Dunham Noah T, Kane Erin E, Rodriguez-Saona Luis E
Department of Anthropology, The Ohio State University, Columbus, Ohio.
Department of Food Science and Technology, The Ohio State University, Columbus, Ohio.
Am J Primatol. 2016 Jul;78(7):701-6. doi: 10.1002/ajp.22533. Epub 2016 Jan 28.
Identifying the nutritional composition of food items has significant ramifications for primate feeding ecology, which, in turn, influences investigations of primate sociality, cognition, and conservation. The aim of our study was to analyze water soluble carbohydrate (WSC) concentrations in the leaves of trees common to the Diani Forest of Kenya. Many of these leaves are consumed by black and white colobus monkeys (Colobus angolensis palliatus). We assessed whether the infrared spectral data collected using a portable spectrometer can be used to accurately predict WSC concentrations. WSC content was first quantified using the phenol-sulfuric acid method for young and mature leaves of 24 species and ranged from 1.15% to 9.16% dry weight. Spectral data were recorded with a spectrometer equipped with an attenuated total reflectance accessory (Agilent Cary 630) and analyzed using partial least squares regression. The spectral region from 1600 cm(-1) to 1000 cm(-1) gave unique polysaccharide bands associated with carboxyl, acetyl, and glycosidic linkages of sugar residues. The multivariate analysis gave excellent performance parameters with correlation coefficient (r(2) ) of 0.95 and standard error of cross-validation of 0.6% WSC. We found that IR spectroscopy provides a rapid and accurate technique for analyzing WSC concentrations and offers primatologists many advantages over wet chemistry methods for analyzing nutritional composition. Am. J. Primatol. 78:701-706, 2016. © 2016 Wiley Periodicals, Inc.
确定食物的营养成分对灵长类动物的觅食生态学具有重大影响,而这反过来又会影响对灵长类动物社会性、认知和保护的研究。我们研究的目的是分析肯尼亚迪亚尼森林中常见树木叶片中的水溶性碳水化合物(WSC)浓度。这些树叶中有许多被黑白疣猴(安哥拉疣猴指名亚种)食用。我们评估了使用便携式光谱仪收集的红外光谱数据是否可用于准确预测WSC浓度。首先使用苯酚 - 硫酸法对24种植物的幼叶和成熟叶中的WSC含量进行定量,其干重范围为1.15%至9.16%。用配备衰减全反射附件的光谱仪(安捷伦Cary 630)记录光谱数据,并使用偏最小二乘法回归进行分析。1600 cm(-1)至1000 cm(-1)的光谱区域给出了与糖残基的羧基、乙酰基和糖苷键相关的独特多糖带。多变量分析给出了出色的性能参数,相关系数(r(2))为0.95,交叉验证的标准误差为0.6%WSC。我们发现红外光谱法为分析WSC浓度提供了一种快速准确的技术,与用于分析营养成分的湿化学方法相比,为灵长类动物学家提供了许多优势。《美国灵长类学杂志》78:701 - 706, 2016。©2016威利期刊公司