- Quality and Safety
Development of rapid detection techniques (offline)
We reinforce food safety programmes
The microbiological quality of food has a direct impact on its shelf life and on consumer acceptance.
The analytical methods usually used for this type of determination have several limitations, as they are based on limited sample controls and are complex and slow. This means that the batches produced must be held until the result is obtained, which entails additional costs and a critical reduction in shelf life for perishable products such as meat and vegetable products. For this reason, there is strong demand for systems that detect microbiological quality parameters and make it possible, on the one hand, to control a higher percentage of production and, on the other, to reduce the time required to obtain results.
At AINIA, we add value
- Reduction of analysis times
- Greater precision in the detection of risk microorganisms
- Lower investment in analysis equipment
Development and validation of rapid detection techniques (offline)
We combine our knowledge of microbiology with innovation in inspection techniques for microbiological control, in order to develop offline inspection solutions as alternatives to microbiological analyses carried out in companies’ own laboratories or in external laboratories.
In general, to assess the overall microbiological quality of a given food product, product control plans are developed, including indicators such as the count of mesophilic aerobic microorganisms and enterobacteria.
We reinforce offline food safety control through research into diagnostic systems based on biosensor technology for the detection of microbiological risks in food. We use acoustic biosensors, or acoustic wave sensors, which measure changes in the physical properties of an acoustic wave in response to the analyte, the compound being analysed. Acoustic biosensors are an interesting alternative to conventional analytical methods in the agri-food sector due to their high sensitivity, rapid detection and low cost, while avoiding complex sample pretreatment. We apply these biosensors to pathogen control in various samples of food matrices.
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