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Brazilian Archives of Biology and Technology

Print version ISSN 1516-8913On-line version ISSN 1678-4324

Braz. arch. biol. technol. vol.48 no.spe Curitiba June 2005

http://dx.doi.org/10.1590/S1516-89132005000400023 

FOOD SCIENCE AND TECHNOLOGY

 

Optimization of drying process of Zea Mays malt to use as alternative source of amylolytics enzymes

 

 

Joana Paula Menezes BiazusI; Anderson Gomes SouzaI; José Carlos Curvelo SantanaII; Roberto Rodrigues de SouzaI, *; Elias Basile TambougiII

IDepartamento de Engenharia Química; Universidade Federal de Sergipe; Cidade Universitária Prof. José Aloísio de campos, s/n; Rosa Elze; 49100-000; rrsouza@ufs.br; São Cristovão - Sergipe - Brasil
IIDESQ ; Universidade Estadual de Campinas; Cidade Universitária Prof. Zeferino Vaz; Barão Geraldo, Campinas - SP - Brasil

 

 


ABSTRACT

This work aimed to study the drying process optimization of maize (Zea Mays) malt for obtaining maize malt, without affecting enzymatic activity of a e b-amylases from maize malt. Results showed that dryer operation must occur in zone at 54°C and 5.18-6 h process time. The maize malt obtained had good enzymatic properties.

Key words: a and b -amylases enzymes, maize (Zea mays) malt; drying process, optimization


RESUMO

Este trabalho objetivou a otimização da secagem do malte de milho (Zea Mays) para obter um malte sem afetar a atividade das enzimas presentes neste, a e b -amilases. Os resultados mostraram que a operação do secador deve ser feita a 54°C e entre 5,18-6 h de processo. O malte obtido possuiu boas propriedades enzimáticas.


 

 

INTRODUCTION

Drying process is used with the aims to keep the enzymatic activity of agricultural products. It involves removal of volatile substances (commonly, but not exclusively, water) from a solid product, or it is a process in whith the water activity of a product is decreased due to removal of water by vaporization. Thus, the drying process is the conjuct of science and technology that needs of experiments on several phenomenons that occur in this process (Jesus, 2002). Some considerations about the initial and moisture content of product are used to justify the drying phenomenon. These considerations are the form of the water transport into solid structure and in the solid surface (Brod, 2003).

In 1998, a transporter type dryer straw mat was made by Freire and Sartori with aim to analyze its behavior in the drying process of the Brachiaria brizantha grass seeds. They evaluated the drying kynetics and the process effect on the seed quality (germination power). They concluded that the dryer was viable and the quality test showed that the grass seeds dryed at temperatures more or equal to 48.5 ºC had low germination power.

Of late, the use of enzymes in feeding, pharmaceutics, textile and others industries is increased for being economicaly viable. They are also used in the manufacture of alcoholic drinks, detergent, biosensors, diagnostic kits and in the management of environment polluents (Jesus, 2002). The a and b - amylases are commercial enzymes used its many applications, mainly in the starch hydrolyses (Fogarty and Kelly, 1979; Wiseman, 1987). They are obtained commonly from barley malt or microorganisms.

a-amylase (EC 3.3.1.1; a-1,4 glucan, 4 - glucanhydroxilase) is extracellulas enzyme that hydrolyses of the a-1,4 bonds, of the amylose, amylopectin, glycogen and dextrin molecules, but can not hydrolyses a-1,6 bonds. It has molecular weight about 50 kDa, with isoelectric point 5.4, very good enzymatic activity about pH 4.7 and 75 °C (prorerties enzymes dependes from source) (Reguly, 1996; Wiseman, 1987).

b-amylase (EC 3.2.1.1, a-1,4, glucanmalthydrolase) is a extracellulas enzyme that hydrolyses of amylopectin and glycogen, breaking each second a-1,4 bond. It has molecular weight about 50 kDa, with isoelectric point 5.4, very good enzymatic activity about pH 4.5-6.5 and 55-57 °C, it inactived after temperatures above of 60 °C (Reguly, 1996; Wiseman, 1987).

