the intensity of fluorescence at zero pressure of oxygen,
I
is the intensity of fluorescence at a pressure p of oxygen,
k
is the Stern-Volmer constant
For a given media, and at a
constant total pressure and temperature, the partial pressure of oxygen is
proportional to oxygen mole fraction.
The Stern-Volmer constant
(k) is primarily dependent on the chemical composition of the
sensor formulation. Our probes have shown excellent stability over time,
and this value should be largely independent of the other parts of the
measurement system. However, the Stern-Volmer constant (k) does
vary among probes, and it is temperature dependent. All measurements
should be made at the same temperature as the calibration experiments or
temperature monitoring devices should be used.
If you decide to compensate
for temperature, the relationship between the Stern-Volmer values and
temperature is defined as:
|
I0
= a0 + b0 * T + c0
* T 2 |
|
k
= a + b * T + c * T 2 |
The intensity of
fluorescence at zero pressure of oxygen (I0) depends
on details of the optical setup: the power of the LED, the optical fibers,
loss of light at the probe due to fiber coupling, and backscattering from
the sample. It is important to measure the intensity of fluorescence at
zero pressure of oxygen (I0) for each experimental
setup.
It is evident from the
equation that the sensor will be most sensitive to low levels of oxygen.
The photometric
signal-to-noise ratio is roughly proportional to the square root of the
signal intensity. The rate of change of signal intensity with oxygen
concentration is greatest at low levels. Deviations from the Stern-Volmer relationship occur primarily at higher
oxygen concentration levels. Using the Second Order Polynomial algorithm
when calibrating corrects these deviations.
Backscattering in the media can increase the collection efficiency
of the probe, increasing the observed fluorescence. It is important to
perform calibration procedures in the media of interest for highly
scattering substances. For optically clear fluids and gases, this is unnecessary.

Second Order Polynomial
Algorithm
The Second Order Polynomial
algorithm requires at least three standards of known oxygen concentration.
The first standard must have 0% oxygen concentration and the last standard
must have a concentration in the high end of the concentration range in
which you will be working. The Second Order Polynomial algorithm is
considered to provide more accurate data because it requires at least
three known concentration standards while the Linear (Stern-Volmer)
algorithm requires a minimum of two known concentration standards. The
Second Order Polynomial algorithm is defined as:

|
= 1 + K1
* [O] + K2 * [O]2 |
I0
is the fluorescence intensity at zero concentration
I
is the intensity of fluorescence at a pressure p of oxygen,
K1
is the first coefficient
K2
is the second coefficient
If you decide to compensate
for temperature, the relationship between the Second Order Polynomial
algorithm and temperature are defined as:
|
I0
= a0 + b0 * T + c0
* T 2 |
|
K1
= a1 + b1 * T + c1
* T 2 |
|
K2
= a2 + b2 * T + c2
* T 2 |
Henry's Law
It is possible to calibrate the system in gas and then use the probe
in liquid or vice versa. In theory, your sensor probe detects the partial
pressure of oxygen. In order to convert partial pressure to concentration, you
can use Henry's Law. When the temperature is constant, the weight of a gas that
dissolves in a liquid is proportional to the pressure exerted by the gas on the
liquid. Therefore, the pressure of the gas above a solution is proportional to
the concentration of the gas in the solution. The concentration (mole %) can be
calculated if the absolute pressure is known:
Oxygen mole fraction = oxygen partial pressure /
absolute pressure
Since the sensor detects partial pressure of
oxygen, the response in a gas environment is similar to a liquid environment in
equilibrium with gas. Therefore, it is possible to calibrate the sensor in
gas and then use the system with liquid samples and vice versa if you utilize
Henry's Law.
However, Henry's Law does not apply to gases that
are extremely soluble in water. The following information illustrates the
solubility of oxygen in water at different temperatures.
ln(X) = a + b/T* + cln(T*)
Temperature range: 0° C - 75° C
X = mole fraction
T* = T/100 in Kelvin
a -66.7354
b 87.4755
c 24.4526
| T (C) |
T* (T/100K) |
Mole Fraction of oxygen in
water at
1 atmosphere p02 |
Weight Fraction (ppm) at 1
atmosphere p02 (pure 02) |
Weight Fraction (ppm) at
0.209476 atmospheres p02 (air) |
| 5 |
2.7815 |
3.46024E-05 |
61.46203583 |
12.87482142 |
| 10 |
2.8315 |
3.06991E-05 |
54.52891411 |
11.42249881 |
| 15 |
2.8815 |
2.75552E-05 |
48.94460474 |
10.25272002 |
| 20 |
2.9315 |
2.50049E-05 |
44.41468119 |
9.303809756 |
| 25 |
2.9815 |
2.29245E-05 |
40.71933198 |
8.529722785 |
| 30 |
3.0315 |
2.12205E-05 |
37.69265242 |
7.895706058 |
| 35 |
3.0815 |
1.98218E-05 |
35.20817214 |
7.375267068 |
| 40 |
3.1315 |
1.86735E-05 |
33.16861329 |
6.948028438 |
Scattering Media
Fluorescence emissions from the sensor
formulation propagate in all directions. In
clear media, only those emissions propagating toward the fiber within the
acceptance angle of the probe are detected. If the probe tip is held near a
reflecting surface, or immersed in a highly scattering media, the fluorescence
signal will increase. The increase will be proportional for both the intensity
of the fluorescence at a pressure of oxygen and the intensity of fluorescence at
zero pressure of oxygen, but will not affect the Stern-Volmer constant. For this
reason, it is necessary to measure the intensity of fluorescence at zero
pressure of oxygen in the sample. Also, if you are measuring oxygen in highly
scattering media, then the standards you use for your calibration procedure
should be in the same media as your sample for the most accurate results.
Technical
References
-
Wang, W.; Reimers, C.E.;
Wainright, S.C.; Shahriari. M.R.; Morris, M.J. Applying Fiber-Optic Sensors
for Monitoring Dissolved Oxygen. Sea Technology, March 1999, Vol. 40,
No. 3, pp. 69-74.
- Shahriari, M.R.; Murtaugh, M.T.; Kwon, H.C.
Ormosil Thin Films for Chemical Sensing Platforms. Chemical, Biochemical and
Environmental Fiber Sensors IX, 1997, SPIE, Vol. 3105, pp. 40-51.
- Krihak, M.; Shahriari, M.R. A Highly
Sensitive, All Solid State Fiber Optic Oxygen Sensor Based on the Sol-gel
Coating Technique. Electronic Letters, 1996, Vol. 32, No. 3
- Krihak, M.; Murtaugh, M.T.; Shahriari, M.R.
Fiber Optic Oxygen Sensors Based on the Sol-Gel Coating Technique. Chemical,
Biochemical and Environmental Fiber Sensors VIII, 1996, SPIE, Vol. 2836.
- Allen, C.B.; Schneider, B.K.; White, C.J.
Limitations to oxygen diffusion in invitro cell exposure systems in
hyperoxia and hypoxia. American Journal of Physiology Lung Cell Molecular
Physiology, 281: L1021-L1027, 2001.
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