在这研究, Fourier 变换在红外线附近(FT-NIR ) 技术被用于过程监视厌氧的发酵。直角的信号修正(振荡) 方法被用作 NIR 光谱预处理选择。刻度模型被建立,方法的确认与蔗糖,乙醇和内容决定了由的不稳定的丰满的酸(VFA ) 被执行一个王位和煤气的层析方法分别地。光谱范围和内部潜伏的变量的数字为最好的关联系数被优化。蔗糖的测试集合确认导致了预言性能和决心的关联系数的优秀测量是 0.930。为单个 VFA 和全部的 VFA 内容的类似的预言统计被获得。这些结果证明 NIR 光谱学技术能确定在废水的不稳定的丰满的酸和蔗糖的内容厌氧的发酵过程。
In this study, a Fourier transform near-infrared (FT-NIR) technique was used for process monitoring of anaerobic fermentation. Orthogonal signal correction (OSC) method was used as NIR spectral pre- processing options. Calibration models were established and the validation of the method was per- formed with the sucrose, ethanol and volatile fatty acids (VFAs) contents determined by the anthrone and gas chromatography methods, respectively. Spectral range and the number of internal latent variables were optimized for the best correlation coefficient. Test set validation of sucrose resulted in excellent measurement of prediction performance and the correlation coefficient of determination is 0.930. Similar prediction statistics for individual VFA and total VFA contents were obtained. These re- sults proved that the NIR spectroscopy technology is able to quantify the contents of both volatile fatty acids and sucrose in wastewater anaerobic fermentation process.