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Electronic Nose Setup for Estimation of Rancidity in Cookies

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Sensing Technology: Current Status and Future Trends II

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 8))

Abstract

Rancidity is a major problem in food systems which occurs through lipid oxidation and significantly affects quality of foods. Owing to the drawbacks of conventional methods of estimating lipid oxidation in foods, alternative inexpensive technology such as electronic nose (e-nose) technology that can accurately and rapidly determine odor profile of foods, is gaining importance. First section of this chapter presents various applications of e-nose analysis of several food systems. Latter section of this chapter focusses on assessment of shelf-life of cookies formulated with un-encapsulated and encapsulated eugenol-rich clove extracts (obtained by supercritical carbon dioxide extraction from clove buds) as a source of natural antioxidant using ALPHA MOS e-nose system and a customized e-nose system. The e-nose results were further validated by conventional methods of rancidity determination. Shelf-life study for a storage period of 200 days revealed that normal cookies without any antioxidant have shelf-life of 100 days when stored in aluminium laminates at \(23 \pm 2^{\,\circ }\mathrm{C}\), while administration of encapsulated clove extract as antioxidant prevented rancidity in cookies for at least 200 days with a shelf-life lead of 100 days over control cookies. These observations were further affirmed by phytochemical analyses which indicated that the addition of encapsulated clove extract in cookies enhanced its nutraceutical potential and antioxidant activity for at least 200 days. Finally, linear regression equations were developed using which rancidity parameters of conventional biochemical assays of cookies can be directly derived from e-nose sensor responses.

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Chatterjee, D., Bhattacharjee, P., Lechat, H., Ayouni, F., Vabre, V., Bhattacharyya, N. (2014). Electronic Nose Setup for Estimation of Rancidity in Cookies. In: Mason, A., Mukhopadhyay, S., Jayasundera, K., Bhattacharyya, N. (eds) Sensing Technology: Current Status and Future Trends II. Smart Sensors, Measurement and Instrumentation, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-02315-1_8

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