A step forward in food science, technology and industry using artificial intelligence
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …
science play also a significant role in the world. So, food science, food technology, food …
Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
R Houhou, T Bocklitz - Analytical Science Advances, 2021 - Wiley Online Library
Artificial intelligence‐based methods such as chemometrics, machine learning, and deep
learning are promising tools that lead to a clearer and better understanding of data. Only …
learning are promising tools that lead to a clearer and better understanding of data. Only …
Quantitative analysis of blended corn-olive oil based on Raman spectroscopy and one-dimensional convolutional neural network
X Wu, S Gao, Y Niu, Z Zhao, R Ma, B Xu, H Liu… - Food Chemistry, 2022 - Elsevier
Blended vegetable oil is a vital product in the vegetable oil market, and quantifying high-
value vegetable oil is of great significance to protect the rights and interests of consumers. In …
value vegetable oil is of great significance to protect the rights and interests of consumers. In …
A comparative study on classification of edible vegetable oils by infrared, near infrared and fluorescence spectroscopy combined with chemometrics
L Yuan, X Meng, K Xin, Y Ju, Y Zhang, C Yin… - Spectrochimica Acta Part …, 2023 - Elsevier
Driven by economic benefits like any other foods, vegetable oil has long been plagued by
mislabeling and adulteration. Many studies have addressed the field of classification and …
mislabeling and adulteration. Many studies have addressed the field of classification and …
Review of machine learning for lipid nanoparticle formulation and process development
Lipid nanoparticles (LNPs) are a subset of pharmaceutical nanoparticulate formulations
designed to encapsulate, stabilize, and deliver nucleic acid cargoes in vivo. Applications for …
designed to encapsulate, stabilize, and deliver nucleic acid cargoes in vivo. Applications for …
Identification of oil authenticity and adulteration using deep long short-term memory-based neural network with seagull optimization algorithm
V Surya, A Senthilselvi - Neural Computing and Applications, 2022 - Springer
One of the most important aspects of people's everyday diet is edible oils. Good quality
cooking oil plays a key role in one's health. Due to the increased demand for oil in both the …
cooking oil plays a key role in one's health. Due to the increased demand for oil in both the …
Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning
BACKGROUND As extra virgin olive oil (EVOO) has high commercial value, it is routinely
adulterated with other oils. The present study investigated the feasibility of rapidly identifying …
adulterated with other oils. The present study investigated the feasibility of rapidly identifying …
Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios
A Tan, Y Wang, Y Zhao, B Wang, X Li… - Spectrochimica Acta Part A …, 2022 - Elsevier
This study proposed a deep transfer learning methodology based on an improved Bi-
directional Long Short-Term Memory (Bi-LSTM) network for the first time to address the near …
directional Long Short-Term Memory (Bi-LSTM) network for the first time to address the near …
A rapid screening approach for authentication of olive oil and classification of binary blends of olive oils using low-field nuclear magnetic resonance spectra and …
X Wang, G Wang, X Hou, S Nie - Food Analytical Methods, 2020 - Springer
Due to the quality differentiation and commercial concerns, rapid authentication and
addressing the adulterants in olive oil is of great importance. The feasibility of identifying …
addressing the adulterants in olive oil is of great importance. The feasibility of identifying …
Olive oil classification with Laser-induced fluorescence (LIF) spectra using 1-dimensional convolutional neural network and dual convolution structure model
S Chen, X Du, W Zhao, P Guo, H Chen, Y Jiang… - … Acta Part A: Molecular …, 2022 - Elsevier
Laser-induced fluorescence (LIF) spectroscopy is widely used for the analysis and
classification of olive oil. This paper proposes the classification of LIF data using a specific 1 …
classification of olive oil. This paper proposes the classification of LIF data using a specific 1 …