Javascript must be enabled to continue!
Innovative Strategy for Counterfeit Analysis
View through CrossRef
Currently, counterfeit medicine is a significant issue for the pharmaceutical world, and it targets all types of therapeutic areas. The health consequences are appalling, since counterfeit medicines can contain impurities and the wrong chemical composition, and can be manufactured and/or stored in dreadful conditions. The provision of fast and reliable analytical tools can contribute to an efficient fight against this phenomenon. In this paper, an analytical strategy based on mobile and forensic laboratories is presented. The mobile equipment, composed of handheld x-ray fluorescence, Raman, infrared, and near-infrared spectrometers, and a handheld microscope, can be used as a first screening tool to detect counterfeits. The counterfeits can then be confirmed in a forensic-dedicated lab in which the chemical composition of the counterfeits is determined to evaluate the danger encountered by the patients. Relevant links with former counterfeit cases then can be revealed based on the analytical data, and can be interpreted from a forensic intelligence perspective in order to provide additional information for law enforcement.
Title: Innovative Strategy for Counterfeit Analysis
Description:
Currently, counterfeit medicine is a significant issue for the pharmaceutical world, and it targets all types of therapeutic areas.
The health consequences are appalling, since counterfeit medicines can contain impurities and the wrong chemical composition, and can be manufactured and/or stored in dreadful conditions.
The provision of fast and reliable analytical tools can contribute to an efficient fight against this phenomenon.
In this paper, an analytical strategy based on mobile and forensic laboratories is presented.
The mobile equipment, composed of handheld x-ray fluorescence, Raman, infrared, and near-infrared spectrometers, and a handheld microscope, can be used as a first screening tool to detect counterfeits.
The counterfeits can then be confirmed in a forensic-dedicated lab in which the chemical composition of the counterfeits is determined to evaluate the danger encountered by the patients.
Relevant links with former counterfeit cases then can be revealed based on the analytical data, and can be interpreted from a forensic intelligence perspective in order to provide additional information for law enforcement.
Related Results
Prevention of Counterfeit Material in Oil and Gas Industry
Prevention of Counterfeit Material in Oil and Gas Industry
Abstract
Objectives/Scope
Counterfeit material is a serious hidden risk that jeopardizes functionality, performance and reliabil...
Assessment of awareness and attitude towards counterfeit medicines among pharmacy professionals working in community drug retail outlets in Harar town, Ethiopia
Assessment of awareness and attitude towards counterfeit medicines among pharmacy professionals working in community drug retail outlets in Harar town, Ethiopia
Background: Counterfeit medicines are drugs which are deliberately and fraudulently mislabeled with respect to identity and/or source. According to the WHO 2017 report, about 1% of...
Health Care Providers’ Knowledge, Attitude and Practice Toward Counterfeit Medicines in Mizan-Tepi University Teaching Hospital, South West Ethiopia: A Cross-Sectional Study
Health Care Providers’ Knowledge, Attitude and Practice Toward Counterfeit Medicines in Mizan-Tepi University Teaching Hospital, South West Ethiopia: A Cross-Sectional Study
There is a paucity of evidence-based information regarding healthcare professionals’ awareness and views toward counterfeit medicines in developing countries. Therefore; this is ai...
Predicting Counterfeits from Smartphone Multi-Images Using Deep Learning
Predicting Counterfeits from Smartphone Multi-Images Using Deep Learning
Counterfeiting is a pervasive issue in the collectible card market, posing significant risks to collectors, investors, and the industry at large. The trade of counterfeit cards not...
Counterfeit Detection using Deep Learning
Counterfeit Detection using Deep Learning
Detecting counterfeit currency is a critical issue that has gained increasing attention in recent years. Deep learning techniques have shown significant promise in a variety of ima...
Counterfeit Luxury Consumption in a Social Context: The Effects on Females’ Moral Disengagement and Behavior
Counterfeit Luxury Consumption in a Social Context: The Effects on Females’ Moral Disengagement and Behavior
What happens when females use counterfeit luxury products in a social context? The authors show that counterfeit users view social interactions they have with other people as a pos...
The role of hope and attitude in luxury counterfeit purchase intention
The role of hope and attitude in luxury counterfeit purchase intention
Purpose – This study aims to investigate the emotion hope for social status and attitude toward counterfeit goods as predictors of consumers’ intention to purchase counterfeit prod...
Non‐price determinants of intention to purchase counterfeit goods
Non‐price determinants of intention to purchase counterfeit goods
Counterfeiting is a serious problem besetting an increasing number
of industries. It affects not only products whose brand name is
synonymous with its quality or flavour, but also ...

