Enhanced Stability of Melt‐Processable Organic–Inorganic Hybrid Manganese Halides for X‐Ray Imaging

Mn-based metal halides scintillators with high photoluminescence quantum yield (PLQY) have recently emerged as promising large-size candidates for X-ray imaging but still remains as difficult challenge in stability and high processing temperatures. Here, three manganese halides are designed by introducing branched chains into organic cations and extending the carbon chains, namely (i-PrTPP)<sub>2</sub>MnBr<sub>4</sub>, (i-BuTPP)<sub>2</sub>MnBr<sub>4</sub> and (i-AmTPP)<sub>2</sub>MnBr<sub>4</sub>, successfully lowered the melting point of manganese halides to 120.2 °C. Three materials show striking light yields of 59 000, 40 000, and 52 000 photons MeV<sup>-1</sup>, respectively. The lowest detection limits are 42.30, 50.92, and 45.71 nGy s<sup>-1</sup>, respectively. Meanwhile, compared to their counterparts with linear carbon chains, the introduction of branched chains has significantly enhanced the stability of the scintillators in the glass state. A transparent glass has been prepared using a melt-quenching method, which exhibited 80% transmittance at 400-700 nm. The glass is utilized for X-ray imaging, achieving a high spatial resolution up to 46.6 lp mm<sup>-1</sup>. This result provides a new approach to enhancing the performance of such scintillator materials.

Authors

Institutions

Publication Details

Journal
Small
Published
2024-10-24
DOI
https://doi.org/10.1002/smll.202406032
Citations
30
Primary Topic
Luminescence Properties of Advanced Materials
Type
article
Field-Weighted Citation Impact
3.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Stability of Melt‐Processable Organic–Inorganic Hybrid Manganese Halides for X‐Ray Imaging

Mei‐Jin Lin, Chongfeng Guo, Shichuan Chen, Huanghao Yang et al.
30 citations
Small
Luminescence Properties of Advanced Materials
3.51
article

Enhanced Stability of Melt‐Processable Organic–Inorganic Hybrid Manganese Halides for X‐Ray Imaging

Mei‐Jin Lin, Chongfeng Guo, Shichuan Chen, Huanghao Yang, Yi‐Ming Di, Xin Fang, Shan‐Ci Chen
article en
30 citations

Abstract

Mn-based metal halides scintillators with high photoluminescence quantum yield (PLQY) have recently emerged as promising large-size candidates for X-ray imaging but still remains as difficult challenge in stability and high processing temperatures. Here, three manganese halides are designed by introducing branched chains into organic cations and extending the carbon chains, namely (i-PrTPP)<sub>2</sub>MnBr<sub>4</sub>, (i-BuTPP)<sub>2</sub>MnBr<sub>4</sub> and (i-AmTPP)<sub>2</sub>MnBr<sub>4</sub>, successfully lowered the melting point of manganese halides to 120.2 °C. Three materials show striking light yields of 59 000, 40 000, and 52 000 photons MeV<sup>-1</sup>, respectively. The lowest detection limits are 42.30, 50.92, and 45.71 nGy s<sup>-1</sup>, respectively. Meanwhile, compared to their counterparts with linear carbon chains, the introduction of branched chains has significantly enhanced the stability of the scintillators in the glass state. A transparent glass has been prepared using a melt-quenching method, which exhibited 80% transmittance at 400-700 nm. The glass is utilized for X-ray imaging, achieving a high spatial resolution up to 46.6 lp mm<sup>-1</sup>. This result provides a new approach to enhancing the performance of such scintillator materials.

SmallVol. 20(52)
Fuzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Openalex Percentile: Top 4%
Luminescence Properties of Advanced Materials
3.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.