Abstract: A measurement apparatus and method for in-situ quantitative texture measurement of a food snack. The apparatus includes an acoustic capturing device and a data processing unit. The physical interaction in the mouth with saliva, when a human being eats/drinks a food snack, sends pressure waves that propagate through the ear bone and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that smoothens, transforms and filters the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Another method includes a food snack fingerprinting using an in-situ quantitative food property measurement.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A feedback and feedforward as well as a statistical predictive control system and method for continuously controlling texture of a food snack in a manufacturing process. The feedback system includes a quantitative texture measuring tool that is positioned downstream of a food processing unit. The texture measuring tool continuously measures a texture attribute of food snack from the food processing unit and feeds back texture attribute information to a controller that controls input parameters to food processing unit such that the texture attribute of a resultant food snack falls within an acceptable limit. The texture measuring tool comprises an excitation tool that strikes the food snack and produces an acoustic signal that is processed by a data processing unit. The data processing unit identifies relevant frequencies in the acoustic signal and quantitatively measures a texture attribute based on a correlated model that includes the relevant frequencies.

Abstract: A feedback and feedforward as well as a statistical predictive control system and method for continuously controlling texture of a food snack in a manufacturing process. The feedback system includes a quantitative texture measuring tool that is positioned downstream of a food processing unit. The texture measuring tool continuously measures a texture attribute of food snack from the food processing unit and feeds back texture attribute information to a controller that controls input parameters to food processing unit such that the texture attribute of a resultant food snack falls within an acceptable limit. The texture measuring tool comprises an excitation tool that strikes the food snack and produces an acoustic signal that is processed by a data processing unit. The data processing unit identifies relevant frequencies in the acoustic signal and quantitatively measures a texture attribute based on a correlated model that includes the relevant frequencies.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.