INRA, UR0050, Laboratoire de Biotechnologie de l'Environnement, 102, Avenue des Etangs, F-11100, Narbonne, France; BioEnTech, 74 Av. Paul Sabatier, F-11100, Narbonne, France.
INRA, UR0050, Laboratoire de Biotechnologie de l'Environnement, 102, Avenue des Etangs, F-11100, Narbonne, France.
Water Res. 2016 May 15;95:268-79. doi: 10.1016/j.watres.2016.03.017. Epub 2016 Mar 10.
Volatile fatty acids (VFA), inorganic carbon (IC) and total ammonia nitrogen (TAN) are key variables in the current context of anaerobic digestion (AD). Accurate measurements like gas chromatography and infrared spectrometry have been developed to follow the concentration of these compounds but none of these methods are affordable for small AD units. Only titration methods answer the need for small plant monitoring. The existing methods accuracy was assessed in this study and reveals a lack of accuracy and robustness to control AD plants. To solve these issues, a new titrimetric device to estimate the VFA, IC and TAN concentrations with an improved accuracy was developed. This device named SNAC (System of titration for total ammonia Nitrogen, volatile fatty Acids and inorganic Carbon) has been developed combining the measurement of electrical conductivity and pH. SNAC were tested on 24 different plant samples in a range of 0-0.16 mol.L(-1) TAN, 0.01-0.21 mol.L(-1) IC and 0-0.04 mol.L(-1) VFA. The standard error was about 0.012 mol.L(-1) TAN, 0.015 mol.L(-1) IC and 0.003 mol.L(-1) VFA. The coefficient of determination R(2) between the estimated and reference data was 0.95, 0.94 and 0.95 for TAN, IC and VFA respectively. Using the same data, current methods based on key pH points lead to standard error more than 14.5 times higher on VFA and more than 1.2 times higher on IC. These results show that SNAC is an accurate tool to improve the management of AD plant.
挥发性脂肪酸(VFA)、无机碳(IC)和总氨氮(TAN)是当前厌氧消化(AD)的关键变量。已经开发出气相色谱和红外光谱等精确测量方法来跟踪这些化合物的浓度,但这些方法都不适合小型 AD 装置。只有滴定方法才能满足小型工厂监测的需求。本研究评估了现有方法的准确性,结果表明这些方法的准确性和稳健性都不足以控制 AD 工厂。为了解决这些问题,开发了一种新的滴定设备,可以提高准确性来估计 VFA、IC 和 TAN 的浓度。该设备名为 SNAC(总氨氮、挥发性脂肪酸和无机碳的滴定系统),它结合了电导率和 pH 的测量方法。SNAC 在 24 种不同的工厂样本中进行了测试,测试范围为 0-0.16 mol·L(-1) TAN、0.01-0.21 mol·L(-1) IC 和 0-0.04 mol·L(-1) VFA。标准误差约为 0.012 mol·L(-1) TAN、0.015 mol·L(-1) IC 和 0.003 mol·L(-1) VFA。估计值和参考数据之间的决定系数 R(2) 分别为 0.95、0.94 和 0.95,用于 TAN、IC 和 VFA。使用相同的数据,基于关键 pH 点的当前方法导致 VFA 的标准误差高出 14.5 倍以上,IC 的标准误差高出 1.2 倍以上。这些结果表明,SNAC 是一种改进 AD 工厂管理的精确工具。