Do you want to publish a course? Click here

Study of the Anti Bacterial Effectivness of Many Plants on Pseudomonas Aeruginosa Which Reveal Resistance Toward Many Antibiotics

دراسة التأثير المضاد للجراثيم للعديد من النباتات في جراثيم الزائفة الزنجارية التي أبدت مقاومة للعديد من الصادات الحيوية

1368   1   72   0 ( 0 )
 Publication date 2011
  fields Pharmacy
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

Pathogenic germs have developed an increasing resistance toward many antibiotics which form a true problem for human being ,because these germs can transport to him by many ways such as water ,food and air that may cause many dangerous diseases to human being. The aim of this study is to investigate the effectiveness of extractions prepared from different parts of the flowing plants: Olea europea Linn(Oleaceae) , Myrtus communis Linn(Liliaceae) ,Majorana syriacus Linn (Laminaceae), Zingiber officinale Linn(Zingiberaceae),and Achillea falcata Linn(Asteraceae), against Pseudomonas Aeruginosa.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة تأثير مستخلصات نباتية مختلفة على جراثيم الزائفة الزنجارية المقاومة للعديد من الصادات الحيوية. تم اختبار مستخلصات من نباتات الزيتون، الأس، المردكوش، الزنجبيل، والقيصوم. أظهرت النتائج أن مستخلص القيصوم كان الأكثر فعالية ضد الزائفة الزنجارية، بينما كان مستخلص الزنجبيل الأقل فعالية. وأظهرت الصادات الحيوية المدروسة فعالية محدودة، باستثناء الأميكاسين الذي أبدى فعالية مقبولة. توصي الدراسة بإجراء المزيد من البحوث على تأثير هذه النباتات على أنواع أخرى من الجراثيم المقاومة للصادات الحيوية.
Critical review
دراسة نقدية: تعتبر هذه الدراسة خطوة مهمة نحو البحث عن بدائل طبيعية للصادات الحيوية التقليدية، خاصة في ظل تزايد مقاومة الجراثيم للصادات. ومع ذلك، يمكن تحسين الدراسة من خلال توسيع نطاق العينات النباتية المستخدمة واختبار تأثيرها على مجموعة أوسع من الجراثيم. كما يمكن تعزيز موثوقية النتائج بإجراء تجارب ميدانية إضافية وتكرار الاختبارات في ظروف مختلفة. من الجيد أيضًا دراسة التركيب الكيميائي للمستخلصات النباتية لتحديد المركبات الفعالة بشكل أكثر دقة.
Questions related to the research
  1. ما هي النباتات التي تم اختبارها في الدراسة؟

    تم اختبار مستخلصات نباتات الزيتون، الأس، المردكوش، الزنجبيل، والقيصوم.

  2. ما هي الجراثيم المستهدفة في هذه الدراسة؟

    الجراثيم المستهدفة هي الزائفة الزنجارية المقاومة للعديد من الصادات الحيوية.

  3. أي مستخلص نباتي أظهر أقوى فعالية ضد الزائفة الزنجارية؟

    مستخلص القيصوم أظهر أقوى فعالية ضد الزائفة الزنجارية.

  4. ما هو الصاد الحيوي الوحيد الذي أبدى فعالية مقبولة ضد الزائفة الزنجارية؟

    الأميكاسين هو الصاد الحيوي الوحيد الذي أبدى فعالية مقبولة ضد الزائفة الزنجارية.


References used
Aytul K K.Antimicrobial and antioxidant activities of olive leaf extract and its food applications .a thesis submitted to the graduate school of engineering and sciences of izmir institute of technology.2010
Khder A K.Effect of allium sativum and myrtus communis on the elimination of antibiotic resistance and swarming of proteus mirabilis. jordan journal of biological sciences. Vol.1, No.3. 2008.p.124 -128
Al-Anbori, Dalia K.A, Al-Nimer, Marwan S.M., Al-Weheb, Athraa M. Antibacterial activity of ethanolic extract of myrtus communis. l leaves against salivary mutans streptococci.saudi dental journal:2008. 20(3); 82- 87
rate research

Read More

This research aims to investigate the effectiveness of anti-bacteria shown by the extracts prepared from per carps of different types of Punica granatum ( L) ( from the family Punicaceae), which grow in Syria against Escherichia coli (E.coli) biotype (1), which were resistant to studied antibiotics.
Pyocyanin was extracted from cultures of Pseudomonas aeruginosa, which was isolated from sea water by chloroform. Results study the effect of pyocyanin against human pathogenic bacteria, which were isolated from Al-Assad hospital laboratory in La ttakia, with disk diffusion method showed that pyocyanin has antibacterial activity against Gram- positive bacteria.
Deep neural language models such as BERT have enabled substantial recent advances in many natural language processing tasks. However, due to the effort and computational cost involved in their pre-training, such models are typically introduced only f or a small number of high-resource languages such as English. While multilingual models covering large numbers of languages are available, recent work suggests monolingual training can produce better models, and our understanding of the tradeoffs between mono- and multilingual training is incomplete. In this paper, we introduce a simple, fully automated pipeline for creating language-specific BERT models from Wikipedia data and introduce 42 new such models, most for languages up to now lacking dedicated deep neural language models. We assess the merits of these models using cloze tests and the state-of-the-art UDify parser on Universal Dependencies data, contrasting performance with results using the multilingual BERT (mBERT) model. We find that the newly introduced WikiBERT models outperform mBERT in cloze tests for nearly all languages, and that UDify using WikiBERT models outperforms the parser using mBERT on average, with the language-specific models showing substantially improved performance for some languages, yet limited improvement or a decrease in performance for others. All of the methods and models introduced in this work are available under open licenses from https://github.com/turkunlp/wikibert.
A total of 73 drinking water samples were collected from distribution system in Lattakia city, the aim was to search for hetrotrophic bacteria and investigate their resistance to chlorine and antibiotics. The antibiotic susceptibility tests were: carried out by using agar dillution method (MIC) and the antibiotics tested were: Ampicillin, Chloramphenicol, tetracycline, Amikacin, Ciprofloxacin, Cefotaxim, Gentamicin, Erythromycin Piperacilin/ Tazobactam, and cephalothin. A sum of 133 bacterial strains were isolated and included by five genera: pseudomonas, acinetobacter, flavobacter, chromobacter, and methylobacter. The samples content of residual chlorine were ranged between 0.1 to 3.8 mg/l. The majority of bacterial strains isolated were resistance to chlorine. The multiple antibiotic resistances were common amongst isolated bacterial strains.
20 antibiotics were monitored for their sales for six months, through official prescriptions in six drug stores throughout Lattakia. Percent proportions of sale for each antibiotic were reported. These statistical data were correlated with laborat ory studies on screening these antibiotics on different bacterial strains that collected from different laboratories and hospitals of Lattakia. The purpose of this continuous study is to undertake an assessment of levels of antibiotic resistance by local isolated bacteria, and to determine the factors influencing the offspring of that resistance. 1430 medical prescriptions were reported, 965 of them (i.e.: 67, 48%) contained one or more antibiotic. In addition, there were 340 cases of nonofficial sales of some distinct antibiotics. 275 of bacterial strains were isolated from clinical specimens (mostly were as urogenital, pharyngeal, wounds, and burns infections). These strains distributed as follow: 183 (i.e.: 66, 54%), were Enterobacteriaceae strains.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا