Subtopic Deep Dive

Thermogravimetric Analysis
Research Guide

What is Thermogravimetric Analysis?

Thermogravimetric Analysis (TGA) measures the mass change of a material as a function of temperature or time under controlled atmosphere to assess thermal stability, decomposition kinetics, and composition.

TGA quantifies weight loss from volatilization, decomposition, or oxidation. It couples with evolved gas analysis for mechanism identification. Over 500 papers apply TGA in materials science, with key works like Chen et al. (2014, 135 citations) on microalga kinetics.

15
Curated Papers
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Key Challenges

Why It Matters

TGA determines thermal endurance for polymers in aerospace (Vyazovkin et al., 2013) and biomass pyrolysis kinetics for biofuels (Chen et al., 2014; Dhaundiyal et al., 2018). It predicts long-term stability in pharmaceuticals via sublimation studies (Xie et al., 2003; Ruz Sanjuan et al., 2015). Soil microbial metabolism benefits from TGA-derived thermodynamic data (Barros, 2021).

Key Research Challenges

Non-isothermal kinetics modeling

Extracting activation energies from varying heating rates remains inconsistent across models. Coats-Redfern and Friedman methods yield differing parameters (Dhaundiyal et al., 2018). Standardization lacks consensus (Garn, 1987).

Evolved gas mechanism identification

Linking mass loss steps to specific decomposition products requires hyphenated techniques. Microalga torrefaction shows multi-step kinetics needing gas analysis (Chen et al., 2014). Nanopore confinement alters transitions, complicating interpretation (Farasat et al., 2013).

Vapor pressure estimation accuracy

TGA sublimation data for pharmaceuticals demands precise baseline correction. Cyclodextrin complexation affects volatility measurements (Ruz Sanjuan et al., 2015). HIV inhibitor studies highlight method sensitivity (Xie et al., 2003).

Essential Papers

1.

Isothermal and non-isothermal torrefaction characteristics and kinetics of microalga Scenedesmus obliquus CNW-N

Wei‐Hsin Chen, Zih-Ying Wu, Jo‐Shu Chang · 2014 · Bioresource Technology · 135 citations

2.

Determination of Kinetic Parameters for the Thermal Decomposition of Parthenium hysterophorus

Alok Dhaundiyal, S. B. Singh, Muammel M. Hanon et al. · 2018 · Environmental and Climate Technologies · 67 citations

Abstract A kinetic study of pyrolysis process of Parthenium hysterophorous is carried out by using thermogravimetric analysis (TGA) equipment. The present study investigates the thermal degradation...

3.

Study of Lactic Acid Thermal Behavior Using Thermoanalytical Techniques

Andrea Komesu, Patrícia Fazzio Martins Martinez, Betânia Hoss Lunelli et al. · 2017 · Journal of Chemistry · 51 citations

Actually, there is a growing interest in the biotechnological production of lactic acid by fermentation aiming to substitute fossil fuel routes. The development of an efficient method for its separ...

4.

Thermodynamics of Soil Microbial Metabolism: Applications and Functions

N. Barros · 2021 · Applied Sciences · 35 citations

The thermodynamic characterization of soils would help to study and to understand their strategies for survival, as well as defining their evolutionary state. It is still a challenging goal due to ...

5.

High Temperature Solid–Solid Transition in Ammonium Chloride Confined to Nanopores

Reza Farasat, Benjamin Yancey, Sergey Vyazovkin · 2013 · The Journal of Physical Chemistry C · 25 citations

This paper describes a calorimetric (DSC) study of the high temperature (∼190 °C) solid–solid phase transition in ammonium chloride in silica nanopores (4–30 nm) and in bulk. The study focuses on t...

6.

Heat Capacities of L-Cysteine, L-Serine, L-Threonine, L-Lysine, and L-Methionine

Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al. · 2023 · Molecules · 24 citations

In an effort to establish reliable thermodynamic data for amino acids, heat capacity and phase behavior are reported for L-cysteine (CAS RN: 52-90-4), L-serine (CAS RN: 56-45-1), L-threonine (CAS R...

7.

Reading Guide

Foundational Papers

Start with Chen et al. (2014, 135 citations) for non-isothermal torrefaction kinetics; Garn (1987) for kinetics critique; Xie et al. (2003) for TGA sublimation basics.

Recent Advances

Mansfield and Banash (2023) on nanoparticle TGA advances; Pokorný et al. (2023) for amino acid heat capacities; Barros (2021) for soil microbial thermodynamics.

Core Methods

Isoconversional (FR, KAS, FWO); model-fitting (Coats-Redfern, Avrami-Erofeev); hyphenated TG-MS/FTIR for evolved gases (Chen et al., 2014; Dhaundiyal et al., 2018).

How PapersFlow Helps You Research Thermogravimetric Analysis

Discover & Search

Research Agent uses searchPapers for 'TGA kinetics microalgae' to find Chen et al. (2014, 135 citations), then citationGraph reveals 50+ citing works on biomass decomposition and findSimilarPapers uncovers Dhaundiyal et al. (2018). exaSearch queries 'non-isothermal TGA models' for method comparisons.

Analyze & Verify

Analysis Agent applies readPaperContent to parse kinetic parameters from Chen et al. (2014), runs verifyResponse (CoVe) on activation energy claims, and uses runPythonAnalysis to fit Coats-Redfern models via NumPy on TGA datasets. GRADE grading scores evidence strength for decomposition mechanisms.

Synthesize & Write

Synthesis Agent detects gaps in nanopore TGA studies (Farasat et al., 2013), flags contradictions in kinetics methods, and uses latexEditText with latexSyncCitations for reports. Writing Agent employs latexCompile for figures and exportMermaid for decomposition pathway diagrams.

Use Cases

"Fit kinetic model to microalga TGA data from Chen 2014"

Research Agent → searchPapers → readPaperContent → Analysis Agent → runPythonAnalysis (NumPy isoconversional fitting) → matplotlib plot of Ea vs alpha.

"Write LaTeX review on TGA sublimation in pharmaceuticals"

Synthesis Agent → gap detection → Writing Agent → latexEditText → latexSyncCitations (Xie 2003, Ruz Sanjuan 2015) → latexCompile → PDF with TGA curves.

"Find GitHub repos analyzing TGA nanoparticle data"

Research Agent → paperExtractUrls (Mansfield 2023) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python scripts for TGA baseline correction.

Automated Workflows

Deep Research workflow scans 50+ TGA kinetics papers starting with citationGraph on Chen et al. (2014), producing structured reports with GRADE-scored kinetics models. DeepScan applies 7-step verification to Dhaundiyal et al. (2018) TGA data via CoVe and runPythonAnalysis. Theorizer generates decomposition hypotheses from Barros (2021) soil thermodynamics.

Frequently Asked Questions

What is Thermogravimetric Analysis?

TGA records mass change versus temperature or time under inert or oxidative atmospheres to study decomposition and stability.

What are common TGA kinetic methods?

Model-free isoconversional methods like Friedman and KAS dominate; model-fitting includes Coats-Redfern (Dhaundiyal et al., 2018; Chen et al., 2014).

What are key papers on TGA?

Chen et al. (2014, 135 citations) on microalga torrefaction; Dhaundiyal et al. (2018, 67 citations) on Parthenium pyrolysis; Garn (1987) critiques non-isothermal kinetics.

What are open problems in TGA?

Standardizing kinetics across heating rates; integrating AI for evolved gas analysis; accurate vapor pressure from sub-melting TGA (Xie et al., 2003).

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