journal article·2021-09-01

Technological evaluation of Pinus maximinoi wood for industrial use in kraft pulp production

MARINA ULIAN COELHO, FRANCIDES GOMES DA SILVA, JR., FLAVIANA REIS MILAGRES, SILVANA MEISTER SOMMER, CARLOS AUGUSTO SOARES DO AMARAL, FABRÍCIO ANTÔNIO BIERNASKI

TAPPI Journal· Volume 20· Issue 8
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Abstract

This study characterized Pinus maximinoi wood and evaluated its performance for pulp production. Samples of Pinus taeda wood were used as reference material. For both species, wood chips from 14-year-old trees were used for the technological characterization, pulping, bleaching process analysis, and pulp properties. A modified kraft pulping process was carried out targeting kappa number 28±5% on brownstock pulp. The bleaching sequence was applied for bleached pulp with final brightness of 87±1 % ISO. Refinability and resistance properties were measured in the bleached pulps. Compared to P. taeda wood, P. maximinoi showed slightly higher basic density (0.399 g/cm³) and higher holocellulose (64.5%), lignin (31.1%), and extractives content (4.5%), along with lower ash content (0.16%). P. maximinoi tracheids showed greater wall thickness (6.4 µm) when compared to P. taeda tracheids. For the same kappa number, P. maximinoi and P. taeda resulted in similar screened yield, with an advantage observed for P. maximinoi, which resulted in lower specific wood consumption (5.281 m³/o.d. metric ton), and lower black liquor solids (1.613 metric tons/o.d. metric ton). After oxygen delignification, P. maximinoi pulp showed higher efficiency on kappa reduction (67.2%) and similar bleaching chemical demand as P. taeda pulp. Compared to P. taeda pulps, the refined P. maximinoi pulps had similar results and the bulk property was 10% higher. Results showed that P. maximinoi is an interesting alternative raw material for softwood pulp production in Brazil.
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Research context

OpenAlex topics: Lignin and Wood Chemistry · Botanical Research and Applications · Plant Diversity and Evolution

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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