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Global patent statistical analysis for drug testing technology
BACKGROUND: In recent decades, illicit drug testing has become a high priority area in law enforcement and forensic analysis. OBJECTIVE: Since patents are the largest source of technical information in the world, patent database analysis for illicit drug testing is extremely important to effectively...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150499/ https://www.ncbi.nlm.nih.gov/pubmed/33682778 http://dx.doi.org/10.3233/THC-218039 |
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author | Wang, Ling Zhi, Xu Ke, Haokun Lv, Sainan He, Ning Zhou, Hong Hao, Hongxia |
author_facet | Wang, Ling Zhi, Xu Ke, Haokun Lv, Sainan He, Ning Zhou, Hong Hao, Hongxia |
author_sort | Wang, Ling |
collection | PubMed |
description | BACKGROUND: In recent decades, illicit drug testing has become a high priority area in law enforcement and forensic analysis. OBJECTIVE: Since patents are the largest source of technical information in the world, patent database analysis for illicit drug testing is extremely important to effectively promote the development and protection of the related intellectual property rights. METHODS: In the present study, we first retrieve a database of 1732 drug detection patents using keywords and logical expressions related to the title, abstract, and claims, and subsequently discuss the current global patent statistics in detail. RESULTS: The relevant patent information is presented, including patent application quantity, filing country, ownership, and technical field. CONCLUSIONS: Finally, we summarize the current development trend in drug testing and propose several suggestions focused on the bottleneck of analytical techniques. |
format | Online Article Text |
id | pubmed-8150499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81504992021-06-09 Global patent statistical analysis for drug testing technology Wang, Ling Zhi, Xu Ke, Haokun Lv, Sainan He, Ning Zhou, Hong Hao, Hongxia Technol Health Care Research Article BACKGROUND: In recent decades, illicit drug testing has become a high priority area in law enforcement and forensic analysis. OBJECTIVE: Since patents are the largest source of technical information in the world, patent database analysis for illicit drug testing is extremely important to effectively promote the development and protection of the related intellectual property rights. METHODS: In the present study, we first retrieve a database of 1732 drug detection patents using keywords and logical expressions related to the title, abstract, and claims, and subsequently discuss the current global patent statistics in detail. RESULTS: The relevant patent information is presented, including patent application quantity, filing country, ownership, and technical field. CONCLUSIONS: Finally, we summarize the current development trend in drug testing and propose several suggestions focused on the bottleneck of analytical techniques. IOS Press 2021-03-25 /pmc/articles/PMC8150499/ /pubmed/33682778 http://dx.doi.org/10.3233/THC-218039 Text en © 2021 – The authors. Published by IOS Press. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Ling Zhi, Xu Ke, Haokun Lv, Sainan He, Ning Zhou, Hong Hao, Hongxia Global patent statistical analysis for drug testing technology |
title | Global patent statistical analysis for drug testing technology |
title_full | Global patent statistical analysis for drug testing technology |
title_fullStr | Global patent statistical analysis for drug testing technology |
title_full_unstemmed | Global patent statistical analysis for drug testing technology |
title_short | Global patent statistical analysis for drug testing technology |
title_sort | global patent statistical analysis for drug testing technology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150499/ https://www.ncbi.nlm.nih.gov/pubmed/33682778 http://dx.doi.org/10.3233/THC-218039 |
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