I have received the FTIR graph after the analysis of the sample but the graph isn't aligned to the baseline. I am attaching the file. Kindly guide me is it the sample or machine error?
(A : The IR spectrum baseline may be curved due to the reasons below.
(1) Effects of scattering (transmission method, specular reflection method, etc.)
The baseline of the transmission spectrum may drop off at the left (%T display) if the sample has a rough surface or contains inorganic compound powder. This is caused by scattering of the infrared light at the sample surface or interior, and this effect is greater for the shorter wavelength. Consequently, an IR spectrum affected by scattering drops more (%T display) towards the short wavelength (high wavenumber) end.
The diagram at the right shows the microscope transmission spectrum of magnesium stearate that drops off to the left due to the effects of scattering.)
Yaseen Ayub thanks for sharing the video, i followed the same tutorial but as you can see the FTIR graph of my sample is quite elevated in fingerprint region so when i try to adjust it, it cuts either the beginning region or fingerprint
Have you ever try to check lamp energy, yet? After that can you repeat run on the PS sheet or any standard material or reference material to check the performance of the instrument, first?
Thiphol Satarpai basically I sent my samples for the analysis to the technician. He performed the analysis. He doesn't know much details. He processed sample from 400 - 4000 cm-1 with scan speed 4 cm-1.
There are a number of potential causes for a baseline error in FTIR spectroscopy. Some common causes include:
Improper instrument alignment or calibration: Before running a sample, it is important to ensure that the instrument is properly aligned and calibrated. This includes ensuring that the beamsplitter, detector, and reference mirror are properly adjusted, and that the instrument is zeroed correctly.
Sample preparation issues: The sample must be prepared correctly, such as ensuring that it is homogenous and free of any contaminants that might interfere with the analysis. The sample should also be placed on the ATR crystal in a consistent and reproducible manner.
Background noise: Interference from ambient light, vibration, or other sources of noise can cause baseline errors in FTIR spectra.
Data processing errors: Improper data processing techniques, such as using the wrong baseline correction algorithm or incorrect integration parameters, can also lead to baseline errors.
It's hard to tell with the information provided. It might be a sample or machine error. It is advisable to check the instrument alignments and sample preparation again and repeat the measurement. If the problem persists, it may be necessary to consult the manufacturer or an expert for further assistance.
The reasons for the baseline error in FTIR spectroscopy can be multifaceted and may include:
Instrumental noise: The baseline error can arise from instrumental noise, including electronic or mechanical noise in the detector, amplifier, or other parts of the instrument. To reduce the noise, it is recommended to optimize the instrument settings and check the system regularly for any malfunctions.
Sample preparation: The baseline error can also be caused by sample preparation errors, such as improper cleaning of the sample cell or contamination of the sample by dust, oil, or water. It is recommended to ensure proper cleaning and handling of the sample cell and the sample to minimize any contamination.
Interference from other sources: The baseline error can also be caused by interference from other sources, such as atmospheric water vapor or carbon dioxide, which can absorb infrared radiation at certain wavelengths. To minimize this interference, it is recommended to use background subtraction or reference materials to correct for the effects of these sources.
Inaccurate or incomplete baseline correction: The baseline error can also arise from an inaccurate or incomplete baseline correction, which can be caused by the choice of the baseline correction method or the selection of the baseline regions. It is recommended to optimize the baseline correction method and regions to minimize any residual errors.
To minimize the baseline error in FTIR spectroscopy, it is important to optimize the instrument settings, ensure proper sample preparation and handling, and apply appropriate baseline correction methods. By doing so, one can obtain accurate and reliable spectral data for chemical analysis and characterization.
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