In this research, the spectral detection of copper oxide is reported from different combustion tests of chalcopyrite particles and copper concentrates. Combustion experiments were performed in a bench reactor. In all the tests, the radiation emitted from the sulfide particle reactions was captured in the VIS–NIR range. The obtained spectral data were processed by using the airPLS (adaptive iteratively reweighted penalized least squares) algorithm to remove their baseline, and principal component analysis (PCA) and the multivariate curve resolution method alternate least squares (MCR-ALS) methods were applied to identify the emission lines or spectral bands of copper oxides. The extracted spectral pattern is directly correlated with the emission profile reported in the literature, evidencing the potential of using spectral analysis techniques on copper sulfide combustion spectra.

中文翻译：

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黄铜矿和铜精矿燃烧过程中铜氧化物光谱发射检测

在这项研究中，从黄铜矿颗粒和铜精矿的不同燃烧测试中报告了氧化铜的光谱检测。在台式反应器中进行燃烧实验。在所有测试中，硫化物粒子反应发出的辐射均在VIS–NIR范围内捕获。使用airPLS（自适应迭代加权罚最小二乘）算法处理获得的光谱数据，以除去其基线，然后应用主成分分析（PCA）和多元曲线分辨率方法交替最小二乘法（MCR-ALS）进行识别氧化铜的发射线或光谱带。提取的光谱图与文献中报道的发射曲线直接相关，