Banca de QUALIFICAÇÃO: NAYARA LIZANDRA LEAL

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : NAYARA LIZANDRA LEAL
DATE: 30/03/2021
TIME: 08:30
LOCAL: Ambiente digital (online), videoconferência
TITLE:

DEVELOPMENT OF A BIOREMEDIATION PROCESS FOR EFFLUENTS FROM THE MILK INDUSTRY

KEY WORDS:

Ricotta whey; bioremediation, Chemical oxygen demand; Lactobacillus plantarum, response surface methodology

PAGES: 69
BIG AREA: Multidisciplinar
AREA: Biotecnologia
SUMMARY:

Ricotta whey is a co-product of the dairy industry and has a high polluting potential, as the organic matter load is very high and there is an excess of nutrients such as lactose, potassium, fats and proteins, and a high chemical oxygen demand ( COD). Bioremediation has been widely indicated for the treatment of dairy residues and this technology makes use of microorganisms or their enzymes to convert the polluted environment into its original condition. The objective of the present study was to study a bioremediation process for the dairy industries to treat their waste in an efficient and environmentally friendly manner, with low cost. The homofermentative lactic acid bacteria Lactobacillus. plantarum was used in this work to reduce COD from the degradation of organic matter, especially lactose and ricotta whey protein. An optimization study was carried out, in which the effects of the factors pH, amount of inoculum and agitation and their interactions on the variables response to the reduction in chemical oxygen demand (COD), lactose content and protein content were evaluated. It was possible to observe that the greatest reduction in COD (%) was 72%, the greatest reduction in lactose was 80% and the greatest reduction in protein content was 90%. The optimal values of the selected variables to achieve the efficiency of the response reduction were the use of a system without agitation and with an inoculum of 104 CFU / mL. The pH had no influence on any of the responses. The results indicate that the bioprocess under development can be promising for the application in the bioremediation of milk effluents. It is expected to complete the optimization process and obtain validated predictive models for the bioprocess.

BANKING MEMBERS:
Presidente - 1757978 - DANIEL BONOTO GONCALVES
Interno - 1675931 - PAULO AFONSO GRANJEIRO
Interno - 1367304 - ALEXSANDRO SOBREIRA GALDINO
Externa ao Programa - 1719911 - JULIANA TEIXEIRA DE MAGALHAES
Externa à Instituição - ALINE DIAS PAIVA - UFTM
Externo à Instituição - RONEY ALVES DA ROCHA - UFLA
Externo à Instituição - LEANDRO DA CONCEIÇÃO LUIZ