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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
*pragati.niftem@gmail.com , **thangalakshmi_s@rediffmail.com
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.
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.

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New Sensor Technologies for Quality Food Analysis

  • 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 *pragati.niftem@gmail.com , **thangalakshmi_s@rediffmail.com 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. 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.