公开(公告)号：US20240170106A1

公开(公告)日：2024-05-23

申请号：US18517625

申请日：2023-11-22

申请人： PETRÓLEO BRASILEIRO S.A. – PETROBRAS ,  UNIVERSIDADE FEDERAL DE GOIÁS - UFG

发明人： IRIS MEDEIROS JUNIOR ,  GABRIEL FRANCO DOS SANTOS ,  ALEXANDRE DE OLIVEIRA GOMES ,  BONIEK GONTIJO VAZ ,  GESIANE DA SILVA LIMA ,  DEBORAH VICTÓRIA ALVES DE AGUIAR ,  JUSSARA VALENTE ROQUE

IPC分类号： G16C20/30 ,  G01N33/28 ,  G16C20/70

CPC分类号： G16C20/30 ,  G01N33/2876 ,  G16C20/70

摘要： The present disclosure refers to the use of very high resolution mass spectrometry analysis methodology in combination with the use of multivariate calibration models to predict Total Acidity Number (TAN). The models are built from data of total abundance value with the application of machine learning methods for regression.

公开(公告)号：US20220057361A1

公开(公告)日：2022-02-24

申请号：US17406419

申请日：2021-08-19

申请人： PETRÓLEO BRASILEIRO S.A. - PETROBRAS ,  UNIVERSIDADE FEDERAL DE GOIÁS - UFG

发明人： KARIOLANDA CRISTINA DE ANDRADE REZENDE ,  WENDELL KARLOS TOMAZELLI COLTRO ,  IRIS MEDEIROS JUNIOR

IPC分类号： G01N27/49 ,  G01N27/30

摘要： The present invention discloses a portable system comprised of an electrochemical cell for batch injection analysis (BIA) coupled to a copper oxide electrode for the selective determination and quantification of monoethylene glycol (MEG) from different petrochemical samples with application in the environment laboratory and in field analyses, aiming at the quality control of these samples by portable methodology and in a short analysis time.