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Plant Stems

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Phytochemical, antibacterial, antioxidant and cytoxicity investigation of .

Zeitschrift fur Naturforschung. C, Journal of biosciences
The phytochemical investigation of led to the isolation of 18 known compounds of which were four flavones, three anthraquinones, one phenyl propanoic derivative, five triterpenoids, four steroids and a mixture of glucose. Luteolin () and soranjidiol...

Air assisted - vesicle based microextraction (AAVME) as a fast and green method for the extraction and determination of phenolic compounds in M. officinalis L samples.

Talanta
In this research, a simple, rapid, and efficient air assisted - vesicle based microextraction (AAVME) approach was developed for the extraction of phenolic compounds and their analysis in different Melissa officinalis L. samples. The extraction metho...

Simultaneous quantitative determination of bioactive terpene indole alkaloids in ethanolic extracts of Catharanthus roseus (L.) G. Don by ultra high performance liquid chromatography-tandem mass spectrometry.

Journal of pharmaceutical and biomedical analysis
A rapid, sensitive and reproducible method using ultra-high-performance liquid chromatography coupled with electrospray ionization hybrid triple quadrupole-linear ion trap mass spectrometry (UHPLC-ESI-QqQ-MS/MS) in multiple reaction monitoring (MRM) ...

Microwave assisted dehydration of broccoli by-products and simultaneous extraction of bioactive compounds.

Food chemistry
Broccoli by-products from frozen-food industry account for 45% of the initial broccoli heads. They consist on stalks, inflorescences, and leaves, blanched and non-blanched, sharing the nutritional value and bioactive compounds of commercial broccoli ...

Chemical findings and in vitro biological studies to uphold the use of Ficus exasperata Vahl leaf and stem bark.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Ficus exasperata Vahl, commonly known as sandpaper, is a terrestrial Afro-tropical tree used in popular medicine. Despite the existence of some works on the biological activities of this species, its chemical composition is still poorly known. The ai...

Antimicrobial Furoquinoline Alkaloids from Vepris lecomteana (Pierre) Cheek & T. Heller (Rutaceae).

Molecules (Basel, Switzerland)
Three new prenylated furoquinoline alkaloids named lecomtequinoline A (), B (), and C (), together with the known compounds anhydroevoxine (), evoxine (), dictamnine (), methylflindersine (), evoxanthine (), hesperidin, lupeol, -sitosterol, stigmaste...

ISOLATION AND CHARACTERIZATION OF CHEMICAL CONSTITUENTS FROM G. DON-HOLL. STEM-BARK EXTRACTS AND THEIR ANTIOXIDANT AND ANTIBACTERIAL PROPERTIES.

African journal of traditional, complementary, and alternative medicines : AJTCAM
BACKGROUND: The plant, is indigenous to Nigeria and its stem-bark has wide application in traditional medicine for the treatment of infections and oxidative stress related diseases. The aim of the study was to isolate the chemical constituents respo...

Optimization of polyphenols extraction by deep eutectic solvent from broccoli stem and characterization of their composition and antioxidative effects.

Scientific reports
Broccoli stem is known to possess abundant polyphenols. To efficiently extract polyphenols from broccoli stems, we herein describe an updated deep eutectic solvent extraction (DESE) method. Response surface modeling was utilized for optimization of t...

Modeling of stem form and volume through machine learning.

Anais da Academia Brasileira de Ciencias
Taper functions and volume equations are essential for estimation of the individual volume, which have consolidated theory. On the other hand, mathematical innovation is dynamic, and may improve the forestry modeling. The objective was analyzing the ...

Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds.

Plant physiology
Developing automated methods to efficiently process large volumes of point cloud data remains a challenge for three-dimensional (3D) plant phenotyping applications. Here, we describe the development of machine learning methods to tackle three primary...