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 …

Advances in 3D silicon-based lithium-ion microbatteries

AD Refino, C Eldona, RFH Hernandha… - Communications …, 2024 - nature.com
Miniaturization of modern microelectronics to accommodate the development of portable
and smart devices requires independent energy storage that is compact, lightweight …

Review of noble metal nanoparticle-based colorimetric sensors for food safety monitoring

LA Putri, YD Prabowo, DMM Dewi… - ACS Applied Nano …, 2024 - ACS Publications
Food safety, particularly concerning foods contaminated by toxic chemicals, has emerged as
a pervasive societal concern. The prevalence of food contaminants has spurred both …

Portable and miniature sensors in supply chain for food authentication: A review

HJ He, MV da Silva Ferreira, Q Wu… - Critical Reviews in …, 2024 - Taylor & Francis
Food fraud, a pervasive issue in the global food industry, poses significant challenges to
consumer health, trust, and economic stability, costing an estimated $10–15 billion annually …

Electronic nose and its application in the food industry: a review

M Wang, Y Chen - European Food Research and Technology, 2024 - Springer
Food is closely related to human life. With the development of the times, the human demand
for food has changed dramatically. People pay closer attention to the safety, health …

Electronic nose-based monitoring of vacuum-packaged chicken meat freshness in room and refrigerated storage

Chotimah, K Saifullah, FN Laily, M Puspita… - Journal of Food …, 2024 - Springer
Monitoring chicken meat is a crucial process for food safety and consumer health, as it helps
prevent the growth of harmful bacteria, minimizing the risk of foodborne illnesses. Currently …

Rapid identification of horse oil adulteration based on deep learning infrared spectroscopy detection method

L Kuang, X Tian, Y Su, C Chen, L Zhao, X Ma… - … Acta Part A: Molecular …, 2025 - Elsevier
As a natural oil, horse oil has unique biological activity ingredients and therapeutic
characteristics, which has important application value and market potential in healthcare …

[HTML][HTML] Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality

KO Kombo, N Ihsan, TS Syahputra, SN Hidayat… - Scientific African, 2024 - Elsevier
This study introduced a metal-oxide-semiconductor (MOS) based electronic nose (E-nose)
to perform on-the-spot classification of superior-quality black tea. A piecewise feature …

Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

Z Yuan, X Luo, F Meng - Advanced Engineering Materials, 2024 - Wiley Online Library
The traditional trial‐and‐error testing to develop high‐performance chemiresistive gas
sensors is inefficient and fails to meet the high demand for sensors in various industries …

Application of Machine Learning approach on Halal meat authentication principle, challenges, and prospects: A Review

A Mustapha, I Ishak, NNM Zaki, MR Ismail-Fitry… - Heliyon, 2024 - cell.com
Meat is a source of essential amino acids that are necessary for human growth and
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …