Skip to content
DraconiticResearch
Search Sources API
174,684 studies31 sourcesUpdated 55 min ago
Peer-reviewedCC BYFoods (Basel, Switzerland)

Cationic Starch and Polyvinyl Alcohol Composite Sheets Produced by Extrusion-Calendering.

  • Juliano Zanela1,2
  • Ana Paula Bilck1
  • Gracielle Johann2
  • Marianne Ayumi Shirai3
  • Maria Victoria Eiras Grossmann1
  • Fabio Yamashita1
  1. 1Department of Food Science and Technology, Universidade Estadual de Londrina, Rod. Celso Garcia Cid (PR 445), km 380, P.O. Box 6001, Londrina 86051-990, PR, Brazil.
  2. 2Bioprocess Engineering and Biotechnology Course, Federal University of Technology-Paraná, Estrada para Boa Esperança, Km 04, Dois Vizinhos 85660-000, PR, Brazil.
  3. 3Department of Food Technology, Federal University of Technology-Paraná, João Miguel Caram, 731, Londrina 86036-700, PR, Brazil.
Read full textPDFDOICite

Abstract

This study evaluated the effect of cationic cassava starch with different degrees of substitution (DS: 0.019, 0.027, and 0.033 mol/mol) and polyvinyl alcohol (PVA) with different hydrolysis degrees (HD: 88 and 98%) on the properties of sheets produced by extrusion-calendering, using glycerol as a plasticizer. Machine learning (ML) models were used to predict sheet properties. The HD influenced material properties more significantly than the DS of cationic starch, with higher HD PVA yielding superior mechanical performance regardless of starch type. The sheets exhibited high thermal stability and processing continuity during extrusion-calendering, demonstrating laboratory-scale production viability. ML demonstrated that Gradient Boosting models better predicted tensile strength and elongation at break with R² ~0.98 and MAPE of the 7.1 and 2.8%, respectively; the Young's modulus was adequately predicted by the Decision Tree model (R² ~0.96 and MAPE ~8.1%) and the apparent opacity was better predicted by the Extreme Gradient Boosting model (R² ~0.90 and MAPE ~4.7%). For these adjustments, the HD was more important than DS when predicting the properties of the sheets, as observed experimentally.

Related

  1. Enhancement of bioactivity in polyvinyl alcohol/fucoidan-based composite electrospun films via
    Teng Zhang, Jie Li, Huifang Lan +9
    Food Chemistry: XPeer-reviewedCC BYFull textMaterials & polymersDOAJ
  2. Obtaining Filtration Flat Membranes From Recycled Polyvinyl Butyral
    Jean‐luc Trompette, Nicolas Caussé, Ghislain Denis +1
    Journal of Applied Polymer SciencePeer-reviewedPublisher termsFull textMaterials & polymersHAL
  3. Evaluation of keratinocyte viability on polyvinyl alcohol/sodium alginate/(hydroxyapatite/dysprosium oxide) scaffolds
    S. Ruiz-Salgado, D. Salado-Leza, M. Morales-Sánchez +4
    RSC advancesPeer-reviewedCC BY-NCFull textGeneral chemistryEurope PMC
  4. Mechano-electric response of tribopositive, fluoropolymer-free polyvinyl acetate nanogenerators in multiple contact electrification
    Petr Slobodian, Pavel Riha, Berenika Hausnerova
    iSciencePeer-reviewedCC BY 4.0Full textMaterials & polymersCell PressCrossrefEurope PMC
  5. Sulfate resistance of polyvinyl alcohol and basalt fibers reinforced red mud concrete
    Fuchao Xu, Ao Liu, Zhen Liu +1
    PLOS OnePeer-reviewedCC BY 4.0Full textMaterials & polymersPLOS

Cite

BibTeXRIS
BibTeX
@article{zanela2026cationic,
  title = {{Cationic Starch and Polyvinyl Alcohol Composite Sheets Produced by Extrusion-Calendering.}},
  author = {Juliano Zanela and Ana Paula Bilck and Gracielle Johann and Marianne Ayumi Shirai and Maria Victoria Eiras Grossmann and Fabio Yamashita},
  journal = {Foods (Basel, Switzerland)},
  year = {2026},
  month = sep,
  doi = {10.3390/foods15193360},
  url = {https://europepmc.org/article/MED/42883467},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Cationic Starch and Polyvinyl Alcohol Composite Sheets Produced by Extrusion-Calendering.
AU  - Juliano Zanela
AU  - Ana Paula Bilck
AU  - Gracielle Johann
AU  - Marianne Ayumi Shirai
AU  - Maria Victoria Eiras Grossmann
AU  - Fabio Yamashita
PY  - 2026
DA  - 2026/09/22
JO  - Foods (Basel, Switzerland)
DO  - 10.3390/foods15193360
UR  - https://europepmc.org/article/MED/42883467
AB  - This study evaluated the effect of cationic cassava starch with different degrees of substitution (DS: 0.019, 0.027, and 0.033 mol/mol) and polyvinyl alcohol (PVA) with different hydrolysis degrees (HD: 88 and 98%) on the properties of sheets produced by extrusion-calendering, using glycerol as a plasticizer. Machine learning (ML) models were used to predict sheet properties. The HD influenced material properties more significantly than the DS of cationic starch, with higher HD PVA yielding superior mechanical performance regardless of starch type. The sheets exhibited high thermal stability and processing continuity during extrusion-calendering, demonstrating laboratory-scale production viability. ML demonstrated that Gradient Boosting models better predicted tensile strength and elongation at break with R² ~0.98 and MAPE of the 7.1 and 2.8%, respectively; the Young's modulus was adequately predicted by the Decision Tree model (R² ~0.96 and MAPE ~8.1%) and the apparent opacity was better predicted by the Extreme Gradient Boosting model (R² ~0.90 and MAPE ~4.7%). For these adjustments, the HD was more important than DS when predicting the properties of the sheets, as observed experimentally.
SN  - 2304-8158
ER  -