DETERMINATION OF THE EFFECTS OF HEAT TREATMENT APPLIED TO ANCHOVY ON PUTREFACTION BY ELECTRONIC NOSE

In this study, the effect of heat treatment on the putrefaction levels of anchovy fish was investigated using an electronic nose system. Sensor data (MQ3, MQ4, MQ5, MQ9, MQ131, MQ135, MQ136, MQ137, MQ138, MQ139, MG811 and TGS813) obtained from raw and cooked anchovy samples during storage periods and the sensitivity of the sensors to odour changes were analysed. Based on the differences of their signals (ΔS) between two states, the effect of heat treatment on the odour dynamics was modelled by linear regression models. For example, modelling results for the MQ136 sensor were determined in the form ΔS(t) = -16.59t + 37.33 (R² = 0.84), showing that cooking significantly decreases sensor responses over time. The findings indicated that cooking was found to delay odorization, likely due to changes in lipid oxidation and volatile compound dynamics, and that low-cost sensors can be developed into an advanced electronic nose system.

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Journal
GIDA / THE JOURNAL OF FOOD
Published
2025-08-04
DOI
https://doi.org/10.15237/gida.gd25066
Primary Topic
Advanced Chemical Sensor Technologies
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article
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article

DETERMINATION OF THE EFFECTS OF HEAT TREATMENT APPLIED TO ANCHOVY ON PUTREFACTION BY ELECTRONIC NOSE

Emre Yavuzer
1 links
GIDA / THE JOURNAL OF FOOD
Advanced Chemical Sensor Technologies
article

DETERMINATION OF THE EFFECTS OF HEAT TREATMENT APPLIED TO ANCHOVY ON PUTREFACTION BY ELECTRONIC NOSE

Emre Yavuzer
article en

Abstract

In this study, the effect of heat treatment on the putrefaction levels of anchovy fish was investigated using an electronic nose system. Sensor data (MQ3, MQ4, MQ5, MQ9, MQ131, MQ135, MQ136, MQ137, MQ138, MQ139, MG811 and TGS813) obtained from raw and cooked anchovy samples during storage periods and the sensitivity of the sensors to odour changes were analysed. Based on the differences of their signals (ΔS) between two states, the effect of heat treatment on the odour dynamics was modelled by linear regression models. For example, modelling results for the MQ136 sensor were determined in the form ΔS(t) = -16.59t + 37.33 (R² = 0.84), showing that cooking significantly decreases sensor responses over time. The findings indicated that cooking was found to delay odorization, likely due to changes in lipid oxidation and volatile compound dynamics, and that low-cost sensors can be developed into an advanced electronic nose system.

GIDA / THE JOURNAL OF FOODVol. 50(4)
Niğde Ömer Halisdemir Üniversitesi (TR)
Openalex Percentile: Top 82%
Advanced Chemical Sensor Technologies
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DETERMINATION OF THE EFFECTS OF HEAT TREATMENT APPLIED TO ANCHOVY ON PUTREFACTION BY ELECTRONIC NOSE — Emre Yavuzer · GIDA / THE JOURNAL OF FOOD (2025) | TGRS Research Map | TGRS