Factorial design applied to flux decline of anionic polyacrylamide removal from water by modified polyvinylidene fluoride ultrafiltration membranes

Fabricating an anionic polyacrylamide (APAM) with an anionic block structure for high turbidity water separation and purification

“…14,15 Up to now, a series of anionic polyacrylamide with high occulation performance have been developed and applied in the waste water treatment. 16,17 However, the defect of the APAM, namely, the disordered and random distribution of anionic units in the polymer chain, seriously restricts the further enhancement of the solidwater separation ability. In addition to the molecular weight (MW) and the density of the anionic monomer, the congura-tion and the distribution of anionic units also affect the nal occulation performance.…”

Statistical analysis of air-gap membrane desalination experimental data: Hypothesis testing

“…As stated above, the scientific literature is very rich in the use of factorial design and analysis of experimental approach to different purification processes [12][13][14][15][16][17][18][19][20]. However, the use of hypothesis testing approach in MD related research is obviously lacking.…”

“…In these designs, main effects, as well as, interaction effects between main factors are usually of importance. The literature is very rich about the use of factorial design and analysis of experiments [12][13][14][15][16][17][18][19][20]. As an example, a factorial experimental design (two factors, each at five levels) was employed by M. A. Martín et al [13] to study the effects of coagulant and flocculant dosages at certain pH value in oily wastewater treatment process on two response variables: chemical oxygen demand (COD) and total organic carbon (TOC).…”

The use of factorial design in the analysis of air-gap membrane distillation data

“…Factorial experimental design is widely implemented in a variety of applied research areas [2][3][4][5][6][7][8][9][10][11][12][13]. As an example, a factorial experimental design with two factors and five levels for each was employed by Martin et al [2] to study the effects of coagulant and flocculant dosages at a certain pH value in oily waste water on two response variables: chemical oxygen demand (COD) and soluble total organic carbon (TOC).…”