|
|
|
|
|
|
Research Progress of Near-Infrared Fluorescent Probes for Hydrogen Sulfide |
SONG Jiang-tao, YUAN Yue-hua, ZHU Yong-jun, WANG Yu-zhen, TIAN Mao-zhong*, FENG Feng* |
College of Chemistry and Chemical Engineering, Shanxi Provincial Key Laboratory of Chemical Biosensing, Shanxi Datong University, Datong 037009, China
|
|
|
Abstract Hydrogen sulfide (H2S) is a colorless gas with the unpleasant smell of rotten eggs. It not only exists in the environment but was also considered the third important endogenous gaseous transmitter following nitric oxide (NO) and carbon monoxide (CO) in biological systems. H2S has recently attracted more attention for contributing to human health and disease. H2S has important biological functions and has been recognized as a cytoprotectant and gasotransmitter in many tissue types, including mediating vascular tone in blood vessels and neuromodulation in the brain. Hydrogen sulfide concentration has been demonstrated to be closely correlated with particular diseases in modern medical research, such as diabetes, Alzheimer’s disease and Parkinson’s disease. The molecular mechanisms by which H2S affects cell signaling and other physiological events remain unclear. Therefore, it is necessary to develop highly sensitive and selective methods for detecting the concentration of H2S in living cells and organisms. The near-infrared fluorescent probe for detecting H2S has been the research hotspot. Near-infrared (NIR) fluorescent probes have several significant advantages for imaging applications in vivo: negligible photodamage, deep tissue penetration, and low interference from background auto fluorescence. Many new methods for visualizing H2S in living systems have been reported. At the molecular level, H2S exhibits unique chemical characteristics, acting as a good reducing agent and a good nucleophile. Thus the main strategies used in NIR fluorescent probe development for H2S detection include azide and nitro group reduction, nucleophilic attack, addition reaction, etc. Herein, the design and synthesis, recognition mechanism, properties of NIR fluorescent probes for H2S and their fluorescence imaging in cells and organisms and the latest research progress reported in recent three years have been reviewed. Finally, in our opinion, the future research direction and development trend of this kind of probes are prospect.
|
Received: 2021-09-03
Accepted: 2022-03-01
|
|
Corresponding Authors:
TIAN Mao-zhong, FENG Feng
E-mail: tmzhong2002@163.com; feng-feng64@263.net
|
|
[1] Wang J, Huo F, Yue Y, et al. Luminescence, 2020, 35(8): 1156.
[2] Jose D A, Sakla R, Sharma N, et al. ACS Sensors, 2020, 5(11): 3365.
[3] Qian M, Zhang L W, Pu Z J, et al. J. Mater. Chem. B, 2018, 6(47): 7916.
[4] Lin X F, Lu X H, Zhou J L, et al. Spectrochim. Acta A, 2019, 213: 416.
[5] Zhao X J, Li Y T, Jiang Y R, et al. Talanta, 2019, 197: 326.
[6] Zhong K L, He Y Q, Deng L L, et al. Anal. Chim. Acta, 2020, 1127: 49.
[7] Gong S Y, Zhou E B, Hong J X, et al. Ana. Chem., 2019, 91(20): 13136.
[8] Huang X T, Liu H Y, Zhang J W, et al. New J. Chem., 2019, 43(18): 6848.
[9] Zhang Y M, Chen Y C, Bai Y, et al. Analyst, 2020, 145(12): 4233.
[10] Wei H G, Liu Y J, Zhao X D. Bioorg. Med. Chem. Lett., 2020, 30(13): 127221.
[11] Li Q Y, Wang Z C, Zhao M, et al. Sens. Actuators B Chem., 2019, 298: 126898.
[12] Hong J X, Feng W Y, Feng G Q. Sens. Actuators B Chem., 2018, 262: 837.
[13] Feng S M, Xia Q F, Feng G Q. Dyes Pigments, 2019, 163: 447.
[14] Dou K, Feng W Q, Fan C, et al. Anal. Chem., 2021, 93(8): 4006.
