AIMC Topic: Lycium

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Rapid and accurate identification and quantification of Lycium barbarum L. components: Integrating deep learning and NMR for nutritional assessment.

Food research international (Ottawa, Ont.) Mar 15, 2025
Lycium barbarum L. (L. barbarum), revered for its nutritional and commercial value, exhibits variable nutritional contents depending on the consumption method. This study introduces an innovative approach, the Identification and Quantification of L.b...
Lycium Nutritive Value Magnetic Resonance Spectroscopy Nutrition Assessment Deep Learning Food Analysis Fruit Neural Networks, Computer
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Multilayered visual metabolomics analysis framework for enhanced exploration of functional components in wolfberry.

Food chemistry Feb 25, 2025
Wolfberry, regarded as a nutritious fruit, has garnered significant attention in the food industry due to potential health benefits. However, the tissue-specific distribution and dynamic accumulation patterns of nutritional metabolites such as flavon...
Metabolomics Fruit Lycium Flavonoids Metabolic Networks and Pathways
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Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture.

PloS one Sep 26, 2024
Leaf nitrogen content (LNC) is an important indicator for scientific diagnosis of the nutrition status of crops. It plays an important role in the growth, yield and quality of wolfberry. This study aimed to develop new spectral indices (NSIs) and con...
Spectrum Analysis Lycium Nitrogen Machine Learning Algorithms Agriculture Plant Leaves
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The combination of HSI and NMR techniques with deep learning for identification of geographical origin and GI markers of Lycium barbarum L.

Food chemistry Aug 21, 2024
Lycium barbarum L. (L. barbarum) is renowned worldwide for its nutritional and medicinal benefits. Rapid and accurate identification of L.barbarum's geographic origin is essential because its nutritional content, medicinal efficacy, and market price ...
Hyperspectral Imaging Magnetic Resonance Spectroscopy Deep Learning Lycium Geography
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Leveraging machine learning to unravel the impact of cadmium stress on goji berry micropropagation.

PloS one Jun 13, 2024
This study investigates the influence of cadmium (Cd) stress on the micropropagation of Goji Berry (Lycium barbarum L.) across three distinct genotypes (ERU, NQ1, NQ7), employing an array of machine learning (ML) algorithms, including Multilayer Perc...
Cadmium Stress, Physiological Fruit Lycium Machine Learning Algorithms Genotype Plant Roots
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Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 11, 2023
Ningxia wolfberry stored for many years may be disguised as fresh wolfberry by unscrupulous traders and sold for huge profits. In this work, the front-face excitation-emission matrix (FF-EEM) fluorescence spectroscopy coupled with interpretable deep ...
Neural Networks, Computer Algorithms Spectrometry, Fluorescence Deep Learning Lycium
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Dealing with heterogeneous classification problem in the framework of multi-instance learning.

Talanta Sep 16, 2014
To deal with heterogeneous classification problem efficiently, each heterogeneous object was represented by a set of measurements obtained on different part of it, and the heterogeneous classification problem was reformulated in the framework of mult...
Spectroscopy, Near-Infrared Support Vector Machine Pattern Recognition, Automated Lycium Least-Squares Analysis Fruit
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[The Identification of the Origin of Chinese Wolfberry Based on Infrared Spectral Technology and the Artificial Neural Network].

Guang pu xue yu guang pu fen xi = Guang pu Mar 1, 2016
The Fourier Transform Infrared Spectroscopy (FTIR) is established to find the geographic origins of Chinese wolfberry quickly. In the paper, the 45 samples of Chinese wolfberry from different places of Qinghai Province are to be surveyed by FTIR. The...
Wavelet Analysis Lycium Models, Theoretical Spectroscopy, Fourier Transform Infrared Neural Networks, Computer
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[Screening and identification of antioxidant endophytes from Lycium barbarum of Ningxia].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Oct 1, 2015
In this paper, 29 endophytes were isolated from different organs and tissues of Lycium barbarum of Ningxia by tablet coating method, 18 of them was fungi, and 11 of them was actinomycetes. The endophytes quantity in the different tissues were leaves ...
Lycium Fungi Biodiversity Antioxidants Molecular Sequence Data Bacteria Oxidation-Reduction Endophytes
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