scholarly journals Development of a Chromatographic Fingerprint for the Quality Control of Mallotus apelta by Using HPLC-DAD-FLD-ELSD with Malloapelta B as Marker Compound

2016 ◽  
Vol 4 (5) ◽  
Author(s):  
Tu VA ◽  
Cuong NX ◽  
Thanh NV ◽  
Dimitrov V ◽  
Nguyen NH
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Qingdong Ma ◽  
Xiaoxiang Chen ◽  
Ke Zhang ◽  
Dahong Yao ◽  
Lu Yang ◽  
...  

The quality control of Saussurea involucrata has been greatly improved by macroscopic and microscopic identification and chemical profiling described in Chinese Pharmacopoeia since 2005. However, these methods have their own limitations, e.g., their dependence on personal experience and expertise, and it is a huge challenge to identify closely related species that share similar or identical morphological characteristics and chemical profiles. A novel and generally accepted identification strategy is urgently needed as a complement to regulations for protecting the public health interests. In this work, a comprehensive chromatographic fingerprint method was developed and tested on 43 samples from four haplotypes of S. involucrata according to DNA barcoding. Three common patterns consisting of 20, 14, and 7 common peaks were generated by frequency filters of median, upper quartile, and 100%, respectively. Based on two formerly screened patterns, S. involucrata can be effectively identified from its five easily confused snow lotus species, including the most closely related plant (S. orgaadayi) in the orthogonal partial least-squares discriminant analysis (OPLS-DA) models. The model is supported by good R and Q coefficients. In addition, different haplotypes of S. involucrata can be discriminated in the OPLS-DA model using the 20 common peaks. Among them, peaks 9, 11, 16 (zaluzanin C), and 18 (dehydrocostus lactone) have been identified as fingerprint markers of S. involucrata via S-plots and VIP values (>1). Additionally, peaks 19 and 20 were identified as linolenic acid and linoleic acid with anti-inflammatory activity, and they were isolated from the herb for the first time. Collectively, the chromatographic fingerprint of S. involucrata can be an effective and integrated method for the identification of authentic herbs from adulterant species or related plants, and discrimination of its different haplotypes provides an objective and reliable tool for quality control.


Author(s):  
Navjot Kaur ◽  
Raghbir Chand Gupta

  Objective: The objective of this study was to quantify the luteolin content present in the extracts from different aerial plants (leaves, stem, and inflorescence) of Heteropogon contortus through high-performance thin-layer chromatography.Methods: The chromatographic fingerprint analysis of the different plant extracts has been developed using optimized mobile phase toluene: ethyl acetate: formic acid (5:5:0.7 v/v) and the developed plate is derivatized with freshly prepared anisaldehyde-sulfuric acid. Then, the plate is heated at 110–120°C. The plate is scanned for densitometry measurements and to record the overlay spectra at 366 nm absorbance/reflectance wavelength. Quantification of luteolin marker compound in different extracts of H. contortus is estimated using 2–12 ng/spot.Results: The yellow colored bands appearing on the chromatogram confirm the presence of luteolin marker compound in the different plant samples of H. contortus. Further, the presence of the luteolin marker is confirmed by comparing the Rf values (0.21) of the standard and the samples and from densitometry measurements by scanning the plate at 366 nm absorbance/reflectance. Line-to-line overlay spectra are obtained.Conclusion: From this, it is concluded that leaf sample of H. contortus contains maximum amount of luteolin, i.e., 37.13 ± 0.11 mg/g of dry wt. than inflorescence (1.60 ± 0.013 mg/g of dry wt.) and stem (0.53 ± 0.014 mg/g of dry wt.). The leaves are good source of luteolin and can be used as an alternate natural source to synthesize herbal drugs to cure cancer, hypertension, and inflammatory diseases. 


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Ping Zhan ◽  
Honglei Tian ◽  
Baoguo Sun ◽  
Yuyu Zhang ◽  
Haitao Chen

A method for chromatographic fingerprinting of flavor was established for the quality control of mutton. Twenty-five mutton samples that were chosen from twelve batches were investigated by gas chromatography-mass spectroscopy (GC-MS) and gas chromatography-olfactometry (GC-O). Spectral correlative chromatograms combined with GC-O assessment were employed, and 32 common odor-active compounds that characterize mutton flavor fingerprint were obtained. Based on the flavor chromatographic fingerprint data, principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were designed and employed as chromatographic fingerprint methods. Defined categories were perfectly discriminated after PLS-DA was conducted on the fused matrix, demonstrating a 100% accurate classification. Fourteen constituents were further screened with PLS-DA to be the main chemical markers, and they were used to develop similar approaches for the determination of mutton quality and traceability. The flavor fingerprint of mutton established using SPME-GC-MS/O coupled with PLS-DA is appropriate for differentiating and identifying samples, and the procedure would be used in quality control.


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