enzymatic liquefaction
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2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Siti Faridah Mohd Amin ◽  
Roselina Karim ◽  
Yus Aniza Yusof ◽  
Kharidah Muhammad

The demand for vegetable powder has been escalating considerably due to its various health benefits and higher shelf life compared to fresh green leafy vegetables. Thus, much research emphasised manufacturing vegetable powder at a lower operational cost and higher efficiency while preserving the nutritive values of the vegetables. In this study, zinc- (Zn-) amaranth puree was liquefied with three types of cell wall degrading enzymes (i.e., Viscozyme L, Pectinex Ultra SP-L, and Rapidase PAC) with varying concentrations (0–3% v/w) and incubation time (0.5–24 h) at pH 5 and 45°C before the drying process. The results showed that enzymatic liquefaction using 1% (v/w) of Viscozyme L for 3 h was the optimal procedure for the reduction of the viscosity of the puree. The liquefied puree was then microencapsulated through either spray- or freeze-drying with different wall materials, e.g., 10% of maltodextrin (MD) DE 10, resistant maltodextrin (RMD), N-octenyl succinate anhydride (OSA) starches from waxy maize, HI CAP 100 (HICAP), Capsul (CAP), and gum Arabic (GA). The results showed that all freeze-dried powders generally had higher process yield (except for that encapsulated by HICAP), higher moisture content (but similar water activities), higher retention of total Zn-chlorophyll derivatives, lower hygroscopicity with slab-like particles, larger particle size, and lower bulk density than those of spray-dried powders. In contrast, the spray-dried powders exhibited irregular spherical shapes with relatively high encapsulation efficiency and antioxidant activities. Nonetheless, encapsulation using different wall materials and drying methods had no significant effect on the powder’s cohesiveness and flowability.


Author(s):  
Antonio Clemente ◽  
Alejandra Alba-Patiño ◽  
Giulia Santopolo ◽  
Estrella Rojo-Molinero ◽  
Antonio Oliver ◽  
...  

The Analyst ◽  
2021 ◽  
Author(s):  
Antonio Clemente ◽  
Alejandra Alba-Patiño ◽  
Giulia Santopolo ◽  
Enrique Barón ◽  
Estrella Rojo-Molinero ◽  
...  

IL-6 immunodetection in respiratory samples is boosted using an enzymatic method for liquefying samples prior to analysis. This increases the predictive power of lung IL-6 as a biomarker of respiratory function.


ACS Sensors ◽  
2020 ◽  
Vol 5 (12) ◽  
pp. 3956-3963
Author(s):  
Antonio Clemente ◽  
Alejandra Alba-Patiño ◽  
Estrella Rojo-Molinero ◽  
Steven M. Russell ◽  
Marcio Borges ◽  
...  

2016 ◽  
Vol 101 (3) ◽  
pp. 1111-1120 ◽  
Author(s):  
Jung Hyun Kim ◽  
Eun Ju Yun ◽  
Nari Seo ◽  
Sora Yu ◽  
Dong Hyun Kim ◽  
...  

2015 ◽  
Vol 198 ◽  
pp. 488-496 ◽  
Author(s):  
M.J. Cardona ◽  
E.J. Tozzi ◽  
N. Karuna ◽  
T. Jeoh ◽  
R.L. Powell ◽  
...  

2013 ◽  
Vol 37 (2) ◽  
pp. 173-181 ◽  
Author(s):  
Jian Du ◽  
Fazhan Zhang ◽  
Yuanyuan Li ◽  
Hongman Zhang ◽  
Jingrui Liang ◽  
...  

Author(s):  
Ion Dan MIRONESCU ◽  
Monica MIRONESCU

This paper investigates the use of the Petri Net modelling language for the description and analysis of the enzymatic reactions that are used for the starch liquefaction. The Coloured Petri Net formalism supported by the CPN Tools modelling and simulation environment is used. The pools of substrates and products are represented as the places and the possible reactions as the transition of the net. The concurrent reactions are modelled trough transitions that are enabled at the same time. The occurrence probabilities associated with each of these concurrent transitions are chosen as the model parameters. The analysis of the specific properties of the model is used to fit the model to data from the industrial production process using the enzyme Liquozyme for the starch hydrolysis.


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