Application of Response Surface Methodology Models for Dimensional Stability of Hydrothermally Treated Semantan Bamboo Article Swipe

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Zaidon Ashaari , Seng Hua Lee , Juliana Abdul Halip , Wei Chen Lum , Ching Hao Lee ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.35940/ijrte.b1089.0782s419

Semantan bamboo (Gigantochloa Scortechinii) was hydrothermally treated in three different buffered media, namely alkaline, neutral and acidic medium. Response surface methodology (RSM) models were developed for the influences of treatment temperature, treatment duration and pH of buffered media on dimensional stability of Semantan bamboo. The models suggested that treatment temperature is the most crucial factor that led to improvement in dimensional stability. Lengthened treatment time also exerted noticeable influence when the temperature remained constant. More dimensionally stable samples were obtained in neutral and alkaline media.

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Bamboo

Response Surface Methodology

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Bamboo Response surface methodology Stability (learning theory) Materials science Chemical engineering Composite material Chemistry Chromatography Computer science Engineering Machine learning

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Type: article
Language: en
Landing Page: http://doi.org/10.35940/ijrte.b1089.0782s419
PDF: https://doi.org/10.35940/ijrte.b1089.0782s419
OA Status: diamond
Cited By: 2
References: 11
Related Works: 10
OpenAlex ID: https://openalex.org/W4241779849

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DOI: https://doi.org/10.35940/ijrte.b1089.0782s419

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Title: Application of Response Surface Methodology Models for Dimensional Stability of Hydrothermally Treated Semantan Bamboo

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Type: article

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Language: en

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Publication year: 2019

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Publication date: 2019-08-27

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Authors: Zaidon Ashaari, Seng Hua Lee, Juliana Abdul Halip, Wei Chen Lum, Ching Hao Lee

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Landing page: https://doi.org/10.35940/ijrte.b1089.0782s419

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PDF URL: https://doi.org/10.35940/ijrte.b1089.0782s419

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OA URL: https://doi.org/10.35940/ijrte.b1089.0782s419

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Concepts: Bamboo, Response surface methodology, Stability (learning theory), Materials science, Chemical engineering, Composite material, Chemistry, Chromatography, Computer science, Engineering, Machine learning

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Cited by: 2

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