Research data for the publication 'Oligopeptide-based molecular labelling of (bio)degradable polyester biomaterials'

Nowadays, a very important motivation for the development of new functional materials for medical purposes is not only their performance but also whether they are environmentally friendly. In recent years, there has been a growing interest in the possibility of labelling (bio)degradable polymers, in particular those intended for specific applications, especially in the medical sector, and the potential of information storage in such polymers, making it possible, for example, to track the ultimate environmental fate of plastics. The dataset shows the analyzes that led to the development of a straightforward green approach that combines both aspects using an oligopeptide, which is an integral part of polymer material, to store binary information in a physical mixture of polymer and oligopeptide. In the proposed procedure the year of production of polymer films made of poly(L-lactide) (PLLA) and a blend of poly(1,4-butylene adipate-co-1,4-butylene terephthalate) and polylactide (PBAT/PLA) were encoded as the sequence of the appropriate amino acids in the oligopeptide (PEP) added to these polymers. The decoding of the recorded information was carried out using mass spectrometry technique as a new method of decoding, which enabled the successful retrieval and reading of the stored information. Furthermore, the properties of labelled (bio)degradable polymer films and stability during biodegradation of PLLA/PEP film under industrial composting conditions have been investigated. The labelled films exhibited good oligopeptide stability, allowing the recorded information to be retrieved from a green polymer/oligopeptide system before and after biodegradation. The MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide assay) study of the PLLA and PLLA/PBAT using the MRC-5 mammalian fibroblasts was presented for the first time. All explanations of research procedures, methodologies and analyzes are described in the Raw_data_Labelling.odt file.

当前，医用新型功能材料的研发核心动因已不再仅局限于材料性能，同时需兼顾其环境友好属性。近年来，学界对可（生物）降解聚合物的标识可行性——尤其是针对医疗领域特定应用场景的此类聚合物——以及此类聚合物的信息存储潜力愈发关注，例如借此可追踪塑料的最终环境归趋。本数据集呈现了相关分析研究的成果：开发出一种简洁的绿色技术路径，将作为聚合物材料组成部分的寡肽（oligopeptide）用于聚合物与寡肽的物理共混体系中，以存储二元信息，同时兼顾医用材料性能与环境友好性两大核心需求。在本研究提出的流程中，以聚左旋乳酸（poly(L-lactide), PLLA）薄膜、聚(1,4-己二酸丁二酯-co-1,4-对苯二甲酸丁二酯)/聚乳酸共混物（poly(1,4-butylene adipate-co-1,4-butylene terephthalate) and polylactide, PBAT/PLA）薄膜的生产年份为编码对象，将其转换为添加至聚合物中的寡肽（PEP）内对应氨基酸的序列。所存储信息的解码采用质谱技术这一新型解码方法，成功实现了存储信息的读取与还原。此外，本研究还对标识后的可（生物）降解聚合物薄膜的性能，以及PLLA/PEP薄膜在工业堆肥条件下的生物降解稳定性展开了研究。经标识的薄膜展现出良好的寡肽稳定性，可在生物降解前后的绿色聚合物/寡肽体系中，成功提取所存储的信息。本研究首次采用人胚肺成纤维细胞系（MRC-5）开展了PLLA及PLLA/PBAT材料的MTT（3-(4,5-二甲基噻唑-2-基)-2,5-二苯基四氮唑溴盐法，3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide assay）细胞毒性分析。所有研究流程、方法学及分析过程的详细说明均收录于Raw_data_Labelling.odt文件中。