油脂污染贝叶模拟样紫外光老化及自然老化综合分析数据集

本数据集由中国国家博物馆在中国国家博物馆与北达微购测试中心于2023年4月至2025年5月采集，专门针对馆藏贝叶经文物油脂污染病害的科学保护需求采集。数据集通过模拟加速老化与真实环境老化对比研究，系统记录了油脂污染贝叶样品在两种老化条件下的劣化机理与性能演变规律。 数据产生采用综合运用显微形貌观测、pH值测定、力学性能测试、红外光谱分析、X射线光电子能谱（XPS）、X射线衍射（XRD）等多维度检测技术，全面获取样品的物理化学性能参数及微观结构演变数据。数据集包含寺庙贝叶模拟样品自然老化综合测试数据，涵盖pH、显微照片、接触角、红外光谱及抗拉性能等基础指标；油脂污染贝叶样品紫外老化测试数据，包含高清图像、数据表、分析报告，以及红外原始文件和XPS测试。该数据集面向文物保护材料劣化机理研究、预防性保护策略制定及文物保护技术人才培养等需求，为贝叶经类有机质文物的油脂污染病害评估、老化模型构建和保护材料筛选提供了标准化、可追溯的科学数据支撑，对同类纸质及纤维质文物的保护具有重要参考价值。This dataset was collected by the National Museum of China (NMC) in collaboration with the Beida Weigou Test Center from April 2023 to May 2025, specifically to meet the scientific conservation requirements for grease contamination-induced deterioration of preserved palm-leaf sutra cultural relics. Through comparative studies of simulated accelerated aging and real-world environmental aging, the dataset systematically documents the deterioration mechanisms and performance evolution patterns of grease-contaminated palm-leaf specimens under the two aging conditions. Data generation employs a comprehensive set of multi-dimensional detection techniques including microscopic morphology observation, pH value measurement, mechanical property testing, infrared spectroscopy analysis, X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and others, to comprehensively obtain the physical and chemical performance parameters and microstructure evolution data of the samples. The dataset includes comprehensive natural aging test data for simulated temple palm-leaf samples, covering basic indicators such as pH, micrographs, contact angle, infrared spectroscopy, and tensile properties; it also contains ultraviolet aging test data for grease-contaminated palm-leaf samples, including high-definition images, data tables, analysis reports, as well as original infrared files and XPS test results. This dataset is designed to support research on deterioration mechanisms of cultural relic conservation materials, formulation of preventive conservation strategies, and training of cultural relic conservation technical talents. It provides standardized and traceable scientific data support for grease contamination damage assessment, aging model construction, and conservation material screening of organic cultural relics such as palm-leaf sutras, and holds significant reference value for the conservation of similar paper and fiber-based cultural relics.

搜集汇总

背景与挑战

背景概述

该数据集针对馆藏贝叶经文物油脂污染病害的科学保护需求，通过模拟紫外光老化和自然老化条件，系统采集了样品的物理化学性能及微观结构演变数据。数据集包含多维度检测技术获取的测试数据，为贝叶经类有机质文物的油脂污染评估、老化模型构建和保护材料筛选提供科学支撑。