考古陶器中痕量脂质残留物分析研究进展OA
Research Progress of Trace Lipid Residue Analysis of Archaeological Pottery
古代陶器中残留物的信息是揭示人类饮食结构、烹饪活动和生存方式的关键证据.残留物分析是利用化学分析的方法,从分子层面检测残留物的化学成分并追溯其生物来源,其中脂类物质因其化学稳定性和来源特异性,成为陶器残留物研究的主要对象.国外在该领域研究起步较早,目前,关于陶器脂质残留物的研究主要是考古学背景下的文化阐释,而从化学角度进行定性和定量的研究鲜见报道.鉴于此,本综述概述了考古陶器残留物中常见的脂质生物标志物,陶器脂质残留物分析方法(包括采样、提取和检测方法)的研究进展,探讨了分析过程中可能引入的污染来源,并提出了针对性的污染防治策略.分析梳理了当前研究方法的局限性,并对未来研究进行了展望.
Organic residues from pottery can provide answers to a variety of archaeological questions about diet,food storage and processing,domestication of animals,etc.,thus contributing to unveiling crucial hints about daily life of the ancient societies.Organic residue analysis utilizes analytical chemical techniques to identify thenature and origins of organic remains that cannot be characterized using traditional techniques of archaeological investigation(because they are either amorphous or invisible).According to the literature,lipid molecules are the most durable and widespread biomarkers in ancient pottery.Although extensive research has been conducted on pottery lipid residues for archaeological interpretation,there has been little effort to characterize and quantify these residues from a rigorous chemical perspective.Accordingly,this article provides an overview of common lipid biomarkers found in archaeological pottery residues.It reviews advances in analytical methodologies,including sampling,extraction,and instrumental detection techniques.Furthermore,it examines potential sources of contamination introduced during analysis and proposes targeted strategies for its mitigation.Finally,this study identifies the limitations of the existing methodologies,and proposes promising avenues for future work.
李如玉;刘睿颖;陈小三;杭侃;双少敏
山西大学化学化工学院,太原 030006山西大学化学化工学院,太原 030006山西大学考古文博学院,太原 030006山西大学考古文博学院,太原 030006山西大学化学化工学院,太原 030006
化学化工
考古陶器脂质残留物分析生物标志物气相色谱-质谱分析
ArchaeologyPotteryLipid residue analysisBiomarkersGas chromatography-mass spectrometry
《应用化学》 2026 (8)
1204-1228,25
山西省基础研究计划项目(No.202303021221081)资助 Supported by the Fundamental Research Program of Shanxi Province(No.202303021221081)
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