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通过近红外化学成像(NIRCI)研究聚(3-羟基丁酸酯)和聚(L-乳酸)二元共混物的均匀性评估。

Evaluation of homogeneity of binary blends of poly(3-hydroxybutyrate) and poly(L-lactic acid) studied by near infrared chemical imaging (NIRCI).

作者信息

Furukawa Tsuyoshi, Sato Harumi, Shinzawa Hideyuki, Noda Isao, Ochiai Shukichi

机构信息

S. T. Japan Inc., Hirakata, Osaka, Japan.

出版信息

Anal Sci. 2007 Jul;23(7):871-6. doi: 10.2116/analsci.23.871.

Abstract

The homogeneity of blends of poly((R)-3-hydroxybutyrate) (PHB) and poly(L-lactic acid) (PLLA) was evaluated by the near infrared chemical imaging (NIRCI) technique. NIRCI can nondestructively investigate a sample over a wide field of view within a few minutes to acquire a large number of spatially resolved NIR spectral data. NIRCI may be combined with multivariate analysis not only for qualitative analysis but also for statistically based quantitative analysis. The score images derived from the partial least squares regression (PLSR) analysis directly show that PHB/PLLA blends are highly homogeneous. The standard deviations (STD) of the histograms, indicating the distribution of the score values, show small values for the blends. These results qualitatively and quantitatively show the high level of homogeneity of PHB/PLLA blends. The predictions of the spatially averaged concentrations of the blend components obtained from PLSR results show values similar to the actual contents for the blends. The small errors of the predictions are also explained by STD values.

摘要

采用近红外化学成像(NIRCI)技术评估了聚(R)-3-羟基丁酸酯(PHB)和聚(L-乳酸)(PLLA)共混物的均匀性。NIRCI能够在几分钟内对样品进行无损检测,检测范围广泛,可获取大量空间分辨近红外光谱数据。NIRCI不仅可以与多变量分析相结合进行定性分析,还可以进行基于统计学的定量分析。由偏最小二乘回归(PLSR)分析得出的得分图像直接表明,PHB/PLLA共混物具有高度均匀性。直方图的标准差(STD)表明得分值的分布,共混物的该值较小。这些结果从定性和定量方面都表明了PHB/PLLA共混物具有高度均匀性。从PLSR结果获得的共混物组分空间平均浓度预测值与共混物的实际含量相似。预测的小误差也可以用STD值来解释。

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