Sensory Research and Analytics

Sensory properties are crucial for a product’s success and our team evaluates sensory properties of products, helping our clients enhance the sensory value of the products

Sensory Research and Analytics

Understanding of the sensory experiences of potential consumers opens a space and the inspiration for innovation in new product development or enhancing existing product. Sensory along with consumer research is one of the useful tools at different stages of NPD, from design to commercialization. This process guarantees the success of innovation in market uptake among consumers.

Food Research Lab (FRL) can be the right fit for your Sensory Research and Analytics because we.

Our scientific research team at Food Research Lab (FRL) has conducted extensive research in this area and offer an expert advice in all areas related to sensory and consumer science research. We offer wide range of services under sensory research and analytics services, and this includes

  • Conduct flavour mapping research to identify the ingredients and their source linked to perceptible taste, color, odor and chemical factors through competitor product analyses.
  • To analyse chemical aromatic compounds to discriminate the raw materials /ingredients from the sensorial attribute point of view.
  • Develop a lexicon to characterize the flavor characteristics of a particular ingredient or product and discriminate it in terms of forms, types and speciality.
  • Conduct standard methods (amplitude, intensity, order and after taste) to describe and assess the aroma and flavor character or attributes notes of a product through selection of trained and untrained panels (e.g., Flash Profiling, Free Choice Profiling, Napping, check all that apply and rate all the apply).
  • Conduct consumer journey mapping research
  • Our R&D chef help you to determine the sensory characteristics of the dishes by modifying the conventional dishes to the molecular version of through modification of their texture, shape and/or temperature. The note by note version was designed by replacing conventional ingredients with as many technologically possible chemical compounds, distillates and freeze drying (examples)
  • Understand the characteristics affecting consumer attitude and behaviour towards food through food neophobia and involvement research.
  • To collect regional preference cuisine (e.g., Mughlai, Chinese, Korean) recipes, ingredients and corresponding flavor compounds from various sources (e.g., digital listening such as social media, influencers, interview, secondary sources) and calculate scores for all recipes in the region and subsequently calculate the similarity between region and recipe using AI algorithm and subsequently calculating scoring based on the flavor similarity of the region. We conduct flavor mapping, network analysis,

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