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本文引用的文献

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Investigation Into the Antinfluenza Agent Oseltamivir Distributed via the Internet in Japan.日本通过互联网分发的抗流感药物奥司他韦的调查
Ther Innov Regul Sci. 2013 Nov;47(6):699-705. doi: 10.1177/2168479013500966.
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Evaluation of a new handheld instrument for the detection of counterfeit artesunate by visual fluorescence comparison.通过视觉荧光比较评估一种用于检测假冒青蒿琥酯的新型手持仪器。
Am J Trop Med Hyg. 2014 Nov;91(5):920-924. doi: 10.4269/ajtmh.13-0644. Epub 2014 Sep 29.
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Data processing of vibrational chemical imaging for pharmaceutical applications.用于制药应用的振动化学成像的数据处理。
J Pharm Biomed Anal. 2014 Dec;101:123-40. doi: 10.1016/j.jpba.2014.04.012. Epub 2014 Apr 19.
4
Technologies for detecting falsified and substandard drugs in low and middle-income countries.中低收入国家假药和不合格药品的检测技术。
PLoS One. 2014 Mar 26;9(3):e90601. doi: 10.1371/journal.pone.0090601. eCollection 2014.
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A cross-sectional investigation of the quality of selected medicines in Cambodia in 2010.2010年柬埔寨部分药品质量的横断面调查。
BMC Pharmacol Toxicol. 2014 Mar 5;15:13. doi: 10.1186/2050-6511-15-13.
6
NIH Image to ImageJ: 25 years of image analysis.NIH 图像到 ImageJ:25 年的图像分析。
Nat Methods. 2012 Jul;9(7):671-5. doi: 10.1038/nmeth.2089.
7
Profiling of counterfeit medicines by vibrational spectroscopy.振动光谱法对假药的剖析。
Forensic Sci Int. 2011 Sep 10;211(1-3):83-100. doi: 10.1016/j.forsciint.2011.04.023. Epub 2011 May 26.
8
Terahertz pulsed spectroscopy and imaging for pharmaceutical applications: a review.太赫兹脉冲光谱学和成像技术在药物应用中的研究进展:综述。
Int J Pharm. 2011 Sep 30;417(1-2):48-60. doi: 10.1016/j.ijpharm.2011.01.012. Epub 2011 Jan 13.
9
Analytical challenges in drug counterfeiting and falsification-The NMR approach.药物造假和伪造中的分析挑战- NMR 方法。
J Pharm Biomed Anal. 2011 Jun 25;55(4):679-87. doi: 10.1016/j.jpba.2010.12.017. Epub 2010 Dec 21.
10
Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes.近红外和拉曼光谱法在药物生产过程中的在线监测。
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利用手持式拉曼光谱和X射线计算机断层扫描对假药的物理和化学性质进行分类与可视化

Classification and Visualization of Physical and Chemical Properties of Falsified Medicines with Handheld Raman Spectroscopy and X-Ray Computed Tomography.

作者信息

Kakio Tomoko, Yoshida Naoko, Macha Susan, Moriguchi Kazunobu, Hiroshima Takashi, Ikeda Yukihiro, Tsuboi Hirohito, Kimura Kazuko

机构信息

Analytical Development, Pharmaceutical Sciences, Takeda Pharmaceutical Company, Ltd., Osaka, Japan.

Drug Management and Policy, Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.

出版信息

Am J Trop Med Hyg. 2017 Sep;97(3):684-689. doi: 10.4269/ajtmh.16-0971. Epub 2017 Jul 19.

DOI:10.4269/ajtmh.16-0971
PMID:28722604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5590587/
Abstract

Analytical methods for the detection of substandard and falsified medical products (SFs) are important for public health and patient safety. Research to understand how the physical and chemical properties of SFs can be most effectively applied to distinguish the SFs from authentic products has not yet been investigated enough. Here, we investigated the usefulness of two analytical methods, handheld Raman spectroscopy (handheld Raman) and X-ray computed tomography (X-ray CT), for detecting SFs among oral solid antihypertensive pharmaceutical products containing candesartan cilexetil as an active pharmaceutical ingredient (API). X-ray CT visualized at least two different types of falsified tablets, one containing many cracks and voids and the other containing aggregates with high electron density, such as from the presence of the heavy elements. Generic products that purported to contain equivalent amounts of API to the authentic products were discriminated from the authentic products by the handheld Raman and the different physical structure on X-ray CT. Approach to investigate both the chemical and physical properties with handheld Raman and X-ray CT, respectively, promise the accurate discrimination of the SFs, even if their visual appearance is similar with authentic products. We present a decision tree for investigating the authenticity of samples purporting to be authentic commercial tablets. Our results indicate that the combination approach of visual observation, handheld Raman and X-ray CT is a powerful strategy for nondestructive discrimination of suspect samples.

摘要

检测不合格和伪造医疗产品(SFs)的分析方法对公共卫生和患者安全至关重要。关于如何最有效地应用SFs的物理和化学性质以将其与正品区分开来的研究尚未得到充分调查。在此,我们研究了两种分析方法,即手持式拉曼光谱法(handheld Raman)和X射线计算机断层扫描(X射线CT),用于检测含有坎地沙坦酯作为活性药物成分(API)的口服固体抗高血压药品中的SFs。X射线CT显示了至少两种不同类型的伪造片剂,一种含有许多裂缝和空隙,另一种含有高电子密度的聚集体,例如由于重金属元素的存在。通过手持式拉曼光谱和X射线CT上不同的物理结构,将声称含有与正品等量API的仿制药与正品区分开来。分别用手持式拉曼光谱和X射线CT研究化学和物理性质的方法,即使SFs的外观与正品相似,也有望准确区分它们。我们提出了一个用于调查声称是正品商业片剂的样品真实性的决策树。我们的结果表明,视觉观察、手持式拉曼光谱和X射线CT的联合方法是对可疑样品进行无损鉴别的有力策略。