Rathee Shweta, Ojha Ankur, Singh Kshitij Rb, Arora Vinkel Kumar, Prabhakar Pramod Kumar, Agnihotri Shekhar, Chauhan Komal, Singh Jay, Shukla Shruti
Department of Food Science and Technology, National Institute of Food Science Technology Entrepreneurship and Management, Kundli, Sonipat, India.
Department of Chemistry, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Heliyon. 2023 Sep 6;9(9):e19890. doi: 10.1016/j.heliyon.2023.e19890. eCollection 2023 Sep.
Goat milk gels (GMGs) are popular food due to their high water content, low-calorie density, appealing taste, texture enhancers, stability, and satiety-enhancing characteristics, making them ideal for achieving food security and zero hunger. The GMGs were optimized using the central composite design matrix of response surface methodology using goat milk powder (35-55 g), whole milk powder (10-25 g), and potato powder (10-15 g) as independent variables. In contrast, complex modulus, flow stress, and forward extrudability were chosen as dependent variables. The maximum value of complex modulus 33670.9 N, good flow stress 7863.6 N, and good extrudability 65.32 N was achieved under optimal conditions. The optimized goat milk gel was fortified with ascorbic acid-coated iron oxide nanoparticle (magnetic nature) decorated alginate-chitosan nanoparticles (AA-MNP@CANPs), making it nutritionally rich in an economically feasible way-the decorated AA-MNP@CANPs characterized for size, shape, crystallinity, surface charge, and optical characteristics. Finally, the optimized fortified smart GMGs were further characterized Scanning electron microscopy, Rheology, Texture profile analysis, Fourier transforms infrared (FTIR), and X-Ray Diffraction (XRD). The fortified smart GMGs carry more nutritional diversity, targeted iron delivery, and the fundamental sustainability development goal of food security.
山羊奶凝胶(GMGs)因其高含水量、低热量密度、诱人的口感、质地增强剂、稳定性和增强饱腹感的特性而成为受欢迎的食品,使其成为实现粮食安全和零饥饿的理想选择。使用响应面法的中心复合设计矩阵,以山羊奶粉(35 - 55克)、全脂奶粉(10 - 25克)和马铃薯粉(10 - 15克)作为自变量对GMGs进行优化。相比之下,选择复数模量、流动应力和正向挤出性作为因变量。在最佳条件下,复数模量的最大值为33670.9牛,良好的流动应力为7863.6牛,良好的挤出性为65.32牛。优化后的山羊奶凝胶用抗坏血酸包覆的氧化铁纳米颗粒(具有磁性)修饰的海藻酸盐-壳聚糖纳米颗粒(AA-MNP@CANPs)进行强化,使其在经济上可行的方式下营养丰富——修饰后的AA-MNP@CANPs具有尺寸、形状、结晶度、表面电荷和光学特性。最后,通过扫描电子显微镜、流变学、质地剖面分析、傅里叶变换红外光谱(FTIR)和X射线衍射(XRD)对优化后的强化智能GMGs进行进一步表征。强化后的智能GMGs具有更多的营养多样性、靶向铁递送以及粮食安全的基本可持续发展目标。