HPLC-DAD, GC–MS, UHPLC-Q-TOF/MS2, ICP-MS and FT-NIR combined with the chemometrics explain seasonal variation in Cassia senna L. leaves from the coast of Red Sea in Sudan

Tahir, Haroon Elrasheid; Hashim, Sulafa B.H.; Arslan, Muhammad; Mahunu, Gustav Komla; Xiaowei, Huang; Zhihua, Li; Mariod, Abdalbasit Adam; Abdalla, Isameldeen I.H.; El-Seedi, Hesham R.; Aziz Ahmed, Ahmed Abdel; Xiaobo, Zou

doi:10.1016/j.sajb.2023.10.019

Cited by 2 publications

(2 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Thermo Fisher Scientific Hypersil GOLD VANQUISH column C18 (1.9 um aQ 100 × 2.1 mm) was used for chromatographic separations. The UHPLC chromatographic conditions and data processing were according to our previous method 25 …”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Metabolic and elemental profiling as potential discriminating features among the black mahlab seeds (Monechma ciliatum) grown in three different regions

Mariod,

Tahir

2024

Phytochemical Analysis

Self Cite

View full text Add to dashboard Cite

IntroductionBlack mahlab (Monechma ciliatum) seed is a rich source of metabolites and minerals and is usually believed to have a similar composition between different areas of cultivation. Until now, no studies have assessed changes in black mahlab seeds (BMSs) to determine those constituents that help to discriminate them according to geographical origin.ObjectivesThe present study attempted to compare the metabolomics and elemental profiles of BMSs of different geographical origins and identified the potential markers using ultrahigh‐performance liquid chromatography quadrupole Orbitrap tandem mass spectrometry (UHPLC‐Q‐Orbitrap‐MS2), and inductively coupled plasma mass spectrometry (ICP‐MS) techniques and established the chemometric model to identify the potential markers and discriminate them according to cultivation sites.Material and methodsIn this work, data from metabolites analysis by UHPLC‐Q‐Orbitrap‐MS2 and multi‐elemental data obtained from ICP‐MS were combined with chemometrics for tracing the geographical origin of BMSs. Principal component analysis (PCA) was used to evaluate the overall grouping of samples. In contrast, partial least squares‐discriminant analysis (PLS‐DA) and orthogonal partial least squares discriminant analysis (OPLS‐DA) were employed for authentication.ResultsPLS‐DA and OPLS‐DA models were fully validated (R2Y and Q2 values > 0.5). Variable importance of various projections was applied to obtain valuable data about differential elements (seven markers were identified) and metabolites (23 markers were identified) with high discrimination potential. The outcomes presented in this study serve as an appropriate framework for developing novel discrimination approaches in food origin screening.

show abstract

Section: Methodsmentioning

confidence: 99%

“…Subsequently, the vessels were hermetically sealed and loaded into a microwave digestion system (CEM Mars, Matthews, NC, USA). The digestion condition was according to the literature 25 . After digestion, the solutions were transferred into volumetric flasks (50 mL) and diluted to 50 mL with ultra‐high purity water.…”

Section: Methodsmentioning

confidence: 99%