Synthesis of Potato Starch-Acrylic-Acid Hydrogels by Gamma Radiation and Their Application in Dye Adsorptionopen access
- Authors
- Bhuyan, Md. Murshed; Dafader, Nirmal Chandra; Hara, Kazuhiro; Okabe, Hirotaka; Hidaka, Yoshiki; Rahman, Md. Mizanur; Khan, Mohammad Mizanur Rahman; Rahman, Nazia
- Issue Date
- Sep-2016
- Publisher
- HINDAWI LTD
- Citation
- INTERNATIONAL JOURNAL OF POLYMER SCIENCE, v.2016
- Journal Title
- INTERNATIONAL JOURNAL OF POLYMER SCIENCE
- Volume
- 2016
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84543
- DOI
- 10.1155/2016/9867859
- ISSN
- 1687-9422
- Abstract
- Several kinds of acrylic-acid-grafted-starch (starch/AAc) hydrogels were prepared at room temperature (27 degrees C) by applying 5, 10, 15, 20, and 25 kGy of gamma radiation to 15% AAc aqueous solutions containing 5, 7.5, and 15% of starch. With increment of the radiation dose, gel fraction became higher and attained the maximum (96.5%) at 15 kGy, above which the fraction got lowered. On the other hand, the gel fraction monotonically increased with the starch content. Swelling ratios were lower for the starch/AAc hydrogels prepared with higher gamma-ray doses and so with larger starch contents. Significant promotions of the swelling ratios were demonstrated by hydrolysis with NaOH: 13632 +/- 10% for 15 kGy radiation-dosed [5% starch/15% AAc] hydrogel, while the maximum swelling ratio was similar to 200% for those without the treatment. The authors further investigated the availability of the starch/AAc hydrogel as an adsorbent recovering dye waste from the industrial effluents by adopting methylene blue as a model material; the hydrogels showed high dye-capturing coefficients which increase with the starch ratio. The optimum dye adsorption was found to be 576 mg per g of the hydrogel having 7.5 starch and 15% AAc composition. Two kinetic models, (i) pseudo-first-order and (ii) pseudo-second-order kinetic models, were applied to test the experimental data. The latter provided the best correlation of the experimental data compared to the pseudo-first-order model.
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