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高密度聚乙烯（HDPE）、低密度聚乙烯（LDPE）和聚丙烯（PP）的质量控制

AN-NIR-083

2020-03

zh

Non-destructive determination of polymers within one minute with NIRS

由于样品的不均匀性，使用傅立叶变换红外光谱鉴定单个聚合物是一项挑战，尤其是需要分析较大的样品时。本应用说明展示了 DS2500 近红外光谱固体分析仪在可见光和近红外光谱区（可见光-近红外）工作，为鉴定高密度聚乙烯 (HDPE)、低密度聚乙烯 (LDPE) 和聚丙烯 (PP) 提供了可靠、快速的解决方案。Vis-NIR 光谱法无需样品制备或化学试剂，可在一分钟内鉴定较大的不均匀样品量。

Identification of individual polymers with FT-IR spectroscopy can be a challenge due to sample inhomogeneity especially when larger sample sizes need to be analyzed.

This application note demonstrates that the DS2500 Solid Analyzer operating in the visible and near infrared spectral region (Vis-NIR) provides a reliable and fast solution for the identification of high-density polyethylene (HDPE), low-density polyethylene (LDPE), and polypropylene (PP). With no sample preparation or chemicals needed, Vis-NIR spectroscopy allows the identification of larger inhomogeneous sample amounts in less than a minute.

Figure 1. DS2500 Solid Analyzer and PE pellets present in the rotating DS2500 Large Sample Cup.

HDPE, LDPE, and PP pellets were measured in reflection mode with a DS2500 Solid Analyzer over the full wavelength range (400–2500 nm). A rotating DS2500 Large Sample Cup was employed to overcome the distribution of varied particle sizes and chemical components. This allowed automated measurements at different sample locations for a reproducible spectrum acquisition. As displayed in Figure 1, samples were measured without any preparation. The Metrohm software package Vision Air Complete was used for all data acquisition and prediction model development.

Table 1. Hardware and software equipment overview
Equipment Metrohm number
DS2500 Analyzer 2.922.0010
DS2500 Large Sample Cup 6.7402.050
Vision Air 2.0 Complete 6.6072.208

A correlation algorithm was applied to the measured Vis-NIR spectra (Figure 2) to create a prediction model for the identification of the individual polymer types. The quality of the prediction was evaluated using built-in statistical tools, which display the correlation value distribution between Vis-NIR prediction and product class (Figure 3). The high correlation values of 0.985 and above, together with the fact that no polymer was misidentified, highlight the feasibility of NIR spectroscopy for identification of different polymer types.

Figure 2. Selection of HDPE, LDPE, and PP NIR spectra (pre-treated with a 2nd derivative) obtained using a DS2500 Analyzer. Clear differences for the different polymer types are visible in the wavelength region around 1700 nm.
Figure 3. Correlation value histogram for the identification of the individual polymer types. (b) All polymer types in the sample set were identified correctly.

This application note demonstrates the feasibility of NIR spectroscopy to identify different types of polymers. In comparison to the FT-IR spectroscopy method, no sample preparation is needed. Further, the rotating sample cup system allows also the fast analysis of large inhomogeneous sample sizes.

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