Partial least square discriminant analysis (PLS-DA) was applied to sort out the difference between mangosteen powder and fake samples measured by near infrared (NIR) spectroscopy. The main feature of the NIR diffuse reflectance spectra of the powder samples are overwhelmed by the baseline change due to the difference in the density and average particle size, making the discrimination difficult. The informative spectral feature was readily elucidated when the NIR spectra were subjected to the second derivative. The PLS-DA of the second derivative spectra revealed a substantial level of difference between the mangosteen powder and fake samples due to the resin and dietary fibre predominantly present in the mangosteen.
AkaoY.NakagawaK.IinumaM. and NozawaY., “Anti-cancer effects of xanthones from pericarps of mangosteen”, Int. J. Mol. Sci.9(3), 355 (2008). doi: 10.3390/ijms9030355
2.
WangJ.J.ShiQ.H.ZhangW. and SandersonB.J.S., “Anti-skin cancer properties of phenolic-rich extract from the pericarp of mangosteen (Garcinia mangostana Linn.)”, Food Chem. Toxicol.50, 3004 (2012). doi: 10.1016/j.fct.2012.06.003
3.
ShanT.MaQ.GuoK.LiuJ.LiW.WangF. and WuE., “Xanthones from mangosteen extracts as natural chemopreventive agents: Potential anticancer drugs”, Curr. Mol. Med.11(8), 666 (2011). doi: 10.2174/156652411797536679
4.
ShanY. and ZhangW., “Preparative separation of major xanthones from mangosteen pericarp using high-performance centrifugal partition chromatography”, J. Sep. Sci.33(9), 1274 (2010). doi: 10.1002/jssc.200900774
5.
ChenS.X.WanM. and LohB.N., “Active constituents against HIV-1 protease from Garcinia mangostana”, Planta Med.62(4), 381 (1996). doi: 10.1055/s-2006-957916
6.
BennettG.J. and LeeH.H., “Xanthones from Guttiferae”, Phytochem.28, 967 (1989). doi: 10.1016/0031-9422(89)80170-0
7.
IinumaM.TosaH.TanakaT.AsaiF.KobayashiY.ShimanoR. and MiyauchiK., “Antibacterial activity of Xanthones from Guttiferaeous plants against methicillin-resistant Staphylococcus aureus”, J. Pharm. Pharmacol.48(8), 861 (1996). doi: 10.1111/j.2042-7158.1996.tb03988.x.
OzakiY.McClureW.F. and ChristyA.A., Near-Infrared Spectroscopy in Food Science and Technology.Wiley-Blackwell, Chichester, UK (2006). doi: 10.1002/0470047704
10.
ReichG., “Near-infrared spectroscopy and imaging: Basic principles and pharmaceutical applications”, Adv. Drug Deliv. Rev.57(8), 1109 (2005). doi: 10.1016/j.addr.2005.01.020
11.
HerkertT.PrinzH. and KovarK.A., “One hundred percent online identity check of pharmaceutical products by near-infrared spectroscopy on the packaging line”, Eur. J. Pharm. Biopharm.51(1), 9 (2001). doi: 10.1016/S0939-6411(00)00126-0
12.
OtsukaM.KatoF.MatsudaY. and OzakiY., “Comparative determination of polymorphs of indomethacin in powders and tablets by chemo-metrical near-infrared spectroscopy and X-ray powder diffractometry”, AAPS PharmSciTech.4(2), 58 (2003). doi: 10.1208/pt040219
13.
BlancoM.CoelloJ.IturriagaH.MaspochS. and De La PezuelaC, “Near-infrared spectroscopy in the pharmaceutical industry. Critical review”, Analyst123, 135 (1998). doi: 10.1039/A802531b
14.
RitthiruangdejP.RitthironR.ShinzawaH. and OzakiY., “Non-destructive and rapid analysis of chemical compositions in Thai steamed pork sausages by near-infrared spectroscopy”, Food Chem.129, 684 (2011). doi: 10.1016/j.foodchem.2011.04.110
15.
PiF.ShinzawaH.WangJ.HanD. and OzakiY., “Partial least square regression with variable-bagged model ensemble”, J. Near Infrared Spectrosc.17, 33 (2009). doi: 10.1255/jnirs.824
16.
SavitzkyA. and GolayM.J.E., “Smoothing and differentiation of data by simplified least squares procedures”, Anal. Chem.36, 1627 (1964). doi: 10.1021/ac60214a047
17.
MartensH. and NaesT., Multivariate Calibration.John Wiley & Sons, Chichester, UK (1991).
18.
WoldS.SjöströmM. and ErikssonL., “PLS-regression: A basic tool of chemometrics”, Chemometr. Intell. Lab. Syst.58, 109 (2001). doi: 10.1016/S0169-7439(01)00155-1
19.
BylesjöM.RantalainenM.CloarecO.NicholsonJ.K.HolmesE. and TryggJ., “OPLS discriminant analysis: Combining the strengths of PLS-DA and SIMCA classification”, J. Chemometr.20, 341 (2006). doi: 10.1002/cem.1006
20.
ShinzawaH.AwaK. and OzakiY., “Compression-induced morphological and molecular structural changes of cellulose tablets probed with near infrared imaging”, J. Near Infrared Spectrosc.1, 15 (2011). doi: 10.1255/jnirs.918
21.
ShinzawaH.AwaK. and OzakiY., “Compression effect on sustained-release and water absorption properties of cellulose tablets studied by heterospectral two-dimensional (2D) correlation analysis”, Anal. Methods4, 1530 (2012). doi: 10.1039/C1AY05392b
