Raj G V S Bhagya, Dash Kshirod K
Department of Food Processing Technology, Ghani Khan Choudhury Institute of Engineering and Technology, Narayanpur, Malda, West Bengal 732141 India.
Department of Food Engineering and Technology, Tezpur University, Tezpur, Assam 784028 India.
Food Sci Biotechnol. 2022 Dec 21;32(6):779-792. doi: 10.1007/s10068-022-01220-x. eCollection 2023 May.
The pearl millet based functional pasta was formulated by incorporating freeze dried dragon fruit pulp powder and 2% (w/w) microcapsule containing dragon fruit peel extract. The control pasta consisted of 100% pearl millet flour. The other four functional pasta samples consisted of pearl millet and freeze-dried dragon fruit pulp powder (DFP) in the ratio of 95:5, 90:10, 85:15, and 80:20 (w/w), respectively. The inclusion of dragon fruit powder enhanced the swelling index, water absorption index, color, and functional properties of the pasta. The total phenolic content (0.24-0.43 mg GAE/100 g d.w.), antioxidant activity (17.76-30.67%), and betacyanin content (0.149-0.152 mg/g d.w.) of the pasta was increased with the increase of dragon fruit pulp level in the formulation. The release kinetics of phenolic compounds into the simulated gastric juice was modeled using Higuchi and Peppas- Sahlin models. Out of these two models Peppas- Sahlin model ( and ) found to predict the release of phenolics into simulated gastric juice with respect to time of release when compared with Higuchi model ( and ). The onset of transition temperature and enthalpy of gelatinization of pasta samples was found to be in the range of 66.321-74.681 °C and increased with the increase of dragon fruit level in the formulation.
通过加入冻干火龙果果肉粉和2%(w/w)含有火龙果果皮提取物的微胶囊,制备了基于珍珠粟的功能性意大利面。对照意大利面由100%珍珠粟面粉组成。其他四个功能性意大利面样品分别由珍珠粟和冻干火龙果果肉粉(DFP)按95:5、90:10、85:15和80:20(w/w)的比例组成。加入火龙果粉提高了意大利面的膨胀指数、吸水性指数、色泽和功能特性。随着配方中火龙果果肉含量的增加,意大利面的总酚含量(0.24 - 0.43毫克GAE/100克干重)、抗氧化活性(17.76 - 30.67%)和甜菜色素含量(0.149 - 0.152毫克/克干重)均有所增加。使用Higuchi模型和Peppas - Sahlin模型对酚类化合物在模拟胃液中的释放动力学进行了建模。与Higuchi模型( 和 )相比,发现这两个模型中的Peppas - Sahlin模型( 和 )能够预测酚类化合物在模拟胃液中随释放时间的释放情况。发现意大利面样品的转变温度起始点和糊化焓在66.321 - 74.681°C范围内,并随着配方中火龙果含量的增加而增加。