Optimization of instant dalia dessert pre-mix production by using response surface methodology

Indigenous Products of the Indian Subcontinent Containing Cereals and Dairy: From Tradition to Commercialization

Background:

Traditional cereal based indigenous foods play a vital role in contributing to the livelihoods and diet of the population in the Indian subcontinent. A comprehensive account of these products and their traditional and mechanized production is however lacking. The current review aims to integrate this information in a systematic manner.

Methods:

The socioeconomic importance, traditional production methods, their mechanization and industrial production in India are documented. Their standards and regulations are depicted and potential research areas are identified.

Results:

Numerous cereal based milk products are consumed in India and are also becoming increasingly popular in the global market. These traditional products are nutritionally rich, and given proper exposure, are capable of countering global malnutrition problems. Challenges in their shelf life have now been taken care of with the help of novel technologies and these indigenous traditional products seem ready to overcome the international trade barriers.

Conclusion:

Extensive research on process standardization and optimization has been carried out on cereal based milk products such as kheer, dalia, Payasam and phirni in addition to their variants in the past decade. Novel products with modern technologies mimicking the traditional products have been developed to satisfy the nutritional and medical requirements and even the taste buds of the consumers. Wide scope in research applications still exists and still needs to be explored.

Medium optimization for pyrroloquinoline quinone (PQQ) production by Methylobacillus sp. zju323 using response surface methodology and artificial neural network-genetic algorithm

Methylobacillus sp. zju323 was adopted to improve the biosynthesis of pyrroloquinoline quinone (PQQ) by systematic optimization of the fermentation medium. The Plackett-Burman design was implemented to screen for the key medium components for the PQQ production. CoCl₂ · 6H₂O, ρ-amino benzoic acid, and MgSO₄ · 7H₂O were found capable of enhancing the PQQ production most significantly. A five-level three-factor central composite design was used to investigate the direct and interactive effects of these variables. Both response surface methodology (RSM) and artificial neural network-genetic algorithm (ANN-GA) were used to predict the PQQ production and to optimize the medium composition. The results showed that the medium optimized by ANN-GA was better than that by RSM in maximizing PQQ production and the experimental PQQ concentration in the ANN-GA-optimized medium was improved by 44.3% compared with that in the unoptimized medium. Further study showed that this ANN-GA-optimized medium was also effective in improving PQQ production by fed-batch mode, reaching the highest PQQ accumulation of 232.0 mg/L, which was about 47.6% increase relative to that in the original medium. The present work provided an optimized medium and developed a fed-batch strategy which might be potentially applicable in industrial PQQ production.