|
|
|
|
|
|
A Contactless Self-Calibration Temperature Sensor Based on the Rare-Earth Fluorescence |
HUANG Yan-jie1, GUAN Yan2*, KE Can2, ZHOU Jin-yan1, HUANG Zi-chen1, HUANG Zhen-yu1, ZHANG Xiang1 |
1. Guangdong Provincial Institute of Metrology, Guangzhou 510405, China
2. College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China |
|
|
Abstract A contactless self-calibration temperature sensor based on the rare-earth fluorescence was developed. The new temperature sensing film Yb@PSMM was prepared by dispersed K[Yb(Az)4] in poly (styrene-block-methyl methacrylate) and then attached to a clean quartz plate, and the optical properties of Yb3+ in this system under different temperature were investigated. The shape of the fluorescence emission spectrum of Yb3+ changed regularly with temperature, and the distribution of extra-nuclear electrons in the Stark cleavage sublevels of Yb3+ at different temperatures still obeyed Boltzmann distribution law. The natural logarithm (ln) of the ratio of the two characteristic emission peak areas at 900~990 and 990~1 150 nm in the fluorescence spectrum linearly varied with the reciprocal of temperature (1/T) from -195 to 105 ℃. Upon using this linear relation as the standard curve, this temperature sensing method exhibited a temperature resolution of 0.1 ℃ around 0 ℃. Compared with the reported luminescence temperature sensors, the new temperature sensor proposed in this paper had advantages as follows. Firstly, the Stokes shift of the selected luminescent material was larger than 500 nm, which effectively avoided the interference of environmental backgrounds. Secondly, due to the use of fluorescence integrated peak areas instead of fluorescence intensities, the influence of random errors introduced by the instrument or measurement was greatly reduced. Thirdly, by taking advantage of the radiometric relationship between the intensities of different fluorescence peaks in one compound, a reliable self-calibration was introduced in this system equality, which effectively reduced the influence of external factors such as the variation of fluorescent material concentration, geometric configuration, or light source intensity. Fourthly, as a rare-earth luminescence material, the sensing method could utilize the characteristics of long fluorescence lifetime, good fluorescence monochromaticity, and high fluorescence intensities. Fifthly, the temperature sensing film was almost insoluble and indiffusible in water, which was convenient for direct measurement of the in-situ temperature changes. Lastly, Yb3+emission was from 900 to 1 150 nm, due to the deep penetration of near infrared light, this temperature sensor would have a wide potential use in temperature-sensing and imaging of complex system. Further ensuring method for the measurement results of the temperature sensor was adopted in our measurement device: the irradiated spot size on the sample could be adjusted to be about 1 mm2, and the angle between the placement direction of Yb@PSMM film and the excitation light was set to be 225°. Thus, the influence of the reflected light was circumvented, but the fluorescent emission light was hardly affected.
|
Received: 2018-04-04
Accepted: 2018-09-08
|
|
Corresponding Authors:
GUAN Yan
E-mail: yanguan@pku.edu.cn
|
|
[1] Wang X D, Wolfbeis O S, Meier R J. Chemical Society Reviews, 2013, 42(19): 7834.
[2] McLaurin E J, Bradshaw L R, Gamelin D R. Chemistry of Materials, 2013, 25(8): 1283.
[3] Miyata K, Konno Y, Nakanishi T, et al. Angewandte Chemie International Edition, 2013, 52(25): 6413.
[4] Kucsko G, Maurer P C, Yao N Y, et al. Nature, 2013, 500(7460): 54.
[5] Lin F, Pei D, He W, et al. Journal of Materials Chemistry, 2012, 22(23): 11801.
[6] Schäferling M. Angewandte Chemie International Edition, 2012, 51(15): 3532.
[7] Feng J, Xiong L, Wang S, et al. Advanced Functional Materials, 2013, 23(3): 340.
[8] Tang M, Huang Y, Wang Y, et al. Dalton Transations, 2015, 44(16): 7449.
[9] Wang F, Huang Y, Chai Z, et al. Chemical Science, 2016, 7(12): 6887.
[10] D’Aléo A, Bourdolle A, Brustlein S, et al. Angewandte Chemie, 2012, 124(27): 6726.
[11] Zhang T, Zhu X, Cheng C C, et al. Journal of the American Chemical Society, 2011, 133(50): 20120.
[12] Zhang J, Petoud S. Chemistry-A European Journal, 2008, 14(4): 1264.
[13] Zhang J Y, Chen S, Wang P, et al. Nanoscale, 2017, 9(8): 2706. |
[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] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
[3] |
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. |
[4] |
XIA Ming-ming1, 2, LIU Jia3, WU Meng1, 2, FAN Jian-bo1, 2, LIU Xiao-li1, 2, CHEN Ling1, 2, MA Xin-ling1, 2, LI Zhong-pei1, 2, LIU Ming1, 2*. Three Dimensional Fluorescence Characteristics of Soluble Organic Matter From Different Straw Decomposition Products Treated With Calcium Containing Additives[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 118-124. |
[5] |
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. |
[6] |
GU Yi-lu1, 2,PEI Jing-cheng1, 2*,ZHANG Yu-hui1, 2,YIN Xi-yan1, 2,YU Min-da1, 2, LAI Xiao-jing1, 2. Gemological and Spectral Characterization of Yellowish Green Apatite From Mexico[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 181-187. |
[7] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[8] |
LIU Wei1, 2, ZHANG Peng-yu1, 2, WU Na1, 2. The Spectroscopic Analysis of Corrosion Products on Gold-Painted Copper-Based Bodhisattva (Guanyin) in Half Lotus Position From National Museum of China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3832-3839. |
[9] |
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. |
[10] |
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. |
[11] |
WANG Hong-jian1, YU Hai-ye1, GAO Shan-yun1, LI Jin-quan1, LIU Guo-hong1, YU Yue1, LI Xiao-kai1, ZHANG Lei1, ZHANG Xin1, LU Ri-feng2, SUI Yuan-yuan1*. A Model for Predicting Early Spot Disease of Maize Based on Fluorescence Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3710-3718. |
[12] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[13] |
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. |
[14] |
SONG Yi-ming1, 2, SHEN Jian1, 2, LIU Chuan-yang1, 2, XIONG Qiu-ran1, 2, CHENG Cheng1, 2, CHAI Yi-di2, WANG Shi-feng2,WU Jing1, 2*. Fluorescence Quantum Yield and Fluorescence Lifetime of Indole, 3-Methylindole and L-Tryptophan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3758-3762. |
[15] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
|
|
|
|