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作 者:郭海涛[1]
机构地区:[1]南京森林警察学院刑事科学技术系,南京210046
出 处:《四川农业大学学报》2013年第4期451-455,共5页Journal of Sichuan Agricultural University
基 金:2010年国家公益项目林业专项科研项目(201004094)
摘 要:【目的】了解貉和狼毛发的红外光谱特征。【方法】使用红外光谱对貉的绒毛和针毛、针毛的不同部位进行分析,并对貉和狼针毛的红外光谱进行了比较。【结果】结果表明,貉的绒毛和针毛都反映出该物种毛发的特征性成分,均可作为貉毛发识别的研究对象;貉的毛发中部图谱更能反映出毛发的物种特征,可作为有效的红外光谱检测部位;貉和狼针毛的红外图谱及其二阶导数谱能反映出二者的亲缘关系,也具有明显的种间差异,如655~685cm-。和640~624cm。范围内两种动物的峰形和出峰位置均有较大差异;貉的二阶导数谱在795cm。位置有一个典型特征性吸收峰,在706~769cm。波数范围内有7个较尖锐的单峰峰强依次减小,而狼的8个单峰的峰强变化较大。【结论】红外光谱分析方法可以应用于动物毛发的检测分析,二阶导数谱可更好地反映种问差异,在毛发的研究领域有广阔的应用前景。[Objective] To investigate the hair infrared spectral characterization of Nyctereutes pro- cyonoides and Canis lupus. [Method] Infrared spectroscopy was employed to analysis the Nyc- tereutes procyonoides villus and guard hairs from different body parts, and compared it with the infrared spectral of Canis lupus hair. [Results] The results showed that the infrared spectrum both detected from villus and guard hairs of Nyctereutes procyonoides could reflect the varietal characteristic of hair composition which can be regarded as a maker for Nyctereutes procyonoides hair identification. Compared to other part of the Nyctereutes procyonoides guard hair, the infra- red spectrum of middle part can reflect the species characteristics clearer which should be treated as an effective position for infrared spectrum detection. Though the hair infrared spectral and sec- ond order derivative spectrum can detect the relationship between Nyctereutes procyonoides and Canis lupus, intervarietal distinction is still exist. Such as, there is a distinct difference of the peak shape and the peak position between the range of 655--685 cm-1 and 640--624 cm-1 , and a typical characteristic absorption peak was occurred at 795 cm-1 1 of the second order derivative spectrum of Nyctereutes procyonoides. The peak strong of seven sharper single peak reduced in turn at the range of 706--769 cm1, but the peak strong of eight single peak of Canis lupus varied greatly. [Conclusion] The infrared spectral can be applied in the research of animal hairs and the second order derivative spectrum is better for species identification which has broad application and prospects in the research of hair.
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