Determination of total phenolic compounds in compost by infrared spectroscopy

被引：43

作者：

Cascant, M. M. ^{[1
]}

Sisouane, M. ^{[2
]}

Tahiri, S. ^{[2
]}

El Krati, M. ^{[2
]}

Cervera, M. L. ^{[1
]}

Garrigues, S. ^{[1
]}

de la Guardia, M. ^{[1
]}

机构：

[1] Univ Valencia, Dept Analyt Chem, 50 Dr Moliner St,Res Bldg, E-46100 Valencia, Spain

[2] Chouaib Doukkali Univ, Lab Water & Environm, Dept Chem, Fac Sci El Jadida, El Jadida, Morocco

来源：

TALANTA | 2016年 / 153卷

关键词：

Near-infrared spectroscopy; Mid-infrared spectroscopy; Total phenolic compounds; Compost; Partial least square; ANTIOXIDANT CAPACITY; NIR SPECTROSCOPY; QUANTIFICATION; WINES; ACIDS; ATR;

D O I：

10.1016/j.talanta.2016.03.020

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Middle and near infrared (MIR and NIR) were applied to determine the total phenolic compounds (TPC) content in compost samples based on models built by using partial least squares (PLS) regression. The multiplicative scatter correction, standard normal variate and first derivative were employed as spectra pretreatment, and the number of latent variable were optimized by leave-one-out cross-validation. The performance of PLS-ATR-MIR and PLS-DR-NIR models was evaluated according to root mean square error of cross validation and prediction (RMSECV and RMSEP), the coefficient of determination for prediction (R-pred(2)) and residual predictive deviation (RPD) being obtained for this latter values of 5.83 and 8.26 for MIR and NIR, respectively. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：360 / 365

页数：6

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