Baek SeungHee, Mae Agapito Sheryl, Nam InSik
Research Center for Environmentally Friendly and Quality Livestock Production Technology, Hankyong National University, Anseong-si 17579, Gyeonggi-do, Republic of Korea.
School of Animal Life Convergence Science, Hankyong National University, Anseong-si 17579, Gyeonggi-do, Republic of Korea.
Foods. 2023 Aug 15;12(16):3062. doi: 10.3390/foods12163062.
Recent research has been conducted on various types of pre-processing methods for insects, including freeze-drying, microwave drying, hot air heat drying, and non-heat drying. This study aimed to identify the factors that have the greatest impact on heat drying conditions and establish the optimal heat drying conditions for drone pupae ( L.) using response surface methodology (RSM) to minimize quality changes. Drone pupae were treated under various conditions, including blanching time (53-187 s) (X), drying temperatures (41.6-58.4 °C) (X), and drying time (266-434 min) (X). The effect of these treatments on response variables, including the color parameter (WI, YI, BI, △E, and BD), AV, and TB of the dried drone pupae, was evaluated using a central composite design. The whole design consisted of 20 experimental points carried out in random order, which included eight factorial points, six center points, and six axial points. The optimal drying conditions for drone pupae were determined to be a blanching time of 58 s, a drying temperature of 56.7 °C, and a drying time of 298 min. The response variables were most affected by drying temperature and drying time and to a lesser extent by blanching time. The processed drone pupae using the optimized drying conditions resulted in the color parameters (WI, BI, YI, ΔE, and BD) being found to be 66.67, 21.33, 26.27, 31.27 and 0.13, respectively. And TB (log CFU/g) and AV (mg/g) values were found to be 3.12 and 4.33, respectively. The estimated and actual values for dried drone pupae showed no significant difference ( < 0.05). Comparing the physicochemical and microbiological properties of freeze-dried and optimal heat-dried drone pupae, the L and b value as well as PV were significantly lower in the heat-dried samples, while no significant difference was observed in the a value and AV ( < 0.05). Our study suggests that the model we developed can be applied to the large-scale production of drying conditions for use in the pharmaceutical and food industries.
近期针对昆虫的各种预处理方法开展了研究，包括冷冻干燥、微波干燥、热风加热干燥和非加热干燥。本研究旨在确定对加热干燥条件影响最大的因素，并使用响应面法（RSM）确定雄蜂蛹的最佳加热干燥条件，以尽量减少质量变化。雄蜂蛹在各种条件下进行处理，包括烫漂时间（53 - 187秒）（X）、干燥温度（41.6 - 58.4℃）（X）和干燥时间（266 - 434分钟）（X）。使用中心复合设计评估这些处理对响应变量的影响，这些响应变量包括干燥雄蜂蛹的颜色参数（白度、黄度、蓝度、色差和褐变度）、酸价和过氧化值。整个设计由20个实验点组成，以随机顺序进行，其中包括8个析因点、6个中心点和6个轴向点。确定雄蜂蛹的最佳干燥条件为烫漂时间58秒、干燥温度56.7℃和干燥时间298分钟。响应变量受干燥温度和干燥时间的影响最大，受烫漂时间的影响较小。使用优化干燥条件处理的雄蜂蛹，其颜色参数（白度、蓝度、黄度、色差和褐变度）分别为66.67、21.33、26.27、31.27和0.13。而过氧化值（log CFU/g）和酸价（mg/g）分别为3.12和4.33。干燥雄蜂蛹的估计值和实际值无显著差异（<0.05）。比较冷冻干燥和最佳加热干燥雄蜂蛹的理化和微生物特性，加热干燥样品的L值和b值以及过氧化值显著较低，而a值和酸价无显著差异（<0.05）。我们的研究表明，我们开发的模型可应用于制药和食品工业中干燥条件的大规模生产。
Zotero 插件