Abstract
Lonicera japonica Thunb., Caprifoliaceae, has been employed in traditional Chinese medicine for thousands of years. However, it is frequently confused with closely related species, and thus, a mixture of these species is commonly used. The sources of Lonicera species must be accurately and rapidly determined to ensure the clinical efficacy of herbal medicines. Attenuated total reflectance Fourier transform infrared spectroscopy and high-performance liquid chromatography with a diode array detector, combined with chemometrics methods, were used to comprehensively evaluate the Lonicera quality. The infrared fingerprint results indicated that the spectra of L. japonica and its related species were very similar in the range 4000–1800 cm−1, however a large number of chemical absorption peaks were observed in the region 1800–600 cm−1−1 with certain differences. The five Lonicera species had high chlorogenic acid (25.85–67.75 μg/mg), 3,5-di-O-caffeoylquinic acid (11.63–62.58 μg/mg), and 4,5-di-O-caffeoylquinic acid (2.64–30.91 μg/mg) contents. The chemical fingerprints of L. hypoglauca Miq. and L. confusa DC were the most similar to that of L. japonica Thunb. The chemical fingerprints of L. fulvotomentosa P.S. Hsu & S.C. Cheng and L. macranthoides Hands.-Mazz. were very different from that of L. japonica. A loading analysis indicated that the differences in the chemical fingerprints of the Lonicera species were mainly due to variations in the contents of the organic acids and flavonoids. Soft independent modeling of class analogy model was successfully developed to classify unknown samples of the five Lonicera species. This comprehensive, unbiased strategy provides adequate, reliable scientific evidence for authenticating herbal sources, therefore offering a powerful, new route for herbal analysis.
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Abdi, H., Williams, L.J., 2010. Principal component analysis. Wiley Interdiscip. Rev. Comput. Statist. 2, 433–445.
Aouidi, F., Dupuy, N., Artaud, J., Roussos, S., Msallem, M., Gaime, I.P., Hamdi, M., 2012. Rapid quantitative determination of oleuropein in olive leaves (Olea europaea) using mid-infrared spectroscopy combined with chemometric analyses. Ind. Crop. Prod. 37, 292–297.
Bajpai, V., Kumar, S., Singh, A., Singh, J., Negi, M.P.S., Bag, S.K., Kumar, N., Konwar, R., Kumar, B., 2017. Chemometric based identification and validation of specific chemical markers for geographical, seasonal and gender variations in Tinospora cordifolia stem using HPLC-ESI-QTOF-MS analysis. Phytochem. Anal. 28, 277–288.
Beebe, K.R., Pell, R.J., Deascholtz, M.B., 1998. Chemometrics: A Practical Guide. Wiley, New York.
Buchgraber, M., Ulberth, F., Anklam, E., 2004. Cluster analysis for the systematic grouping of genuine cocoa butter and cocoa butter equivalent samples based on triglyceride patterns. J. Agric. Food Chem. 52, 3855–3860.
Bureau, S., Ruiz, D., Reich, M., Gouble, B., Bertrand, D., Audergon, J.M., Renard, C.M.G.C., 2009. Application of ATR-FTIR for a rapid and simultaneous determination of sugars and organic acids in apricot fruit. Food Chem. 115, 1133–1140.
Chen, C.Y., Qi, L.W., Li, H.J., Li, P., Yi, L., Ma, H.L., Tan, D., 2007. Simultaneous determination of iridoids, phenolic acids, flavonoids, and saponins in Flos Lonicerae and Flos Lonicerae Japonicae by HPLC-DAD-ELSD coupled with principal component analysis. J. Sep. Sci. 30, 3181–3192.
China Pharmacopoeia Commission, 2015a. Pharmacopoeia of the People’s Republic of China 2015, 1. Chinese Medical Science and Technology Press, Beijing, pp. 30.
China Pharmacopoeia Commission, 2015b. Pharmacopoeia of the People’s Republic of China 2015, 1. Chinese Medical Science and Technology Press, Beijing, pp. 221.
Custers, D., Cauwenbergh, T., Bothy, J.L., Courselle, P., De Beer, J.O., Apers, S., Econinck, E.D., 2014. ATR-FTIR spectroscopy and chemometrics: an interesting tool to discriminate and characterize counterfeit medicines. J. Pharmaceut. Biomed. 112, 181–189.
Deconinck, E., Canfyn, M., SacréP, Y., Baudewyns, S., Courselle, P., De Beer, J.O., 2012. A validated GC-MS method for the determination and quantification of residual solvents in counterfeit tablets and capsules. J. Pharm. Biomed. Anal. 70, 64–70.
