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| Rapid determination of the intracellular PHA content during the enhanced biological phosphorus removal using NIR spectroscopy based on the modified PLS methods |
| XU Ling1,2, LI Wei-hua1,2, YANG Ying1,2, YAN Guo-bing1,2, SHUAI Lei1,2, ZHAO Qing1,2 |
1. School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China;
2. Key Laboratory of Anhui Province of Water Pollution Control and Wastewater Reuse, Anhui Jianzhu University, Hefei 230601, China |
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Abstract Poly-β-hydroxyalkanoates (PHA) are vital intracellular storage generated by granular sludge in enhanced biological phosphorus removal (EBPR) reactor, served as carbon and energy source. The rapid determination of PHA is of great significance to the further researches on mechanism of EBPR. Savitzky-Golay smoothing (SG) and Multiplicative scatter correction (MSC) method were jointly used to preprocess the near infrared (NIR) spectra of the sludge samples, the quantitative analysis models between the NIR spectra and the PHA contents were established with modified PLS methods such as interval partial least squares (iPLS), backward interval partial least squares (biPLS) and synergy interval partial least squares (siPLS). SG-MSC pretreatment could effectively diminish the effect of spectrum interference factors. The optimal model was established by four sub-intervals [13,21,24,29] with siPLS method, divided the preprocessed spectrum into 30sub-intervals. The root mean square errors of cross validation (RMSECV) and the root mean square errors of prediction (RMSEP) were 0.2018 and 0.3120 respectively. The correlation coefficients of the calibration and prediction sets were 0.9925 and 0.9391 respectively. The best analysis spectrum band are closely related to the C—H bending vibration and C=O stretching vibration of PHA molecular. The modified PLS could not only optimize the spectra region, enhance the predictive ability of the models, but also realize the rapid and quantitative determination of intracellular PHA content in the granular sludge.
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Received: 03 November 2015
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