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首页> 外文期刊>IEEE sensors journal >Recovered Paperboard Samples Identification by Means of Mid-Infrared Sensors
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Recovered Paperboard Samples Identification by Means of Mid-Infrared Sensors

机译：通过中红外传感器对纸板样品进行鉴定

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摘要

Paperboard is widely and increasingly applied as a packaging material, and in many applications is in direct contact with foodstuff. The increasing use of recovered paperboard has led to the production of paperboard containing several types of contaminants. In the case of using recovered paperboard, some of these contaminants may migrate into the food in concentrations considered harmful to human health. To prevent this problem, a very fast and nondestructive method to identify recovered paperboard samples from those produced mainly from virgin fibers is developed in this paper. Therefore, recovered samples may be identified, so a special consideration may be given to these samples. To this end, Fourier transform mid-infrared spectroscopy is applied to acquire the mid-infrared spectra of the paperboard samples. Next, statistical multivariate feature extraction and classification methods are applied to identify incoming samples produced from recovered fibers. Experimental results presented here prove that the proposed scheme allows obtaining high classification accuracy with a very fast response.
机译：纸板被广泛并且越来越多地用作包装材料，并且在许多应用中与食品直接接触。回收纸板的增加使用导致产生了包含几种类型的污染物的纸板。在使用回收纸板的情况下，其中一些污染物可能以对人体健康有害的浓度迁移到食品中。为避免此问题，本文开发了一种非常快速且无损的方法，可从主要由原始纤维生产的纸板样品中鉴定回收的纸板样品。因此，可以识别回收的样品，因此可以对这些样品给予特殊考虑。为此，应用傅立叶变换中红外光谱法获取纸板样品的中红外光谱。接下来，应用统计多元特征提取和分类方法来识别从回收纤维中产生的进样。这里提出的实验结果证明，该方案可以以很高的响应速度获得较高的分类精度。

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