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 …

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 …

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 …

Quantitative predictions of protein and total flavonoids content in Tartary and common buckwheat using near-infrared spectroscopy and chemometrics

Y Yu, Y Chai, Z Li, Z Li, Z Ren, H Dong, L Chen - Food Chemistry, 2025 - Elsevier
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 …

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 …

Determination of protein and glucose of tuber and root flours using NIR and MIR spectroscopy

RE Masithoh, HZ Amanah, WS Yoon, R Joshi… - Infrared Physics & …, 2021 - Elsevier
Infrared spectroscopy associated with chemometrics analysis have been used for protein
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 …

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 …

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 …

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 …