[15] Chen Z Y, Mu X L, Han Z, et al. J. Am. Chem. Soc., 2019, 141(45): 17973.
[16] Wang R C, Dong K K, Xu G, et al. Chem. Sci., 2019, 10(9): 2785.
[17] Wang R C, Gu X F, Li Q Z, et al. J. Am. Chem. Soc., 2020, 142(35): 15084.
[18] Wen Y, Huo F J, Wang J P, et al. J. Mater. Chem. B, 2019, 7(43): 6855.
[19] Zhou T T, Yang Y T, Zhou K Y, et al. Sens. Actuators B Chem., 2019, 301: 127116.
[20] Yao X F, Liu W W, Zhu W C, et al. Chem. Commun., 2020, 56(58): 8111.
[21] Wu Q, Yin C X, Wen Y, et al. Sens. Actuators B Chem., 2019, 288: 507.
[22] Kumar K, Kaur S, Kaur S, et al. J. Photoch. Photobio. A, 2020, 388.
[23] Men J X, Yang X J, Zhang H B, et al. Dyes Pigments, 2018, 153: 206.
[24] Wang J P, Wen Y, Huo F J, et al. Sens. Actuators B Chem., 2019, 297: 126773.
[25] Ma J L, Li F F, Li Q, et al. New J. Chem., 2018, 42(23): 19272.
[26] Du Y, Wang H, Zhang T, et al. Spectrochim. Acta A, 2022, 265: 120390.
[27] Shi B, Ren N, Gu L Y, et al. Angew. Chem. Int. Ed., 2019, 58(47): 16826.
[28] Li X, Zhao H, Ji Y, et al. Acs Appl. Mater. Inter., 2018, 10(46): 39544.
[29] Wu L Y, Sun Y D, Sugimoto K, et al. J. Am. Chem. Soc., 2018, 140(47): 16340.
[30] Xu G, Yan Q, Lv X, et al. Angew. Chem. Int. Ed., 2018, 57(14): 3626.
[31] Deng Z, Jiang M, Li Y, et al. iScience, 2019, 17: 217.
|
[1] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[2] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[3] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[4] |
HE Qing-yuan1, 2, REN Yi1, 2, LIU Jing-hua1, 2, LIU Li1, 2, YANG Hao1, 2, LI Zheng-peng1, 2, ZHAN Qiu-wen1, 2*. Study on Rapid Determination of Qualities of Alfalfa Hay Based on NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3753-3757. |
[5] |
YI Min-na1, 2, 3, CAO Hui-min1, 2, 3*, LI Shuang-na-si1, 2, 3, ZHANG Zhu-shan-ying1, 2, 3, ZHU Chun-nan1, 2, 3. A Novel Dual Emission Carbon Point Ratio Fluorescent Probe for Rapid Detection of Lead Ions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3788-3793. |
[6] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[7] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
[8] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[9] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
[10] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
[11] |
HE Yan-ping, WANG Xin, LI Hao-yang, LI Dong, CHEN Jin-quan, XU Jian-hua*. Room Temperature Synthesis of Polychromatic Tunable Luminescent Carbon Dots and Its Application in Sensitive Detection of Hemoglobin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3365-3371. |
[12] |
ZHANG Shu-fang1, LEI Lei2, LEI Shun-xin2, TAN Xue-cai1, LIU Shao-gang1, YAN Jun1*. Traceability of Geographical Origin of Jasmine Based on Near
Infrared Diffuse Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3389-3395. |
[13] |
YANG Qun1, 2, LING Qi-han1, WEI Yong1, NING Qiang1, 2, KONG Fa-ming1, ZHOU Yi-fan1, 2, ZHANG Hai-lin1, WANG Jie1, 2*. Non-Destructive Monitoring Model of Functional Nitrogen Content in
Citrus Leaves Based on Visible-Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3396-3403. |
[14] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[15] |
HUANG Meng-qiang1, KUANG Wen-jian2, 3*, LIU Xiang1, HE Liang4. Quantitative Analysis of Cotton/Polyester/Wool Blended Fiber Content by Near-Infrared Spectroscopy Based on 1D-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3565-3570. |
|
|
|
|