Pestle William J, Hubbe Mark, Smith Erin K, Stevenson Joseph M
Department of Anthropology, University of Miami, Coral Gables, FL, 33124-2005.
Department of Anthropology, The Ohio State University, Columbus, OH, 43210.
Am J Phys Anthropol. 2015 Aug;157(4):694-703. doi: 10.1002/ajpa.22743. Epub 2015 Mar 27.
Development of a model for the prediction of δ(13) Cprotein from δ(13) Ccollagen and Δ(13) Cap-co . Model-generated values could, in turn, serve as "consumer" inputs for multisource mixture modeling of paleodiet.
Linear regression analysis of previously published controlled diet data facilitated the development of a mathematical model for predicting δ(13) Cprotein (and an experimentally generated error term) from isotopic data routinely generated during the analysis of osseous remains (δ(13) Cco and Δ(13) Cap-co ).
Regression analysis resulted in a two-term linear model (δ(13) Cprotein (%) = (0.78 × δ(13) Cco ) - (0.58× Δ(13) Cap-co ) - 4.7), possessing a high R-value of 0.93 (r(2) = 0.86, P < 0.01), and experimentally generated error terms of ±1.9% for any predicted individual value of δ(13) Cprotein . This model was tested using isotopic data from Formative Period individuals from northern Chile's Atacama Desert.
The model presented here appears to hold significant potential for the prediction of the carbon isotope signature of dietary protein using only such data as is routinely generated in the course of stable isotope analysis of human osseous remains. These predicted values are ideal for use in multisource mixture modeling of dietary protein source contribution.
开发一种根据δ(13)C胶原蛋白和Δ(13)C ap-co预测δ(13)C蛋白质的模型。模型生成的值反过来可作为古饮食多源混合模型的“消费者”输入。
对先前发表的对照饮食数据进行线性回归分析，有助于开发一个数学模型，用于根据骨遗骸分析过程中常规生成的同位素数据（δ(13)Cco和Δ(13)C ap-co）预测δ(13)C蛋白质（以及实验生成的误差项）。
回归分析得出一个二项线性模型（δ(13)C蛋白质(%) = (0.78 × δ(13)Cco) - (0.58 × Δ(13)C ap-co) - 4.7），R值高达0.93（r(2) = 0.86，P < 0.01），并且对于任何预测的δ(13)C蛋白质个体值，实验生成的误差项为±1.9%。使用来自智利北部阿塔卡马沙漠形成期个体的同位素数据对该模型进行了测试。
本文提出的模型似乎具有很大潜力，仅使用人类骨遗骸稳定同位素分析过程中常规生成的数据就能预测膳食蛋白质的碳同位素特征。这些预测值非常适合用于膳食蛋白质来源贡献的多源混合模型。
