An Optical Sensing System for Quality Parameters Inspection in Tomato Processed Products Based on Lycopene Quantification
IR@CEERI: CSIR-Central Electronics Engineering Research Institute, Pilani
View Archive Info| Field | Value | |
| Title |
An Optical Sensing System for Quality Parameters
Inspection in Tomato Processed Products Based on
Lycopene Quantification
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| Creator |
Srivastava*, S
Ingole, S Sadistap, SS |
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| Subject |
Agrielctronics
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| Description |
Lycopene (molecular formula C40H56 )and carotenoids are responsible for change in color from green to deep red in various fruit samples such as tomato, red carrots,
watermelons etc. The vibrant red color of tomatoes is due to presence of the carotenoids, Lycopene as well as beta-carotene but Lycopene contributes the most. There is an essential need of a Lycopene quantification system because some of preliminary research has shown that people who consume tomatoes may have a lower cancer risk, possibly due to Lycopene affecting mechanisms of prostate cancer. This paper addresses development work regarding a low power robust optical sensing system for Lycopene quantification. Developed system composed of an in-situ developed low cost two point optical sensor interfaced with touch screen based embedded system with required signal conditioning & calibration circuitry for measurement of reflectance and transmittance intensity passed through the tested fruit sample. Assembled low power two point optical sensor composed of two light source probes having variable wavelength range of 625 – 740 nm, 450 – 565 nm and a two point monolithic photodiode with single supply transimpedance amplifier. Experiments have been performed over the time period of 30 days continuously for various tomato varieties
imported from local market. The change in reflected and
transmitted intensity due to color change in tomatoes from fresh to ripen and then rotten stages measured using developed optical sensing system and transmitted wirelessly on the developed PC based server using ZigBee protocol for further processing,training and testing. Analyses have been performed using various pattern recognition techniques (PCA, LDA, QDA, KNN) were performed and classify between five different stages of the tomatoes. A second order nonlinear relationship has been obtained between the freshness and sensor response. It has been observed from various experimental results that Lycopene concentration relates linearly with the calibrated sensor response.Acquired parameters have been subjected towards training using unsupervised artificial neural network based self organized map (SOM) technique. Accuracy and square error prediction (S.E.P.)have been calculated on predicted results and it has been
observed that accuracy and S.E.P. is approximately of 96% and 2.5 respectively. Results are also compared and validated by aroma sensing technique performed on the same tomato samples using the standard ALPHA FOX 3000 Electronic nose system and also with Lycopene quantification using a chemical process.
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| Date |
2015
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://ceeri.csircentral.net/237/1/5_2015%282%29.pdf
Srivastava*, S and Ingole, S and Sadistap, SS (2015) An Optical Sensing System for Quality Parameters Inspection in Tomato Processed Products Based on Lycopene Quantification. In: 2nd IEEE International Conference on Recent Trends iin Information System(ReTIS-15), July 9-11, 2015, Jadavpur University, Kolkata. (Submitted) |
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| Relation |
http://ceeri.csircentral.net/237/
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