ArticleACS sustainable resource management2025
Biochar Stability Revealed by FTIR and Machine Learning.
Article in ACS sustainable resource management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Adsorption performance and mechanism of MgAl-LDHs@FRBCs/FeRSC advances · 2026Article
- Integrated Valorization of Rice Husk by Pressurized Liquid Extraction: Phenolic-Rich Extract Recovery, Reduced 5-HMF Formation, and Preservation of a Cellulosic Co-Product.Antioxidants (Basel, Switzerland) · 2026Article
- Comparative Adsorption Behavior of Orange Peel Powder and Its Chars for Dye Removal.ACS omega · 2026Article
- Computational framework for multi-objective optimization of activated biochar properties using machine learning and evolutionary algorithms.Scientific reports · 2026Article
- Characterization of Biochar from Prunus armeniaca shells collected in cold desert Kargil, Ladakh, as a soil enhancer.Scientific reports · 2026Article
- Molecular signature evolution of coal-derived dissolved organic matter under geothermal conditions: FT-ICR MS and machine learning.PloS one · 2026Article
- Development of biochar adsorbents based on walnut shell with magnetic modification for efficient crude oil removal from water.Scientific reports · 2025Article
- Valorization of Tomato Stem Waste: Biochar as a Filler in Three-Dimensional Printed PLA Composites.Polymers · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biochar is a carbon-rich and environmentally recalcitrant material, with strong potential for climate change mitigation. There is a need for rapid and accessible estimations of biochar stability, the resistance to biotic and abiotic degradation in soil. This study builds on previous work by integrating Fourier-transform infrared spectroscopy (FTIR) data with predictive modeling to estimate standard stability indicators: H:C and O:C molar ratios. Lignocellulosic feedstocks were pyrolyzed at highest treatment temperatures (HTT) ranging from 150-700 °C, and all samples achieved H:C < 0.7 and O:C < 0.4 at HTT of 400 °C and above. Several statistical and machine learning models were developed using FTIR spectra. The random forest (RF) models, which incorporated full data preprocessing, yielded the highest accuracy (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.