近红外光谱
偏最小二乘回归
内容(测量理论)
化学
光谱学
均方误差
相关系数
分析化学(期刊)
决定系数
数学
色谱法
统计
光学
数学分析
物理
量子力学
作者
Quansheng Chen,Jiao Ding,Jianrong Cai,Zongbao Sun,Jiewen Zhao
标识
DOI:10.1111/j.1750-3841.2011.02549.x
摘要
Abstract: Total acid content (TAC) and soluble salt‐free solids content (SSFSC) in Chinese vinegar are 2 important indicators in the assessment of its quality. This paper shows the feasibility to determine TAC and SSFSC in Chinese vinegar by near‐infrared (NIR) spectroscopy. Synergy interval partial least square (Si‐PLS) algorithm was performed to calibrate the regression model. The number of PLS factors and the number of intervals were optimized simultaneously by cross‐validation. The performance of the model was evaluated according to root mean square error of prediction ( RMSEP ) and correlation coefficient ( R ) in the prediction set. The optimum Si‐PLS model for TAC was achieved with RMSEP = 0.264 g/100 mL and R p = 0.9655; the optimum Si‐PLS model for SSFSC was achieved with RMSEP = 1.93 g/100 mL and R p = 0.9302. The overall results demonstrated that NIR spectroscopy combined with Si‐PLS could be utilized to determinate TAC and SSFSC in Chinese vinegar, and NIR spectroscopy has a potential to be used in vinegar industry.
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