Enzy
me kinetics is an essential part of a c
he
mistry curriculu
m, especially for students interested in bio
medical researc
h or in
healt
h care fields. T
houg
h t
he concept is routinely perfor
med in undergraduate c
he
mistry/bioc
he
mistry classroo
ms using ot
her spectroscopic
met
hods, we provide an opti
mized approac
h t
hat uses a real-ti
me
monitoring of t
he kinetics by quantitative NMR (qNMR) spectroscopy and a direct analysis of t
he ti
me course data using La
mbert-W function. T
he century old Mic
haelis鈥揗enten equation, one of t
he funda
mental concepts in bioc
he
mistry, relates t
he ti
me derivative of t
he substrate to two kinetic para
meters (t
he Mic
haelis constant
KM and t
he
maxi
mu
m rate
Vmax) and to t
he concentration of t
he substrate. T
he exact solution to t
he Mic
haelis鈥揗enten equation, in ter
ms of t
he La
mbert-W function, is not available in standard curve-fitting tools. T
he
hig
h-quality of t
he real-ti
me qNMR data on t
he enzy
me kinetics enables a revisit of t
he concept of applying t
he progress curve analysis. T
his is particularly
made feasible wit
h t
he advent of analytical approxi
mations of t
he La
mbert-W function. T
hus, t
he co
mbination of NMR experi
mental ti
me-course data wit
h progress curve analysis is de
monstrated in t
he case of enzy
me (invertase) catalyzed
hydrolysis reaction (conversion of sucrose to fructose and glucose) to provide students wit
h direct and si
mple esti
mations of kinetic para
meters of Mic
haelis鈥揗enten. Co
mplete details on
how to i
mple
ment t
he experi
ment and perfor
m data analysis are provided in t
he
href="http://pubs.acs.org/doi/suppl/10.1021/acs.jchemed.5b00136/suppl_file/ed5b00136_si_001.pdf" class="ext-link">Supporting Information.