Environmental contamination by micro- and nanoplastics (MNPs) is well documented with potential for their increased accumulation globally. Growing public concern over environmental, ecological, and human exposure to MNPs has led to exponential increase in publications, news articles, and reports (Casillas et al., 2023). Significant knowledge gap exists in standardized analytical methods for the identification and quantification of MNPs from real world environmental samples. Here, we report comprehensive datasets utilizing thermogravimetric analyzer (TGA) coupled to a Fourier transformed infrared spectrometer (FTIR) and a gas chromatography/mass spectrometer (GC/MS) with corresponding Raman spectral data for the most common polymers documented to be present in the environment (35 plastics of 12 polymer types), to serve as a base line reference for the identification and quantitation of MNPs. Various parameters for TGA-FTIR-GC/MS data acquisition were optimized. Commercial consumer plastic product compositions were identified using this analytical database. Case studies to showcase the utility of the method for polymer mixtures analysis is included. This dataset would serve towards the development of a collaborative, global, comprehensive, and curated public database for the identification of various MNPs and mixtures.

微塑料和纳米塑料 (MNP) 造成的环境污染已得到充分证明，并有可能在全球范围内增加积累。公众对环境、生态和人类接触 MNPs 的担忧日益增加，导致出版物、新闻文章和报告呈指数级增长（Casillas 等人，2023 年）). 用于从真实世界环境样本中识别和量化 MNP 的标准化分析方法存在重大知识差距。在这里，我们报告了利用热重分析仪 (TGA) 与傅里叶变换红外光谱仪 (FTIR) 和气相色谱/质谱仪 (GC/MS) 相结合的综合数据集，其中包含记录在案的最常见聚合物的相应拉曼光谱数据环境（12 种聚合物类型的 35 种塑料），作为 MNP 鉴定和定量的基线参考。优化了 TGA-FTIR-GC/MS 数据采集的各种参数。使用该分析数据库确定了商业消费塑料产品的成分。案例研究展示了聚合物混合物分析方法的实用性。