CAJ | 학술논문

为获得沙姜总黄酮提取的优化工艺，以乙醇体积分数、溶剂用量、提取温度和提取时间作为影响因素，进行了沙姜总黄酮提取的单因素试验和正交试验。以获得的25个单因素试验结果和9个正交试验结果作为训练样本，设计和训练了4-5-1结构的3层 BP 人工神经网络。再运用训练好的网络对设计的这些工艺组合进行预测，获得了2组总黄酮得率较高的提取工艺。结果显示，通过人工神经网络获得沙姜中总黄酮物质的最佳提取工艺为：以80%的乙醇溶液为溶剂，料液比为1：90，在75℃下提取10 h，在此条件下得到的总黄酮得率为0.950 mg/g，比正交试验最佳工艺条件下获得的总黄酮得率提高了2.4%。
위획득사강총황동제취적우화공예，이을순체적분수、용제용량、제취온도화제취시간작위영향인소，진행료사강총황동제취적단인소시험화정교시험。이획득적25개단인소시험결과화9개정교시험결과작위훈련양본，설계화훈련료4-5-1결구적3층 BP 인공신경망락。재운용훈련호적망락대설계적저사공예조합진행예측，획득료2조총황동득솔교고적제취공예。결과현시，통과인공신경망락획득사강중총황동물질적최가제취공예위：이80%적을순용액위용제，료액비위1：90，재75℃하제취10 h，재차조건하득도적총황동득솔위0.950 mg/g，비정교시험최가공예조건하획득적총황동득솔제고료2.4%。
Single factor tests and orthogonal experiments were taken to acquire optimum extraction craft of flavonoids from Kaempferia galangal, and the alcohol concentration, solvent amount, extraction temperature and extraction time were considered to be influencing factors. The results of 25 single tests and 9 orthogonal experiments were used as training samples to design and train a 4-5-1 three-layers BP neural network. Then these designed extraction conditions was predicted by the terminative neural network, and 2 combinations of extraction conditions which could bring about high yield of flavonoids were acquired. The study results showed that in the condition of 80% ethanol as the solvent, the solid-liquid ratio of 1:90, at temperature 75 ℃ and extracting 9 h. Under these conditions, the yield of flavonoids was 0.950 mg/g, obtaining about 2.4% more flavonoids than that of orthogonal experiments.