Monitorization of Atlantic salmon (Salmo salar) spoilage using an optoelectronic nose
[EN] An optoelectronic nose for monitoring Atlantic salmon (Salmo salar) spoilage has been developed. The chromogenic array uses eight sensing materials containing pH and a Lewis acid indicator adsorbed in aluminium oxide or silica gel. Colour modulations as RGB coordinates are measured on day 0 and...
Published in: | Sensors and Actuators B: Chemical |
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Main Authors: | , , , , , , |
Other Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2014
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Subjects: | |
Online Access: | http://hdl.handle.net/10251/75472 https://doi.org/10.1016/j.snb.2014.01.017 |
Summary: | [EN] An optoelectronic nose for monitoring Atlantic salmon (Salmo salar) spoilage has been developed. The chromogenic array uses eight sensing materials containing pH and a Lewis acid indicator adsorbed in aluminium oxide or silica gel. Colour modulations as RGB coordinates are measured on day 0 and for the salmon samples held in cold storage for 2, 5, 7 and 9 days. For the same days volatile basic nitrogen (TVB-N) and (mesophilic, psychrotrophic and H2S-producing bacteria) analyses were carried out. Changes in the RGB coordinates in the chromogenic array are processed with qualitative (PCA) and quantitative (PLS) tools. The chromogenic data obtained from the array is correlated with the physico-chemical and microbiological parameters (TVB-N, H2S producing, mesophilic and psychrotrophic bacteria) via PLS statistical studies. The influence of the use of two cross-validation methods (Venetian and Random) and diverse number of data splits (NDS) (2 4) to determine the number of PLS components is discussed. The suitability of the PLS models is also studied via t u score plots. The results suggest the potential feasibility of this system for S. salar freshness monitoring Highlights • A chromogenic array for monitoring salmon (Salmo salar) spoilage has been developed. • PLS displayed a good prediction for TVB-N and psychrotrophic bacteria counts. • The relationship in the data for TVB-N and psychrotrophic legitimate the PLS models. • PCA was able to distinguish between different sampled days. The financial support from the Spanish Government (project MAT2012-38429-C04-01), the Generalitat Valenciana (project PROMETEO/2009/016) and Universitat Politecnica de Valencia (project Ref. 2711) is gratefully acknowledged. Zaragozá Torres, P.; Fernández Segovia, I.; Fuentes López, A.; Vivancos, J.; Ros-Lis, JV.; Barat Baviera, JM.; Martínez-Máñez, R. (2014). Monitorization of Atlantic salmon (Salmo salar) spoilage using an optoelectronic nose. Sensors and Actuators B: Chemical. 195:478-485. ... |
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