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The infrared (IR) region of the spectrum lies to the right of the red end of the visible spectrum. We are unable to see this light although certain animals such as the pit viper can, enabling them to hunt at night. IR radiation was first described by William Herschel in 1800. He produced a solar spectrum by placing a glass prism in the path of the sun's rays and observed the changes, which took place when light of different wavelengths (different colors) fell onto the bulb of a sensitive thermometer. He noticed that the temperature increased as the thermometer was moved from blue to red, but he also found that the thermometer registered even beyond the red end of the visible spectrum. Subsequent experiments showed that this portion beyond the red was composed of a similar type of radiation to visible light, in that it could be reflected, refracted and absorbed by materials, which would reflect, refract and absorb visible light.
IR in Action
An analogous way of visualizing this phenomenon is demonstrated by Hooke's law of springs, where the amount of energy to start the spring oscillating is related to the strength of the spring and the mass on the end. In this case, it is the energy of the absorbed IR and the nature of the bond between the C and H atoms. The amount of energy in the IR beam is related to its wavelength; the smaller the wavelength the more energy. Although in this case only the exact energy required to cause vibration is absorbed. All other energies both smaller and greater have no effect.
Therefore, for a molecule with several different kinds of bonds (for example, a C-H and a C=O), one would expect to see at least two different absorption bands. Chemical bonds within a molecule are therefore said to exhibit characteristic IR absorptions. It is this property that is utilized by the analytical chemist. Chemists refer to these absorbencies as wavenumbers. This is a more convenient way of discussing the frequency of the absorbed radiation, and is simply the number of waves in one centimeter. The final piece to the equation is how much of this radiation is absorbed. This is given by a simple law called the Beer-Lambert law that states the amount of IR absorbed is proportional to the concentration of the absorbing species and the distance the IR light has to travel through it.What is FTIR?
The original method involved using a prism or diffraction grating to separate the individual wavenumbers and then detect them, portions at a time, as they were passed through the sample, and plot the absorbance against the wavenumber. This process was incredibly slow and, depending on the accuracy required, could take as long as 10 minutes per sample.
Modern Fourier transform infrared (FTIR) uses the Michelson interferometer. This nifty device utilizes a moving mirror, whose speed is monitored by a laser, which also acts as a wavelength reference. The detector then measures the summation of all the frequencies over time resulting in a time-dependent interference pattern called an interferogram. A computer algorithm called a fast Fourier transform is then used to convert this signal to an absorbance spectrum. This is then ratioed to a background spectrum of the empty cell to remove the contribution of atmospheric contaminants such as CO2 and water vapor. This whole process takes as little as 1½ seconds per scan which allows for multiple scans on the same sample and for amplifying signal differences so that minute variations can be detected, giving greater accuracy.
Several years ago, Wearcheck purchased a new Biorad FTIR. This represented two major changes in the methodology for determining oil degradation and combustion by-products.
Spectral subtraction was replaced with computational interrogation of the IR spectrum and the resultant data trended.
The horizontal attenuated total reflectance (HATR) cell was replaced with a 100-micron transmission cell.
Spectral Subtraction vs Trending
There are various computer algorithms which can automate this process, thus removing any operator interpretation or bias. However these algorithms cannot address the strict requirement for using the correct new oil in the subtraction process.
Such a requirement complicates the overall laboratory procedure because the exact new fluid placed in the machine must be submitted, tracked, stored and correctly recalled and remeasured with all later samples from the same machine. Additionally, oil in machines is topped-up periodically to compensate for oil consumption which further complicates the subtraction process. Although the top-up oil may be the correct type, it may not be the same manufacturer, lot number or even the same blend. These complications will inevitably produce misleading or incorrect results.
Wearcheck has therefore adopted a simple trending methodology to eliminate the problems associated with spectral subtraction. In this method, areas under the IR curve are measured and reported. The key to successful implementation is the careful selection of appropriate areas to be measured. (This work was carried out by Biorad and is embedded in the FTIR control software.) These measurements can then be compared to either the expected IR response from similar or identical machine components, or to the set of previous IR measurements from the same machine. If a particular parameter is maintaining a constant value and no adverse wear or performance degradation is apparent, then there is no reason why that parameter should be unacceptable. However, what is acceptable in one component performing a particular type of operation may not be acceptable in another component performing a different type of operation. As long as the overall analysis with respect to trend remains constant, a state of normality is assumed. This trending methodology is already utilized in wear metal analysis by ICP. Using this method and the conversion of spectral data into numerical condition indicator data simplifies tracking and documentation and greatly reduces storage requirements because neither the new oil sample or its spectrum needs to be saved.
