Rice is a commonly consumed food staple for many Asian and Pacific cultures thus, nutrient enrichment of rice has the potential to increase nutrient intakes for these populations. The objective of this study was to determine the levels of enrichment nutrients (ie, thiamin, niacin, iron, and folic acid) in white rice found in Guam, Saipan (Commonwealth of the Northern Mariana Islands), and Oahu (Hawaii). The proportion of white rice that was labeled "enriched" varied by type, bag size, and location. Most long-grain rice was labeled as enriched and most medium-grain rice was not. Bags of either type weighing >10 lb were seldom labeled as enriched in Hawaii or Saipan. Samples of various types of rice were collected on these three islands (n=19; 12 of which were labeled as enriched) and analyzed for their content of enrichment nutrients. Rice that was labeled as enriched in Hawaii and Guam seldom met the minimum enrichment standards for the United States. For comparison, three samples of enriched rice from California were also analyzed, and all met the enrichment standards. Food and nutrition professionals who are planning or evaluating diets of these Pacific island populations cannot assume that rice is enriched.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761840 | PMC |
http://dx.doi.org/10.1016/j.jada.2009.07.008 | DOI Listing |
Mikrochim Acta
January 2025
Department of Analytical Chemistry, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, 4 Pasteur Street, 400349, Cluj-Napoca, Romania.
A label-free, flexible, and disposable aptasensor was designed for the rapid on-site detection of vancomycin (VAN) levels. The electrochemical sensor was based on lab-printed carbon electrodes (C-PE) enriched with cauliflower-shaped gold nanostructures (AuNSs), on which VAN-specific aptamers were immobilized as biorecognition elements and short-chain thiols as blocking agents. The AuNSs, characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM), enhanced the electrochemical properties of the platform and the aptamer immobilization active sites.
View Article and Find Full Text PDFSci Rep
January 2025
School of Biosciences, University of Nottingham, Sutton Bonington, LE12 5RD, UK.
Tropical peatlands are carbon-dense ecosystems that are significant sources of atmospheric methane (CH). Recent work has demonstrated the importance of trees as an emission pathway for CH from the peat to the atmosphere. However, there remain questions over the processes of CH production in these systems and how they relate to substrate supply.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain.
The proteomic analysis of serum extracellular vesicles (EVs) could be a useful tool for studying the pathophysiology of Crohn's disease (CD) and ulcerative colitis (UC), as well as for biomarker discovery. To characterize the proteomic composition of serum EVs in patients with CD and UC to identify biomarkers and molecular pathways associated with pathogenesis and activity. Methods: Serum EVs were enriched and analyzed in patients with quiescent CD, active CD (aCD), quiescent UC, active UC (aUC), and healthy controls (HCs) (n = 30 per group).
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Biomedical Engineering, Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA.
Cell surface receptors are pivotal to cancer cell transformation, disease progression, metastasis, early detection, targeted therapy, drug responses, and clinical outcomes. Since they coordinate complex signaling communication networks in the tumor microenvironment, mapping the physical interaction partners of cell surface receptors in vivo is vital for understanding their roles, functional states, and suitability as therapeutic targets. Yet traditional methods like immunoprecipitation and affinity purification-mass spectrometry often fail to detect key but weak or transient receptor-protein interactions.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Gynecologic Oncology and Reproductive Medicine, Unit 1362, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)-stained tumor samples using spatial transcriptomic data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!