AIMC Topic: Drug Contamination

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Machine learning-guided Orbitrap-HRAMS-based metabolomic fingerprinting for geographical origin, variety and tissue specific authentication, and adulteration detection of turmeric and ashwagandha.

Food chemistry Mar 28, 2025
The increasing global demand for herbs and spices in food and nutraceutical industries highlights their key functional benefits, including antioxidant and anti-inflammatory properties. Ensuring authenticity and traceability is essential to counteract...
Machine Learning Computer Simulation Withania Curcuma Machine Learning Algorithms Food Safety Drug Contamination Drug Labeling Counterfeit Drugs Peptide Mapping Liquid Chromatography-Mass Spectrometry Metabolome Quality Control Plant Extracts Metabolomics
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Machine learning aided UV absorbance spectroscopy for microbial contamination in cell therapy products.

Scientific reports Mar 4, 2025
We demonstrate the feasibility of machine-learning aided UV absorbance spectroscopy for in-process microbial contamination detection during cell therapy product (CTP) manufacturing. This method leverages a one-class support vector machine to analyse ...
Drug Contamination Spectrophotometry, Ultraviolet Cell- and Tissue-Based Therapy Escherichia coli Humans Mesenchymal Stem Cells Machine Learning
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High-precision identification of highly similar Pinelliae Rhizoma and adulterated Rhizoma pinelliae pedatisectae through deep neural networks based on vision transformers.

Journal of food science Oct 9, 2024
Pinelliae Rhizoma is a key ingredient in botanical supplements and is often adulterated by Rhizoma Pinelliae Pedatisectae, which is similar in appearance but less expensive. Accurate identification of these materials is crucial for both scientific an...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Rhizome Pinellia Drug Contamination
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Rapid Mold Detection in Chinese Herbal Medicine Using Enhanced Deep Learning Technology.

Journal of medicinal food Jun 26, 2024
Mold contamination poses a significant challenge in the processing and storage of Chinese herbal medicines (CHM), leading to quality degradation and reduced efficacy. To address this issue, we propose a rapid and accurate detection method for molds i...
Electronic Nose Atractylodes Deep Learning Fungi Drug Contamination Drugs, Chinese Herbal
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Using artificial neural networks to accelerate flowsheet optimization for downstream process development.

Biotechnology and bioengineering May 31, 2023
An optimal purification process for biopharmaceutical products is important to meet strict safety regulations, and for economic benefits. To find the global optimum, it is desirable to screen the overall design space. Advanced model-based approaches ...
Drug Contamination Proteins Chromatography Time Factors Models, Theoretical Neural Networks, Computer
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Analysis of Training Deep Learning Models for PCB Defect Detection.

Sensors (Basel, Switzerland) Mar 2, 2023
Recently, many companies have introduced automated defect detection methods for defect-free PCB manufacturing. In particular, deep learning-based image understanding methods are very widely used. In this study, we present an analysis of training deep...
Data Accuracy Drug Contamination Commerce Industry Deep Learning
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Orthogonal projection to latent structures and first derivative for manipulation of PLSR and SVR chemometric models' prediction: A case study.

PloS one Sep 25, 2019
Novel manipulations of the well-established multivariate calibration models namely; partial least square regression (PLSR) and support vector regression (SVR) are introduced in the presented comparative study. Two preprocessing methods comprising fir...
Calibration Least-Squares Analysis Support Vector Machine Pyridostigmine Bromide Models, Chemical Drug Contamination Spectrophotometry, Ultraviolet Models, Statistical
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Qualification of a chemotherapy-compounding robot.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners Apr 18, 2019
KIRO® Oncology (Kiro Grifols, Spain) is a robotic system for automated compounding of sterile injectable drugs including intravenous cytotoxic treatments. The present article describes the qualification procedure applied prior to production phases. P...
Humans Antineoplastic Agents Robotics Injections Infusions, Intravenous Drug Contamination Spain Drug Compounding Syringes
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Microbiological validation of a robot for the sterile compounding of injectable non-hazardous medications in a hospital environment.

European journal of hospital pharmacy : science and practice Feb 4, 2019
OBJECTIVES: To design and execute a comprehensive microbiological validation protocol to assess a brand-new sterile compounding robot in a hospital pharmacy environment, according to ISO and EU GMP standards.
Reproducibility of Results Drug Contamination Drug Compounding Robotics Asepsis Decontamination Pharmacy Service, Hospital Pharmaceutical Preparations Humans
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Microbiological performance of a robotic system for aseptic compounding of cytostatic drugs.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jan 31, 2019
BACKGROUND: Compounding of cytostatic drugs requires strict aseptic procedures, while exposure to toxic drugs and repetitive manual movements should be minimized. Furthermore, reuse of vials is desirable to lower the costs. To assess if all this migh...
Asepsis Pharmacy Service, Hospital Cytostatic Agents Robotics Drug Compounding Microbiological Phenomena Drug Contamination
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