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Data for the Determination of Total Carbon in Biosolids using MID-Infrared Spectroscopy
N Albuquerque1, B Meehan1, J Hughes1
1School of Science. RMIT University, GPO Box 2476, Melbourne 3001, VIC, Melbourne, Australia.
Data in Brief
|May 9, 2020
Summary
Mid-Infrared (MID-IR) spectroscopy combined with Partial Least Squares (PLS) offers an affordable and effective method for determining total carbon in biosolids. This technique provides a viable alternative to traditional carbon analysis methods.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Spectroscopy
Background:
- Biosolids analysis requires accurate determination of total carbon.
- Conventional methods like Dumas combustion are effective but can be costly and time-consuming.
- Development of alternative, cost-effective analytical techniques is crucial for environmental monitoring.
Purpose of the Study:
- To present data for developing a methodology for total carbon determination in biosolids.
- To evaluate the efficacy of Mid-Infrared (MID-IR) spectroscopy combined with Partial Least Squares (PLS) for this analysis.
- To compare the performance of the MID-IR-PLS method against conventional techniques.
Main Methods:
- Utilized Partial Least Squares (PLS) regression analysis.
- Employed Mid-Infrared (MID-IR) spectroscopy for spectral data acquisition.
- Developed and validated a calibration model for total carbon quantification in biosolids.
Main Results:
- The MID-IR spectroscopy combined with PLS demonstrated a reliable method for total carbon determination.
- The developed method was found to be an acceptable and inexpensive alternative to the Dumas combustion method.
- The LECO C analyser, a conventional method, was used as a benchmark for comparison.
Conclusions:
- MID-IR spectroscopy coupled with PLS is a suitable and economical method for quantifying total carbon in biosolids.
- This approach offers a practical alternative for routine analysis in environmental laboratories.
- The findings support the adoption of spectroscopic methods for efficient biosolids characterization.
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