- Technical assistance and studies
Shelf life studies
Ensure legal compliance with consumer information requirements and the demands of various voluntary certifications (BRC, IFS)
Companies must ensure that products are safe and that they maintain their organoleptic, nutritional and functional properties throughout the entire period of distribution and use.
This is required by current legislation on food safety and food labelling, as well as by various voluntary certifications such as IFS (International Food Standard) and BRC (British Retail Consortium).
These requirements provide consumers with information regarding food consumption and enable manufacturers to optimise distribution and sales timelines, prevent loss of brand value and avoid complaints.
At AINIA, we add value
- We design shelf life studies for each product, selecting the type of study that best fits the product and industry needs
- We provide advice on the type of parameters to be evaluated and on microorganisms or physicochemical parameters of interest
- We evaluate physicochemical, microbiological and sensory parameters that allow monitoring of food degradation and carry out analyses using state-of-the-art equipment
- Shelf life is determined by storing food products in climate chambers controlling humidity, temperature and light, in a continuously monitored environment
Shelf life studies
Our technologists identify the most appropriate shelf life study methodology and parameters to be evaluated, informing the client in a personalised and detailed manner throughout the entire process.
- Microbiological, physicochemical and sensory shelf life studies. We select the deterioration pathways that will affect the product, evaluating its evolution from different perspectives
- Studies under real and accelerated conditions. We select the most appropriate storage conditions and can apply stress conditions to obtain results in significantly shorter periods than the expected shelf life of long-life products
- Predictive shelf life studies. We develop ad hoc predictive models for shelf life of less perishable products, which we implement as customised software applications
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