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Heteroepitaxial Growth of Multiblock Ln-MOF Microrods for Photonic Barcodes.
Yao, Yinan; Gao, Zhenhua; Lv, Yuanchao; Lin, Xianqing; Liu, Yingying; Du, Yuxiang; Hu, Fengqin; Zhao, Yong Sheng.
Afiliação
  • Yao Y; College of Chemistry, Beijing Normal University, Beijing, 100875, China.
  • Gao Z; Key Laboratory of Photochemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
  • Lv Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Lin X; Key Laboratory of Photochemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
  • Liu Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Du Y; Key Laboratory of Photochemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
  • Hu F; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Zhao YS; Key Laboratory of Photochemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190, China.
Angew Chem Int Ed Engl ; 58(39): 13803-13807, 2019 Sep 23.
Article em En | MEDLINE | ID: mdl-31343800
Micro/nanoscale multicolor barcodes with unique identifiability and a small footprint play significant roles in applications such as multiplexed labeling and tracking systems. Now, a strategy is reported to design multicolor photonic barcodes based on 1D Ln-MOF multiblock heterostructures, where the domain-controlled emissive colors and different block lengths constitute the fingerprint of a corresponding heterostructure. The excellent heteroepitaxial growth characteristics of MOFs enable the effective modulation of the coding structures, thereby remarkably increasing the encoding capacity. The as-prepared multicolor barcodes enable an efficient authentication and exhibit great potential in fulfilling the functions of anti-counterfeiting, information security, and so on. The results will pave an avenue to novel hybrid MOFs for optical data recording and security labels.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article