Bamboo phase quantification using thermogravimetric analysis: deconvolution and machine learning

Vitorino, Fabrício de Campos; Nazarkovsky, Michael; Azadeh, Arash; Martins, Camila Lorrana Freitas; Gomes, Bruno Menezes da Cunha; Dweck, Jo; Filho, Romildo Dias Tolêdo; Savastano, Holmer

doi:10.1007/s10570-022-04921-y

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…[ 37 ], leading to rapid and substantial weight loss and flame burning. Subsequently, under oxidative conditions, charcoal calcination occurs between 400 and 450 °C, replacing the flame-burning process and resulting in a distinct exothermic peak at 439 °C in the DTG curve [ 38 ]. (c) The third stage, ranging from 450 to 800 °C, is characterized by weight stabilization and the formation of a stable structure of carbon slag.…”

Section: Resultsmentioning

confidence: 99%

A Novel Flame-Retardant, Smoke-Suppressing, and Superhydrophobic Transparent Bamboo

Su,

Yang,

Wan

et al. 2024

Research

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Silica glass, known for its brittleness, weight, and non-biodegradable nature, faces challenges in finding suitable alternatives. Transparent wood, made by infusing polymers into wood, shows promise but is hindered by limited availability of wood in China and fire risks associated with its use. This study explores the potential of utilizing bamboo, which has a shorter growth cycle, as a valuable resource for developing flame-retardant, smoke-suppressing, and superhydrophobic transparent bamboo. A 3-layered flame-retardant barrier, composed of a top silane layer, an intermediate layer of SiO 2 formed through hydrolysis-condensation of Na 2 SiO 3 on the surface, and an inner layer of Na 2 SiO 3 , has been confirmed to be effective in reducing heat release, slowing flame spread, and inhibiting the release of combustible volatiles, toxic smoke, and CO. Compared to natural bamboo and other congeneric transparent products, the transparent bamboo displays remarkable superiority, with the majority of parameters being notably lower by an entire order of magnitude. It achieves a long ignition time of 116 s, low total heat release (0.7 MJ/m 2 ), low total smoke production (0.063 m 2 ), and low peak CO concentration (0.008 kg/kg). Moreover, when used as a substrate for perovskite solar cells, the transparent bamboo displays the potential to act as a light management layer, leading to a marked efficiency enhancement of 15.29%. The excellent features of transparent bamboo make it an enticing choice for future advancements in flame-retardant glasses and optical devices.

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Section: Resultsmentioning

confidence: 99%

A Novel Flame-Retardant, Smoke-Suppressing, and Superhydrophobic Transparent Bamboo

Su,

Yang,

Wan

et al. 2024

Research

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“…Therefore, alternatives have been proposed to describe the thermal degradation of materials by using machine learning techniques and the fitting of non-linear process models. For example, the use of KNN regression and artificial neural networks has garnered increased attention for the estimation of product composition in TGA experiments [7,8].…”

Section: Introductionmentioning

confidence: 99%

Determination of Kinetic and Thermodynamic Parameters of Biomass Gasification with TG-FTIR and Regression Model Fitting

Zsinka,

Tarcsay,

Miskolczi

2024

Energies

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In this study, the decomposition of five different raw materials (maize, wheat and piney biomass, industrial wood chips and sunflower husk) were investigated using the TG-FTIR method to obtain raw data for model-based calculations. The data obtained from the thermogravimetric analysis served as a basis for kinetic analysis with three different isoconversional, model-free methods, which were the KAS, FWO and Friedman methods. Afterwards, the activation energy and the pre-exponential factor were determined, and no significant difference could be identified among the used methods (difference was under 5%), achieving 203–270 kJ/mol of Ea on average. Thereafter, the thermodynamic parameters were studied. Based on the TG-FTIR data, a logistic regression model was fitted to the data, which gives information about the thermal degradation and the obtained components with different heating rates. The FTIR analysis resulted in differential peaks corresponding to the studied components that were detected within the temperature range of 350–380 °C. The primary degradation processes occurred within a broader temperature range of 200–600 °C. Accordingly, in this work, the use of logistic mixture models as an alternative to traditional kinetic models for the description of the TGA process was also investigated, reaching adequate performance in fitting by a validation data coefficient of determination of R2 = 0.9988.

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Insight into wheat starch characteristics and fat absorption of breaded fish nuggets during frying

Feng,

Chen,

Chen

et al. 2024

Journal of Food Engineering

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Bamboo phase quantification using thermogravimetric analysis: deconvolution and machine learning

Cited by 4 publications

References 22 publications

A Novel Flame-Retardant, Smoke-Suppressing, and Superhydrophobic Transparent Bamboo

A Novel Flame-Retardant, Smoke-Suppressing, and Superhydrophobic Transparent Bamboo

Determination of Kinetic and Thermodynamic Parameters of Biomass Gasification with TG-FTIR and Regression Model Fitting

Insight into wheat starch characteristics and fat absorption of breaded fish nuggets during frying

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