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首页> 外文期刊>Journal of the Society of Leather Technologists and Chemists >Characterization Of Leather Finishing By Ir Spectroscopy And Canonical Variate Analysis
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Characterization Of Leather Finishing By Ir Spectroscopy And Canonical Variate Analysis

机译:红外光谱和规范变量分析法表征皮革涂饰剂

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The finishing process is one of the crucial steps in the process by which the tanning industry transforms leather into an end-product. Therefore, ensuring the required quality in the product requires careful control of this step. Traditionally, the leather tanning industry has used polluting processes and slow analytical methods involving time-consuming separations and also, frequently, the use of environmentally unfriendly reagents. In this work, we used a large matrix of spectroscopic data obtained from 63 leather specimens (34 from Pielcolor and 29 from the laboratories of the Leather Technology School of Igualada) to develop a method allowing the finishing method used on a leather (viz. a resin, wax/oil or grain correction treatment) to be expeditiously, non-destructively identified with the need for no sample treatment. To this end, Fourier transform infrared (FTIR) spectra were recorded with the aid of an ATR module and near-infrared (NIR) spectra with a fibre-optic probe. Chemometric processing of the FTIR or NIR spectral information thus obtained by Principal Component Analysis (PCA) and Canonical Variate Analysis (CVA) allowed the identification of the finishing treatment used on the studied leather samples. The results for the external prediction set (80% of hits with the FTIR model and 60% with the NIR model) were of the same order of magnitude than those obtained by leave-one-out cross-validation of the calibration set (85% with FTIR and 72% with NIR).
机译:涂饰工艺是制革业将皮革转变为最终产品的过程中的关键步骤之一。因此,要确保产品具有所需的质量,就需要仔细控制此步骤。传统上,皮革制革业使用污染过程和缓慢的分析方法,涉及耗时的分离,而且经常使用对环境不利的试剂。在这项工作中,我们使用了从63个皮革样品(34个来自Pielcolor和29个来自伊瓜拉达皮革技术学院的实验室)获得的光谱数据矩阵,以开发一种允许在皮革上使用后处理方法的方法(即树脂,蜡/油或晶粒校正处理),无需进行样品处理即可迅速,无损地确定。为此,借助ATR模块记录了傅里叶变换红外(FTIR)光谱,并使用光纤探头记录了近红外(NIR)光谱。通过主成分分析(PCA)和规范变量分析(CVA)如此获得的FTIR或NIR光谱信息的化学计量处理可以确定所研究皮革样品所使用的整理处理。外部预测集的结果(FTIR模型的命中率为80%,NIR模型的命中为60%)与通过校准集的留一法交叉验证所获得的结果(85%)相差一个数量级。 FTIR和72%使用NIR)。

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