文物保护与考古科学2025，Vol.37Issue(2)：1-7,7.DOI:10.16334/j.cnki.cn31-1652/k.20231103095
基于脂肪酸同位素技术的秦俑彩绘胶结材料研究
Study of the pigment binding media on the Terra-cotta Army of Emperor Qinshihuang using fatty acid stable isotopic analysis
摘要
Abstract
In this research,we attempted to identify the specific sources of the organic binding media from the Terra-cotta Army of Emperor Qinshihuang.Gas chromatography-mass spectrometry(GC-MS)was used to analyze the organic matter extracted from the pigment layer and the result shows that the main components were fatty acids and their oxidation products.Further identification using gas chromatography-combustion-isotope ratio mass spectrometry(GC-C-IRMS)obtained the Δ13 C values of stearic acid and palmitic acid,which were similar to those of ruminants.Combined with the literature,it was speculated that the bovine glue was used as the binding media for the pigments of the Terracotta Army.After the introduction of supercritical fluid extraction(SFE)and total lipid extraction(TLE),the extraction effects of the same sample were compared between different extraction methods.The result shows that the extraction efficiency was significantly improved to capture additional components via SFE,compared with the conventional chemical-reagent extraction method.Featuring the advantages of streamlined process,short time consumption and less chemical pollution,SFE could possibly perform better for the extraction for precious archaeological materials.The successful application of fatty acid stable isotopic analysis(FASIA)to the pigment binding media on the Terra-cotta Army of Qinshihuang indicates that it is an effective measure and will have great potentials in the studies of archaeological organic residues in the future.关键词
秦始皇帝陵兵马俑/彩绘胶结材料/超临界流体萃取/脂肪酸同位素分析Key words
Terra-cotta Army of Emperor Qinshihuang/Pigment binding media/Supercritical fluid extraction/FASIA引用本文复制引用
马颖,赵楹,张尚欣,褚涵宇,朱思红,付倩丽..基于脂肪酸同位素技术的秦俑彩绘胶结材料研究[J].文物保护与考古科学,2025,37(2):1-7,7.基金项目
国家重点研发计划(2022YFF0903800)资助,秦始皇帝陵博物院青年开放课题(QKFKT202109)资助 （2022YFF0903800）
