Anti-Breakage efficacy evaluation of hair care products using the hair breakage regression model.

Hair Breakage is a complex phenomenon which depends upon multiple factors and parameters. A battery of tests has been proposed by hair researchers to evaluate the hair breakage at lab scale; each of the tests used standardized instruments and techniques to measure relevant hair breakage parameters. A model to connect the hair breakage found in consumer testing with the various strand level and bulk level hair parameters was proposed earlier. We have extended the model and used it to discriminate the anti-breakage potential of various hair care product formats and regimens. The approach exemplifies the use of regression model to extend the in-vitro lab testing data to help predict the in-vivo consumer experience. To compare different hair care products on their anti-breakage potential, an index Hair Breakage Number (HBN) is formulated using the predicted consumer hair breakage counts. Proposed HBN presents a tool to aid formulators and cosmetic scientists in their quest to make anti-breakage hair care products with consumer relevant benefit.