Flexible multilayer plastic packaging (MPP) has grown in popularity in the last years especially in food and medical sectors, and its share in the packaging industry is expected to increase further. Compared to traditional packaging with same functionalities, MPP is characterized by lower energy consumption in production and a reduced packaging weight. So far, the recycling of post-industrial MPP with specific material composition has been achieved by several companies. To our knowledge, all existing MPP recycling processes require a known material combination. In contrast to post-industrial MPP, post-consumer MPP still ends up in incinerators or as low-quality products, mainly because of the lacking ability to sort. This study investigates the detectability of post-consumer MPP with near-infrared spectroscopy, the state-of-the-art technology for sensor-based waste sorting. Firstly, MPP classification with near-infrared spectroscopy was analyzed with clean samples. Subsequently, the effect of waste collection and preprocessing in sorting plants on MPP classification was investigated. For this purpose, clean samples were covered with water and oil and mixed with lightweight packaging waste in a drum sieve. The results show it is possible to classify post-consumer MPP based on near-infrared spectra according to different sorting strategies. For the existing recycling processes which are suitable for post-consumer MPP, the corresponding object-based classification accuracy was found to exceed 96%.

近年来，柔性多层塑料包装（MPP）越来越流行，尤其是在食品和医疗领域，其在包装行业的份额有望进一步提高。与具有相同功能的传统包装相比，MPP的特点是生产中的能耗更低，包装重量更轻。到目前为止，已有多家公司实现了具有特定材料成分的工业后MPP的回收。据我们所知，所有现有的MPP回收过程都需要已知的材料组合。与工业化后的MPP相比，消费后的MPP最终仍以焚化炉或劣质产品而告终，这主要是由于缺乏分类能力。这项研究使用近红外光谱技术研究了消费后MPP的可检测性，基于传感器的废物分类的最新技术。首先，用干净的样品分析了近红外光谱的MPP分类。随后，研究了垃圾收集和分选厂中的预处理对MPP分类的影响。为此，将干净的样品用水和油覆盖，并在转鼓筛中与轻质包装废料混合。结果表明，根据不同的分类策略，可以基于近红外光谱对消费后的MPP进行分类。对于适用于消费后MPP的现有回收过程，发现相应的基于对象的分类精度超过96％。研究了垃圾收集和预处理对MPP分类的影响。为此，将干净的样品用水和油覆盖，并在转鼓筛中与轻质包装废料混合。结果表明，根据不同的分类策略，可以基于近红外光谱对消费后的MPP进行分类。对于适用于消费后MPP的现有回收过程，发现相应的基于对象的分类精度超过96％。研究了垃圾收集和预处理对MPP分类的影响。为此，将干净的样品用水和油覆盖，并在转鼓筛中与轻质包装废料混合。结果表明，根据不同的分类策略，可以基于近红外光谱对消费后的MPP进行分类。对于适用于消费后MPP的现有回收过程，发现相应的基于对象的分类精度超过96％。结果表明，根据不同的分类策略，可以基于近红外光谱对消费后的MPP进行分类。对于适用于消费后MPP的现有回收过程，发现相应的基于对象的分类精度超过96％。结果表明，根据不同的分类策略，可以基于近红外光谱对消费后的MPP进行分类。对于适用于消费后MPP的现有回收过程，发现相应的基于对象的分类精度超过96％。