This study assesses the impact of the farming system on the levels of copper, zinc, arsenic, cadmium, lead and mercury in pig tissues from three types of production (Organic (n = 28), Label Rouge (n = 12) and Conventional (n = 30)) randomly sampled in different slaughterhouses. All the concentrations were below regulatory limits. In muscles, Cu, Zn and As were measured at slightly higher levels in organic samples but no differences between organic and Label Rouge was observed. Livers from conventional and Label Rouge pig farms exhibited higher Zn and Cd contents than the organic ones, probably due to different practice in zinc or phytase supplementation of fattening diets. Principal component analysis indicated a correlation between Cu and As concentrations in liver and carcass weight, and between Zn and Cd liver levels and lean meat percentage. The linear discriminant analysis succeeded in predicting the farming process on the basis of the lean meat percentage and the liver Cd level.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.meatsci.2018.02.008 | DOI Listing |
Exp Psychol
January 2025
Department of Psychology, Louisiana State University, Baton Rouge, LA, USA.
Anal Chem
December 2024
Department of Chemistry, The University of Kansas, Lawrence, Kansas 66045, United States.
We are developing a unique protein identification method that consists of generating peptides proteolytically from a single protein molecule (i.e., peptide fingerprints) with peptide detection and identification carried out using nanoscale electrochromatography and label-free resistive pulse sensing (RPS).
View Article and Find Full Text PDFVet Comp Oncol
December 2024
Radiogenomics Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Comput Med Imaging Graph
January 2025
Univ Lyon, INSA-Lyon, Universite Claude Bernard Lyon 1, CREATIS, Lyon, France.
Segmentation in medical imaging is an essential and often preliminary task in the image processing chain, driving numerous efforts towards the design of robust segmentation algorithms. Supervised learning methods achieve excellent performances when fed with a sufficient amount of labeled data. However, such labels are typically highly time-consuming, error-prone and expensive to produce.
View Article and Find Full Text PDFClin Pract Cases Emerg Med
November 2024
Atrium Health's Carolinas Medical Center, Department of Emergency Medicine, Division of Medical Toxicology, Charlotte, North Carolina.
Introduction: Metallic luster dusts are decorative agents for cakes and other confections. While some powders are labeled "non-edible," they are also marketed as "non-toxic." We present a case of a child who developed acute metal pneumonitis after accidental aspiration of metallic luster dust.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!