Characteristics ofThree Bamboo Species andTheir Potential as Raw Materials for Oriented Strand Board Production
Bibliographic record
Abstract
Indonesia, with its vast forested regions, has experienced significant deforestation, adversely affecting the wood industry. As a result, alternative sources of lignocellulosic biomass are required to mitigate this impact. Among the abundant lignocellulosic raw materials in Indonesia, particularly in Sumatra, bamboo stands out as a promising substitute. Bamboo is a highly versatile resource, suitable for various applications, including its use as a composite raw material to replace traditional wood-based products. This research work aimed to investigate and evaluate the characteristics—morphology, anatomy, physical and mechanical properties, chemical composition, starch content, and natural resistance—of three bamboo species: hitam bamboo (Gigantochloa atroviolacea), betung bamboo (Dendrocalamus asper), and belangke bamboo (Gigantochloa pruriens), as well as their suitability for the production of oriented strand boards (OSB). The lumen values of the bamboo samples ranged between 10 and 15 μm, with hitam and betung bamboo exhibiting medium-thickness cell walls (>5 μm). Based on fiber dimension analysis, belangke, and betung bamboo are classified within quality class II, whereas hitam bamboo falls into class I. The highest recorded tensile, shear, and compressive mechanical strength values were observed at the tips of hitam bamboo, measuring 563.43 MPa, 15 MPa, and 6.87 kN/mm2, respectively. The bamboo samples underwent three different treatments: (1) immersion in water for 24 h, (2) autoclaving at 120°C for 1 h, and (3) a control group with no treatment. OSB panels were produced with dimensions of 20 cm × 20 cm × 1 cm (length × width × thickness) using isocyanate adhesive and conditioned for 14 days. The physical and mechanical properties of the OSBs were evaluated based on the Japan Industrial Standard (JIS) A 5908:2003 and the Canadian Standards Association (CSA) 0437.0:2011 criteria. The density of the laboratory-produced OSB panels ranged from 0.60 to 0.73 g/cm3, moisture content varied from 5.4% to 8.1%, water absorption ranged between 31.6% and 45.8%, and thickness swelling was recorded at 5.1% to 16.3%. The modulus of elasticity (MOE) ranged from 2745.1 to 7813.3 MPa, the modulus of rupture (MOR) from 30.8 to 58.8 MPa, and internal bonding (IB) from 0.27 to 0.47 MPa. Overall, all OSB panels produced in this study met the specifications outlined in JIS A 5908 (2003) and CSA 0437.0 (2011), demonstrating the viability of these bamboo species as raw materials for OSB production.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.008 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".