Near infrared quantitative analysis of total curcuminoids in rhizomes of Curcuma longa by moving window partial least squares regression

被引：12

作者：

Kasemsumran, Sumaporn ^{[1
]}

Keeratinijakal, Vichien ^{[2
]}

Thanapase, Warunee ^{[1
]}

Ozaki, Yukihiro ^{[3
]}

机构：

[1] Kasetsart Univ, Kasetsart Agr & Agro Ind Prod Improvement Inst KA, Bangkok 10900, Thailand

[2] Kasetsart Univ, Dept Agron, Fac Agr, Bangkok 10900, Thailand

[3] Kwansei Gakuin Univ, Sch Sci & Technol, Dept Chem, Sanda, Hyogo 6691337, Japan

来源：

JOURNAL OF NEAR INFRARED SPECTROSCOPY | 2010年 / 18卷 / 04期

关键词：

Curcuma longa; turmeric; near infrared spectroscopy; total curcuminoids; moving window partial least squares regression; HUMAN SERUM-ALBUMIN; GAMMA-GLOBULIN; IN-VIVO; GLUCOSE; CHROMATOGRAPHY; SPECTROSCOPY; SEPARATION; SELECTION; MODELS; PLASMA;

D O I：

10.1255/jnirs.891

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

The present paper reports an application of moving window partial least squares regression (MWPLSR) to determine total curcuminoid content in rhizomes of Curcuma Longa by near infrared (NIR) spectroscopy. The MWPLSR method was applied to original and pretreated NIR data of Curcuma lenge rhizomes to select informative regions for total curcuminoids. Afterward, partial least squares (PLS) calibration models were developed and compared for each spectral region proposed by MWPLSR and the whole spectral region. The best PLS calibration model for total curcuminoids was obtained from 2nd derivative NIR spectra in the region of 2040-2486 nm. The standard error of prediction was 1.00% w/w and the ratio of prediction to deviation was 4.9 when using seven principle components. NIR spectroscopy combined with MWPLSR can lead to better calibration models with higher performance.

引用

页码：263 / 269

页数：7

共 34 条

[31] Inhibitory effect of curcumin on mammalian phospholipase D activity [J].