Quality control and original discrimination of Ganoderma lucidum based on high-performance liquid chromatographic fingerprints and combined chemometrics methods

Chen, Yi; Zhu, Shang-Bin; Xie, Mingyong; Nie, Shaoping; Liu, Wei; Li, Chang; Gong, Xiaofeng; Wang, Yuanxing

doi:10.1016/j.aca.2008.06.018

Cited by 172 publications

(115 citation statements)

References 35 publications

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“…According to the similarity analyses conducted on the HPLC CFs of traditional Chinese medicines from a variety of different sources [22], the p-t curves of S. dysenteriae affected by the different concentrations of the R. coptidis of different sources could be evaluated based on their similarities. The similarities of the p-t curves were calculated using the vector angle cosine model [23].…”

Section: Microcalorimetry Assaymentioning

confidence: 99%

A quality evaluation strategy for Rhizoma coptidis from a variety of different sources using chromatographic fingerprinting combined with biological fingerprinting

Yan

Xiong

et al. 2013

Chin. Sci. Bull.

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Most of herbal medicines of different sources are used for the same treatment goal in clinic despite their tremendous differences of the quality. Because the clinical efficacy is closely related to the quality of medicines, the implementation of an effective quality control (QC) process is vital. Chemical methods based on content determination and chromatographic fingerprints (CFs) have been recommended as powerful tools. In spite of advances in QC, it is still difficult to determine that which of the chemical compositions can best reflect the correlation with the desired biological activity. Herein, we have focused on the biological activities of multi-source herbal medicines to establish an analytical method. By looking for correlations between the biological activities and their chemical compositions, the method can identify reasonable chemical indicators or chemical methods with biological activity information. In this study, high-performance liquid chromatography (HPLC) and microcalorimetry are combined as a useful method for evaluating the quality of Rhizoma coptidis from different sources. The results of biological fingerprints (BFs) showed that the antibacterial activity sequence of R. coptidis of different sources was Coptis teeta Wall. (CT)>Coptis chinensis Franch. (CC)>Coptis deltoidea C.Y. Cheng et Hsiao (CD). The "spectrum-activity" relationships between CFs and BFs were investigated using the canonical correlation analysis (CCA). Compared with the CCA result of CFs and BFs, the canonical correlation coefficient r 1 and r 2 were 0.9974 and 0.9752, respectively. It revealed that there are a close correlation between the spectrum-activity relationships and several of the major anti-bacterial components in the CFs, including jatrorrhizine, coptisine, palmatine, and berberine. Of course, R. coptidis was only a representative of multisource medical plants. The result of the current study will provide an effective reference for evaluating the quality of multisource herbal medicines.Rhizoma coptidis, multi-source medical plants, quality control, chromatographic fingerprint, biological fingerprint Citation:Li J X, Yan D, Ma L N, et al. A quality evaluation strategy for Rhizoma coptidis from a variety of different sources using chromatographic fingerprinting combined with biological fingerprinting.

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Section: Microcalorimetry Assaymentioning

confidence: 99%

A quality evaluation strategy for Rhizoma coptidis from a variety of different sources using chromatographic fingerprinting combined with biological fingerprinting

Yan

Xiong

et al. 2013

Chin. Sci. Bull.

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“…Toxicities were rarely reported, and the safe usage has been convinced by scientific www.intechopen.com evidence and history (Mizuno et al, 1995). Several Lingzhi products have already been well characterized by fingerprinting and genotyping techniques for authentication and quality control (Chen et al, 2008a(Chen et al, , 2008b. The above conditions explicitly supported the clinical trials at phase I and II.…”

Section: The Transition Of Herbs Into Pure Chemicalsmentioning

confidence: 70%

“…The quality of herbs may vary due to the cultivation conditions, breeds and places of origin, for examples, liquid chromatographic coupled with multistage mass spectrometry (HPLC-MS) technique has revealed there to be non-stable and inconsistence of chemical constituents amongst different batches of Lingzhi samples (Chen et al, 2008a). In this regard, the research team (Chen et al, 2008b) has demonstrated the feasibility of employing multiple statistical analyses of HPLC fingerprints of Lingzhi to discriminate samples in accordance of origin of cultivation (Chen et al, 2008b). For fingerprinting the complicated decoctions, multi-herb botanical drug products, multiple chromatographic fingerprinting was suggested, in order to capture the complete picture of chemical profile (Fan et al, 2006).…”

