Chironji (Buchanania lanzan) fruit juice extraction using cellulase enzyme: modelling and optimization of process by artificial neural network and response surface methodology

[1]  R. Pradhan,et al.  Physical, chemical, textural, and thermal properties of cashew apple fruit , 2019, Journal of Food Process Engineering.

[2]  M. Alminger,et al.  Optimization of process parameters for mechanical extraction of banana juice using response surface methodology , 2019, Journal of Food Science and Technology.

[3]  N. Sit,et al.  Optimization of banana juice extraction using combination of enzymes , 2019, Journal of Food Science and Technology.

[4]  A. Asoodeh,et al.  Antioxidant and angiotensin-converting enzyme (ACE) inhibitory activity of thymosin alpha-1 (Thα1) peptide. , 2019, Bioorganic chemistry.

[5]  K. Rajendran,et al.  Artificial neural network–genetic algorithm-based optimization of biodiesel production from Simarouba glauca , 2019 .

[6]  M. Barzegar,et al.  Optimization of the enzyme‐assisted aqueous extraction of phenolic compounds from pistachio green hull , 2018, Food science & nutrition.

[7]  J. Mitra,et al.  Artificial neural network modeling and genetic algorithm optimization of process parameters in fluidized bed drying of green tea leaves , 2019, Journal of Food Process Engineering.

[8]  V. Anoop Kumar,et al.  Role of Cellulases in Food, Feed, and Beverage Industries , 2018, Energy, Environment, and Sustainability.

[9]  R. Pradhan,et al.  Optimisation of enzymatic extraction and characterization of palm (Borassus flabellifer) juice , 2018, Journal of Food Measurement and Characterization.

[10]  A. Usman,et al.  Physicochemical properties, antioxidant capacities, and metal contents of virgin coconut oil produced by wet and dry processes , 2018, Food science & nutrition.

[11]  Sanjeev Kumar,et al.  Buchanania lanzan Spreng (Chironji): A vulnerable multipurpose tree species in Vindhyan region , 2018 .

[12]  Sugandha,et al.  Enzymatic added extraction and clarification of fruit juices–A review , 2017, Critical reviews in food science and nutrition.

[13]  R. Pradhan,et al.  Optimization of process parameters for enhanced production of Jamun juice using Pectinase (Aspergillus aculeatus) enzyme and its characterization , 2016, 3 Biotech.

[14]  Prerna Khawas,et al.  Modeling and optimization of the process parameters in vacuum drying of culinary banana (Musa ABB) slices by application of artificial neural network and genetic algorithm , 2016 .

[15]  M. Z. Siddiqui,et al.  Evaluation of Phytochemicals, Physico-chemical Properties and Antioxidant Activity in Gum Exudates of Buchanania lanzan , 2016, Proceedings of the National Academy of Sciences, India Section B: Biological Sciences.

[16]  Eriola Betiku,et al.  Optimization of Bauhinia monandra seed oil extraction via artificial neural network and response surface methodology: A potential biofuel candidate , 2015 .

[17]  Y. Tyagi,et al.  Nutraceutical potential and phytochemical screening of Buchanania lanzan, an underutilized exotic Indian nut and its use as a source of functional food , 2015 .

[18]  Eriola Betiku,et al.  Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network , 2015 .

[19]  E. Aspé,et al.  An enzymatic extraction of proanthocyanidins from País grape seeds and skins. , 2015, Food chemistry.

[20]  S. De,et al.  Optimisation of low temperature extraction of banana juice using commercial pectinase. , 2014, Food chemistry.

[21]  Di Wu,et al.  Ultrasound-assisted extraction of phenolics from wine lees: modeling, optimization and stability of extracts during storage. , 2014, Ultrasonics sonochemistry.

[22]  Sugandha B. Sharma,et al.  Enzymatic extraction and clarification of juice from various fruits-A review , 2014 .

[23]  J. Maran,et al.  Artificial neural network and response surface methodology modeling in mass transfer parameters predictions during osmotic dehydration of Carica papaya L. , 2013 .

[24]  Runu Chakraborty,et al.  Brazilian Journal of Chemical Engineering STUDY ON FERMENTATION CONDITIONS OF PALM JUICE VINEGAR BY RESPONSE SURFACE METHODOLOGY AND DEVELOPMENT OF A KINETIC MODEL , 2012 .

[25]  R. Fontana,et al.  Clarification of fruit juices by fungal pectinases , 2011 .

[26]  Mohammad Noshad,et al.  Prediction of moisture content in pre-osmosed and ultrasounded dried banana using genetic algorithm and neural network , 2011 .

[27]  Mortaza Aghbashlo,et al.  Original paper: Optimization of an artificial neural network topology using coupled response surface methodology and genetic algorithm for fluidized bed drying , 2011 .

[28]  Zahra Emam-Djomeh,et al.  Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in the Prediction of Quality Parameters of Spray-Dried Pomegranate Juice , 2009 .

[29]  P. H. Heinemann,et al.  Optimization of Whole Milk Powder Processing Variables with Neural Networks and Genetic Algorithms , 2007 .

[30]  Mahiran Basri,et al.  Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester , 2007, BMC biotechnology.