- Metabolomics and Mass Spectrometry Studies
- Proteins in Food Systems
- Nutritional Studies and Diet
- Food composition and properties
- Liver Disease Diagnosis and Treatment
- Cancer, Lipids, and Metabolism
- Veterinary Medicine and Surgery
- Traditional Chinese Medicine Studies
- Diet and metabolism studies
- Adipokines, Inflammation, and Metabolic Diseases
- Analytical Chemistry and Chromatography
- NMR spectroscopy and applications
- Ginseng Biological Effects and Applications
- Organic Food and Agriculture
- Wikis in Education and Collaboration
- Phytase and its Applications
- Legume Nitrogen Fixing Symbiosis
- Advanced Chemical Sensor Technologies
- Mass Spectrometry Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Food Waste Reduction and Sustainability
- Polysaccharides Composition and Applications
- Adipose Tissue and Metabolism
- Botanical Research and Chemistry
- Software Engineering Techniques and Practices
Swedish University of Agricultural Sciences
2017-2024
Starch and protein are major components in many foods, contributing to nutritional textural properties. Understanding how the behaviour interactions of these contribute different textures is important. In this study, mixed gel systems were created with ratios starch (constant solid content 12%) extracted from faba bean, a promising crop for locally produced plant-based foods cold climate regions. The starch-protein gels characterised terms pasting, texture microstructure. Starch-rich...
A key limiting step for high-throughput NMR-based metabolomics is the lack of rapid and accurate tools absolute quantification many metabolites. We developed, implemented, evaluated an algorithm, AQuA (Automated Quantification Algorithm), targeted metabolite from complex 1H NMR spectra. operates based on spectral data extracted a library consisting one standard calibration spectrum each metabolite. It uses preselected signal per determining concentrations does so by effectively accounting...
This study evaluated drivers and barriers in consumer willingness to purchase plant-based yoghurt analogues (PBYA) assessed the most important attributes of PBYA. Questionnaire data from 702 Swedish adults (19% vegan, 20% lacto-ovo-vegetarian, 21% flexitarian, 41% omnivore) showed that attitudes preferences regarding PBYA differed between consumers with different dietary preferences. Animal welfare was an driver for vegans, while interest trying new foods one main omnivores. All four groups...
Abstract Background Prostate cancer is the second most frequently diagnosed in men. Metabolomics can potentially provide new insights into aetiology of prostate by identifying metabolic risk factors. This study investigated prospective association between plasma metabolite concentrations and risk, both overall stratifying for disease aggressiveness baseline age. Methods In a case-control nested Northern Sweden Health Disease Study, pre-diagnostic 148 metabolites were determined using...
Abstract Introduction Hyperinsulinaemia and insulin resistance (IR) are strongly associated with obesity forerunners of type 2 diabetes. Little is known about metabolic alterations separately obesity, hyperinsulinaemia/IR impaired glucose tolerance (IGT) in adolescents. Objectives To identify combined IGT obese Methods 81 adolescents were stratified into four groups based on body mass index (lean vs. obese), responses (normal (NI) high (HI)) (NGT) IGT) after an oral test (OGTT). The...
Faba beans, rich in protein and ideal for Swedish cultivation, are limited food industry use due to anti-nutritional factors (ANFs) that hinder nutrient absorption. An extraction method was developed our study mitigate ANFs faba using aqueous alkaline methods isoelectric precipitation with differential salt concentration. This yielded 15.8 g of per 100 flour, a concentration exceeding 83% the total extract. It reduced like phytic acid (28.0%), lectins (87.5%), vicine (98.5%), convicine...
The prevalence of overweight is increasing in dogs, but the metabolic events related to this condition are still poorly understood. purpose study was investigate postprandial response plasma metabolites using a meal-challenge test and identify variations spontaneous overweightness privately owned dogs. Twenty-eight healthy male intact Labrador Retriever dogs were included, 12 which classified as lean (body score (BCS) 4–5 on 9-point scale) 16 (BCS 6–8). After an overnight fast (14–17 h),...
We have recently presented an Automated Quantification Algorithm (AQuA) and demonstrated its utility for rapid accurate absolute metabolite quantification in 1H NMR spectra which positions line widths of signals were predicted from a constant spectral library. The AQuA quantifies based on one preselected signal per employs library to model interferences other signals. However, some types spectra, the interspectral deviations can be pronounced; hence, cannot modeled using here address this...
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Abstract Introduction The Automated Quantification Algorithm (AQuA) is a rapid and efficient method for targeted NMR-based metabolomics, currently optimised blood plasma. AQuA quantifies metabolites from 1D- 1 H NMR spectra based on the height of only one signal per metabolite, which minimises computational time workload without compromising quantification accuracy. Objectives To develop fast computationally extension selected in highly complex samples, with minimal prior sample preparation....
Additional file 6. Associations with overall prostate cancer risk after stratification by follow-up time.