Section: Authentication Of Herbal Identity and Quality Control Of Ingmentioning

confidence: 99%

Traditional Chinese Herbal Medicine – East Meets West in Validation and Therapeutic Application

Yuen¹,

Tse²,

Yung³

2012

Recent Advances in Theories and Practice of Chinese Medicine

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“…Tools such as principal component analysis, soft independent modeling of class analogy, partial least-squares discriminant analysis (PLS-DA), linear discriminant analysis, and artificial neural networks all allow differentiation and group prediction [26,27,34,35,39,[44][45][46]. Using these tools, difficult and complex analyses of large amounts of data can be more easily graphed and visualized.…”

Section: Introductionmentioning

confidence: 99%

High-resolution time-of-flight mass spectrometry fingerprinting of metabolites from cecum and distal colon contents of rats fed resistant starch

Anderson

Jones

et al. 2013

Anal Bioanal Chem

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Time-of-flight mass spectrometry along with statistical analysis was utilized to study metabolic profiles among rats fed resistant starch (RS) diets. Fischer 344 rats were fed four starch diets consisting of 55 % (w/w, dbs) starch. A control starch diet consisting of corn starch was compared against three RS diets. The RS diets were high-amylose corn starch (HA7), HA7 chemically modified with octenyl succinic anhydride, and stearic-acidcomplexed HA7 starch. A subgroup received antibiotic treatment to determine if perturbations in the gut microbiome were long lasting. A second subgroup was treated with azoxymethane (AOM), a carcinogen. At the end of the 8-week study, cecal and distal colon content samples were collected from the sacrificed rats. Metabolites were extracted from cecal and distal colon samples into acetonitrile. The extracts were then analyzed on an accurate-mass time-of-flight mass spectrometer to obtain their metabolic profile. The data were analyzed using partial least-squares discriminant analysis (PLS-DA). The PLS-DA analysis utilized a training set and verification set to classify samples within diet and treatment groups. PLS-DA could reliably differentiate the diet treatments for both cecal and distal colon samples. The PLS-DA analyses of the antibiotic and no antibiotic-treated subgroups were well classified for cecal samples and modestly separated for distal colon samples. PLS-DA analysis had limited success separating distal colon samples for rats given AOM from those not treated; the cecal samples from AOM had very poor classification. Mass spectrometry profiling coupled with PLS-DA can readily classify metabolite differences among rats given RS diets. Abstract: Time-of-flight mass spectrometry along with statistical analysis was utilized to study metabolic profiles among rats fed resistant starch (RS) diets. Fischer 344 rats were fed four starch diets consisting of 55% (w/w, dsb) starch. A control starch diet consisting of corn starch was compared against three RS diets. The RS diets were high-amylose corn starch (HA7), HA7 chemically modified with octenyl succinic anhydride, and stearic-acid-complexed HA7 starch. A subgroup received antibiotic treatment to determine if perturbations in the gut microbiome were long lasting. A second subgroup was treated with azoxymethane (AOM), a carcinogen. At the end of the 8-week study, cecal and distal colon contents samples were collected from the sacrificed rats. Metabolites were extracted from cecal and distal colon samples into acetonitrile. The extracts were then analyzed on an accurate-mass time-of-flight mass spectrometer to obtain their metabolic profile. The data were analyzed using partial least-squares discriminant analysis (PLS-DA). The PLS-DA analysis utilized a training set and verification set to classify samples within diet and treatment groups. PLS-DA could reliably differentiate the diet treatments for both cecal and distal colon samples. The PLS-DA analyses of the antibiotic and no antibiotictreated subgroups were well cla...

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Quality control and original discrimination of Ganoderma lucidum based on high-performance liquid chromatographic fingerprints and combined chemometrics methods

Cited by 172 publications

References 35 publications

A quality evaluation strategy for Rhizoma coptidis from a variety of different sources using chromatographic fingerprinting combined with biological fingerprinting

A quality evaluation strategy for Rhizoma coptidis from a variety of different sources using chromatographic fingerprinting combined with biological fingerprinting

Traditional Chinese Herbal Medicine – East Meets West in Validation and Therapeutic Application

High-resolution time-of-flight mass spectrometry fingerprinting of metabolites from cecum and distal colon contents of rats fed resistant starch

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