Sandwiching Phosphorene with Iron Porphyrin Monolayer for High Stability and Its Biomimetic Sensor to Sensitively Detect Living Cell Released NO.
Chunmei ZhangFangxin HuXijuan HaoQianghai RaoTao HuWei SunChunxian GuoChang Ming LiPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Instability of 2D phosphorene material is the major obstacle for its broad applications. Herein phosphorene is sandwiched with self-assembled iron porphyrin monolayers on both sides (I-Phene) to significantly enhance stability. Iron porphyrin has strong interaction with phosphorene through formation of PFe bonds. The sandwich structure offers excellent stability of phosphorene by both-sided monolayer protections for an intact phosphorene structure more than 40 days under ambient conditions. Meanwhile, the electron transfer between iron porphyrin and phosphorene result in a high oxidation state of Fe, making I-Phene biomimetic sensitivity toward oxidation of nitric oxide (NO) for 2.5 and 4.0 times higher than phosphorene and iron-porphyrin alone, respectively. Moreover, I-Phene exhibits excellent selectivity, a wide detection range, and a low detection limit at a low oxidation potential of 0.82 V, which is comparable with the reported noble metal based biomimetic sensors while ranking the best among all non-noble biomimetic ones. I-Phene is further used for real-time monitoring NO released from cells. This work provides effective approach against phosphorene degrading for outstanding stability, which has universal significance for its various important applications, and holds a great promise for a highly sensitive biomimetic sensor in live-cell assays.
Keyphrases
- electron transfer
- photodynamic therapy
- metal organic framework
- nitric oxide
- iron deficiency
- hydrogen peroxide
- energy transfer
- induced apoptosis
- label free
- particulate matter
- high resolution
- cell therapy
- loop mediated isothermal amplification
- climate change
- endoplasmic reticulum stress
- mass spectrometry
- big data
- bone marrow
- fluorescent probe
- deep learning
- cell cycle arrest
- human health
- bone regeneration