Fluorescence, electrophoretic and chromatographic fingerprints of herbal medicines and their comparative chemometric analysis

Mazina, Jekaterina; Vaher, Merike; Kuhtinskaja, Maria; Poryvkina, Larisa; Kaljurand, Mihkel

doi:10.1016/j.talanta.2015.02.050

Cited by 36 publications

(22 citation statements)

References 33 publications

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“…Chromatographic ngerprinting can be obtained with various analytical techniques, such as GC, HPLC, high performance thin layer chromatography, and capillary electrophoresis, 19 and it has also been applied to screen herbs such as adulterated and authentic commodities of Pericarpium Citri Reticulatae and Pericarpium Citri Reticulatae Viride, 20 plant origins of Ganoderma lucidum, 21,22 as well as cultivation areas of Angelica acutiloba. 23 In addition, several chemometric methods applied to ngerprinting such as similarity evaluation, hierarchical clustering analysis and principal component analysis make it easier to get more comprehensive and intuitive information.…”

Section: -9mentioning

confidence: 99%

Comparative evaluations on phenolic antioxidants of nine adulterants and anti-inflammation of four alternatives with their original herb Erycibe schmidtii

Xue

Fan

et al. 2017

RSC Adv.

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Erycibe schmidtii is widely used as folk medicine in China for treatments of various inflammations. Recently, with reduction of its wild sources, various adulterants have been misused as substitutes. To distinguish reliable alternatives from various adulterants, total phenolics and antioxidant activities of E. schmidtii and its nine adulterants, as well as three marker compounds of E. schmidtii defined by Chinese Pharmacopoeia were simultaneously quantified. And HPLC fingerprints of these ten herbs were established. Compared with E. schmidtii (S1), Porana sinensis (S2), Porana sinensis var. delavayi (S3), Celastrus hindsii (S4), and Morinda umbellata (S5) exhibited similar or higher total phenols, flavonoids and tannins along with similar or greater capacities scavenging DPPHc, ABTS + c and AAPHc, contained similar or higher total amounts of the three marker compounds, and possessed higher similarities in HPLC profiles. The other five adulterants (S6-S10, i.e., Illigera parviflora, Morinda parvifolia, Piper puberulum, Piper kadsura and Iodes seguini in sequence) were identified as absolute fakes, thus were excluded from alternatives of S1. Further anti-inflammatory experiments with LPS-induced RAW264.7 macrophages cells on NO release and transcriptions of inflammatory factors iNOS, COX-2, IL-6 and IL-1b showed that S2 and S3 possessed higher anti-inflammation activities than and similar mechanisms to those of S1. Taken together, S2 and S3 could be the best potentially alternatives of E. schmidtii among the nine adulterants. S4 and S5 might be also considered as alternatives for they contained similar fundamental compounds and equally impressive anti-inflammatory potential with E. schmidtii concerning iNOS and COX-2.

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Section: -9mentioning

confidence: 99%

Comparative evaluations on phenolic antioxidants of nine adulterants and anti-inflammation of four alternatives with their original herb Erycibe schmidtii

Xue

Fan

et al. 2017

RSC Adv.

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“…Firstly, different compounds, both fluorescent and non-fluorescent, may contribute to the antioxidant activity of juices. Although the main phenolic compound present in apple juices is the fluorescent chlorogenic acid, a wide range of other phenolic compounds (Gliszczyńska-Świgło and Tyrakowska 2003; Kahle et al 2005) with very diverse fluorescence properties (Mazina et al 2015;Wolfbeis et al 1984) was reported in these products. The overall fluorescence of a juice depends not only on the concentrations of the individual fluorescent components but also on their fluorescence quantum yields (Christensen et al 2006).…”

Section: Multivariate Calibration Modelsmentioning

confidence: 99%

“…Various emission properties of the food antioxidants may also pose additional limitations. For example, ascorbic acid is not fluorescent and tocopherols are highly fluorescent, while phenolic compounds have very diverse fluorescence properties (Christensen et al 2006, Mazina et al 2015Wolfbeis et al 1984).…”

Section: Introductionmentioning

confidence: 99%

Screening of Antioxidant Properties of the Apple Juice Using the Front-Face Synchronous Fluorescence and Chemometrics

et al. 2016

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Fluorescence spectroscopy is gaining increasing attention in food analysis due to its higher sensitivity and selectivity as compared to other spectroscopic techniques. Synchronous scanning fluorescence technique is particularly useful in studies of multi-fluorophoric food samples, providing a further improvement of selectivity by reduction in the spectral overlapping and suppressing light-scattering interferences. Presently, we study the feasibility of the prediction of the total phenolics, flavonoids, and antioxidant capacity using front-face synchronous fluorescence spectra of apple juices. Commercial apple juices from different product ranges were studied. Principal component analysis (PCA) applied to the unfolded synchronous fluorescence spectra was used to compare the fluorescence of the entire sample set. The regression analysis was performed using partial least squares (PLS1 and PLS2) methods on the unfolded total synchronous and on the single-offset synchronous fluorescence spectra. The best calibration models for all of the studied parameters were obtained using the PLS1 method for the single-offset synchronous spectra. The models for the prediction of the total flavonoid content had the best performance; the optimal model was obtained for the analysis of the synchronous fluorescence spectra at Δλ = 110 nm (R 2 = 0.870, residual predictive deviation (RPD) = 2.7). The optimal calibration models for the prediction of the total phenolic content (Δλ = 80 nm, R 2 = 0.766, RPD = 2.0) and the total antioxidant capacity (Δλ = 70 nm, R 2 = 0.787, RPD = 2.1) had only an approximate predictive ability. These results demonstrate that synchronous fluorescence could be a useful tool in fast semiquantitative screening for the antioxidant properties of the apple juices.

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“…(U)HPLC coupled with mass-spectrometer is now standard instrumentation for such applications [7][8][9][10][11][12], with lesser number of works considering GC-MS [13,14], NMR [15,16], IR [17][18][19], and other analytical techniques (e.g. electronic nose [14], electrophoresis [12,18,20]).…”

Section: Introductionmentioning

confidence: 99%

“…PLS-DA returns predictive model such as quality A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT [8,15] site of growth [17]/effectiveness assessment on base of constituents or for species discrimination [24]. PCA seeks for so called features, presented in case of LC/GC by peaks of components or their linear combinations, accounting for biggest differences in raw materials quality [7,17,25], plant material from different vendors [12]/growth sites [18, 26,27] and differences between species [20,24]. Also, PCA is used as a convenient tool for data dimensionality reduction.…”

Section: Introductionmentioning

confidence: 99%

Machine learning for LC–MS medicinal plants identification

Nazarenko

Kharyuk

Oseledets

et al. 2016

Chemometrics and Intelligent Laboratory Systems

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Fluorescence, electrophoretic and chromatographic fingerprints of herbal medicines and their comparative chemometric analysis

Cited by 36 publications

References 33 publications

Comparative evaluations on phenolic antioxidants of nine adulterants and anti-inflammation of four alternatives with their original herb Erycibe schmidtii

Comparative evaluations on phenolic antioxidants of nine adulterants and anti-inflammation of four alternatives with their original herb Erycibe schmidtii

Screening of Antioxidant Properties of the Apple Juice Using the Front-Face Synchronous Fluorescence and Chemometrics

Machine learning for LC–MS medicinal plants identification

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