Bioseparation using affinity techniques.

Bioseparation of proteins from dilute solutions using different novel affinity procedures is reviewed. Emphasis is also placed on the quality of the product separated. Whenever possible, physical insights into the separation procedure are provided, besides indicating suitable directions where appropriate further research may be carried out. The procedures analyzed are different affinity chromatographic techniques, affinity separation using liquid perfluorocarbon supports, water soluble nonionic surfactants for affinity bioseparations, affinity cross-flow filtration, bioaffinity separation using reversed micelles, affinity precipitation and dual-functional affinity protein purification.     

Protein/enzyme inactivation during different chromatographic methods of separation.

Protein denaturations encountered during the different types of chromatographic separations are presented. The analysis of different protein denaturations presented along with the causes of such denaturations provides a judicious framework to compare protein denaturations encountered by such separation techniques. Especially of interest are those studies which compare the mass recovery of proteins and the retention of activity by different chromatographic techniques. Reversed-phase chromatography is presented even though it is utilized nowadays only for specialized cases such as separation of small peptides. It appears that relatively mild interactions that are encountered generally in hydrocarbon-interaction chromatography are favorable to the preservation of the native (active) protein state. The few available mechanistic studies presented provide judicious physical insights into protein conformational behavior on chromatographic columns.     

Short tandem repeat based analysis of genetic variability in Kanarese buffalo of South India

The goal of the present study was assessing genetic diversity within Kanarese buffalo, the dual purpose breed of South India. A total of 48 unrelated animals were genotyped at 23 short tandem repeat (STR markers)loci. The total number of observed alleles was 180 with a mean of 7.83 per locus, which varied from 3 to 12 across different loci. The mean observed and expected heterozygosity in South Kanara buffaloes was estimated to be 0.518 and 0.712 respectively. Within population inbreeding estimate (F _IS) was significantly positive in most of the investigated loci which resulted in significant deviation from Hardy-Weinberg equilibrium at 19 of 23 loci analyzed. Evaluation of South Kanara buffalo population for mutation drift equilibrium revealed no significant heterozygosity excess under three different models of evolution viz. infinite alleles model (IAM), step-wise mutation model (SMM) and two phase model (TPM), thus indicating the absence of any recent genetic bottleneck. The results of the present study will help in formulating rational breeding strategies as well as conservation of this important germplasm.     

Fractal binding and dissociation kinetics of heart-related compounds on biosensor surfaces

A fractal analysis is presented for the binding and dissociation of different heart-related compounds in solution to receptors immobilized on biosensor surfaces. The data analyzed include LCAT (lecithin cholesterol acyl transferase) concentrations in solution to egg white apoA-I rHDL immobilized on a biosensor chip surface (1), native, mildly oxidized, and strongly oxidized LDL in solution to a heparin-modified Au-surface of a surface plasmon resonance (SPR) biosensor (2), and TRITC-labeled HDL in solution to a bare optical fiber surface (3). Single-and dual-fractal models were used to fit the data. Values of the binding and the dissociation rate coefficient(s), affinity values, and the fractal dimensions were obtained from the regression analysis provided by Corel Quattro Pro 8.0 (4). The binding rate coefficients are quite sensitive to the degree of heterogeneity on the sensor chip surface. Predictive equations are developed for the binding rate coefficient as a function of the degree of heterogeneity present on the sensor chip surface and on the LCAT concentration in solution and for the affinity as a function of the ratio of fractal dimensions present in the binding and the dissociation phases. The analysis presented provided physical insights into these analyte-receptor reactions occurring on different biosensor surfaces.     

Detection of glucose and related analytes by biosensors: a fractal analysis

A fractal analysis is used to model the binding and dissociation kinetics of connective tissue interstitial glucose, adipose tissue interstitial glucose, insulin, and other related analytes on biosensor surfaces. The analysis provides insights into diffusion-limited analyte-receptor reactions occurring on heterogeneous biosensor surfaces. Numerical values obtained for the binding and the dissociation rate coefficients are linked to the degree of heterogeneity or roughness [fractal dimension (D(f))] present on the biosensor chip surface. The binding and dissociation rate coefficients are sensitive to the degree of heterogeneity on the surface. For example, for the binding of plasma insulin, as the fractal dimension value increases by a factor of 2.47 from D(f1)=0.6827 to D(f2)=1.6852, the binding rate coefficient increases by a factor of 4.92 from k(1)=1.0232 to k(2)=5.0388. An increase in the degree of heterogeneity on the probe surface leads to an increase in the binding rate coefficient. A dual-fractal analysis is required to fit the binding kinetics in most of the cases presented. A single fractal analysis is adequate to describe the dissociation kinetics. Affinity (ratio of the binding to the dissociation rate coefficient) values are also presented. Interferents for glucose, such as uric acid and ascorbic acid, were also detected by using glucose biosensors based on carbon nanotube (CNT) nanoelectrode ensembles (NEEs) (Lin Y, Lu F, Tu Y, Ren Z).     

Enzymatic hydrolysis of cellulosic materials by Sclerotium rolfsii culture filtrate for sugar production.

The hydrolysis of purified celluloses (cotton, Avicel, Cellulose-123, Solka Floc SW40) and cellulosic wastes (rice straw, sugarcane bagasse, wood powders, paper factory effluents) by Sclerotium rolfsii CPC 142 culture filtrate was studied. Factors which effect saccharification such as pH, temperature, enzyme concentration, substrate concentration, produce inhibition, adsorption, and inactivation of enzyme and particle size were studied. Virtually no inhibition (less than 3%) of cellulose hydrolysis by the culture filtrate was observed by cellobiose and glucose up to 100 mg/mL. Filter paper degrading enzyme(s) (but neither carboxymethylcellulase nor beta-glucosidase) was adsorbed on cellulose. The n value in the S. rolfsii system was calculated to be 0.32 for Avicel P.H. 101 and 0.53 for alkali-treated (AT) rice straw indicating penetration of cellulase into AT rice straw. In batch experiments at 10% substrate level, solutions containing 6 to 7%, 3.8 to 4.7%, 4.0 to 5.1%, and 4.2 to 4.9% reducing sugars were produced in 24 to 48 from AT rice straw. AT bagasse, alkali - peracetic acid treated mesta wood and paper factory sedimented sludge effluent, respectively. The main constituent in the hydrolysate from cellulose was glucose with little or no cellobiose, probably due to the high cellobiase content in the culture filtrate.