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基于神经网络和遗传算法优化松花粉多糖提取工艺及抗疲劳活性研究 |
Optimization of polysaccharide extraction process and anti fatigue activity from pine pollen based on GA-NN algorithm |
投稿时间:2024-12-09 修订日期:2025-04-26 |
DOI: |
中文关键词: 亚临界水 神经网络 工艺优化 抗疲劳 |
英文关键词:subcritical water Neural network Process optimization resist fatigue |
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中文摘要: |
目的:基于GA-NN算法优化松花粉多糖的亚临界水提取工艺,并进一步探究其抗疲劳活性。方法:以破壳松花粉为原料,在单因素基础上,通过Box--Behnken试验设计响应面试验,并利用GA-NN算法构建网络神经模型及优化工艺,在最佳工艺条件下,通过小鼠负重游泳试验评价多糖的抗疲劳作用。结果:所构建的神经网络模型相对误差和决定系数R2为0.03267和0.98476,遗传算法对亚临界水提取多糖工艺迭代60次后,得到最佳参数为:温度148 ℃,时间28 min,液料比40:1,压力5 MPa,多糖得率为23.7893 mg/g,经验证,实际值与预测值不存在显著性差异,模型准确度良好。抗疲劳活性研究表明与空白组相比,高剂量组小鼠体重有一定程度的增加,其他组无显著性差异(P>0.05)。相比空白组,多糖组小鼠游泳时间显著延长(P<0.05),血乳酸、尿素氮含量明显降低(P<0.05),肌糖原、肝糖原储备量均显著增加(P<0.05)。结论:试验结果表明松花粉多糖能够提升小鼠运动耐性、持久性,具有一定的抗疲劳作用。 |
英文摘要: |
Objective: To optimize the subcritical water extraction process of pine pollen polysaccharides based on GA-NN algorithm and further explore its anti fatigue activity. Method: Using broken shell pine pollen as raw material, a response surface was designed through Box Behnken test on a single factor basis, and a network neural model was constructed and optimized using GA-NN algorithm. Under the optimal process conditions, the anti fatigue effect of polysaccharides was evaluated through mouse weight-bearing swimming test. Result: The relative error and coefficient of determination R2 of the constructed neural network model were 0.03267 and 0.98476, respectively. The genetic algorithm was iterated 60 times for subcritical water extraction of polysaccharides, and the optimal parameters were obtained as follows: temperature 148 ℃, time 28 min, liquid to material ratio 40:1, pressure 5 MPa, and polysaccharide yield of 23.7893 mg/g. After verification, there was no significant difference between the actual value and the predicted value, indicating good accuracy of the model. The study on anti fatigue activity showed that compared with the blank group, the high-dose group of mice had a certain degree of increase in body weight, while there was no significant difference in other groups (P>0.05). Compared with the blank group, the swimming time of mice in the polysaccharide group was significantly prolonged (P<0.05), the levels of blood lactate and urea nitrogen were significantly reduced (P<0.05), and the reserves of muscle glycogen and liver glycogen were significantly increased (P<0.05). Conclusion: The experimental results indicate that pine pollen polysaccharides can enhance the exercise tolerance and endurance of mice, and have a certain anti fatigue effect. |
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