A procedure for simultaneous extraction of polysaccharides and polyphenols from blackcurrant fruits by microwave-assisted aqueous two-phase system (MA-ATPS) was studied. Ethanol/(NH₄)₂SO₄ was determined as the most suitable ATPS including 18.99 % (NH₄)₂SO₄ and 31.65 % of absolute ethanol. Apart from response surface methodology (RSM), artificial neural network linked genetic algorithms and grey relational analysis (ANN-GA-GRA) was also employed to optimize the extraction process of polysaccharides and polyphenols from blackcurrant fruits. GA was used to give assistance to the parameters optimization of ANN model and GRA was subsequently utilized to optimize the variables. ANN model displayed relatively higher coefficient of determination (R², 0.9805) and lower absolute average deviation (AAD, 0.6648) than those of RSM (R² = 0.9783, AAD = 0.8505), indicating ANN possessed more excellent prediction and estimation capabilities. Under the optimum conditions (liquid-to-material ratio, extraction time, extraction temperature and microwave power predicted by RSM were 60.01 mL/g, 9.96 min, 59.57 °C, and 592.98 W, while predicted by ANN were 56.10 mL/g, 9.78 min, 60.92 °C, and 640.78 W), the yields of polysaccharides, anthocyanins, polyphenols, and DPPH radical scavenging activities of two phases given by ANN (46.75 %, 6.75 mg/g, 53.51 mg/g, 95.17 %, and 97.05 %) were higher than those deriving from RSM (43.48 %, 6.62 mg/g, 52.48 mg/g, 93.72 %, and 96.65 %). In addition, gas chromatography (GC) analysis confirmed that the polysaccharides in bottom phase were composed of six monosaccharides, and thirteen phenolic compounds were determined in the extract of top phase by high-performance liquid chromatography-electrospray ionization-mass spectrometry (HPLC-ESI-MS). Therefore, microwave-assisted ethanol/(NH₄)₂SO₄ extraction may be a promising technique to simultaneously prepare multiple active compounds from blackcurrant, and ANN-GA-GRA was an effective mathematical model to predict and optimize this extraction process.

研究了一种通过微波辅助水相两相系统 (MA-ATPS) 同时提取黑加仑果实中多糖和多酚的方法。乙醇/(NH ₄ ) ₂ SO ₄被确定为最合适的ATPS，包括18.99 % (NH ₄ ) ₂ SO ₄和 31.65% 的无水乙醇。除了响应面法（RSM）外，还采用人工神经网络关联遗传算法和灰色关联分析（ANN-GA-GRA）来优化黑加仑果实多糖和多酚的提取工艺。GA用于辅助ANN模型的参数优化，随后GRA用于优化变量。ANN 模型显示出相对较高的决定系数 ( R ² , 0.9805) 和较低的绝对平均偏差 (AAD, 0.6648) 比 RSM ( R ²= 0.9783, AAD = 0.8505)，表明 ANN 具有更出色的预测和估计能力。在最佳条件下（RSM 预测的液料比、提取时间、提取温度和微波功率为 60.01 mL/g，9.96 min，59.57 °C 和 592.98 W，而 ANN 预测为 56.10 mL/g， 9.78 min, 60.92 °C, and 640.78 W), ANN 给出的两相多糖、花青素、多酚和 DPPH 自由基清除活性的产率 (46.75 %, 6.75 mg/g, 53.51 mg/g, 95.17 %, %) 97.05 %）高于来自 RSM 的那些（43.48 %、6.62 mg/g、52.48 mg/g、93.72 % 和 96.65 %）。此外，气相色谱 (GC) 分析证实底相中的多糖由 6 种单糖组成，高效液相色谱-电喷雾电离-质谱(HPLC-ESI-MS)测定了上相提取物中的13种酚类化合物。因此，微波辅助乙醇/(NH₄ ) ₂ SO ₄提取可能是一种从黑加仑中同时制备多种活性化合物的有前途的技术，ANN-GA-GRA 是预测和优化该提取过程的有效数学模型。