Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

A compact imaging system with a CdTe double-sided strip detector for non-destructive analysis using negative muonic X-rays

M. Katsuragawa, M. Tampo, Koji Hamada, Atsushi Harayama, Yasuhiro Miyake, Sayuri Oshita, Goro Sato, Tadayuki Takahashi, Shin׳ichiro Takeda, Shin Watanabe, Goro Yabu

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2017

Read source ↗ All evidence

Summary

This paper reports the design and performance characterisation of a novel compact imaging detector system based on CdTe double-sided strip technology, configured for non-destructive elemental analysis using muonic X-rays. Muonic X-ray analysis offers element-specific detection without sample destruction, potentially applicable to environmental or material composition studies. The work appears to focus on advancing detector technology and instrumentation rather than agricultural or nutritional outcomes directly.

UK applicability

This is a fundamental physics instrumentation paper with potential future applications to non-destructive analysis of soil, plant tissue, or food samples; however, no direct evidence in the title or journal context suggests application to UK farming or food systems. Adoption would require further development and validation in agricultural or food science contexts.

Key measures

Detector performance specifications, imaging resolution, elemental detection sensitivity, system compactness and operational characteristics

Outcomes reported

The study describes development and characterisation of a compact imaging system using a CdTe double-sided strip detector for non-destructive elemental analysis via negative muonic X-rays. The system's capability to detect and map elemental composition in samples is reported.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Laboratory instrument development and validation
Source type
Peer-reviewed study
Status
Published
Geography
Japan
System type
Laboratory / in vitro
DOI
10.1016/j.nima.2017.11.004
Catalogue ID
BFmohg5fgd-pu6s37

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.