以多種光譜分析技術解析深色橡膠回收分類之探討

A Comprehensive Investigation on the Taxonomic Classification of Recycled Dark Rubber Materials Using Multiple Spectroscopic Analytical Techniques

四色印刷系統中約含四十餘組深色橡膠輥，此類橡膠組件於進入再生製程前，需精確區分為天然橡膠與合成丁基橡膠（Butyl Rubber，BR或Isobutylene Isoprene Rubber，IIR）兩大類別。考量回收場域之實際操作條件與效率需求，本研究評估五種非接觸式光譜分析技術於深色橡膠特性鑑別之應用可行性，包括：可見光-紅外光影像光譜儀（Visible-Infrared Imaging Spectrometer）、傅立葉轉換紅外光譜儀（Fourier Transform Infrared Spectrometer，FTIR）、差分拉曼光譜儀（Shifted Excitation Raman Difference Spectroscopy，SERDS）及X射線螢光光譜儀（X-ray Fluorescence Spectrometer，XRF）。實驗結果顯示，傅立葉轉換紅外光譜技術呈現最佳鑑別效能，其所產生之特徵吸收峰及光譜曲線可作為回收過程中天然橡膠與丁基橡膠精確分類之主要依據，為橡膠資源循環利用提供可靠的分析方法。

This study addresses the taxonomic classification challenges of approximately 40 dark elastomeric components obtained from four-color printing press systems prior to recycling processes. The study necessitates differentiation between natural rubber (NR) and synthetic butyl rubber (SBR) compositions to facilitate appropriate material stream allocation within industrial recycling facilities. Considering the operational constraints and in situ requirements at recycling installations, five non-contact spectroscopic analytical methodologies were systematically evaluated: visible-range imaging spectroscopy, near-infrared spectroscopy, Fourier transform infrared (FTIR) spectroscopy, Shifted Excitation Raman Difference Spectroscopy (SERDS), and X-ray fluorescence (XRF) spectrometry. Comparative analysis of spectral signatures revealed that FTIR spectroscopy demonstrated superior discriminatory capabilities, producing characteristic spectral profiles with distinctive absorption bands that permitted unambiguous differentiation between NR and SBR materials. The resultant FTIR spectral fingerprints provide a robust analytical foundation for implementing rapid, non-destructive classification protocols in industrial rubber recycling operations, thereby enhancing material recovery efficiency and promoting circular economy principles in the printing industry.