Maize (Zea mays) is a agricultural product very popular in Brazil that has low cost price. Thus, the maize malt obteining will go aggregate valor to maize culture. This work aimed study the drying process optimization of maize malt obtaining by response surface methodology (RSM).

 

MATERIALS AND METHODS

Maize malt obtaining

The maize seeds were selected, their weight was measured, washed, the seeds were carried to water absorption until 40- 45 % (w/w) and germinated in laboratory. The germination time was between 4-5 days. The maize malt was dried as show in Table 2 and storaged at 5 °C (Santana, 2003).

 

 

 

 

Drying process methodology

Convective dryer with air circulation was used in maize malt drying process. Dryer was operated in constants condictions of temperature, relative moisture (64 ± 1%) and air flux. Tree drying temperatura were utilized 54, 64 e 76°C. The germinated seeds (malt) were placed in watch glass (previously dried and its weight measured). The initial weight (X0) were measured and they were dried for 12 h into dryer. Dry weight (Xi) were measured after each hour. The moisture content (U) is given to equation 1 and experimental weight (Xexp) is given to equation 2 (Freire e Sartori, 1998; Jesus, 2002), bout are sown at following:

Determination of protein total concentration

Protein concentration in samples was measured by Bradford method (Bradford, 1976).

Enzymatic activity analysis

In maize malt samples the enzymatic activity was determined by Wohlgenuth method, modified by Sandstedt, Kneen and Blish (1959), showed of according to Reguly (1996). A SKB is amongh of starch content dextrinized for one hours and one gram of amylase.

Drying process optimization

The influence of the time (t) and temperature (T) on drying process on the enzymatic activity (AE) of the maize malt was studied by 22 experimental planning with hexagon design (showed in Table 2) and response surface methodology (RSM) for optimization of drying process. The enzymatic activity was shown in ln AE form in the models. Linear, hiperbolic and square models were tested. The least square were used to estimate the madel parameters and the model fitting were made by analysis of variance methodology (ANOVA), all showed in Barros Neto et al., 1995 and 2001). The following variables codifications were used:

 

RESULTS AND DISCUSSION

Drying process

Table 1 showed the eperimental weight of the malted seed at different drying time and temperatures. Results showed that the moisture content was between 40 at 43 % (w/w), and more high moisture desorption rate was shown at 75°C.

Drying ishotems showed in the Fig. 1 were obtained with the data of Table 1. Dry weight began to become constant between 3-4 hours. In this moment, the drying curves showed paralels to the time axias (Brod, 2003; Freire e Sartori, 1998; Jesus, 2002).

 

 

Drying process optimization

Table 2 showed the assays, the factors in the normal (t and T) and coded form (x1 and x2) and the response (AE). These data were used for obtaining models parameters by least square and for fitting model by ANOVA methodology (Barros Neto et al., 1995).

The fitting model is shown in the equation 3, that one introduces a square dependence of enzymatic activity (in ln AE form) with the drying time and temperature. There is a low influence of linear time and negative high of linear temperature, but all parameters have statistical significants.

Table 3 shown the resulties of variance analysis (ANOVA) for the fitting model. According to Barros Neto et al. (1995 and 2001) R2 must have valor about 1.0 and the variances must have valors about 100. Resulties ANOVA for the variances and R2, showed that there was low error quantity added to the fitting model due to regression and due to the employ of the analytical methods.

 

 

Resulties of the F test, whole the first test (Fcalc/Ftab) indicated that the model was statistical significant and the predict data were approaching the experimental data. The second test (Ftab/Fcalc) indicated that the data were fitting and they were statiscal representing the response surface. For the F tests are statistical considerate the rate much be igual or more that 4 (Barros Neto et al., 1995). According to Barros Neto et al. (1995) bout F teste must be > 4 for the model is statistical significant and preditive. Resulties showed that the model was statiscal significant, but it was not full predictive for optimize of the drying process of maize malt, in the studied condictions (Barros Neto et al., 1995 e 2001).

