All Outputs (2)

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models (2016)
Journal Article
Hamid, H. A., Jenidi, Y., Thielemans, W., Somerfield, C., & Gomes, R. L. (2016). Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models. Industrial Crops and Products, 93, 108-120. https://doi.org/10.1016/j.indcrop.2016.05.035

This study observed the influence of temperature, initial Cu(II) ion concentration, and sorbent dosage on the Cu(II) removal from the water matrix using surface-oxidized cellulose nanowhiskers (CNWs) bearing carboxylate functionalities. In addition,... Read More about Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models.

Enhancing natural product extraction and mass transfer using selective microwave heating (2016)
Journal Article
Lee, C. S., Binner, E., Winkworth-Smith, C., John, R., Gomes, R., & Robinson, J. (2016). Enhancing natural product extraction and mass transfer using selective microwave heating. Chemical Engineering Science, 149, https://doi.org/10.1016/j.ces.2016.04.031

This study uses a combination of empirical observations and an analysis of mass transfer behaviour to yield new insights into the mechanism of microwave assisted extraction. Enhancements in extraction rate and yield were observed experimentally compa... Read More about Enhancing natural product extraction and mass transfer using selective microwave heating.