Many of current bio-based materials are not fully or partly used for material utilization, as the composition of their raw materials and/or possible applications are unknown. This study deals with the analysis of the wood extractives from three different tissue of larch wood: Sapwood mainly from outer part of the log, and sound knotwood as well as dead knotwood. The extractions were performed with an accelerated solvent extractor (ASE) using hexane and acetone/water. The obtained extracts were analyzed by gas chromatography coupled to mass spectrometry (GC-MS). Three various vibrational spectroscopy (FT-RAMAN, FT-IR and FT-NIR) methods reflect the information from the extracts to the chemical composition of the types of wood before the extraction processes. Multivariate data analysis of the spectra was used to obtain a better insight into possible classification methods. Taxifolin and kaempferol were found in larger amount in sound knotwood samples compared to larch wood with high percentage of sapwood and dead knotwood samples. While the extractions of dead knotwood samples yielded more larixol and resin acids than the other larch wood samples used. Based on the chemical composition, three lead compounds were defined for the classification of the different wood raw materials. The vibrational spectroscopy methods were applied to show their potential for a possible distinction of the three types of larch wood tissue. This new insight into the different larch wood extracts will help in the current efforts to use more environmentally friendly raw materials for innovative applications. The connection between the raw materials and extraction yields of the target values is important to transform the results from the laboratory to industry and consumer applications.
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http://dx.doi.org/10.3390/polym12020359 | DOI Listing |
J Environ Manage
December 2024
Department of Ecology and Biogeography, Nicolaus Copernicus University in Toruń, Poland; Centre for Climate Change Research, Nicolaus Copernicus University in Toruń, Poland.
Int J Biol Macromol
December 2024
College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China. Electronic address:
The development of tannins adhesives with high performance and eco-friendly properties is crucial for addressing the dependence of traditional formaldehyde-based wood adhesives on petrochemical resources and the harm of formaldehyde emission. However, conventional methods for preparing tannins adhesives generally involve the use of tannins with high mean degree of polymerization (mDP) and formaldehyde, resulting in poor bonding properties and formaldehyde emission, hindering their industrial application. Herein, the larch tannins (LT) were degraded by photocatalytic degradation to obtain tannins with different mDP, and the tannins glyoxal (G) adhesives were synthesized with different mass ratios of G to LT, then used to prepare plywood with poplar veneer.
View Article and Find Full Text PDFPolymers (Basel)
October 2024
Faculty for Forestry and Wood Technology, Mendel University in Brno, Zemedelska 1, 61300 Brno, Czech Republic.
The continuous rise in global demand for wood products has led to an increase in prices and a surge in research into alternative resources. As a byproduct of the timber industry, bark has emerged as a promising supplement in particleboard (PB) production. However, its anatomical structure, the presence of extractives, and its inferior mechanical properties complicate the production process, which have not yet been fully overcome at a commercial scale.
View Article and Find Full Text PDFMol Plant Pathol
October 2024
Key Laboratory of Alien Forest Pest Detection and Control-Heilongjiang Province, School of Forestry, Northeast Forestry University, Harbin, China.
Ying Yong Sheng Tai Xue Bao
August 2024
Liaoning Forestry Investigation, Planning and Monitoring Institute, Shenyang 110121, China.
As an important branch characteristic factor, the quantity of branches could influence crown structure, tree growth, and wood quality. Taking plantation in Dagujia Forest Farm, Qingyuan County, Liao-ning Province as the research object, we developed a mixed effect prediction model of the first-order branches quantity of including sprouting branches based on the negative binomial distribution model, and a mixed effect prediction model of the first-order branches density of including sprouting branches based on the negative exponential model. The results showed that the mixed effect model considering sample level as the random effect effectively decreased the heteroscedasticity and autocorrelation.
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