Development and characterization of nanoporous carbon membranes for protein ultrafiltration

Preparation of nanoporous composite carbon membrane for separation of rhodamine B dye

“…The carbon membrane reported in this work has higher pure water flux and permeability (1.8 times) than the membranes reported in literature [17]. Basic dye, rhodamine B has been separated and the real rejection calculated by including the concentration polarization effect.…”

“…Only a few works have been reported [13][14][15][16][17][18][19][20][21][22] that have explored carbon membranes for microfiltration and ultrafiltration applications. The characteristics of carbon microfiltration membranes are mainly determined by the pore structure and therefore, it is very important to closely control it.…”

“…Further, it was possible to get a four-fold increase (41 lm −2 h −1 bar −1 ) in the membrane permeability by reducing the thickness of the membranes to 7 m [17]. The authors have slip-cast the stainless steel supports by silica particles to block the macropores to reduce the defects of the supports.…”

Separation of bovine serum albumin (BSA) using γ‐Al2O3–clay composite ultrafiltration membrane

“…Further, the separation occurred on the basis of electrostatic interactions between charged proteins and charged membranes. 34,35 In this article, a low cost γ -Al 2 O 3 -clay composite membrane on a clay support has been prepared using locally available cheap clays. The porous clay support is fabricated using uniaxial pressing method and the top selective layer (γ -Al 2 O 3 ) coated on the support is prepared using a stable boehmite sol by dip-coating technique.…”

Fitting approach to liquid–liquid displacement porosimetry based on the log-normal pore size distribution

“…The algorithms which could be used for processing data 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 are very sensitive to experimental errors requiring some smoothing to get reasonable distributions. Some authors have performed spline smoothing to get better results from LLDP, [8,9], based on a polynomial fitting that somehow loses the physical meaning.…”