Exploring bitterness of traditional Chinese medicine samples by potentiometric electronic tongue and by capillary electrophoresis and liquid chromatography coupled to UV detection

Yaroshenko, Irina; Kirsanov, Dmitry; Карцова, Л. А.; Sidorova, A. A.; Sun, Qiyong; Wan, Haitong; Wang, Ping; Legin, Andrey

doi:10.1016/j.talanta.2016.01.058

Cited by 19 publications

(11 citation statements)

References 39 publications

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“…More and more scientific technologies such as spectroscopy technology [13][14][15], high-throughput technology [16,17], data mining [18,19], and big data [20,21] have been widely used in macroanalysis and microanalysis of TCMs, which provide us with a great deal of information. As far as quantitative comparison of drug properties is concerned, it is vital to select suitable characterization indexes of medicinal properties from numerous information.…”

Section: Characterization Indexes Of Chinese Medicinalmentioning

confidence: 99%

Quantification of “Cold-Hot” Medicinal Properties of Chinese Medicines Based on Primary Metabolites and Fisher’s Analysis

Wang

Cao

Tian

et al. 2022

Computational and Mathematical Methods in Medicine

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Background. Chinese medicinal properties (CMP) are an important part of the basic theory of traditional Chinese medicines (TCMs). Quantitative research on the properties of TCMs is of great significance to deepen the understanding and application of the theory of drug properties and promoting the modernization of TCMs. However, these studies are limited to strong subjectivity or distinguish different drug properties based on certain indicators since CMP studies are diverse. Objective. To realize quantitative comparison of same medicinal properties of different Chinese medicines. Method. To solve the above problem, we proposed and explored quantification of Chinese medicinal properties (QMP) and the quantification value of medicinal properties “ R ”. The correlation between primary metabolites and “cold-hot” medicinal properties was explored on the premise of material basis of Chinese herbal medicines and Fisher’s analysis. Based on indicators related to “cold-hot” medicinal properties, we utilized quantitative values “ R ” to characterize the strength or weakness of “cold-hot” medicinal properties. Results. According to QMP, the same medicinal properties were quantified and compared by quantification value of medicinal properties that expressed by alphabet “ R ”. The general theoretical formula of “ R ” deduced is R = l × cos θ / L = ∑ i = 1 n j i p i / ∑ i = 1 n p i 2 , in which n ≥ 1 . In the light of formula of “ R ” and indicators related to “cold-hot” medicinal properties, we got “ R ” value of “cold-cool” and “warm-hot” medicinal properties. “ R ” values of “cold-cool” medicinal properties of Phellodendri chinensis cortex, Coptidis rhizoma, and Menthae haplocalycis herba were 0.63, 1.00, and 0.49, respectively. The result showed that Coptidis rhizoma is the most “cold-cool”, followed by Phellodendri chinensis cortex, with Menthae haplocalycis herba is the weakest in the three Chinese medicines, consistent with cognition of TCM theory. Conclusion. QMP has certain guiding significance for the quantification of “cold and hot” drug properties. “ R ” is feasible to realize the quantitative comparison of the same drug properties of different traditional Chinese medicine, which is helpful to promote process of modern Chinese medicine construction.

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Section: Characterization Indexes Of Chinese Medicinalmentioning

confidence: 99%

Quantification of “Cold-Hot” Medicinal Properties of Chinese Medicines Based on Primary Metabolites and Fisher’s Analysis

Wang

Cao

Tian

et al. 2022

Computational and Mathematical Methods in Medicine

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“…Yaroshenko [27] evaluated bitterness of eight various herbal medicine samples via three different approaches involving high-performance liquid chromatography coupled to UV detector, capillary electrophoresis coupled to UV detector and a potentiometric multisensor system – electronic tongue employing PLS regression and it was demonstrated that all three methods were able to be applied for quantitative assessment of bitterness in TCM with reasonable precision. Lin [28] constructed Robust Partial Least Squares (RPLS) model to evaluate the bitterness of a total of 35 TCM detoctions using an e-Tongue and that showed RPLS are capable of quantitatively characterizing bitterness.…”

Section: Resultsmentioning

confidence: 99%

Bitterness and antibacterial activities of constituents from Evodia rutaecarpa

Liang

Li²,

et al. 2017

BMC Complement Altern Med

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BackgroundBitter herbs are important in Traditional Chinese Medicine and the Electronic Tongue (e-Tongue) is an instrument that can be trained to evaluate bitterness of bitter herbs and their constituents. The aim of this research was to evaluate bitterness of limonoids and alkaloids from Evodia rutaecarpa to demonstrate that they are main bitter material basic of E. rutaecarpa.MethodsNine compounds, including limonoids, indoloquinazoline alkaloids and quinolone alkaloids, were isolated, identified and analyzed by the e-Tongue. Additionally, the antibacterial activities of the nine compounds were evaluated against E. coli and S. aureus.ResultsAll the nine compounds had bitter taste and antibacterial activities to some extent. Among them, limonoids, which were the bitterest compounds, had greater antibacterial activities than alkaloids. And there is a positive correlation between bitter taste and antibacterial activities.ConclusionsIt was confirmed in our study that limonoids, indoloquinazoline alkaloids and quinolone alkaloids are main bitter material basic of E. rutaecarpa based on two evaluation methods of e-Tongue and antibacterial experiment. In addition, the e-Tongue technique is a suitable new method to measure bitter degree in herbs.Electronic supplementary materialThe online version of this article (doi:10.1186/s12906-017-1701-8) contains supplementary material, which is available to authorized users.

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“…The multisensor system consisted of 17 chemical sensors. The details on the sensors and the experimental procedures can be found in ref 35 The raw data are available in the Supporting Information. This data set has dimensions of 33 × 17.…”

Section: ■ Experimental Sectionmentioning

confidence: 99%

Analytical Figures of Merit for Multisensor Arrays

Parastar

Kirsanov

2020

ACS Sens.

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Multisensor arrays employing various sensing principles are a rapidly developing field of research as they allow simple and inexpensive quantification of various parameters in complex samples. Quantitative analysis with such systems is based on multivariate regression techniques, and deriving of traditional analytical figures of merit (e.g., sensitivity, selectivity, limit of detection, and limit of quantitation) for such systems is not obvious and straightforward. Nevertheless, it is absolutely needed for further development of the multisensor research field and for introducing these instruments into the general context of analytical chemistry. Here, we report on the protocol for calculation of sensitivity, selectivity, and detection limits for multisensor arrays. The results are provided and discussed in detail for several realworld data sets.

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Exploring bitterness of traditional Chinese medicine samples by potentiometric electronic tongue and by capillary electrophoresis and liquid chromatography coupled to UV detection

Cited by 19 publications

References 39 publications

Quantification of “Cold-Hot” Medicinal Properties of Chinese Medicines Based on Primary Metabolites and Fisher’s Analysis

Quantification of “Cold-Hot” Medicinal Properties of Chinese Medicines Based on Primary Metabolites and Fisher’s Analysis

Bitterness and antibacterial activities of constituents from Evodia rutaecarpa

Analytical Figures of Merit for Multisensor Arrays

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