2017
DOI: 10.14450/2318-9312.v29.e3.a2017.pp181-198
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Enzimas Vegetais: Extração E Aplicações Biotecnológicas

Abstract: The manuscript describes the current analytical methodologies used in obtaining plant enzymes for biotechnological applications. The isolation and partial purification methods are reported, summarized in chromatographic electrophoretic techniques. The importance of these enzymes in biotechnology research, with a focus on its applications, characteristics and peculiarities, are emphasizing either. With regard to the applicability, the article brings several examples in food production, manufacturing and product… Show more

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Cited by 3 publications
(4 citation statements)
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“…Moreover, these enzymatic extracts have an extremely low cost, when compared to isolated enzymes. In this context, PPO-containing extracts are optimal for phenolic pollutant assessment [ 11 , 21 , 22 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, these enzymatic extracts have an extremely low cost, when compared to isolated enzymes. In this context, PPO-containing extracts are optimal for phenolic pollutant assessment [ 11 , 21 , 22 ].…”
Section: Resultsmentioning
confidence: 99%
“…Concerning phenolic pollutant analysis, biosensors are promising tools for their assessment, hence the enhanced selectivity of these devices, as well as fast analysis and low equipment cost. This kind of sensor is based on an enzymatic matrix, which provides process flexibility as the matrix organic portion can be altered according to the desired substrate under analysis [ 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the great advances of biotechnology and electrochemical sciences have allowed the fabrication of selective and suitable devices at low cost [3,4,5,6]. …”
Section: Introductionmentioning
confidence: 99%
“…Thus, the use of plant enzyme-based biosensors can enable improved analysis since it provides speed, selectivity, and low cost [3,5,6]. …”
Section: Introductionmentioning
confidence: 99%