A machine learning method for the quantitative detection of adulterated meat using a MOS-based E-nose

C Huang, Y Gu - Foods, 2022 - mdpi.com
Meat adulteration is a global problem which undermines market fairness and harms people
with allergies or certain religious beliefs. In this study, a novel framework in which a one …

Qualitative and quantitative detection of food adulteration using a smart E-Nose

KK Pulluri, VN Kumar - Sensors, 2022 - mdpi.com
Food adulteration is the most serious problem found in the food industry as it harms people's
healths and undermines their beliefs. The present study is focused on designing and …

An improved classification of pork adulteration in beef based on electronic nose using modified deep extreme learning with principal component analysis as feature …

C Avian, JS Leu, SW Prakosa, M Faisal - Food Analytical Methods, 2022 - Springer
Rapid meat consumption for human diets is causing a considerable production demand to
fulfill. Due to many factors, such as economic problems, the adulteration problem of mixing …

Detection of beef adulterated with pork using a low-cost electronic nose based on colorimetric sensors

F Han, X Huang, J H. Aheto, D Zhang, F Feng - Foods, 2020 - mdpi.com
The present study was aimed at developing a low-cost but rapid technique for qualitative
and quantitative detection of beef adulterated with pork. An electronic nose based on …

Rapid detection of adulterated lamb meat using near infrared and electronic nose: A F1-score-MRE data fusion approach

W Jia, Y Qin, C Zhao - Food Chemistry, 2024 - Elsevier
Individual detection techniques cannot guarantee accurate and reliable results when
combatting the presence of adulterated lamb meat in the market. Here, we propose an …

[HTML][HTML] Electronic nose dataset for pork adulteration in beef

R Sarno, SI Sabilla, DR Wijaya, D Sunaryono… - Data in brief, 2020 - Elsevier
This article provides a dataset of several weight combinations from the adulteration of pork
in beef using an electronic nose (e-nose). Seven combinations mixtures have been built …

Adulterant identification in mutton by electronic nose and gas chromatography-mass spectrometer

Q Wang, L Li, W Ding, D Zhang, J Wang, K Reed… - Food Control, 2019 - Elsevier
Battling meat adulteration is essential in preserving both public health and a fair market. This
study depicts a method of reducing adulteration in meats, in which Electronic-nose (E-nose) …

Detecting pork adulteration in beef for halal authentication using an optimized electronic nose system

R Sarno, K Triyana, SI Sabilla, DR Wijaya… - IEEE …, 2020 - ieeexplore.ieee.org
Recently, the issue of food authentication has gained attention, especially halal
authentication, because of cases of pork adulteration in beef. Many studies have developed …

Classification and quantification of minced mutton adulteration with pork using thermal imaging and convolutional neural network

M Zheng, Y Zhang, J Gu, Z Bai, R Zhu - Food Control, 2021 - Elsevier
A novel and reliable method to classify and quantify the adulterated minced mutton is
proposed in this study based on thermal imaging combined with convolutional neural …

Combination of an E‐nose and an E‐tongue for adulteration detection of minced mutton mixed with pork

X Tian, J Wang, Z Ma, M Li, Z Wei - Journal of Food Quality, 2019 - Wiley Online Library
An E‐panel, comprising an electronic nose (E‐nose) and an electronic tongue (E‐tongue),
was used to distinguish the organoleptic characteristics of minced mutton adulterated with …