E-nose can be used for food authentication and adulteration assessment. Recently, halal authentication has gained attention because of cases of pork adulteration in beef. In this study, The electronic nose was built using nine MQ series gas sensors from Zhengzhou Winsen Electronics Technology Co., Ltd for detection pork adulteration in beef. The list of gas sensors are MQ2, MQ4, MQ6, MQ9, MQ135, MQ136, MQ137, and MQ138. These gas sensors were assembled with an Arduino microcontroller.

Dataset Files

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[1] Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla, "The dataset for pork adulteration from electronic nose system", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/txmn-eg92. Accessed: Sep. 18, 2020.
@data{txmn-eg92-20,
doi = {10.21227/txmn-eg92},
url = {http://dx.doi.org/10.21227/txmn-eg92},
author = {Riyanarto Sarno; Dedy Rahman Wijaya; Shoffi Izza Sabilla },
publisher = {IEEE Dataport},
title = {The dataset for pork adulteration from electronic nose system},
year = {2020} }
TY - DATA
T1 - The dataset for pork adulteration from electronic nose system
AU - Riyanarto Sarno; Dedy Rahman Wijaya; Shoffi Izza Sabilla
PY - 2020
PB - IEEE Dataport
UR - 10.21227/txmn-eg92
ER -
Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla. (2020). The dataset for pork adulteration from electronic nose system. IEEE Dataport. http://dx.doi.org/10.21227/txmn-eg92
Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla, 2020. The dataset for pork adulteration from electronic nose system. Available at: http://dx.doi.org/10.21227/txmn-eg92.
Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla. (2020). "The dataset for pork adulteration from electronic nose system." Web.
1. Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla. The dataset for pork adulteration from electronic nose system [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/txmn-eg92
Riyanarto Sarno, Dedy Rahman Wijaya, Shoffi Izza Sabilla. "The dataset for pork adulteration from electronic nose system." doi: 10.21227/txmn-eg92