Demir, P., Onde, S., Severcan, F., 2015. Phylogeny of cultivated and wild wheat species using ATR-FTIR spectroscopy. Spectrochim. Acta A 135, 757–763.
Edelmann, A., Diewock, J., Schuster, K.C., Lendl, B., 2001. Rapid method for the discrimination of red wine cultivars based on mid-infrared spectroscopy of phenolic wine extracts. J. Agric. Food Chem. 49, 1139–1145.
Gao, W., Wang, R., Li, D., Li, K., Chen, J., Li, H.J., Xu, X.J., Li, P., Yang, H., 2016. Comparison of five Lonicera flowers by simultaneous determination of multi-components with single reference standard method and principal component analysis. J. Pharmaceut. Biomed. 117, 345–351.
Gao, W., Yang, H., Qi, L.W., Liu, E.H., Ren, M.T., Yan, Y.T., Chen, J., Li, P., 2012. Unbiased metabolite profiling by liquid chromatography–quadrupole time-of-flight mass spectrometry and multivariate data analysis for herbal authentication: classification of seven Lonicera species flower buds. J. Chromatogr. A 1245, 109–116.
Gemperline, P., 2006. Practical Guide to Chemometrics. Talor & Francis, New York.
Gok, S., Severcan, M., Goormaghtigh Erik, C., Kandemir, I., Severcan, F., 2015. Differentiation of Anatolian honey samples from different botanical origins by ATR-FTIR spectroscopy using multivariate analysis. Food Chem. 170, 234–240.
Hu, S.Q., Dong, G.L., Chen, X.M., Huang, L.L., Yang, X., Tong, W., 2011. ITS sequencebased identification and utilization evaluation of “Nanjiang” (Lonicera similis Hemsl.), a local cultivar in Sichuan, China. Genet. Resour. Crop. Evol. 59, 547–555.
Kim, S., Kim, K.Y., Han, C.S., Ki, K.S., Min, K.J., Zhang, X., Wang, W.K., 2012. Simultaneous analysis of six major compounds in Osterici radix and Notopterygii Rhizoma et Radix by HPLC and discrimination of their origins from chemical fingerprint analysis. J. Sep. Sci. 35, 691–699.
Kong, D.X., Li, Y.Q., Ba, M., He, H.J., Liang, G.X., Wu, H., 2017. Correlation between the dynamic accumulation of the main effective components and their associated regulatory enzyme activities at different growth stages in Lonicera japonica Thunb. Ind. Crop. Prod. 96, 16–22.
Li, D.N., Meng, X.J., Li, B., 2016. Profiling of anthocyanins from blueberries produced in China using HPLC-DAD-MS and exploratory analysis by principal component analysis. J. Food Compos. Anal. 47, 1–7.
Li, Q., Yu, L.J., Deng, Y., 2007. Leaf epidermal characters of Lonicera japonica and Lonicera confusa and their ecology adaptation. J. Forest. Res. 18, 103–108.
Li, Y.Q., Kong, D.X., Wu, H., 2013. Analysis and evaluation of essential oil components of cinnamon barks using GC-MS and FT-IR spectroscopy. Ind. Crop. Prod. 41, 269–278.
Liu, J., Chen, X., Yang, W., Liu, W., Jiang, T., 2010. Study on establishment of RP-HPLC and GC–MS fingerprints for wild germplasm resource of Ophiopogon japonicus in Sichuan and hierarchical clustering analysis. J. Chin. Med. Mater. 35, 2726–2730.
Massart, D.L., Vaneginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J., Smeyers-Verbeke, J.J., 2007. Handbook of Chemometrics and Qualimetrics: Part A. Elsevier, Amsterdam.
Park, S.C., Lee, S.J., NamKung, H., Chung, H., Han, S.H., Yoon, M.Y., Park, J.J., Lee, J.H., Oh, C.H., Woo, Y.A., 2007. Feasibility study for diagnosis of stomach adenoma and cancer using IR spectroscopy. Vib. Spectrosc. 44, 279–285.
Peng, X.X., Li, W.D., Wang, W.Q., Bai, G.B., 2009. Identification of Lonicera japonica by PCR-RFLP and allele-specific diagnostic PCR based on sequences of internal transcribed spacer regions. Planta Med. 75, 1–3.
Pu, Z.M., Xing, J.B., Li, P., Liu, T., Wang, Z.H., 2002. Study on floral morphology of Flos Lonicerae. Chin. Tradit. Herb. Drugs 25, 854–859.
