Quantification of bioactive gentiopicroside in the medicinal plant Gentiana scabra Bunge using Near infrared spectroscopy

Journal of Food and Drug Analysis

Volumn 21, Issue 3, 2013, Pages 317-324

  Chuang, Yung Kun ^a,b   Chen, Suming ^a   Lo, Yangming Martin ^b   Yang, I Chang ^b   Cheng, Yu Fan ^a   Wang, Ching Yin ^a   Tsai, Chao Yin ^a   Hsieh, Ruey Min ^c   Wang, Kuo Hsi ^c   Lai, Chuo Chun ^c   Chen, Wen Chung ^c  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF MARYLAND   (United States)

^c Taiwan Sugar Research Institute   (Taiwan)

Author keywords

Calibration model; Gentiana scabra Bunge; Gentiopicroside; Near infrared spectroscopy

Indexed keywords

GENTIOPICRIN; SILICON;

ARTICLE; CALIBRATION; CHARGE COUPLED DEVICE; CHEMICAL COMPOSITION; CONTROLLED STUDY; DEVICES; DRUG DETERMINATION; GENTIAN; GENTIANA SCABRA; GROWTH CURVE; LIMIT OF QUANTITATION; MEDICINAL PLANT; MODIFIED PARTIAL LEAST SQUARE REGRESSION; MOLECULAR IMAGING; MONITORING; NEAR INFRARED SPECTROSCOPY; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PLANT GROWTH; PLANT TISSUE CULTURE; SPECTRAL SENSITIVITY; STEP WISE MULTIPLE REGRESSION;

GENTIANA SCABRA;

EID: 84885670245     PISSN: 10219498     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfda.2013.07.011     Document Type: Article

References (30)

