Smith A B, Belcher A M, Epple G, Jurs P C, Lavine B
Science. 1985 Apr 12;228(4696):175-7. doi: 10.1126/science.3975636.
Computerized pattern recognition techniques can be applied to the study of complex chemical communication systems. Analysis of high resolution gas chromatographic concentration patterns of the major volatile components of the scent marks of a South American primate, Saguinus fuscicollis, demonstrates that the concentration patterns can be used to predict the gender and subspecies of unknown donors.
计算机模式识别技术可应用于复杂化学通讯系统的研究。对一种南美灵长类动物——褐喉三趾树懒（Saguinus fuscicollis）气味标记中主要挥发性成分的高分辨率气相色谱浓度模式进行分析，结果表明这些浓度模式可用于预测未知捐赠者的性别和亚种。
