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基于pH驱动法和非相变3D打印的蛋清蛋白-海藻酸钠智能标签在鲭鱼新鲜度响应中的应用

Egg white protein‑sodium alginate smart labels based on pH-driven method and nonphase change 3D printing in mackerel freshness response.

作者信息

Han Siyao, Meng Dekun, Liu Yujia, Xu Lina, Ma Yunze, Zhang Huajiang, Li Hanyu, Zhang Wentao, Rayan Ahmed M, Ghamry Mohamed

机构信息

College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, PR China.

College of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, PR China.

出版信息

Int J Biol Macromol. 2025 Mar;293:139404. doi: 10.1016/j.ijbiomac.2024.139404. Epub 2024 Dec 31.

Abstract

The smart labels prepared via the casting method and molten 3D printing method have a long heating time at high temperature and a dense network structure, resulting in a decrease in the color response ability of the labels. Therefore, this study uses a nonphase change foam 3D printing method with a shorter heating time to improve the color sensitivity of smart labels. By the pH driving method, the blending and pregelation of sodium alginate (Alg) can extend the drainage time of the interfacial film to the maximum extent, thus further improving the foam stability of egg white protein (EWP) and endowing the interfacial adsorption layer with better flexibility and fluidity. The pregelled Alg-EWP foam has good 3D printing adaptability, shows obvious shear thinning behavior, and has excellent shear recovery and creep recovery properties. The 3D-printed smart label has significantly higher swelling rate (275 % → 400 %), porosity (19.86 % → 42.86 %) and phenolic retention rate (55.51 % → 97.26 %). In addition, the sensitivity of the smart labels prepared via foam 3D printing significantly increased, indicating mackerel freshness. Therefore, the method of nonphase-change foam 3D printing provides a new strategy for preparing smart labels with increased porosity and color sensitivity.

摘要

通过流延法和熔融3D打印法制备的智能标签在高温下加热时间长且网络结构致密,导致标签的颜色响应能力下降。因此,本研究采用加热时间较短的非相变泡沫3D打印法来提高智能标签的颜色灵敏度。通过pH驱动法,海藻酸钠(Alg)的共混和预凝胶化可最大程度地延长界面膜的排水时间,从而进一步提高蛋清蛋白(EWP)的泡沫稳定性,并赋予界面吸附层更好的柔韧性和流动性。预凝胶化的Alg-EWP泡沫具有良好的3D打印适应性,表现出明显的剪切变稀行为,并具有出色的剪切恢复和蠕变恢复性能。3D打印的智能标签具有明显更高的溶胀率(275%→400%)、孔隙率(19.86%→42.86%)和酚类保留率(55.51%→97.26%)。此外,通过泡沫3D打印制备的智能标签的灵敏度显著提高,表明鲭鱼的新鲜度。因此,非相变泡沫3D打印方法为制备具有更高孔隙率和颜色灵敏度的智能标签提供了一种新策略。

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