ArticleEvidence-based complementary and alternative medicine : eCAM2015
A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue.
Article in Evidence-based complementary and alternative medicine : eCAM, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 36 citations in OpenAlex.
- Establishment of a Daqu Grade Classification Model Based on Computer Vision and Machine Learning.Foods (Basel, Switzerland) · 2025Article
- Application of digital-intelligence technology in the processing of Chinese materia medica.Frontiers in pharmacology · 2023Review
- Data fusion of electronic noses and electronic tongues aids in botanical origin identification on imbalanced Codonopsis Radix samples.Scientific reports · 2022Article
- A Novel Method for Quality Evaluation ofMolecules (Basel, Switzerland) · 2022Article
- FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network.Sensors (Basel, Switzerland) · 2021Article
- Similarity Evaluation on the Compound TCM Formulation "Huoling Shengji Granule" and Its Placebo by Intelligent Sensory Evaluation Technologies and the Human Sensory Evaluation Method Based on Critical Quality Attributes.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Changes of Mineralogical Properties and Biological Activities of Gypsum and Its Calcined Products with Different Phase Structures.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Chemical Property Changes and Thermal Analysis during the Carbonizing Process of the Pollen Grains ofMolecules (Basel, Switzerland) · 2018Article
- A novel quantified bitterness evaluation model for traditional Chinese herbs based on an animal ethology principle.Acta pharmaceutica Sinica. B · 2018Article
- Comparative Researches of Semen Arecae and Charred Semen Arecae on Gastrointestinal Motility, Motilin, Substance P, and CCK in Chronically Stressed Rats.Evidence-based complementary and alternative medicine : eCAM · 2017Article
- Evaluation of the Bitterness of Traditional Chinese Medicines using an E-Tongue Coupled with a Robust Partial Least Squares Regression Method.Sensors (Basel, Switzerland) · 2016Article
- A Novel Quantitative Prediction Approach for Astringency Level of Herbs Based on an Electronic Tongue.Pharmacognosy magazineArticle
- A Novel Strategy for Bitter Taste Masking of Gankeshuangqing Dispersible Tablets Based on Particle Coating Technology.Pharmacognosy magazineArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Areca nut, commonly known locally as Semen Arecae (SA) in China, has been used as an important Chinese herbal medicine for thousands of years. The raw SA (RAW) is commonly processed by stir-baking to yellow (SBY), stir-baking to dark brown (SBD), and stir-baking to carbon dark (SBC) for different clinical uses. In our present investigation, intelligent sensory technologies consisting of computer vision (CV), electronic nose (E-nose), and electronic tongue (E-tongue) were employed in order to develop a novel and accurate method for discrimination of SA and its processed products. Firstly, the color parameters and electronic sensory responses of E-nose and E-tongue of the samples were determined, respectively. Then, indicative components including 5-hydroxymethyl furfural (5-HMF) and arecoline (ARE) were determined by HPLC. Finally, principal component analysis (PCA) and discriminant factor analysis (DFA) were performed. The results demonstrated that these three instruments can effectively discriminate SA and its processed products. 5-HMF and ARE can reflect the stir-baking degree of SA. Interestingly, the two components showed close correlations to the color parameters and sensory responses of E-nose and E-tongue. In conclusion, this novel method based on CV, E-nose, and E-tongue can be successfully used to discriminate SA and its processed products.
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Registered trials
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.