Seo, O.N., Kim, G.S., Park, S., Lee, J.H., Kim, Y.H., Lee, W.S., Lee, S.J., Kim, C.Y., Jin, J.S., Choi, S.K., Shin, S.C., 2012. Determination of polyphenol components of Lonicera japonica Thunb. using liquid chromatography-tandem mass spectrometry: contribution to the overall antioxidant activity. Food Chem. 134, 572–577.
Shang, X.F., Pan, H., Li, M.X., Miao, X.L., Ding, H., 2011. Lonicera japonica Thunb.: ethnopharmacology, phytochemistry and pharmacology of an important traditional Chinese medicine. J. Ethnopharmacol. 138, 1–21.
Su, S., Hua, Y., Duan, J.A., Shang, E., Tang, Y., Bao, X., Lu, Y., Ding, A., 2008. Hypothesis of active components in volatile oil from a Chinese herb formulation ‘Shao-Fu-Zhu-Yu decoction’, using GC-MS and chemometrics. J. Sep. Sci. 31, 1085–1091.
Sun, S.Q., Zhou, Q., Chen, J.B., 2010. Analysis of Traditional Chinese Medicine by Infrared Spectroscopy. Chemical Industry Press, Beijing, pp. 23–25.
Sun, Z.Y., Gao, T., Yao, H., Shi, L.C., Zhu, Y.Z., Chen, S.L., 2011. Identification of Lonicera japonica and its related species using the DNA barcoding method. Planta Med. 77, 301–306.
Tistaert, C., Dejaegher, B., Nguyen Hoai, N., Chataigné, G., Rivière, C., Nguyen, T.H., Chau, V.M., Quetin-Leclercq, J., Vander Heyden, Y., 2009. Potential antioxidant compounds in Mallotus species fingerprints Part I: indication, using linear multivariate calibration techniques. Anal. Chim. Acta 652, 189–197.
Wang, C.Z., Li, P., Ding, J.Y., Fishbein, A., Yunb, C.S., 2007. Discrimination of Lonicera japonica Thunb. from different geographical origins using restriction fragment length polymorphism analysis. Biol. Pharm. Bull. 30, 779–782.
Wang, Q.X., Quan, Q.M., Zhou, X.L., Zhu, Y.G., Lan, Y.L., Li, S., Yu, Y., Cheng, Z.A., 2014. Comparative study of Lonicera japonica with related species: morphological characteristics ITS sequences and active compounds. Biochem. Syst. Ecol. 54, 198–207.
Wang, X., Sheng, D.P., Zhu, Z.J., Xu, F.C., Huang, D., Yu, C.J., 2015. Identification of Cortex Eucommiae from different producing areas by FTIR microspectroscopy. Spectrochim. Acta A 141, 94–98.
Wold, S., 1976. Pattern recognition by means of disjoint principal components models. Pattern Recogn. 8, 127–139.
Wu, Y.W., Sun, S.Q., Zhou, Q., Leung, H.W., 2008. Fourier transform mid-infrared (MIR) and near-infrared (NIR) spectroscopy for rapid quality assessment of Chinese medicine preparation Honghua Oil. J. Pharmaceut. Biomed. 46, 498–504.
Xu, B.S., Hu, J.Q., Wang, H.J., 1988. Flora of China, 72. Science Press, Beijing, pp. 143–259.
Yuan, Y., Song, L.P., Li, M.H., Liu, G.M., Chu, Y.N., Ma, L.Y., 2012. Genetic variation and metabolic pathway intricacy govern the active compound content and quality of the Chinese medicinal plant Lonicera japonica Thunb. BMC Genomics 13, 1–17.
Zhu, Y., Xu, C.H., Huang, J., Li, G.Y., Liu, X.H., Sun, S.Q., Wang, J.H., 2014. Rapid discrimination of cultivated Codonopsis lanceolata in different ages by FT-IR and 2DCOS-IR. J. Mol. Struct. 1069, 272–279.
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HW and YQL conceived and designed the experiments; YQL and DXK performed the experiments; and HW and YQL analyzed the data and wrote the paper.
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Li, Y., Kong, D. & Wu, H. Comprehensive chemical analysis of the flower buds of five Lonicera species by ATR-FTIR, HPLC-DAD, and chemometric methods. Rev. Bras. Farmacogn. 28, 533–541 (2018). https://doi.org/10.1016/j.bjp.2018.06.007
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DOI: https://doi.org/10.1016/j.bjp.2018.06.007