scholarly journals Application of Recombined Milk to Produce Crescenza-Type Cheese in Laboratory-Scale Cheesemaking: Implications on Technology and Sensory Properties

Foods ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 928 ◽  
Author(s):  
Flavio Tidona ◽  
Salvatore Francolino ◽  
Roberta Ghiglietti ◽  
Francesco Locci ◽  
Gianluca Brusa ◽  
...  

This work evaluated the effect of recombined skimmed milk (RM), mixed in different ratios (40, 60, and 100%) with fresh cow milk, on the processing technology and quality of Crescenza, an industrial soft cheese of the Italian dairy tradition. Crescenza-type cheeses were produced at a laboratory scale, following the industrial process. Control cheese consisted of Crescenza-type cheese produced with 100% whole fresh milk. Compared to control cheese, the substitution of fresh milk with 60–100% of RM deteriorated the coagulation properties and led to a higher moisture retention, whereas, with 40% of RM, the differences were not statistically significant. Cheeses produced with any concentration of RM, although of acceptable quality, differed significantly in terms of sensory properties from control cheese. The addition of colloidal calcium phosphate, or CaCl2 together with a reduction in the size of the curd at cutting, minimized the differences in composition and sensory properties between cheeses produced with 40% RM and control cheese. This study suggested the applicability of 40% RM to obtain Crescenza-type cheese with suitable quality characteristics. The type of product, the technology, the quality, and quantity of the powders are all key factors to be taken into account for a successful application.

Author(s):  
James J. Govindhasamy ◽  
◽  
Seán F. McLoone ◽  
George W. Irwin ◽  
John J. French ◽  
...  

Reinforcement learning, in the form of Adaptive Critic Designs (ACDs), have the ability to analyse or evaluate a situation and respond to it accordingly. They offer an excellent alternative for adaptively controlling and optimising the highly nonlinear processes found in industry. Here, an enhanced implementation of the action dependent adaptive critic design (ADAC) of Si and Wang [9] is investigated for modelling and control of an industrial grinding process used in the manufacture of hard disk drive platters. This study, one of the first reported industrial applications of this emerging technology, shows that the proposed ADAC control scheme can achieve a 33% reduction in platter rejects compared to an existing proprietary controller.


2017 ◽  
Vol 70 (4) ◽  
pp. 506-513 ◽  
Author(s):  
Georgia Dimitreli ◽  
Stylianos Exarhopoulos ◽  
Kleio K Antoniou ◽  
Anastasios Zotos ◽  
Vasileios A Bampidis

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