该研究采用Box-Behnken响应面法(response surface methodology, RSM),结合人工神经网络(artificial neural network, ANN)模型与粒子群优化算法(particle swarm optimization, PSO),构建绞股蓝多酚提取工艺的智能优化体系;采用超高效液相色谱-四级杆-飞行时间质谱(ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry, UPLC-QTOF-MS)对其多酚组成进行定性分析,并考察最优工艺提取的绞股蓝多酚作为天然来源还原剂在纳米银(silver nanoparticles, AgNPs)绿色合成中的应用潜力。结果显示,ANN-PSO模型为绞股蓝多酚提取工艺优化提供了可解释的智能建模方法:优化条件下总多酚含量达28.229 mg/g,相较于传统RSM,模型准确性与预测能力更优,与实际值的相对误差仅0.2%。鉴定出桑色素、鼠李素、栎草亭、鼠李秦素、芦丁等 10种多酚类化合物,均属于黄酮(苷)类结构。绞股蓝多酚可高效还原硝酸银,制备得到的AgNPs有显著抑菌作用,且在最小杀菌浓度下无细胞毒性。该研究为植物多酚提取工艺的智能化优化及绞股蓝资源的高值化综合开发利用提供了新思路和实验依据。
武艺
,
刘鑫伟
,
彭媛媛
,
靳晨冰
,
顾慧越
,
王婉茹
,
董俊豪
,
费博闻
,
刘晓会
,
赵琳静
. 绞股蓝多酚提取工艺的响应面法与人工神经网络-粒子群优化算法优化及在纳米银绿色合成中的应用[J]. 食品与发酵工业, 2026
, 52(12)
: 345
-352
.
DOI: 10.13995/j.cnki.11-1802/ts.044297
In this study, the Box-Behnken response surface methodology (RSM) was integrated with the artificial neural network (ANN) model and particle swarm optimization (PSO) algorithm to establish an intelligent optimization system for the polyphenols extraction process from Gynostemma pentaphyllum.Additionally, ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was employed for the qualitative analysis of its polyphenolic composition.The potential application of G.pentaphllum polyphenols extracted under the optimal process as a natural source of reducing agent in the green synthesis of silver nanoparticles (AgNPs) was further investigated.The results demonstrated that the ANN-PSO model provided an interpretable intelligent modeling approach for optimizing the extraction process of G.pentaphyllum polyphenols.Under the optimized conditions, the total polyphenol content reached 28.229 mg/g.Compared with traditional RSM, the ANN-PSO model exhibited higher accuracy and stronger predictive ability, with a relative error of merely 0.2% relative to the actual values.Ten polyphenolic compounds, including morin, rhamnetin, quercetagetin, rhamnazin, and rutin, were identified, all belonging to the flavonoid (glycoside) structures.G.pentaphyllum polyphenols could efficiently reduce silver nitrate, and the prepared AgNPs showed significant antibacterial activity without cytotoxicity at the minimum bactericidal concentration.This study provides new insights and experimental basis for the intelligent optimization of complex process conditions and the high-value comprehensive development and utilization of G.pentaphyllum resources.
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