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Akira Namera

Researcher at Hiroshima University

Publications -  114
Citations -  2250

Akira Namera is an academic researcher from Hiroshima University. The author has contributed to research in topics: Mass spectrometry & Detection limit. The author has an hindex of 27, co-authored 105 publications receiving 2097 citations.

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Comprehensive review of the detection methods for synthetic cannabinoids and cathinones

TL;DR: This review presents the various colorimetric detections, immunochemical assays, gas chromatographic–mass spectrometric methods, and liquid chromatographs proposed for the analysis of synthetic cannabinoids and cathinones.
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Monolith as a new sample preparation material: recent devices and applications.

TL;DR: Monolith was first used as a material for chromatographic separation two decades ago and solid-phase extraction over 10 years, and since then, separation science has undergone a dramatic change owing to advancements in analytical technology.
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A fatal case of MAM-2201 poisoning

TL;DR: A 59-year-old man was found dead in his house, where three sachets containing herbal blends were found on a table and it was concluded that the man’s death was caused by acute intoxication with MAM-2201 and the distribution of the drug in postmortem human tissues and blood was described.
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Rapid analysis of malathion in blood using head space-solid phase microextraction and selected ion monitoring.

TL;DR: A simple and rapid method for analysis of methamphetamine (MA) and amphetamine (AP) in blood was developed using head space-solid phase microextraction (HS-SPME) and gas chromatography-mass spectrometry/electron impact ionization-selected ion monitoring (GC-MS/EI-SIM).
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Advances in monolithic materials for sample preparation in drug and pharmaceutical analysis

TL;DR: Monolithic silica and polymers were modified to suit devices for extraction and enrichment of analytes in matrices for environmental, food and biological analyses as mentioned in this paper, which contributed to miniaturization and automation, which can reduce the time and the cost of sample preparation.