Cinética química(multivix 2018)
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Cinética química(multivix 2018)
O estudo da cinética química é de extrema relevância para aplicação clínica. Através da cinética dos fármacos é possível determinar o tempo que o medicamento permanece com suas características físico-químicas dentro de limites aceitáveis e previamente estabelecidos. Além disso, é possível determinar sua forma desde absorção até eliminação passando pelo seu efeito. Imagine que um medicamento composto por dois princípios ativos atuam no organismo a 37°C de acordo com a seguinte reação 1 A + 2 B -> 1 C + 2 D
![Cinética química(multivix 2018) 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)
a) Calcule os valores de X, Y, Z, W, P e M
b) Calcule a velocidade de formação de C no intervalo de 10 a 20 min
c) Calcule a velocidade de consumo de B no intervalo de 0 a 10 min
d) A velocidade desta reação é constante? Justifique
Não tenho gabarito.
Achei a) (A=70 Y=10 Z=20 w=60 P=15 M=30)
b)0,5 mol
c) 2mol
se puderem confirmar o gabarito. Também gostaria de ajuda na ''d''
a) Calcule os valores de X, Y, Z, W, P e M
b) Calcule a velocidade de formação de C no intervalo de 10 a 20 min
c) Calcule a velocidade de consumo de B no intervalo de 0 a 10 min
d) A velocidade desta reação é constante? Justifique
Não tenho gabarito.
Achei a) (A=70 Y=10 Z=20 w=60 P=15 M=30)
b)0,5 mol
c) 2mol
se puderem confirmar o gabarito. Também gostaria de ajuda na ''d''
David Harmor- Iniciante
- Mensagens : 36
Data de inscrição : 19/03/2024
Idade : 23
Re: Cinética química(multivix 2018)
Sua resolução está correta.David Harmor escreveu:O estudo da cinética química é de extrema relevância para aplicação clínica. Através da cinética dos fármacos é possível determinar o tempo que o medicamento permanece com suas características físico-químicas dentro de limites aceitáveis e previamente estabelecidos. Além disso, é possível determinar sua forma desde absorção até eliminação passando pelo seu efeito. Imagine que um medicamento composto por dois princípios ativos atuam no organismo a 37°C de acordo com a seguinte reação 1 A + 2 B -> 1 C + 2 D
a) Calcule os valores de X, Y, Z, W, P e M
b) Calcule a velocidade de formação de C no intervalo de 10 a 20 min
c) Calcule a velocidade de consumo de B no intervalo de 0 a 10 min
d) A velocidade desta reação é constante? Justifique
Não tenho gabarito.
Achei a) (A=70 Y=10 Z=20 w=60 P=15 M=30)
b)0,5 mol
c) 2mol
se puderem confirmar o gabarito. Também gostaria de ajuda na ''d''
Sobre a alternativa d) → Não é constante. Para que seja constante, quantidades iguais de consumo molar deveriam ser mantidos para intervalos de tempo também iguais. Nota-se que, entre t = 0 e t = 10, 10 mols de A são consumidos, mas de t = 10 e t = 20, apenas 5 mols foram consumidos. Ou seja, para dois intervalos com decorrência de 10s, diferentes quantidades foram consumidas.
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David Harmor- Iniciante
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