|
|
|
|
|
|
Fluorescence Detection of Ultratrace Fe3+ Ions Based on Its Catalysis of the New Indicator Reaction between TMB and H2O2 |
LI Dan, LIANG Ai-hui*, JIANG Zhi-liang* |
Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection(Guangxi Normal University)Ministry of Education, Guilin 541004, China |
|
|
Abstract Iron is an essential trace element, which plays an important role in the life process, but excessive intake of ferric iron will reduce the oxygen carrying capacity of the body, causing unstable hemoglobin disease and methemoglobinosis. Whether from the point of view of human health or environmental protection, it is of great significance to explore a simple, rapid, sensitive and selective method for the determination of Fe(Ⅲ). Fluorescence analysis is an excellent method of molecular spectroscopy. It has the characteristics of high sensitivity, good selectivity and simple operation. It has also made good progress in the detection of heavy metal ions. At present, the determination of Fe3+ by fluorescence method has been reported, but some of them have low sensitivity, poor selectivity and toxicity of organic reagent. In this article, a simple, rapid and sensitive fluorescence method for the determination of Fe(Ⅲ) has been developed, using tetramethylbenzidine (TMB) fluorescence reagent. In pH 4.5 Tris-HCl buffer solution at 35 ℃, the reaction of H2O2-TMB was slow. When Fe (Ⅲ)was added, it catalyzed strongly H2O2 oxidization of TMB to form strong oxidized product TMBox with strong fluorescence. Using excited wavelength of 280 nm, TMBox exhibited a strong fluorescence peak at 405 nm, and the fluorescence intensity increased linearly with the increase of Fe(Ⅲ) concentration in a certain range. The fluorescence analysis conditions were optimized by univariate transformation. The pH of Tris-HCl buffer solution was 4.5, its concentration was 3.3×10-4 mol·L-1, the concentration of TMB was 3.0×10-5 mol·L-1, the concentration of H2O2 was 6.0×10-6 mol·L-1, and the reaction time was 35 min at 35 ℃. Under the selected conditions, the fluorescence signal of the system increased linearly at 405 nm with the increase of Fe3+ concentration in the range of 0.027~400 nmol·L-1. The linear equation is F405 nm=2.31c+50.0, the linear correlation coefficient R2 is 0.985, and the detection limit is 0.008 nmol·L-1. According to the procedure, the influence of coexistent substances on the determination of 200 nmol·L-1 Fe3+ was tested, with a relative error of ±10%. Results indicated that 100 times HCO-3,K+,SO2-4,NH+4,Mn2+,Na+,Cu2+,Al3+,Zn2+,F-,Mg2+,Ba2+,Ca2+,Co2+,NO3-,NO2-, 50 times CO2-3,Cr6+, 10 times Hg2+,BSA did not interfere with the determination. It showed that this Fluorescence method had good selectivity. Thus, a simple, rapid, sensitive and highly selective fluorescence method for the determination of Fe (Ⅲ) was developed. Sample solution of dairy products was prepared by the following steps: accurately absorbd 1.4 mL dairy products with 600 L acetic acid (V/V=3%), centrifugated for 3 min at 10 000 r·min-1, then took the centrifugal supernatant 1 mL with 48 L 2.5 mol·L-1 NaOH, mixed well, centrifugated for 3 min at 10 000 r·min-1, and finally piped 1 mL the supernatant, and diluted to 5 mL to get the sample solution. Then the new catalytic fluorescence method was used to determine the content of Fe(Ⅲ) in milk samples, with satisfactory results. The relative standard deviation was 0.29%~0.41%, and the recovery was 94.6%~108.0%.
|
Received: 2018-09-08
Accepted: 2019-01-10
|
|
Corresponding Authors:
LIANG Ai-hui, JIANG Zhi-liang
E-mail: zljiang@mailbox.gxnu.edu.cn; ahliang2008@163.com
|
|
[1] Bai Z, Ren X, Gong Z, et al. Chinese Chem. Lett., 2017, 28:1901.
[2] Guo R, Zhou S, Li Y, et al. ACS Appl. Mater. Inter., 2015, 7:23958.
[3] Wang B, Yang Q, Guo C, et al. ACS Appl. Mater. Inter., 2017, 9:10286.
[4] Li S, Li Y, Cao J, et al. Anal. Chem., 2014, 86: 10201.
[5] Alikhani A, Eftekhari M, Chamsaz M, et al. J. Food Meas. Charact., 2018, 12: 573.
[6] Buduru P, Sundara S R B C. Sensor Actuat B-Chem., 2016, 237: 935.
[7] Khan N, Choi J Y, Nho E Y, et al. Anal. Lett., 2014, 47: 1606.
[8] Chen L, Wu C, Feng X, et al. Talanta, 2017, 164: 100.
[9] Roselyn C P, Ana P R d S, Mauro B. J. Electroanal Chem., 2014, 731: 49.
[10] GONG Ai-qin, JIN Dang-qin, ZHU Xia-shi(龚爱琴,金党琴,朱霞石). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2018, 38(1): 157.
[11] Hu J, Zhuang Q, Wang Y, et al. Analyst, 2016, 141:1822.
[12] Xu Q, Wei J, Wang J, et al. RSC Adv., 2016, 6: 28745.
[13] Zhao L, Xin X, Ding P, et al. Anal. Chim. Acta, 2016, 926: 99.
[14] Lu H, Li J, Zhang M, et al. Sensor Actuat B-Chem, 2017, 244:77.
[15] Zhang L, Du J. Spectrochim Acta A, 2016, 158:24.
[16] Liang A, Wang H, Jiang Z, et al. Food Chem., 2019, 271: 39. |
[1] |
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. |
[2] |
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. |
[3] |
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. |
[4] |
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. |
[5] |
WU Hu-lin1, DENG Xian-ming1*, ZHANG Tian-cai1, LI Zhong-sheng1, CEN Yi2, WANG Jia-hui1, XIONG Jie1, CHEN Zhi-hua1, LIN Mu-chun1. A Revised Target Detection Algorithm Based on Feature Separation Model of Target and Background for Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 283-291. |
[6] |
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. |
[7] |
WANG Ling-juan, OU Quan-hong, YAN Hao, TANG Jun-qi*. Preparation and Catalytic Properties of Gold Nanoflowers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3747-3752. |
[8] |
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. |
[9] |
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. |
[10] |
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. |
[11] |
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. |
[12] |
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. |
[13] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
[14] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[15] |
QI Guo-min1, TONG Shi-qian1, LIN Xu-cong1, 2*. Specific Identification of Microcystin-LR by Aptamer-Functionalized Magnetic Nanoprobe With Laser-Induced Fluorescence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3813-3819. |
|
|
|
|