|
|
|
|
| |
|
|
Pacheco-Sanchez,Cristiana de Paula; Massaguer,Pilar Rodriguez de. |
Brazilian Ultra High Temperature (UHT) milk consumption has increased during the last decade from 187 to 4,200 million liters. In the continuous UHT process, milk is submitted for 2-4 s to 130-150ºC, in a continuous flow system with immediate refrigeration and aseptical packing in hermetic packages. This research had the purpose to verify the incidence of B. cereus species from the B. cereus group, in UHT milk. In 1998 high indexes of these organisms were reported, reaching 34.14% of the analyzed samples. Beyond this fact, there was the need to establish methods and processes adjusted for correct identification of B. cereus. Thus, commercial sterility tests of 6,500 UHT milk packages were investigated in two assays, after ten days incubation at 37ºC and... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: FTIR; PCR; Commercial sterility; Statistical analyses. |
Ano: 2007 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000200008 |
| |
|
| |
|
| |
|
| |
|
|
Matias,Filipe Inácio; Sabadin,José Felipe Gonzaga; Moreira,Lílian Angélica; Gomes,Marcos Henrique Feresin; Mira,Acácio Bezerra de; Fritsche-Neto,Roberto; Otto,Rafael. |
ABSTRACT New apps have changed the traditional way of learning and teaching; they are also applied as a quickly executed and effective method in agriculture. Soil-app is a web application with a friendly click-point interface built through packages lodged in R software. The app is an advanced model of an open-source platform to support teaching and learning activities in soil analyses and fertilizer recommendations. Soil-app includes soil test interpretation, soil amendment calculations (lime and gypsum), the fertilizer rate for the most important crops in Brazil, an NPK blend calculator, and NPK blend evaluation. It also includes experimental statistical analysis as applied to soil science. Soil-app is a user-friendly and high-performance tool, garnering... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Software; Fertilizers; Recommendation; Prediction; Statistical analyses. |
Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000101404 |
| |
|
|
|