AIMC Topic: Powders

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Machine learning-assisted Fourier transform infrared spectroscopy to predict adulteration in coriander powder.

Food chemistry Jun 15, 2025
Coriander is a widely used spice, valued for its flavor, aroma, and nutritional benefits in various cuisines and food products. However, adulteration, such as the addition of sawdust, poses significant risks to food safety and authenticity. This stud...
Machine Learning Spectroscopy, Fourier Transform Infrared Coriandrum Spices Food Contamination Powders
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Study on identification algorithm of traditional Chinese medicinals microscopic image based on convolutional neural network.

Medicine Jun 23, 2023
UNLABELLED: When the similarity of medicinal materials is high and easily confused, the traditional subjective judgment has an impact on the identification results. Use high-dimensional features to identify medicinal materials to ensure the quality o...
Microscopy Powders Neural Networks, Computer Algorithms Drugs, Chinese Herbal
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[Determination of vitamin K and vitamin K in modulation milk powder by post-column reduction-high performance liquid chromatography].

Se pu = Chinese journal of chromatography Jul 8, 2020
A method for the determination of vitamin K and vitamin K in modulation milk powder was developed by high performance liquid chromatography (HPLC) coupled with post-column reduction. The samples were dissolved in water, lipase hydrolyzed, saponified ...
Milk Powders Food Analysis Animals Vitamin K 1 Chromatography, High Pressure Liquid Vitamin K 2
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Digital image technology based on PCA and SVM for detection and recognition of foreign bodies in lyophilized powder.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Digital image technology has made great progress in the field of foreign body detection and classification, which is of great help to drug purity extraction and impurity analysis and classification.
Image Processing, Computer-Assisted Support Vector Machine Humans Freeze Drying Principal Component Analysis Powders Drug Contamination
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[Material properties and tensile strength prediction model of traditional Chinese medicine tablets based on PCA-RBF neural network].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Dec 1, 2019
This paper constructs a prediction model of material attribute-tensile strength based on principal component analysis-radial basis neural network( PCA-RBF),in order to predict the formability of traditional Chinese medicine tablets. Firstly,design Ex...
Powders Technology, Pharmaceutical Medicine, Chinese Traditional Tablets Tensile Strength Neural Networks, Computer
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[Preparation of Baicalein Liposome-Lyophilized Powder and Its Pharmacokinetics Study].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials Nov 1, 2015
OBJECTIVE: To prepare baicalein liposome-lyophilized powder, and to investigate the particle size distribution, encapsulation efficiency, stability, in vitro release and in vivo pharmacokirietics in rats. METHODs: Baicalein liposome was prepared by t...
Mannitol Freeze Drying Lactose Particle Size Powders Liposomes Glucose Biological Availability Animals Administration, Oral Rats Flavanones
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Application of artificial neural networks for prediction of photocatalytic reactor.

Water environment research : a research publication of the Water Environment Federation Feb 1, 2015
In this paper, forecasting of kinetic constant and efficiency of photocatalytic process of TiO2 nano powder immobilized on light expanded clay aggregates (LECA) was investigated. Synthetic phenolic wastewater, which is toxic and not easily biodegrada...
Photolysis Aluminum Silicates Clay Microscopy, Electron, Scanning Surface Properties Powders Neural Networks, Computer Wastewater Water Purification Catalysis Prognosis Water Pollutants, Chemical Titanium Equipment Design Nanoparticles Ultraviolet Rays Oxidation-Reduction
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