| Title | Preparation of cellulose fiber derived from sugarcane bagasse and polyvinyl alcohol (PVA)-based hydrogel composite by gamma irradiation as a platform for colorimetric sensor |
|---|---|
| ID_Doc | 14958 |
| Authors | Khiewsawai, N; Rattanawongwiboon, T; Tangwongputti, C; Ummartyotin, S |
| Title | Preparation of cellulose fiber derived from sugarcane bagasse and polyvinyl alcohol (PVA)-based hydrogel composite by gamma irradiation as a platform for colorimetric sensor |
| Year | 2023 |
| Published | Emergent Materials, 6, 6 |
| Abstract | Cellulose fiber was successfully extracted and purified from sugarcane bagasse by using an alkali treatment process and bleaching. It was employed to use as a reinforcement part in polyvinyl alcohol (PVA) and polyethylene glycol diacrylate composite (PEGDA). The weight ratio of cellulose and PVA was set to 1:1. Gamma irradiation technique with various doses ranging from 10 to 50 kGy was employed. The presence of C-H stretching, O-H stretching, and C=O stretching was observed. Less intensity of X-ray diffraction was observed, suggesting that cellulose was embedded into the polymer blend matrix. It was thermally stable at 200 degrees C. The compressive strength was in the range of 10-20 MPa. By using a low irradiation dose, gel fraction was less, while swelling behavior and porosity were relatively high. A total of 85-90% of gel fraction, 100-300% of swelling behavior, and 95-97% of porosity were observed. The morphological properties exhibited as a porous network. The role of methyl red was employed as a color agent to react with volatile gas. The color was changed from red to yellow with respect to the increment of time. The characteristic peaks of 425 nm and 525 nm were observed due to yellow and red color, respectively. Preliminary test of hydrogel composite as a platform for colorimetric sensor was tested for durian ripeness. It was remarkably noted that hydrogel composite prepared by gamma irradiation technique was considered as an excellent candidate material for food sensory prediction. |
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