TY - JOUR
T1 - Statistically-guided optimization of the catalysis of cellulose hydrolysis via sulfamic acid functionalized magnetic iron/iron(III) oxide core-shell nanoparticles
AU - SY, Asanka
AU - B, Austin
AU - C, Jose
AU - Xu, Feng
AU - W, Donghai
AU - HB, Stefan
AU - SP, Ayomi
AU - W, Hongwang
N1 - Note: This work was supported by National Science Foundation [grant numbers: NSF EPS 0903806 and NSF ECCS 1128570].
PY - 2017/5/10
Y1 - 2017/5/10
N2 - Effective optimization of the degradation of cellulose into glucose, via a magnetic catalyst is achieved, for the first time, using statistically guided modification of reaction conditions. A highly efficient procedure for the large-scale synthesis of iron/iron(III) oxide (Fe/Fe3O4) magnetic nanoparticles (MNPs), functionalized with sulfamic acid, has been developed. The acid functionalized MNPs have been used successfully, as a heterogeneous catalyst in the hydrolysis of cellulose to glucose and other yeast-convertible sugars, with a cellulose conversion of >50%. Optimization of the reaction conditions for the catalytic reactions has been accomplished, via the Doehlert matrix statistical approach. The Catalyst has been recovered up to 82% of its original weight, over 20 reaction cycles, with only marginal losses of magnetic property and catalytic activity. Based on its' robustness and efficiency, we propose that the above catalyst is an excellent candidate for the industrial production of ethanol from plant cellulose.
AB - Effective optimization of the degradation of cellulose into glucose, via a magnetic catalyst is achieved, for the first time, using statistically guided modification of reaction conditions. A highly efficient procedure for the large-scale synthesis of iron/iron(III) oxide (Fe/Fe3O4) magnetic nanoparticles (MNPs), functionalized with sulfamic acid, has been developed. The acid functionalized MNPs have been used successfully, as a heterogeneous catalyst in the hydrolysis of cellulose to glucose and other yeast-convertible sugars, with a cellulose conversion of >50%. Optimization of the reaction conditions for the catalytic reactions has been accomplished, via the Doehlert matrix statistical approach. The Catalyst has been recovered up to 82% of its original weight, over 20 reaction cycles, with only marginal losses of magnetic property and catalytic activity. Based on its' robustness and efficiency, we propose that the above catalyst is an excellent candidate for the industrial production of ethanol from plant cellulose.
KW - Chemical engineering
UR - https://www.tsijournals.com/abstract/statisticallyguided-optimization-of-the-catalysis-of-cellulose-hydrolysis-via-sulfamic-acid-functionalized-magnetic-iron-13247.html
M3 - Article
SN - 0974-7494
VL - 11
JO - Nano Science & Nano Technology : An Indian Journal
JF - Nano Science & Nano Technology : An Indian Journal
IS - 1
ER -