TY - JOUR
T1 - Stability of electronic nose (E-nose) as determined by considering date-pits heated at different temperatures
AU - Rahman, Mohammad Shafiur
AU - Al-Farsi, Kutaila
AU - Al-Maskari, Salha Saleh
AU - Al-Habsi, Nasser Abdullah
N1 - Funding Information:
This study was funded by SQU-UAEU collaborative fund CL/SQU-UAEU/2016/03.
Funding Information:
The authors would like to acknowledge the support of the Sultan Qaboos University toward this research in the area of artificial sensors to assess the quality of foods.
Publisher Copyright:
© 2018 Mohammad Shafiur Rahman, Kutaila Al-Farsi, Salha Saleh Al-Maskari and Nasser Abdullah Al-Habsi.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Variability and sensitivity of a portable electronic nose (32 sensors) was assessed by considering different variables for measurement (i.e., reference, standard, first and second purges, sample draw time, waiting time for the volatiles released in the headspace, and mass of sample or headspace volume of the jar containing sample). In this study, dried date-pits were used a model sample. The highest stability was achieved when both reference and standard (i.e., dried date-pits, no heating treatment) were used before test sample measurement. Higher sample draw time more than 10 s significantly decreased the stability, whereas optimum second purge was observed at 50 s. Optimum time to generate volatile was observed as 24 h. A sample of 100 g increased the signal intensity compared to the 50 g sample for the 60°C and 100°C treated samples, while an opposite trend was observed for the 150°C treated sample. Finally, the responses of volatile components in date-pits heated at different temperatures (60°C, 100°C, and 150°C) were measured using the optimum operating conditions. Principal component analysis explored the relationships between the volatile features and classified date-pits heated at different temperatures. The results showed that an electronic nose was able to classify date-pits based on their volatile components generated by different degrees of heating (93.3% accuracy).
AB - Variability and sensitivity of a portable electronic nose (32 sensors) was assessed by considering different variables for measurement (i.e., reference, standard, first and second purges, sample draw time, waiting time for the volatiles released in the headspace, and mass of sample or headspace volume of the jar containing sample). In this study, dried date-pits were used a model sample. The highest stability was achieved when both reference and standard (i.e., dried date-pits, no heating treatment) were used before test sample measurement. Higher sample draw time more than 10 s significantly decreased the stability, whereas optimum second purge was observed at 50 s. Optimum time to generate volatile was observed as 24 h. A sample of 100 g increased the signal intensity compared to the 50 g sample for the 60°C and 100°C treated samples, while an opposite trend was observed for the 150°C treated sample. Finally, the responses of volatile components in date-pits heated at different temperatures (60°C, 100°C, and 150°C) were measured using the optimum operating conditions. Principal component analysis explored the relationships between the volatile features and classified date-pits heated at different temperatures. The results showed that an electronic nose was able to classify date-pits based on their volatile components generated by different degrees of heating (93.3% accuracy).
KW - Date-pits
KW - Electronic nose (e-nose)
KW - Food quality
KW - Principal component analysis
KW - Sensory analysis
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U2 - 10.1080/10942912.2018.1463540
DO - 10.1080/10942912.2018.1463540
M3 - Article
AN - SCOPUS:85054851583
SN - 1094-2912
VL - 21
SP - 849
EP - 856
JO - International Journal of Food Properties
JF - International Journal of Food Properties
IS - 1
ER -