Visible-Spectrum Proxy and Texture Features Coupled with Optimized Regression for Predicting Key Minerals in Chinese Wolfberry.

Peng Chen, Rao Fu, Linjing Zhu, Ke Zhang, Xialin Chen, Yuwen Zhao, Peina Zhou, Chenghao Fei

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Peng ChenCollege of Horticulture, Nanjing Agricultural University, Nanjing 211800, China.

Rao FuCollege of Horticulture, Nanjing Agricultural University, Nanjing 211800, China.

Linjing ZhuCollege of Horticulture, Nanjing Agricultural University, Nanjing 211800, China.

Ke ZhangCollege of Horticulture, Nanjing Agricultural University, Nanjing 211800, China.ORCID 0000-0001-6114-9747

Xialin ChenState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 210023, China.

Yuwen ZhaoState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Nanjing 210023, China.

Peina ZhouInstitute of Plant Resources and Chemistry, Nanjing Research Institute for Comprehensive Utilization of Wild Plants, Nanjing 210042, China.ORCID 0000-0002-5475-3863

Chenghao FeiCollege of Horticulture, Nanjing Agricultural University, Nanjing 211800, China.ORCID 0000-0002-9575-0204

Funding

National Natural Science Foundation of China 82404814National Natural Science Foundation of China 82404863the Key project at central government level: The ability establishment of sustainable use for valuable Chinese medicine resources 2060302the National Administration of Traditional Chinese Medicine High-level Key Discipline Construction Project zyyzdxk-2023293the Open Funding of State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture SKL2024Z0203the Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX25_1000the Start-up Research Fund of Nanjing Agricultural University 130-804141

6 · The paper itself

Abstract

Chinese wolfberry (CW) is a medicinal-food homologous fruit. Key mineral elements are important indicators of the nutritional quality and geographical authenticity of CW. Rapid and non-destructive evaluation of key mineral elements remains challenging because inductively coupled plasma mass spectrometry (ICP-MS) is accurate but destructive and laboratory-dependent. In this study, 120 CW batches from Ningxia, Qinghai, Gansu, and Xinjiang were analyzed by combining ICP-MS reference measurements of Cu, Fe, Mn, and Zn with standardized RGB image features. Visible-color proxy curves were reconstructed from RGB/

Indexed as

Chinese wolfberryDBO-RBFfrequency-domain texturemineral elementsRGB image analysisvisible-color spectral proxy

Identifiers

PMID42650481

DOI10.3390/foods15162786

PMCPMC13511821

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.