new food sensing technologies in food

1
NEW SENSOR TECHNOLOGIES (QbD) FOR QUALITY FOOD Singham Pragati*, Kumar Ravish*, Thangalakshmi S.** *M.Tech Food Process Engineering and Management, Department of Food Engineering, National Institute of Food technology Entrepreneurship and Management, Kundli, Haryana * [email protected] , **[email protected] Online MRI NIR (NEAR INFRARED SPECTROSCOPY) It is a rapid non-destructive online spectroscopic monitoring necessary to measure real-time NIR spectra and predict Iodine Value as a function of penetration depth Application: grading of carcass quality and prediction of fat. CONCLUSION Improvements in process-ability and uniform product quality Real-time analysis i.e focus on productivity and need for speed A large improvement compared to the relatively expensive, labor-intensive and/or imprecise methods REFERENCES Skibsted, E., & Engelsen, S. B. (2010). Spectroscopy for process analytical technology (PAT). In J. C. Lindon, G. E. Tranter, & D. Koppenaal (Eds.), Encyclopedia of spectroscopy and Spectrometry (2nd ed.). (pp. 2651e2661) Oxford, UK: Elsevier. Van den Berg, F., Christian B. Lyndgaard C.B., (2012) Klavs M. Sørensen and Engelsen S.B Process Analytical Technology in the food industry. Trends in Food Science & Technology xx 1-9.

Upload: pragati-singham

Post on 01-Dec-2014

119 views

Category:

Food


0 download

DESCRIPTION

Advances in food quality control advances by new sensing devices

TRANSCRIPT

Page 1: New food sensing technologies in food

NEW SENSOR TECHNOLOGIES (QbD) FOR QUALITY FOODSingham Pragati*, Kumar Ravish*, Thangalakshmi S.**

*M.Tech Food Process Engineering and Management, Department of Food Engineering, National Institute of Food technology Entrepreneurship and Management, Kundli, Haryana

*[email protected] , **[email protected]

Online MRI

NIR (NEAR INFRARED SPECTROSCOPY)

It is a rapid non-destructive online spectroscopic monitoring necessary to measure real-time NIR spectra and predict Iodine Value as a functionof penetration depth

Application: grading of carcass quality and prediction of fat.

NIR (NEAR INFRARED SPECTROSCOPY)

It is a rapid non-destructive online spectroscopic monitoring necessary to measure real-time NIR spectra and predict Iodine Value as a functionof penetration depth

Application: grading of carcass quality and prediction of fat.

CONCLUSION

• Improvements in process-ability and uniform product quality

Real-time analysis i.e focus on productivity and need for speed

A large improvement compared to the relatively expensive, labor-intensive and/or imprecise methods

REFERENCES

Skibsted, E., & Engelsen, S. B. (2010). Spectroscopy for process analytical technology (PAT). In J. C. Lindon, G. E. Tranter, & D. Koppenaal (Eds.), Encyclopedia of spectroscopy and Spectrometry (2nd ed.). (pp. 2651e2661) Oxford, UK: Elsevier.

Van den Berg, F., Christian B. Lyndgaard C.B., (2012) Klavs M. Sørensen and Engelsen S.B Process Analytical Technology in the food industry. Trends in Food Science & Technology xx 1-9.