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Quality assessment of Moringa seed shells based on fingerprinting using HPLC-DAD

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A fingerprint analysis method was established for the quality control of Moringa seed shells by high-performance liquid chromatography with diode array detection (HPLC–DAD). The HPLC–DAD separation was performed on a Thermo Hypersil Gold C18 (4.6 mm × 250 mm, 5 μm) column by gradient elution with acetonitrile–water as mobile phase. The fingerprint of Moringa seed shells was established with good precision, reproducibility, and stability obtaining within 60 min, and 13 common peaks in the fingerprint were designed. Similarity analysis, principal component analysis (PCA), and hierarchical clustering analysis (HCA) were carried out to analyze the obtained fingerprints. The similarity among 11 batches of samples in addition to No. 5 and 6 was no less than 0.92. Eleven samples could be classified into 2 clusters. The HPLC fingerprint technology and application of chemical pattern recognition can provide a more comprehensive reference for the quality control of medicinal plants.
Słowa kluczowe
Rocznik
Strony
28--33
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Kunming University of Science and Technology, Kunming 650093, China
autor
  • Kunming University of Science and Technology, Kunming 650093, China
  • Kunming University of Science and Technology, Kunming 650093, China
autor
  • Kunming 650223, China
autor
  • Kunming University of Science and Technology, Kunming 650500, Yunnan, China
Bibliografia
  • [1] Abdulkarim, S. M.; Long, K.; Lai, O. M.; Muhammad, S. K. S.; Ghazali, H. M. Food Chem. 2005, 93, 253–263.
  • [2] Palafox, J. O.; Navarrete, A.; Sacramento-Rivero, J. C.; Rubin-Atoche, C.; Escoffie, P. A.; Rocha-Uribe, J. A. Am. J. Anal. Chem. 2012, 3, 946–949.
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  • [9] Ijarotimi, O. S.; Adeoti, O. A.; Ariyo, O. Food Sci. Nutr. 2013, 1, 452–463.
  • [10] Jung, I. L. Plos One 2014, 9, 1–10.
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  • [12] Mbikay, M. Front. Pharmacol. 2012, 3, 1–12.
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  • [17] Pachauri, S. D.; Khandelwal, K.; Singh, S. P.; Sashidhara, K. V.; Dwivedi, A. K. Med. Chem. Res. 2013, 22, 5284–5289.
  • [18] Khan, W.; Parveen, R.; Chester, K.; Parveen, S.; Ahmad, S. Front. Pharmacol. 2017, 8, 577.
  • [19] Coppin, J. P.; Xu, Y.; Chen, H.; Pan, M. H.; Ho, C. T.; Juliani, R.; Simon, J. E.; Wu, Q. J. Funct. Foods 2013, 5, 1892–1899.
  • [20] Nouman, W.; Anwar, F.; Gull, T.; Newton, A.; Rosa, E.; Domínguez-Perles, R. Ind. Crop. Prod. 2016, 83, 166–176.
  • [21] Rodríguez-Pérez, C.; Gilbert-López, B.; Mendiola, J. A.; Quirantes-Piné, R.; Segura-Carretero, A.; Ibañez, E. Electrophoresis 2016, 37, 1938–1946.
  • [22] Alaerts, G.; Pieters, S.; Logie, H.; Erps, J. V.; Merino-Arévalo, M.; Dejaegher, B.; Smeyers-Verbeke, J.; Heyden, Y. V. J. Pharm. Biomed. Anal. 2014, 95, 34–46.
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  • [25] Zhou, Y.; Xu, G.; Choi, F. F. K.; Ding, L. S.; Han, Q. B.; Song, J. Z.; Qiao, C. F.; Zhao, Q. S.; Xu, H. X., J. Chromatogr. A 2009, 1216, 4847–4858.
  • [26] Gao, W.; Gray, N.; Heaton, J.; Smith, N. W.; Jia, Y.; L-Quigley, C. J. Chromatogr. A 2012, 1228, 324–328.
  • [27] Gao, P. P.; Shi, B.; Li, Z. C.; Wang, P.; Yin, C. C.; Yin, Y. J.; Zan, L. S. Food Anal. Method 2018, 11, 23–33.
  • [28] Esteki, M.; Farajmand, B.; Kolahderazi, Y.; Simal-Gandara, J. Food Anal. Method 2017, 10, 3312–3320.
  • [29] Peng, L.; Wang, Y. Z.; Zhu, H. B.; Chen, Q. M. Food Chem, 2011, 125, 1064–1071.
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  • [31] Patras, A.; Brunton, N. P.; Downey, G.; Rawson, A.; Warriner, K.; Gernigon, G. J. Food Compos. Anal. 2011, 24, 250–256.
  • [32] Perez-Martin, L.; Bustamante-Rangel, M.; Delgado-Zamarreno, M. M. Food Anal. Method 2017, 10, 1191–1201.
  • [33] Yu, X. X.; Liu, Q. D.; Xie, Z. S.; Lam, S. C.; Xu, X. J. Food Anal. Method 2015, 8, 1868–1875.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b288bf24-0a53-4617-99e4-08fdc3e7c6b5
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