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首页> 外文期刊>Journal of Biotechnology >At-line determination of octanoic acid in cultivation broth-An electronic tongue (ET) feasibility study
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At-line determination of octanoic acid in cultivation broth-An electronic tongue (ET) feasibility study

机译：在线测定培养液中的辛酸-电子舌（ET）可行性研究

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摘要

Production monitoring of "natural" 2-heptanone from octanoic acid in an industrial fed-batch cultivation based on Penicillium roqueforti requires development of a method for determination of octanoic acid dissolved in the water phase. An electronic tongue array using six non-specific potentiometric sensors with solid inner contact, and a pH electrode, has been introduced by spiking octanoic acid to a substrate obtained from four different cultivations, representing variations in the relevant industrial matrix. Multivariate calibration was performed on acid concentrations spanning 0.65-20mmoll(-1). Excluding the lowest concentration a global Partial Least Square regression model with a predicted versus measured correlation of 0.98 and a relative root mean square error of prediction of 5.1% (ln units) (RPD=5.5) signifies a highly acceptable prediction facility. This model was further tested by subjecting it to undiluted as well as diluted samples obtained from a cultivation process in which octanoic acid was catabolized; this led to acceptable prediction errors within the same range as for the global model. It is concluded that the ET sensor array can be applied for determination of octanoic acid in cultivation systems of the general P. roqueforti type.
机译：在基于罗氏青霉的工业补料分批培养中，从辛酸中生产“天然” 2-庚酮的生产监控需要开发一种测定溶解在水相中的辛酸的方法。通过将辛酸加标到由四种不同栽培获得的基质上，引入了一个电子舌阵列，该阵列使用了六个具有内部固体接触的非特异性电位传感器和一个pH电极，代表了相关工业基质的变化。对酸浓度范围为0.65-20mmoll（-1）进行多变量校准。除最低浓度外，全球偏最小二乘回归模型的预测与实测相关性为0.98，相对预测均方根误差为5.1％（单位：in）（RPD = 5.5），这表示预测工具非常容易接受。通过对模型进行未经稀释的稀释样品和从辛酸分解代谢的培养过程中得到的样品进行了进一步测试。这导致在与全局模型相同的范围内可接受的预测误差。结论是，ET传感器阵列可用于测定普通罗氏沼虾培养系统中的辛酸。

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