Citation: Yong Nian Ni, Wei Lin. Near-infrared spectra combined with partial least squares for pH determination of toothpaste of different brands[J]. Chinese Chemical Letters, ;2011, 22(12): 1473-1476. doi: 10.1016/j.cclet.2011.07.010 shu

Near-infrared spectra combined with partial least squares for pH determination of toothpaste of different brands

Yong Nian Ni ^a,b, ,
Wei Lin ^b

a State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China;
b Department of Chemistry, Nanchang University, Nanchang 330031, China

Received Date: 4 May 2011

Fund Project: The authors gratefully acknowledge the financial support by the National Natural Science Foundation of China (No.21065007) and the State Key Laboratory of Food Science and Technology of Nanchang University (Nos.MB-201002 and TS-200919).

Near-infrared spectroscopy (NIR), which is generally used for online monitoring of the food analysis and production process, was applied to determine the internal quality of toothpaste samples. It is acknowledged that the spectra can be significantly influenced by non-linearities introduced by light scatter, therefore, four data preprocessing methods, including off-set correction, 1st-derivative, standard normal variate (SNV) and multiplicative scatter correction (MSC), were employed before the date analysis. The multivariate calibration model of partial least squares (PLS) was established and then was used to predict the pH values of the toothpaste samples of different brand. The results showed that the spectral date processed by MSC was the best one for predicting the pH value of the toothpaste samples.
- Toothpaste,
- NIR spectroscopy,
- Partial least squares,
- Preprocessing,
- pH value
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