Manashi Das Purkayastha

Bio-functionalized MWCNT/hyperbranched polyurethane bionanocomposite for bone regeneration

The proper fabrication of biomaterials, particularly for purposes like bone regeneration, is of the utmost importance for the clinical success of materials that fulfill the design criteria at bio-interfacial milieu. Building on this aspect, a polyurethane nanocomposite (PNC) was fabricated by the combination of rapeseed protein functionalized multi-walled carbon nanotubes (MWCNTs) and vegetable-oil-based hyperbranched polyurethane. Biofunctionalized MWCNTs showed incredible biocompatibility compared to pristine MWCNTs as ascertained via in vitro and in vivo studies. PNC showed enhanced MG63 cell differentiation ability compared to the control and carboxyl functionalized MWCNT-based nanocomposite, as postulated by alkaline phosphatase activity together with better cellular adhesion, spreading and proliferation. Consequently, a critical-sized fracture gap (6 mm) bridged by the sticky PNC scaffold illustrated rapid bone neoformation within 30-45 d, with 90-93% of the defect area filling up. Histopathological studies demonstrated the reorganization of the normal tibial architecture and biodegradation of the implant. The subsequent toxicological study through cytokine expression, biochemical analysis and hematological studies suggested non-immunogenic and non-toxic effects of PNCs and their degraded/leached products. Their excellent bio-physiological features with high load-bearing ability (49-55.5 Mpa), ductility (675-790%) and biodegradability promote them as the best alternative biomaterials for bone regeneration in a comprehensive manner.

Tackling correlated responses during process optimisation of rapeseed meal protein extraction.

Setting of process variables to meet the required specifications of quality characteristics is a crucial task in the extraction technology or process quality control. Simultaneous optimisation of several conflicting characteristics poses a problem, especially when correlation exists. To remedy this shortfall, we present multi-response optimisation based on Response Surface Methodology (RSM)-Principal Component Analysis (PCA)-desirability function approach, combined with Multiple Linear Regression (MLR). Experimental manifestation of the proposed methodology was executed using a multi-responses-based protein extraction process from an industrial waste, rapeseed press-cake. The proposed optimal factor combination reflects a compromise between the partially conflicting natures of the original responses. Prediction accuracy of this new hybrid method was found to be better than RSM alone, verifying the adequacy and superiority of the said approach. Furthermore, this study suggests the feasibility of the exploitation of the waste rapeseed oil-cake for extraction of valuable protein, with improved colour properties using simple, viable process.

Erratum to: Thin layer drying of tomato slices

Erratum to: J Food Sci Technol DOI 10.1007/s13197-011-0397-x The original version of this article unfortunately contained a mistake. Image of Figure 5 has been unintentionally replaced with another image. Correct image of Figure 5 is shown below.

Industrial Waste-Derived Nanoparticles and Microspheres Can Be Potent Antimicrobial and Functional Ingredients

Rapeseed oilcake or press-cake is generated as bulk waste during oil extraction from oilseeds. Owing to its high protein content, further processing of oilcakes into vegetable protein generates large quantities of fibrous residue (“oil-and-protein” spent meal) as by-product, which currently has very limited practical utility. Here, we report hydrothermal carbonization of this industrial waste to convert it into carbon nanoparticles, bestowed with multitude of functionalities. We demonstrate that these nanoparticles can be assembled into micrometer-sized spheres when precipitated from water by acetone. These microspheres, with their added feature of hemocompatibility, can be potentially utilized as an encapsulation vehicle for the protection of thermolabile compounds (such as protein); however, the secondary and tertiary features of the protein were marginally perturbed by the encapsulation process. The synthesized carbon nanoparticle was found to be an effective biocidal agent, exhibiting bacterial cellular damage and complex formation with the bacterial plasmid (evident from ethidium bromide exclusion assay), which are critical for cell survival. The results show the ability to convert industrial biowaste into useful nanomaterials for use in food industries and also suggest new scalable and simple approaches to improve environmental sustainability in industrial processes.

Statistically designed optimal process conditions for recuperation of protein from rapeseed meal

This work proposes the exploitation of under-utilized, non-expensive rapeseed press-cake as a source for producing high yield of protein, having superior whiteness and emulsion properties, and reduced level of residual phytate content. The chosen response parameters are relevant to food, pharmaceutical and cosmetic industries. Improvement in functional properties (emulsion properties) along with reduction in dark colour and toxic phytic acid level is expected to make rapeseed protein safer and commercially more viable for various applications. A multi-objective optimization technique based on Response surface methodology (RSM) has been presented. Using Derringer function, an optimum and feasible experimental condition was obtained with high composite desirability. The calculated regression model proved suitable for the evaluation of extraction process, whose adequacy was confirmed by Anderson-Darling Normality tests, Relative Standard Error of the Estimate (RSEE) and also by means of additional experiments performed at derived feasible experimental condition. The proposed simple alkaline protein extraction process, from defatted partially dephenolized rapeseed meal, under feasible optimal condition, was found to be suitable and potent for the recovery of high-quality vegetable protein.

Production of Vegetable Protein from Rapeseed Press-Cake Using Response Surface Methodology, Weighted Multivariate Index, and Desirability Function: A Way to Handle Correlated Multiple Responses

The majority of present day industrial processes/products are defined by several quality characteristics, for which the process variables need to be precisely modulated to meet the required specifications. Hence, the multi-response process optimization has become an increasingly important and demanding task. In practice, many of these quality characteristics under consideration show conflicts among themselves, which need to be simultaneously satisfied. This situation is aggravated when the quality characteristics show correlation. To remedy this shortfall, we present a novel multi-objective process optimization approach, based on weighted principal components (principal component scores weighted by their respective eigen values), response surface methodology and desirability function. The implementation of the suggested approach is presented on a study that discusses the optimization of light-colored and reduced phytate containing protein extraction process from rapeseed press-cake. The effectiveness of the said approach was confirmed by performing additional confirmatory experiments at the predicted optimal condition. Furthermore, this study suggests the feasibility of the exploitation of the waste oilseed cake for extraction of high quality vegetable protein, using viable process and simple computational procedure. This study also briefly highlights performance analyses in cross-flow batch extraction scheme using optimized condition.