基于响应面法优化油墨中颜料的提取工艺

Optimization of Pigment Extraction Process in Ink Based on Response Surface Methodology

摘要: 以提取物的重金属钡离子含量为评价指标，在单因素实验基础上，采用Box-Behnken实验设计对提取溶剂的种类、淋洗温度、溶剂体积和提取时间进行四因素三水平的响应面分析。结果表明，各因素对颜料的提取率影响顺序依次为其中萃取溶剂 > 淋洗体积 > 提取温度 > 淋洗时间，其最优工艺为：以正庚烷为萃取溶剂，淋洗体积为89 mL，提取时间为78 min，温度为162℃，拟合出的重金属钡离子预测含量为480.48 mg/kg。通过验证实验可知，颜料的平均钡离子含量为479 mg/kg，与预测值基本相符。该研究表明了响应面法优化油墨中颜料提取分离工艺的可行性，并为实际生产中油墨的提取分离提供了理论依据。

Abstract: Using the heavy metal barium ion content of the extract as the evaluation index, based on single factor experiments, a Box Behnken experimental design was used to conduct a four factor three-level response surface analysis on the type of extraction solvent, rinsing temperature, solvent volume, and extraction time. The results showed that the order of influence of various factors on the extraction rate of pigments was as follows: extraction solvent > rinsing volume > extraction temperature > rinsing time. The optimal process was as follows: n-hexane was used as the extraction solvent, rinsing volume was 89 mL, extraction time was 78 min, temperature was 162˚C, and the predicted content of heavy metal barium ions was 480.48 mg/kg. According to the verification experiment, the average barium ion content of the pigment is 479 mg/kg, which is basically consistent with the predicted value. This study demonstrates the feasibility of optimizing the pigment extraction and separation process in ink using response surface methodology, and provides a theoretical basis for the extraction and separation of ink in practical production.