【摘要】 该研究通过收集不同产地生漆样本并制备含生桐油、调和油、尿素、红糖、异氰酸酯类固化剂及乙二醇二甲醚稀释剂6类常见掺杂物的模拟掺杂样品，构建了生漆红外光谱参考数据库、质量控制（QC）谱库及掺杂生漆检索谱库。基于此，采用模拟谱图运算与实际掺杂物谱图验证相结合的方法，建立了最佳匹配度与特征吸收峰相结合的双参数判别模型。研究结果表明，该方法对生桐油、调和油、尿素、异氰酸酯类固化剂及乙二醇二甲醚稀释剂5类掺杂物可实现3%～10%的检出限，在相应掺杂比例范围内的识别准确率达92%，满足市场掺假的检测需求。该研究为生漆产品的质量控制及掺杂识别提供了一种高效、准确的分析手段，对规范生漆市场秩序、保障传统工艺品质具有重要应用价值和实践意义。更多还原

【Abstract】 This study utilized infrared spectroscopy to systematically identify and analyze adulteration in raw lacquer. Authentic lacquer samples were collected from multiple production regions,and simulated adulterated samples were prepared by incorporating six common adulterants:raw tung oil,blended oil,urea,brown sugar,curing agent [isocyanate],and diluent [ethylene glycol dimethyl ether]. A comprehensive spectral database was constructed,comprising a reference infrared spectral library for pure lacquer,a quality control(QC) spectral library,and an adulterated sample retrieval library. By integrating simulated spectral computations with experimental validation of adulterant spectra,we developed a novel dual-parameter discrimination model based on optimal spectral matching degree and characteristic absorption peak analysis. Experimental results demonstrated that this method achieved high detection sensitivity(3%-10%) for five of the tested adulterants(raw tung oil,blended oil,urea,curing agent [isocyanate],and diluent [ethylene glycol dimethyl ether]),with a recognition accuracy of 92% within the corresponding adulteration range. The proposed approach provides a reliable and efficient analytical tool for quality assessment and adulteration screening of raw lacquer products. This study holds significant practical value for regulating the lacquer market and preserving the integrity of traditional lacquerware craftsmanship.更多还原