Linganisha mbinu

	Uchambuzi wa Thermogravimetric	Eneo la uso wa uso la BET	Uchanganuzi wa Raman
Nyanja	Sayansi ya Vifaa	Sayansi ya Vifaa	Sayansi ya Vifaa
Familia	Process / pipeline	Process / pipeline	Process / pipeline
Mwaka wa asili	1960s	1938	1928
Mwanzilishi	William W. Wendlandt	Brunauer, Emmett, Teller	Chandrasekhara Venkata Raman
Aina	Characterization method	Measurement method	Analytical technique
Chanzo asilia	Wendlandt, W. W. (1986). Thermal Analysis (3rd ed.). John Wiley & Sons.	Brunauer, S., Emmett, P. H., & Teller, E. (1938). Adsorption of gases in multimolecular layers. Journal of the American Chemical Society, 60(2), 309-319.	Raman, C. V., & Krishnan, K. S. (1928). The scattering of light by molecules. Nature, 121(3048), 501-502.
Majina mbadala	TGA, thermal gravimetry, thermogravimetry	BET analysis, nitrogen adsorption, surface area measurement	Raman deconvolution, Raman peak fitting, spectral analysis
Zinazohusiana	3	3	3
Muhtasari	Thermogravimetric Analysis (TGA) is a thermal characterization technique that continuously measures mass loss or gain of a material as a function of temperature (or time at constant temperature). Developed systematically by William Wendlandt and colleagues in the 1960s, TGA identifies thermal transitions (evaporation, decomposition, oxidation, reduction) and quantifies composition of polymers, pharmaceuticals, ceramics, and other materials. The derivative signal (DTG) highlights transition temperatures. When combined with gas analysis (MS, FTIR), decomposition products are identified.	Brunauer-Emmett-Teller (BET) Surface Area Analysis is a technique for measuring the specific surface area of solids by analyzing their nitrogen adsorption isotherms. Developed by Brunauer, Emmett, and Teller in 1938, BET theory extends monolayer adsorption (Langmuir) to multilayer adsorption, enabling quantification of surface area of porous and powdered materials. It is the industry standard for characterizing catalysts, adsorbents, pharmaceuticals, and porous materials, providing critical data for performance prediction and quality control.	Raman Deconvolution is the mathematical decomposition of experimental Raman spectra into constituent peaks using spectral fitting algorithms. Building on Raman spectroscopy (discovered by C.V. Raman in 1928), Raman deconvolution resolves overlapping vibrational bands into individual component peaks, revealing detailed information about molecular bonds, crystal phases, strain, and defects. This quantitative analysis transforms raw Raman spectra into actionable chemical and structural insights, making it essential for materials characterization, quality control, and scientific discovery.