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作 者:韩海帆[1] 张路[2] 张淹[2] 李文龙[1] 瞿海斌[1]
机构地区:[1]浙江大学药物信息学研究所,浙江杭州310058 [2]山东东阿阿胶股份有限公司,山东聊城252201
出 处:《中国中药杂志》2014年第6期1043-1047,共5页China Journal of Chinese Materia Medica
基 金:国家"重大新药创制"科技重大专项(2011ZX09201-201-10)
摘 要:化皮过程是阿胶生产中的重要环节,该文采用近红外光谱技术结合多变量数据分析快速测定驴皮化皮液中的总氮含量,并提出化皮过程终点判断方法。以近红外透反射光谱采集模式采集化皮液光谱,以凯氏定氮法测定值为参比,采用偏最小二乘回归建立化皮液近红外光谱与其总氮含量间的校正模型,并对建模波段及主成分数等模型参数进行优选。使用所建定量模型快速测定化皮液的总氮含量,并以其为依据确定化皮次数。所建总氮定量模型性能良好,验证集相关系数和预测误差均方根分别为0.991 3,0.807 g·L-1。根据模型测得的总氮含量以及预设的总氮含量限,可以快速判断化皮过程的进度,确定合理的化皮次数。结果表明,近红外透反射光谱可快速准确地测定化皮液中的总氮含量并判断化皮工艺终点,避免了不合理的化皮次数带来的能耗或原料浪费。Hide melting presents itself as one of the most critical processes in the production of donkey-hide gelatin. Here a NIR-based method was established for the rapid analysis of in-process hide melting solutions as well as for end-point determination of this process. Near infrared (NIR) spectra of hide melting solutions were collected in transflective mode. With the contents of total nitrogen determined by the Kjeldahl method as reference values, partial least squares regression (PLSR) was employed to build calibration models between NIR spectra and total nitrogen. Model parameters including wavelength range and PLS factors were optimized to achieve best model performance. Based on the contents of total nitrogen predicted by calibration model, end point of hide melting was determined. The constructed PLS model gave a high correlation coefficient (R2) of 0.991 3 and a root mean square error of prediction (RMSEP) of 0.807 g·L^-1. With the predicted total nitrogen and predefined limit, decisions concerning the proper times of melting were made. This research demonstrated that NIR transflectance spectroscopy could be used to expeditiously determine the contents of total nitrogen which was subsequently chosen as the indictor for determining the end-point of hide melting. The proposed procedure may help avoid unnecessary raw material or energy consumption.
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