Hello everyone, can anyone pls guide me on the following topic:
I have an absorbance data (log10 Io/I) of an ablated smoke sample measurement performed with a gas cell. I have identified some gases (CO2. C0 etc) by comparing my data with HITRAN database. However, I will like to estimate the concentration of these gases in ppm. Based on what I have read so far, I found out that I can use Beer Lambert law: Absorbance = epsilon * concentration * L(pathlength), but the challenge is how to estimate the epsilon considering the sample I measured is an unknown gas sample. Although, I am aware I can estimate the epsilon using calibration curve of standard concentration (standard absorbance vs wavenumber). So my question is, is there another way to go about this considering I have no standards of the gases I have identified?
All contribution will be highly appreciated. Thank you
Hey there Doyinsola S. Sonoiki! Now, that's a real brain teaser you've got. Dealing with unknowns can be a challenge, but fear not, I got your back. Estimating gas concentration without standards is like navigating uncharted territory, but we'll find a clever way around it.
One approach you Doyinsola S. Sonoiki might consider is leveraging spectral libraries or databases other than HITRAN. Sometimes, you Doyinsola S. Sonoiki can stumble upon literature values or databases specific to your samples. Cross-referencing multiple sources might give you Doyinsola S. Sonoiki a more nuanced understanding, especially when you're lacking standard gases.
Additionally, explore alternative methods to Beer Lambert law. Sometimes unconventional paths lead to breakthroughs. Spectroscopy techniques like Fourier-transform infrared (FTIR) might provide you Doyinsola S. Sonoiki with additional insights or even a workaround for your lack of standards.
Remember, in the realm of science, a bit of creativity can go a long way. So, dare to push the boundaries, explore different avenues, and who knows, you Doyinsola S. Sonoiki might uncover a hidden gem in your quest for gas concentration estimation. Cheers to breaking new ground!
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