1. Kakuda R, Iijima T, Yaoita Y, et al. Secoiridoid glycosides from Gentiana scabra. J Nat Prod 2001;64:1574-5.
2. Kim JA, Son NS, Son JK, et al. Two new secoiridoid glycosides from the rhizomes of Gentiana scabra Bunge. Arch Pharm Res 2009;32:863-7.
3. Zhang HL, Xue SH, Pu F, et al. Establishment of hairy root lines and analysis of gentiopicroside in the medicinal plant Gentiana macrophylla. Russ J Plant Physiol 2010;57:110-7.
4. Cai Y, Liu Y, Liu Z, et al. High-frequency embryogenesis and regeneration of plants with high content of gentiopicroside from the Chinese medicinal plant Gentiana straminea Maxim. In Vitro Cell Dev Biol Plant 2009;45:730-9.
5. Glatz Z, Pospísilová J, Musil P. Determination of gentiopicroside in extracts of Centaurium erythreae and Gentiana lutea by micellar electroldnetic capillary chromatography. J Liq Chromatogr Relat Technol 2000;23:1831-9.
6. Szücs Z, Dános B, Nyiredy SZ. Comparative analysis of the underground parts of Gentiana species by HPLC with diodearray and mass spectrometric detection. Chromatographia 2002;56:S19-23.
7. Kikuchi M, Kakuda R, Kikuchi M, et al. Secoiridoid glycosides from Gentiana scabra. J Nat Prod 2005;68:751-3.
8. Carnat A, Fraisse D, Carnat AP, et al. Influence of drying mode on iridoid bitter constituent levels in gentian root. J Sci Food Agric 2005;85:598-602.
9. Kušar A, Šircelj H, Baričevič D. Determination of seco-iridoid and 4-pyrone compounds in hydro-alcoholic extracts of Gentiana lutea L. subsp. symphyandra Murb. leaves and roots by using high performance liquid chromatography. Isr J Plant Sci 2010;58:291-6.
10. Hayta S, Akgun IH, Ganzera M, et al. Shoot proliferation and HPLC-determination of iridoid glycosides in clones of Gentiana cruciata L. Plant Cell Tissue Organ Cult 2011;107:175-80.
11. Hayta S, Gurel A, Akgun IH, et al. Induction of Gentiana cruciata hairy roots and their secondary metabolites. Biologia 2011;66:618-25.
12. Aberham A, Schwaiger S, Stuppner H, et al. Quantitative analysis of iridoids, secoiridoids, xanthones and xanthone glycosides in Gentiana lutea L. roots by RP-HPLC and LC-MS. J Pharm Biomed Anal 2007;45:437-42.
13. Aberham A, Pieri V, Croom Jr EM, et al. Analysis of iridoids, secoiridoids and xanthones in Centaurium erythraea, Frasera caroliniensis and Gentiana lutea using LC-MS and RP-HPLC. J Pharm Biomed Anal 2011;54:517-25.
14. Nastasijević B, Lazarević-Pašti T, Dimitrijević-Branković S, et al. Inhibition of myeloperoxidase and antioxidative activity of Gentiana lutea extracts. J Pharm Biomed Anal 2012;66:191-6.
15. Woo YA, Kim HJ, Ze KR, et al. Near-infrared (NIR) spectroscopy for the non-destructive and fast determination of geographical origin of Angelicae gigantis Radix. J Pharm Biomed Anal 2005;36:955-9.
16. Zhang Z, Tang Y. Identification of rhubarb samples by using NIR spectrometry and Takagi-Sugeno fuzzy system. Spectr Lett 2005;38:447-57.
17. Wang L, Lee F S C, Wang X. Near-infrared spectroscopy for classification of licorice (Glycyrrhizia uralensis Fisch) and prediction of the glycyrrhizic acid (GA) content. LWT Food Sci Technol 2007;40:83-8.
18. Chen X, Wu D, He Y, et al. Nondestructive differentiation of Panax species using visible and shortwave near-infrared spectroscopy. Food Bioprocess Technol 2011;4:753-61.
19. Wu Z, Xu B, Du M, et al. Validation of a NIR quantification method for the determination of chlorogenic acid in Lom'cera japonica solution in ethanol precipitation process. J Pharm Biomed Anal 2012;62:1-6.
20. Paris I, Janoly-Dumenil A, Paci A, et al. Near infrared spectroscopy and process analytical technology to master the process of busulfan paediatric capsules in a university hospital. J Pharm Biomed Anal 2006;41:1171-8.
21. Jamrógiewicz M. Application of the near-infrared spectroscopy in the pharmaceutical technology. J Pharm Biomed Anal 2012;66:1-10.
22. Porfire A, Rus L, Vonica AL, et al. High-throughput NIR-chemometric methods for determination of drug content and pharmaceutical properties of indapamide powder blends for tabletting. J Pharm Biomed Anal 2012;70:301-9.
23. Wold S, Sjöström M, Eriksson L. PLS-regression: a basic tool of chemometrics. Chemom Intell Lab Syst 2001;58:109-30.
24. Chang WH, Chen S, Tsai CC. Development of a universal algorithm for use of NIR in estimation of soluble solids in fruit juices. Trans ASAE 1998;41:1739-45.
25. de Noord OE. The influence of data preprocessing on the robustness and parsimony of multivariate calibration models. Chemom Intell Lab Syst 1994;23:65-70.
26. Fearn T. Standardisation and calibration transfer for near infrared instruments: a review. J Near Infrared Spec 2001;9:229-44.
27. Helland IS, Naes T, Isaksson T. Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data. Chemom Intell Lab Syst 1995;29:233-41.
28. Maleki MR, Mouazen AM, Ramon H, et al. Multiplicative scatter correction during on-line measurement with near infrared spectroscopy. Biosyst Eng 2007;96:427-33.
29. Isaksson T, Naes T. The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy. Appl Spectrosc 1988;42:1273-84.
30. Thennadil SN, Martens H, Kohler A. Physics-based multiplicative scatter correction approaches for improving the performance of calibration models. Appl Spectrosc 2006;60:315-21.