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Muhammad Amin

Researcher at University of Sargodha

Publications -  498
Citations -  4074

Muhammad Amin is an academic researcher from University of Sargodha. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 24, co-authored 382 publications receiving 2905 citations. Previous affiliations of Muhammad Amin include National College of Business Administration and Economics & Royal Victoria Eye and Ear Hospital.

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Green synthesis of silver nanoparticles through reduction with Solanum xanthocarpum L. berry extract: characterization, antimicrobial and urease inhibitory activities against Helicobacter pylori

TL;DR: A green synthesis route for the production of silver nanoparticles using methanol extract from Solanum xanthocarpum berry (SXE) is reported in the present investigation, and AgNps under study were found to be equally efficient against the antibiotic-resistant and antibiotic-susceptible strains of H. pylori.
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Anti-Helicobacter pylori and Urease Inhibition Activities of Some Traditional Medicinal Plants

TL;DR: Evaluating the anti-Helicobacter pylori and urease inhibition activities of extracts produced from the above selected medicinal plants native to Soon Valley in the Punjab province of Pakistan indicated a competitive mechanism for extract of Acacia nilotica, whereas extract of Calotropis procera exhibited a mixed type of inhibition.
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Ethnobotanical Study of Medicinal Plants of Semi-Tribal Area of Makerwal & Gulla Khel (Lying between Khyber Pakhtunkhwa and Punjab Provinces), Pakistan

TL;DR: The data collected through interviews with the local people indicates that these species are mostly used in respiratory tract infections, urinary tract infections (UTI), digestive disorders, sexual problems, skin diseases, liver ailments, wound healing, blood vomiting, malaria, piles, epilepsy, jaundice, gummosis, round worms, hepatitis etc in the area.
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Airflow dynamics of coughing in healthy human volunteers by shadowgraph imaging: an aid to aerosol infection control.

TL;DR: Real-time, non-invasive shadowgraph imaging was applied to obtain additional analyses of cough airflows produced by healthy volunteers and demonstrates that although this method rarely completely blocks the cough airflow, it decelerates, splits and redirects the airflow, eventually reducing its propagation.