HATR Cell vs Transmission Cell
The cell could be easily scratched by metal particles found in the used oil.
Low sensitivity was experienced due to the small beam penetration.
It was manually intensive, with potential exposure of the operator to cleaning solvents.
A more recent addition to sampling techniques is the transmission cell. This consists of two ZnSe crystals separated by a 100-micron spacer. The oil sample occupies the space between the two crystals and the IR beam passes directly through the cell and sample to the detector. This has the following benefits:
A twentyfold increase in sensitivity.
The filling and cleaning of the cell can be automated.
Cell damage is eliminated by an inline filter designed to remove particles big enough to scratch the crystals.
FTIR determines the level of oxidation by a general response in the carbonyl (C=O) region of between 1,800 to 1,670 cm-1 (Figures 1 and 4). In this region, IR energy is absorbed due to the carbon oxygen bonds in the oxidized oil. Very few compounds found in new petroleum lubricants have significant absorbencies in this area. Monitoring this region is thus a direct measurement of the oxidation level, as compared to secondary technique such as the acid number (AN), which takes into account all the acidic species in the oil.
Figure 4. Absorption Wavenumbers for FTIRNitration Products
Nitration products can be monitored by FTIR because they have a characteristic absorbance between 1,650 to 1,600 cm-1, the region immediately below that of the oxidation products.Sulfation Products
The FTIR analysis of soot is an exception to the general approach, that the area under the curve indicates the amount of other contaminant parameters, because soot lacks any specific IR absorption bands. Instead, the soot particles cause a general scattering of the IR radiation, which is more severe at higher wavenumbers. Therefore, soot loading is simply measured by taking the absorbance intensity at 2,000 cm-1.Fuel Dilution
In an ideal situation, the choice of the fuel remains constant and FTIR becomes a powerful tool in detecting fuel dilution. This is accomplished by measuring the absorption bands of the specific components of the fuel and the drop in the absorption bands of the oil as it is diluted (Figure 2).
In light of the real and nonideal situation, fuel dilution is usually determined by flashpoint measurements or gas chromatography (GC).Predictive Technology
The BN of an oil sample cannot be easily defined by IR analysis. BN depends on a wide range of factors with varying degrees of influence. Principle component regression and partial least squares (PCR/PLS) analyses are mathematical routines which have allowed the laboratory to predict the apparent BN of a sample. This method uses the whole spectrum instead of an individual peak or discrete area to derive a value for an unknown.
A series of 80 oils with duplicate BN values was used to create a training set, to establish the measurement criteria. These oils came from various engines, various lubricant manufacturers, differing grades and were not limited to any particular application. The software was used to break down the training set into a smaller set of principal components or factors. These factors were then integrated to predict the unknown. This process avoids unnecessary wastage and consequently only seven percent of samples have an actual BN measurement performed. Of these more than 70 percent fall in the 3-to-7 range.
Although FTIR provides a wealth of information about the condition of used lubricating oil, this information is complementary to that obtained by various other spectroscopic and physical property tests to give an overall picture of the condition of the oil and machinery in which it is used.References
B.W. Cook and K. Jones. A Programmed Introduction to Infrared Spectroscopy, 1972.
B. George and P. McIntyre. Infrared Spectroscopy, 1987.
JOAP international condition monitoring conference, 1994.
Condition monitoring conference, 1994.
A. Geach. "Infrared Analysis as a Tool for Assessing Degradation in Used Engine Oils." Wearcheck Technical Bulletin No. 2.
J.R. Powell and A.M. Toms. "Molecular Analysis in Engine Condition Monitoring." Biorad presentation material.
J.R. Powell and A.M. Toms. "Molecular Analysis of Lubricants by FTIR Spectroscopy." FTS/IR Notes No. 114, 1997.
This article was originally published by Wearcheck Africa, a member of the Set Point group.