Detection and analysis of sweet potato defects based on hyperspectral imaging technology
Y Shao, Y Liu, G Xuan, Y Shi, Q Li, Z Hu - Infrared Physics & Technology, 2022 - Elsevier
In order to identify the defective sweet potato quickly, this study used hyperspectral imaging
technology to classify healthy, frostbitten and diseased sweet potatoes. The training set and …
technology to classify healthy, frostbitten and diseased sweet potatoes. The training set and …
Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy
R Chen, F Liu, C Zhang, W Wang, R Yang… - Frontiers in Plant …, 2023 - frontiersin.org
Herbs have been used as natural remedies for disease treatment, prevention, and health
care. Some herbs with functional properties are also used as food or food additives for …
care. Some herbs with functional properties are also used as food or food additives for …
Non-invasive detection of medicines and edible products by direct measurement through vials using near-infrared spectroscopy: A review
P Cui, J Zhao, M Liu, M Qi, Q Wang, Z Li, T Suo… - Infrared Physics & …, 2021 - Elsevier
Near-infrared (NIR) spectroscopy is the significant non-invasive technology in the detection
of medicines and edible products, which can directly transmit through general plastic and …
of medicines and edible products, which can directly transmit through general plastic and …
Quantitative predictions of protein and total flavonoids content in Tartary and common buckwheat using near-infrared spectroscopy and chemometrics
A rapid method was developed for determining the total flavonoid and protein content in
Tartary buckwheat by employing near-infrared spectroscopy (NIRS) and various machine …
Tartary buckwheat by employing near-infrared spectroscopy (NIRS) and various machine …
Rapid and simultaneous quality analysis of the three active components in Lonicerae Japonicae Flos by near-infrared spectroscopy
X Jintao, Y Quanwei, L Chunyan, L Xiaolong… - Food Chemistry, 2021 - Elsevier
Abstract Lonicerae Japonicae Flos (LJF) has historically been widely utilized as a tea and
health food. To better understand and evaluate its quality evaluate its quality, a near-infrared …
health food. To better understand and evaluate its quality evaluate its quality, a near-infrared …
Determination of protein and glucose of tuber and root flours using NIR and MIR spectroscopy
Infrared spectroscopy associated with chemometrics analysis have been used for protein
and glucose determination but researches which compare near-infrared (NIR) and mid …
and glucose determination but researches which compare near-infrared (NIR) and mid …
Application of Fourier Transform Near-Infrared (FT-NIR) spectroscopy for detection of adulteration in palm sugar
K Rismiwandira, F Roosmayanti… - … Series: Earth and …, 2021 - iopscience.iop.org
The aim of this research was to detect adulteration in palm sugar by coconut sugar using FT-
NIR spectroscopy with two chemometric methods namely partial least squares regression …
NIR spectroscopy with two chemometric methods namely partial least squares regression …
Classification and Authentication of Lonicerae Japonicae Flos and Lonicerae Flos by Using 1H-NMR Spectroscopy and Chemical Pattern Recognition Analysis
K Liu, Y Jin, L Gu, M Li, P Wang, G Yin, S Wang… - Molecules, 2023 - mdpi.com
Lonicerae japonicae flos and Lonicerae flos are increasingly widely used in food and
traditional medicine products around the world. Due to their high demand and similar …
traditional medicine products around the world. Due to their high demand and similar …
Discrimination and characterization of volatile organic compounds in Lonicerae Japonicae flos and Lonicerae flos using multivariate statistics combined with …
T Wu, J Yin, X Wu, W Li, S Bie, J Zhao… - Rapid …, 2024 - Wiley Online Library
Rationale The volatile organic compounds (VOCs) of Lonicerae Japonicae flos (LJF) and
Lonicera flos (LF) play a pivotal role in determining their sensory characteristics, medicinal …
Lonicera flos (LF) play a pivotal role in determining their sensory characteristics, medicinal …
Numerical simulation and optimization of Lonicerae Japonicae Flos extract spray drying process based on temperature field verification and deep reinforcement …
P Cui, Y Yu, Q Xue, Z Wu, K Miao, C Liu, L Zhao… - Journal of Food …, 2023 - Elsevier
This paper presents a computational fluid dynamics (CFD) method combined with deep
reinforcement learning to simulate and optimize the spray drying process of Lonicerae …
reinforcement learning to simulate and optimize the spray drying process of Lonicerae …