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为了探究化学法再生涤纶和原生涤纶间的差异,应用“醇解-过滤”的方法将聚酯大分子异质链节解聚出来,并经高效液相色谱测试;测试数据经基线校正、信号对齐和数据降维后,转变为两类纤维的特征向量;建立反向传播人工神经网络模型,实现化学法再生涤纶的计算机自动识别.结合所建立的物理法再生涤纶鉴别方法,可以建成一个再生涤纶“两步法”鉴别流程尽管其存在步骤繁琐的缺点,但势必启发出更为高效的再生涤纶鉴别方案.“,”In order to identify the chemical recycling polyester fibers,the alcoholysis products of polyester heterogeneous chain elements were dissociated from the chemical recycling polyester fibers and virginal polyester fibers through the “dissolution-precipitation” method,subsequently were measured on high performance liquid chromatography (HPLC) instrument.After baseline correction,signal alignment and highdimensional reduction,the HPLC data were transformed into characteristic vectors of the two fiber species.By building a preliminary model of back propagation artificial neural network (BP-ANN),the chemical recycling polyester fibers could be identified automatically on computer.Combined with the identification method of the physical recycling polyester fibers established by the author,a “two step” authentication process of regenerated polyester fibers was performed.Although there were defects in convenience,this preliminarily study surely would inspire a more efficient solution to the authentication of regenerated polyester fibers.