Visualization of hydrolysis in polylactide using near-infrared hyperspectral imaging and chemometrics
Visualization of hydrolysis in polylactide using near-infrared hyperspectral imaging and chemometrics
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DOI：
10.1002/app.45898
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发表时间：
2018-02-20
影响因子：
3
通讯作者：
Ohshima, Masahiro
中科院分区：
文献类型：
--
作者：
Muroga, Shun;Hikima, Yuta;Ohshima, Masahiro
聚乳酸（PLA）在熔体加工过程中发生水解，导致产品在外观和机械性能等方面存在缺陷。水解后的聚乳酸制品力学性能变差，在加工过程中必须对其进行检测，以保证聚乳酸制品的质量控制。本研究采用近红外（NIR）高光谱成像技术评价水解程度。在1200 ~ 1600 nm的波长范围内，(1)成型诱导的水解和(2)退火诱导的结晶改变了近红外光谱。这两个因素介导的近红外光谱变化明显不同，但又有重叠，导致仅在单一波长下难以评价PLA。采用偏最小二乘回归方法对水解聚乳酸进行检测。近红外成像结合所构建的偏最小二乘模型清晰地显示了不同结晶程度下水解PLA的程度差异。(C) 2017 Wiley期刊公司
The hydrolysis of polylactide (PLA) occurs during melt processing, leading to product defects in, for example, appearance and mechanical properties. Hydrolyzed PLA products, whose mechanical properties were deteriorated, must be detected during processing to ensure the quality control of PLA products. In this study, near-infrared (NIR) hyperspectral imaging was applied for evaluating the extent of hydrolysis. NIR spectra in the wavelength range from 1200 to 1600 nm were changed by (1) hydrolysis induced by molding and (2) crystallization induced by annealing. The changes in the NIR spectra mediated by these two factors were distinctly different but overlapping, leading to difficulty in evaluating PLA at only a single wavelength. Partial least squares regression was introduced for detecting the hydrolyzed PLA. NIR imaging combined with the constructed partial least square models clearly visualized the differences in the extent of hydrolysis in hydrolyzed PLA under varying degrees of crystallization. (C) 2017 Wiley Periodicals, Inc.