Figs. 2 and 3 show the 2D and 3D response surfaces for the drying process optimization. Enzymatic activity (on lnAE form) increased with reduction of the drying time and temperature. If the time factor was fixed in the minor valors (-1 at -1.41 or 5.18 at 6 h) and the temperature factor was augmented to the maximum value (+1 or 76 °C), there was a high reduction in the enzymatic activity, however, if the temperature in the minimum value (-1 or 54°C) and time was changed of minimum value (-1,41 or 5,18 h) until the maximum value (+1,41 or 10,8 h), the enzymatic activity was little loss, which shown that temperature effect was critical for the drying process of maize malt. This temperature effect on the enzymatic activity occurs due to previous inactivation the b-amylases after it exposes above 54°C. Thus, for response surface analysis may be indicated optimal operation condition for maize malt drying process was 54°C and 5.18-6 h of drying time.

 

 

 

 

CONCLUSIONS

The analysis of the results carried the following conclusions:

Drying process data showed that moisture removal from maize malt was above 40 % (w/w).

The drying isotherms were shown that moisture desorption rate was fixed after 3-4 h of drying process.

The variance analysis (ANOVA) showed that the best fitting model was the that having to square dependency of the enzymatic activity, in lnAE form, with the drying time (t) and the temperature (T).

The response surface analysis showed that influence of drying temperature on enzymatic activity was more than drying time and the best operation condition was 54°C and 5.18-6 h for the maize malt drying process.

 

NOMENCLATURE

 

ACKNOWLEDGEMENT

The authors gratefully acknowledge CNPq and PIBIC/ CNPq-UFS for finantial support.

 

REFERENCES

Ascar, J. M. (1995), Alimentos: Aspectos Bromatológicos e Legais. Analise Percentual. São Leopoldo : UNISINOS Editora. v. 1. pp. 243-252.        [ Links ]

Barros Neto, B.; Scarminio, I. S. and Bruns, R. E. (2001), Como Fazer Experimentos: Pesquisa e Desenvolvimento na Ciência e na Indústria. Campinas: EDUNICAMP. pp. 406. (Coleção Livros - Textos; 1).        [ Links ]

Barros Neto, B.; Scarminio, I. S. and Bruns, R. E. (1995), Planejamento e Otimização de Experimentos. Campinas : EDUNICAMP. pp. 302. (Série Manuais).        [ Links ]

Bradford, M. M. (1976), A Rapid and Sensitive Method for the Quantitation of Microgram Quantities of Protein. Utilizing the Principle of Protein-Dye Binding. Anal. Biochem., 72, 248-254.        [ Links ]

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Jesus, S. S. (2002), Desenvolvimento e Análise do Processo de Secagem de a-amilase por Microondas à Vácuo. MSc Thesis, Campinas -SP: FEQ/ UNICAMP. pp. 13-15.        [ Links ]

Reguly, J. C. (1996), Biotecnologia dos Processos Fermentativos. EDUFPel. v. 1.        [ Links ]

Santana, J. C. C. (2003), Recuperação das Enzimas a e (-amilases em Sistema Bifásico Aquoso PEG/ CaCl2 para Uso como Biocatalizador de Amiláceos. MSC Thesis, Campinas -SP, FEQ/ UNICAMP. pp. 232.        [ Links ]

Sigma Chemical Company Cataloge. (1996), Biochemicals Organic Compounds and Diagnostic Reagents. pp. 116-117.        [ Links ]

Wiseman, A. (1987), Handbook of Enzyme Biotechnology. 2. ed. New York, EUA : John Wiley Sons.        [ Links ]

 

 

Received: September 29, 2004;
Revised: February 25, 2005;
Accepted: March 25, 2005.

 

 

* Author for correspondence

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