scholarly journals Chemical profiling and total quality assessment of Isodon japonica using data-independent acquisition mode combined with superimposed multiple product ion UHPLC-Q-TOF-MS and chemometric analysis

RSC Advances ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 1403-1418 ◽  
Author(s):  
Yiran Jin ◽  
Tingting Tian ◽  
Yinghua Ma ◽  
Ludan Hou ◽  
Shuai Guan ◽  
...  

In this paper, a combined analytical strategy was developed and aimed at rapid characterization and quantitation of ent-kaurane diterpenoids in Isodon japonica using UPLC-Q-TOF-MS/MS.

Molecules ◽  
2021 ◽  
Vol 26 (18) ◽  
pp. 5456
Author(s):  
Saiyu Li ◽  
Yiwen Zhang ◽  
Panpan Yang ◽  
Minghui Tong ◽  
Luwen Xing ◽  
...  

Garden-cultivated Ginseng (GG) and mountain-cultivated Ginseng (MG) both belong to Panax Ginseng C. A. Meyer. However, the effective substances which can be used to distinguish GG from MG remain obscure. Therefore, the purpose of this study was to screen for discriminating markers that can assist in the correct identification of GG and MG. HPLC Q-TOF/MS and various chemometrics methods were used to analyze the chemical profiles of 13 batches of Ginseng and to explore the characteristic constituents of both GG and MG. The hepatocyte-protecting effects of GG and MG were investigated through a paclitaxel-induced liver injury model. Through a combination of correlation analysis and bioinformatic techniques, markers for differentiation between GG and MG were ascertained. A total of 40 and 41 compounds were identified in GG and MG, respectively, and 15 characteristic ingredients contributed significantly to the discrimination of GG from MG. Correlation analysis and network pharmacology were applied and ginsenosides Rg1, Re, Rb1, Rc, Rb2, and Rg3 were found to be discriminating markers of GG and MG. Six markers for the identification of GG and MG were screened out by a step-wise mutually oriented “chemical profiling–pharmaceutical effect” correlation strategy, which is of great significance for future quality assessment of Ginseng products.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Leyla A. Erozenci ◽  
Sander R. Piersma ◽  
Thang V. Pham ◽  
Irene V. Bijnsdorp ◽  
Connie R. Jimenez

AbstractThe protein content of urinary extracellular vesicles (EVs) is considered to be an attractive non-invasive biomarker source. However, little is known about the consistency and variability of urinary EV proteins within and between individuals over a longer time-period. Here, we evaluated the stability of the urinary EV proteomes of 8 healthy individuals at 9 timepoints over 6 months using data-independent-acquisition mass spectrometry. The 1802 identified proteins had a high correlation amongst all samples, with 40% of the proteome detected in every sample and 90% detected in more than 1 individual at all timepoints. Unsupervised analysis of top 10% most variable proteins yielded person-specific profiles. The core EV-protein-interaction network of 516 proteins detected in all measured samples revealed sub-clusters involved in the biological processes of G-protein signaling, cytoskeletal transport, cellular energy metabolism and immunity. Furthermore, gender-specific expression patterns were detected in the urinary EV proteome. Our findings indicate that the urinary EV proteome is stable in longitudinal samples of healthy subjects over a prolonged time-period, further underscoring its potential for reliable non-invasive diagnostic/prognostic biomarkers.


2016 ◽  
Vol 8 (23) ◽  
pp. 4689-4710 ◽  
Author(s):  
Yuan Liu ◽  
Gongjun Yang ◽  
Fang Feng

An effective strategy using LC-DAD-TOF/MS and LC-MS/MS based chemometrics for identification and difference analysis of herb formulae is proposed.


2019 ◽  
Vol 58 (2) ◽  
pp. 136-143 ◽  
Author(s):  
Wen Rui ◽  
Wanxia Xia ◽  
Wei Zhao ◽  
Bingling Li ◽  
Jian Li ◽  
...  

Abstract The differential constituents in leaves, stems and roots of Polygonum multiflorum Thunb. were analyzed by ultra-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC/ESI-Q-TOF-MS) and by multivariate statistical analysis. The established extraction and analysis method showed relative standard deviations (RSDs) for intra-day precision of less than 3.40%, for repeatability of less than 4.06% and for stability of less than 5.10%. Principal component analysis and orthogonal projections to latent structures discriminant analysis of the UPLC/ESI-Q-TOF-MS data showed good ability to classify the leaves, stems and roots of P. multiflorum Thunb. The differential constituents, such as stilbenes, polygoacetophenoside, flavonoids and anthraquinones, accounting for variations between the leaves, stems and roots, were filtered through the variable importance in projection values and were further identified by elemental composition analysis, mass fragmentation data and retention times of available standards. Differences between the chemical compositions in the leaves, stems and roots of P. multiflorum Thunb. were closely related to their various therapeutic effects. This UPLC/ESI-Q-TOF-MS-based analytical strategy could be further utilized to evaluate the overall quality of traditional Chinese medicines and their differences of chemical constituents in different parts of the plant and/or in the plants of different geographical locations.


2020 ◽  
Vol 28 (8) ◽  
pp. 1092-1101
Author(s):  
E. Folkesson ◽  
A. Turkiewicz ◽  
N. Ali ◽  
M. Rydén ◽  
H.V. Hughes ◽  
...  

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