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Applying the least squares method for the titrimetric determination of the concentration of VFA

机译:应用最小二乘法滴定法测定VFA浓度

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The titrimetric method is used for on-site measurement of the concentration of volatile fatty acids (VFAs) in anaerobic treatment. In current practice, specific and interpolated pH-volume data points are used to obtain the concentration of VFA by solving simultaneous equations iteratively to convergence (denoted as SEq). Here, the least squares method (LSM) is introduced as an elegant alternative. Known concentrations of VFA (acetic acid and/or propionic acid) ranging from to 200 to 1,000 mg/L were determined using SEq and LSM. Using standard numbers of data points, SEq gave more accurate results compared with LSM. However, results favoured LSM when all data points in the range were included without any interpolation. For model refinement, unit monovalent activity coefficient (f _m = 1) was found reasonable and arithmetic averages of dissociation constants and molecular weight of 80 mol% acetic acid were recommended in the model for VFA determination of mixtures. An accurate result was obtained with a mixture containing more VFA (butyric acid and valeric acid). In a typical VFA measurement of real anaerobic effluent, a satisfactory result with an error of 14% was achieved. LSM appears to be a promising mathematical model solver for determination of concentration of VFA in the titrimetric method. Validation of LSM in the presence of other electrolytes deserves further exploration.
机译:滴定法用于厌氧处理中挥发性脂肪酸(VFA)浓度的现场测量。在当前实践中,通过迭代求解收敛的联立方程(表示为SEq),使用特定的和内插的pH量数据点来获取VFA的浓度。在这里,引入最小二乘法(LSM)作为一种很好的替代方法。使用SEq和LSM测定的已知VFA浓度(乙酸和/或丙酸)范围为200至1,000 mg / L。与LSM相比,使用标准数量的数据点,SEq给出了更准确的结果。但是,当包括范围内的所有数据点而没有任何插值时,结果倾向于LSM。为了改进模型,发现单位单价活度系数(f _m = 1)是合理的,并且在模型中推荐了解离常数和80 mol%乙酸分子量的算术平均值,用于混合物的VFA测定。使用包含更多VFA(丁酸和戊酸)的混合物可获得准确的结果。在典型的实际厌氧废水的VFA测量中,获得了令人满意的结果,误差为14%。 LSM似乎是用滴定法测定VFA浓度的有前途的数学模型求解器。在其他电解质存在下对LSM的验证值得进一步探索。

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