Sedjoah Rita-Cindy Aye-Ayire, Ma Yue, Xiong Meng, Yan Hui
School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212018, China; Key Laboratory of Food Processing and Quality Control, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China.
School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212018, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Nov 5;260:119938. doi: 10.1016/j.saa.2021.119938. Epub 2021 May 11.
This study evaluated the potential of Micro-Electro-Mechanical System (MEMS) and optical fiber Near-Infrared (NIR) spectrometers as a rapid method for monitoring total acids (TA) and total polyphenol content (TPC) in the fermentation process of mulberry vinegar. The NIR spectrometers Digital Light Processing (DLP) NIRscan Nano EVM (MEMS instrument) were used for this purpose, and another NIR spectrometer NIRQuest 512 was used for comparison. The standard Normal Variate (SNV) was selected as the best method used to pre-process spectra, and the competitive adaptive reweighted sampling (CARS) was applied to optimize wavelength variables, which were then subjected to partial least squares (PLS) regression. The results showed that TA and TPC could be determined. For TA, NIRQuest 512 provided a good predictive performance with the root-mean-square error of prediction set (RMSEP) of 0.22% and the R-squared of prediction set (R) of 0.977, whiles DLP NIRscan Nano EVM obtained the RMSEP of 0.32% and Rp of 0.950. For TPC, the NIRQuest 512 provided a predictive performance with the RMSEP of 8.11 mgGAE/L (mg gallic acid equivalent/L) and R of 0.820, and DLP NIRscan Nano EVM had the RMSEP of 8.22 mg GAE/L and Rp of 0.800. In conclusion, the low-price MEMS NIR instruments DLP NIRscan Nano EVM can be applied to monitor TA and TPC in the fermentation broth of mulberry vinegar.
本研究评估了微机电系统(MEMS)和光纤近红外(NIR)光谱仪作为监测桑椹醋发酵过程中总酸(TA)和总多酚含量(TPC)的快速方法的潜力。为此使用了近红外光谱仪数字光处理(DLP)NIRscan Nano EVM(MEMS仪器),并使用另一台近红外光谱仪NIRQuest 512进行比较。选择标准正态变量变换(SNV)作为用于预处理光谱的最佳方法,并应用竞争性自适应重加权采样(CARS)来优化波长变量,然后将其进行偏最小二乘法(PLS)回归。结果表明可以测定TA和TPC。对于TA,NIRQuest 512具有良好的预测性能,预测集的均方根误差(RMSEP)为0.22%,预测集的决定系数(R)为0.977,而DLP NIRscan Nano EVM的RMSEP为0.32%,Rp为0.950。对于TPC,NIRQuest 512的预测性能为RMSEP为8.11 mgGAE/L(mg没食子酸当量/L),R为0.820,DLP NIRscan Nano EVM的RMSEP为8.22 mg GAE/L,Rp为0.800。总之,低价的MEMS近红外仪器DLP NIRscan Nano EVM可用于监测桑椹醋发酵液中的TA和TPC。