Proteomic perspectives on thermotolerant microbes: an updated review.

INTRODUCTION: Thermotolerant microbes are a group of microorganisms that survive in elevated temperatures. The thermotolerant microbes, which are found in geothermal heat zones, grow at temperatures of or above 45°C. The proteins present in such microbes are optimally active at these elevated temperatures. Hence, therefore, serves as an advantage in various biotechnological applications. In the last few years, scientists have tried to understand the molecular mechanisms behind the maintenance of the structural integrity of the cell and to study the stability of various thermotolerant proteins at extreme temperatures. Proteomic analysis is the solution for this search. Applying novel proteomic tools determines the proteins involved in the thermostability of microbes at elevated temperatures. METHODS: Advanced proteomic techniques like Mass spectrometry, nano-LC-MS, protein microarray, ICAT, iTRAQ, and SILAC could enable the screening and identification of novel thermostable proteins. RESULTS: This review provides up-to-date details on the protein signature of various thermotolerant microbes analyzed through advanced proteomic tools concerning relevant research articles. The protein complex composition from various thermotolerant microbes cultured at different temperatures, their structural arrangement, and functional efficiency of the protein was reviewed and reported. CONCLUSION: This review provides an overview of thermotolerant microbes, their enzymes, and the proteomic tools implemented to characterize them. This article also reviewed a comprehensive view of the current proteomic approaches for protein profiling in thermotolerant microbes.

Fabrication and characterization of Spinacia oleracea extract incorporated alginate/carboxymethyl cellulose microporous scaffold for bone tissue engineering.

In recent years, plant based scaffold due to its inherent properties such as mechanical stability, renewability, easy mass production, inexpensiveness, biocompatibility and biodegradability with low toxic effects have received much attention in the field of bone tissue engineering. Design of good tissue compatible plant based polymer scaffold plays a vital role in biomedicine, nanomedicine and in various tissue engineering applications. The present study focused on the fabrication of a novel herbal scaffold using the medicinal plants Spinacia oleracea (SO) and Cissus quadrangularis (CQ) extracts incorporated with Alginate (Alg), Carboxy Methyl Cellulose (CMC) by lyophilization method. The structural nature and the properties of prepared scaffold were analyzed by XRD, FE-SEM, FTIR, EDAX, TGA, swelling ratio, porosity, in-vitro degradation and cell viability studies. The biocompatible nature of the plant based polymer scaffold was assessed using MG-63 Human Osteosarcoma cell line. The investigation of biocompatibility study showed that Alg/CMC/SO scaffold expressed higher cell viability than Alg/CMC/SO-CQ scaffold, which possess better cellular biocompatibility. The results of the present study suggested that plant based Alg/CMC/SO scaffold serve as a potential biopolymer scaffold which could be further exploited for bone tissue applications.

Pectin extraction from Helianthus annuus (sunflower) heads using RSM and ANN modelling by a genetic algorithm approach.

In this work, Response Surface Methodology (RSM) and Artificial Neural Network coupled with genetic algorithm (ANN-GA) have been used to develop a model and optimise the conditions for the extraction of pectin from sunflower heads. Input parameters were extraction time (10-20 min), temperature (40-60 °C), frequency (30-60 Hz), solid/liquid ratio (S/L) (1:20-1:40 g/mL) while pectin yield (PY%) was the output. Results showed that ANN-GA had a higher prediction efficiency than RSM. Using ANN as the fitness function, a maximum pectin yield of 29.1 ±â€¯0.07% was searched by genetic algorithm at the time of 10 min, temperature of 59.9 °C, frequency of 30 Hz, and solid liquid ratio of 1:29.9 g/mL while the experimental value was found to be 29.5 ±â€¯0.7%. Extracted pectin was characterised by FTIR and 13C NMR. Thus, ANN coupled GA has proved to be the effective method for the optimization of process parameters for pectin extraction from sunflower heads.

A sequential pretreatment of lignocelluloses in bamboo biomass to fermentable sugars by acid/enzymatic hydrolysis.

A sequential pretreatment method for hydrolyzing rigid hemicelluloses and cellulose content in the bamboo biomass was investigated in this study. The effects of different parameters, such as nature of biomass, type of acid, acid and biomass concentration, were studied. Under the optimum condition of 5% (v/v) HCl-treated biomass and biomass concentration (8%, w/v), the maximum yield of sugar (619 mg/g of biomass) was obtained. The enzymatic hydrolysis parameter conditions were further optimized by response surface methodology-based central composite method. According to the results, the highest yield of sugar (515 mg/g of biomass) was obtained at hydrolysis temperature 50 °C, biomass concentration 8.9%, w/v, enzyme concentration (199.8 mg/g of biomass) and time 60 h, respectively. The effects of untreated, pretreated and enzymatically hydrolyzed biomass structure and complexity were investigated by field emission scanning electron microscopy and X-ray diffraction techniques.

Pectin from muskmelon (Cucumis melo var. reticulatus) peels: extraction optimization and physicochemical properties.

Pectin derived from plant waste sources is currently focused as an economical and eco-friendly approach. Optimization of pectin extraction from muskmelon peel by response surface methodology (RSM) was investigated in this study. Box-Behnken Design (BBD) was used to identify the optimal level of the extraction variables such as time, pH and temperature. A second-order model equation for pectin extraction was obtained from multiple regression analysis of experimental data with the correlation coefficient (R 2) value of 0.92. ANOVA results showed that linear effect of temperature and combined effect of pH with temperature were found significant for pectin extraction from muskmelon peel. Validation results had good agreement with the predicted results. Pectin extracted from muskmelon peel was classed as high methoxy pectin with the equivalent weight of 384.5 g/mol. Non-newtonian pseudoplastic flow behaviour was observed for muskmelon pectin from the viscosity studies.

Statistical optimization of process parameters for exopolysaccharide production by Aureobasidium pullulans using sweet potato based medium.

Statistical experimental designs were applied to optimize the fermentation medium for exopolysaccharide (EPS) production. Plackett-Burman design was applied to identify the significance of seven medium variables, in which sweet potato and yeast extract were found to be the significant variables for EPS production. Central composite design was applied to evaluate the optimum condition of the selected variables. Maximum EPS production of 9.3 g/L was obtained with the predicted optimal level of sweet potato 10 %, yeast extract 0.75 %, 5.5 pH, and time 100 h. The determined (R 2) value was 0.97, indicating a good fitted model for EPS production. Results of this study showed that sweet potato can be utilized as a low-cost effective substrate for pullulan production in submerged fermentation.