Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Lantbruks- och trädgårdsföretagarnas egen forskningsstiftelse finansierar behovsdriven forskning för svenska förhållanden.
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Status: | Pågående |
Projektnummer: | O-18-20-174 |
Kategori: | Focus area | Food & feed |
Branschområden: | Matfågel Kött |
Ansökningsår: | 2018 |
Datum för slutrapport: | 30 juni 2023 |
Huvudsökande: | Carl Brunius |
Organisation: | Carl Brunius |
E-postadress: | carl.brunius@chalmers.se |
Telefon: | +46317726823 |
Medsökande: | Theres Strand |
Medsökande: | Anders Karlsson |
A cornerstone of the Swedish Food Strategy is trust in Swedish food production. Yet each year Swedish farmers and food processors lose both money and trust due to food fraud, especially for non-Swedish meat relabelled as Swedish. Most fraud remains undetected. A recent analytical development, Rapid Evaporative Ionisation Mass Spectrometry (REIMS) detects small changes in food composition based on 100s of lipids within a few seconds of making a direct measurement of a sample. Our initial tests on differentiating the same cut of meat from different countries is promising. We will develop new methods based on REIMS to ensure robustness required for long-term food testing, using beef, pork, lamb, horse and chicken meat as model systems to characterise the potential and limitations for species and origin determination. We will develop a workflow that will make REIMS easy to use in industry and testing labs making food fraud easier to detect, and ensuring continued trust in Swedish food.
Livsmedelsstrategin lyfter särskilt tilltron till svensk livsmedelsproduktion som en nyckelparameter för framgång, men tilltron hotas av matfusk. Största delen av matfusket upptäcks inte p.g.a. långsamma mätmetoder. En ny uppfinning inom masspektrometri kan vara en lösning: ’Rapid Evaporative Ionisation Mass Spectrometery’ (REIMS) kan detektera hundratals lipider i obehandlade prover inom bara några få sekunder. Våra preliminära data tyder på att detta är en mycket lovande teknik för att skilja mellan kött av samma typ från olika länder, men den enorma potentialen för REIMS inom livsmedelskvalitetsanalys har ännu inte utvärderats. Vi kommer att utveckla nya REIMS-baserade metoder, med särskilt fokus på att säkerställa långsiktig robusthet. Nöt, gris, lamm, häst och kycklingkött kommer ändvänds som modellsystem för att undersöka denna tekniks möjligheter och begränsningar för upptäck av art- och ursprung av kött och därefter utveckla robusta arbetsflöden för snabbt upptäckt av matfusk.
Projektnummer: JTI-21-83-606 • Status: Pågående • Ansökningsår: 2021
The overall purpose of the project is to generate a base for recommendations for construction of new subsurface drainage and re-drainage of clay soils in the area Water - resource efficient management. Efficient drainage of arable land is important to increase crop production, to achieve …
Läs merProjektnummer: JTI-20-83-494 • Status: Pågående • Ansökningsår: 2020
For sustainable future development, it is essential to recirculate plant nutrients from different parts of society,
especially sewage plants, back to arable land. The aim of the proposed project is to ensure that high-quality fertiliser
products attractive for agricultural use are produced from …
Projektnummer: R-18-26-131 • Status: Pågående • Ansökningsår: 2018
In the proposed project, we will explore the benefits of increasing the longevity of dairy cows under Swedish conditions by changes in herd management. We will focus on effects on methane emissions by modelling, using existing data from the Swedish Official Milk Recording Scheme and results from an …
Läs merProjektnummer: O-20-23-461 • Status: Pågående • Ansökningsår: 2020
The purpose of this project is to investigate to what extent substances in algae inhibit microbial methane formation in cows. Several substances, so-called bioactive substances, in red, green and brown algae, have a significant methane reducing effect. These are promising results but in order to …
Läs merProjektnummer: O-20-23-462 • Status: Pågående • Ansökningsår: 2020
The goal of the project is to digitize the data from the Swedish official field trials through automated estimates of important traits such as germination, growth, resistance, maturity and the effect of plant protection products. The purpose is to streamline and improve scoring of both diseases but …
Läs merProjektnummer: R-19-25-287 • Status: Pågående • Ansökningsår: 2019
The purpose of this project is to develop new non-chemical methods for control of different seedborne-and soilborne pathogens. Aerated steam treatment (ThermoSeed) is a modern and environmentally friendly method for seedborne pathogen sanitation, mainly used on cereals. We intend to develop the …
Läs merProjektnummer: R-18-26-134 • Status: Pågående • Ansökningsår: 2018
Food production needs to increase in a sustainable way. This great challenge requires evaluation methods that gives information for better understanding of the impacts from agriculture and food and how to manage those impacts. The project addresses methodologies that include a broad range of …
Läs merProjektnummer: R-18-26-005 • Status: Pågående • Ansökningsår: 2018
The sensory attributes of the raw milk are of major importance for the quality of the resulting dairy products. Since the early 90’ies, the so-called “blueberry off-flavour” has caused severe economic consequences for affected dairy farmers. The mechanism behind is still unclear, although forages …
Läs merProjektnummer: O-18-20-174 • Status: Pågående • Ansökningsår: 2018
A cornerstone of the Swedish Food Strategy is trust in Swedish food production. Yet each year Swedish farmers and food processors lose both money and trust due to food fraud, especially for non-Swedish meat relabelled as Swedish. Most fraud remains undetected. A recent analytical development, Rapid …
Läs merProjektnummer: O-18-23-169 • Status: Pågående • Ansökningsår: 2018
Conventional technology is virtually unable to measure complete GHG budgets of drained organic soils, which may provide misleading results. So, global estimates of GHG emissions are based on coarse assumptions that don’t take into account the complexity of agroecosystems. Better data are needed for …
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