НАЦИОНАЛНА ПРОГРАМА „ЕВРОПЕЙСКИ НАУЧНИ МРЕЖИ“
DRUG-MOLECULE – обучение за млади учени, докторанти и студенти магистри на тема: Молекулните сензори и молекулните логически устройства като платформа за диагностика в медицината и биологията
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)
На 25 януари в ХТМУ започва обучение за млади учени, докторанти и студенти магистри на тема „Микробиологични методи за анализ и контрол на лекарствени средства“ в изпълнение на работна програма по споразумение с МОН Д01-278/05.10.2020
НАЦИОНАЛНА ПРОГРАМА „ЕВРОПЕЙСКИ НАУЧНИ МРЕЖИ“
DRUG-MOLECULE
Микробиологични методи за анализ и контрол на лекарствени средства
Лектор: проф. д-р Нели Георгиева
Програма
№
|
Лекция
|
Дата и час
|
продължителност
|
1
|
Прокариоти vs Еукариоти.
Механизми на действие на антимикробните вещества.
|
25.01.2021г.
10ч-13ч
|
3ч
|
2
|
Антимикробни пептиди – бактериоцини.
|
26.01.2021г.
10ч-13ч
|
3ч
|
3
|
Тестове при определяне на антимикробна чувствителност.
|
27.01.2021г.
10ч-13ч
|
3ч
|
4
|
Микробиологичен контрол при фармацевтичните производства.
|
29.01.2021г.
10ч-13ч
|
3ч
|
|
ОБЩО
|
12ч
|
В лекционния курс са включени знания относно механизмите на действие на антимикробните вещества, антимикробните пептиди, тестовете за определяне на антимикробната чувствителност, както и микробиологичния контрол при фармацевтичните производства.
Обучението ще се проведе на 25, 26, 27 и 29.01.2021г. от 10-13ч. чрез следния линк в Google meet: meet.google.com/vyd-scjq-shz
При желание да се запишете за онлайн присъствие на обучението, моля да подадете Заявка за участие на следния линк до 22.01.2021г., за да бъдете включени в групата:
https://docs.google.com/forms/d/1HNT8sfbJ7pBFJ7a2KkBszjo1VZOaLQRhP6W-SKS20vY/edit