Cold active pectinases: advancing the food industry to the next generation.

Pectinase has been an integral part of commercial food processing, where it is used for degradation of pectin and facilitates different processing steps such as liquefaction, clarification and juice extraction. The industry currently uses pectinases from mesophilic or thermophilic microorganisms which are well established, but recently, there has been is a new trend in the food industry to adopt low-temperature processing. This trend is due to the potential economic and environmental advantages which the industry envisages. In order to achieve this change, an alternative for the existing pectinases, which are mostly mesophilic and temperature-dependent, must be identified, which can function efficiently at low temperatures. Psychrophilic pectinases derived from cold-adapted microorganisms, are known to function at low to freezing temperatures and may be an alternative to address the problem. Psychrophilic pectinases can be obtained from the vast microflora inhabiting various cold regions on earth such as oceans, Polar Regions, snow-covered mountains, and glaciers. This article is intended to study the advantages of cold active pectinases, its sources, and the current state of the research.

Optimization of polygalacturonase production from a newly isolated Thalassospira frigidphilosprofundus to use in pectin hydrolysis: statistical approach.

The present study deals with the production of cold active polygalacturonase (PGase) by submerged fermentation using Thalassospira frigidphilosprofundus, a novel species isolated from deep waters of Bay of Bengal. Nonlinear models were applied to optimize the medium components for enhanced production of PGase. Taguchi orthogonal array design was adopted to evaluate the factors influencing the yield of PGase, followed by the central composite design (CCD) of response surface methodology (RSM) to identify the optimum concentrations of the key factors responsible for PGase production. Data obtained from the above mentioned statistical experimental design was used for final optimization study by linking the artificial neural network and genetic algorithm (ANN-GA). Using ANN-GA hybrid model, the maximum PGase activity (32.54 U/mL) was achieved at the optimized concentrations of medium components. In a comparison between the optimal output of RSM and ANN-GA hybrid, the latter favored the production of PGase. In addition, the study also focused on the determination of factors responsible for pectin hydrolysis by crude pectinase extracted from T. frigidphilosprofundus through the central composite design. Results indicated 80% degradation of pectin in banana fiber at 20 °C in 120 min, suggesting the scope of cold active PGase usage in the treatment of raw banana fibers.