Overcoming the limits of cross-sensitivity: pattern recognition methods for chemiresistive gas sensor array

H Mei, J Peng, T Wang, T Zhou, H Zhao, T Zhang… - Nano-micro letters, 2024 - Springer
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

Recent progress in smart electronic nose technologies enabled with machine learning methods

Z Ye, Y Liu, Q Li - Sensors, 2021 - mdpi.com
Machine learning methods enable the electronic nose (E-Nose) for precise odor
identification with both qualitative and quantitative analysis. Advanced machine learning …

Determination of the quality of tea from different picking periods: An adaptive pooling attention mechanism coupled with an electronic nose

S Kang, Q Zhang, Z Li, C Yin, N Feng, Y Shi - Postharvest Biology and …, 2023 - Elsevier
An efficient nondestructive testing method is important to inspect the quality of agricultural
products. The material content of tea differs across different picking periods, leading to …

[HTML][HTML] Application of essential oils as preservatives in food systems: challenges and future prospectives–a review

QA Al-Maqtari, A Rehman, AA Mahdi, W Al-Ansi… - Phytochemistry …, 2021 - Springer
The production of safe foods with little or no artificial preservatives is one of the foremost
leading challenges for food manufacturing industries because synthetic antimicrobial agents …

Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN

M Momeny, AA Neshat, A Jahanbakhshi, M Mahmoudi… - Food Control, 2023 - Elsevier
Saffron is a well-known product in the food industry. It is one of the spices that are
sometimes adulterated with the sole motive of gaining more economic profit. Today …

[HTML][HTML] Detection of fraud in sesame oil with the help of artificial intelligence combined with chemometrics methods and chemical compounds characterization by gas …

NS Aghili, M Rasekh, H Karami, V Azizi, M Gancarz - Lwt, 2022 - Elsevier
The majority of current approaches to identify adulterated edible vegetable oils are of limited
practical benefits because they require long analysis times, expensive equipment, and …

Aromatic fingerprints: VOC analysis with E-nose and GC-MS for rapid detection of adulteration in sesame oil

NS Aghili, M Rasekh, H Karami, O Edriss, AD Wilson… - Sensors, 2023 - mdpi.com
Food quality assurance is an important field that directly affects public health. The
organoleptic aroma of food is of crucial significance to evaluate and confirm food quality and …

A machine learning method for classification and identification of potato cultivars based on the reaction of MOS type sensor-array

A Khorramifar, M Rasekh, H Karami, U Malaga-Toboła… - Sensors, 2021 - mdpi.com
In response to one of the most important challenges of the century, ie, the estimation of the
food demands of a growing population, advanced technologies have been employed in …

Noninvasive detection of COPD and Lung Cancer through breath analysis using MOS Sensor array based e-nose

B VA, M Subramoniam, L Mathew - Expert review of molecular …, 2021 - Taylor & Francis
Introduction This paper describes the research work done toward the development of a
breath analyzing electronic nose (e-nose), and the results obtained from testing patients with …

Rapid detection of urea fertilizer effects on voc emissions from cucumber fruits using a MOS E-Nose Sensor Array

S Tatli, E Mirzaee-Ghaleh, H Rabbani, H Karami… - Agronomy, 2021 - mdpi.com
The widespread use of nitrogen chemical fertilizers in modern agricultural practices has
raised concerns over hazardous accumulations of nitrogen-based compounds in crop foods …