JIA Baozhu, CAI Meiling, QIU Zhijing, et al. Development of a Ratiometric Fluorescence Sensor for Ascorbic Acid Based on Oxidase-mimicking Activity of CoOOH Nanoflake[J]. Science and Technology of Food Industry, 2022, 43(8): 273−280. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070003.
Citation: JIA Baozhu, CAI Meiling, QIU Zhijing, et al. Development of a Ratiometric Fluorescence Sensor for Ascorbic Acid Based on Oxidase-mimicking Activity of CoOOH Nanoflake[J]. Science and Technology of Food Industry, 2022, 43(8): 273−280. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070003.

Development of a Ratiometric Fluorescence Sensor for Ascorbic Acid Based on Oxidase-mimicking Activity of CoOOH Nanoflake

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  • Received Date: July 01, 2021
  • Available Online: February 15, 2022
  • This work aimed at developing a ratiometric fluorescence sensor for sensitive and accurate detection of ascorbic acid (AA) based on oxidase-mimicking activity of CoOOH nanoflake. CoOOH nanoflake with oxidase-like activity was prepared by using CoCl2 as precursor, NaClO as oxidant through a sonication method. The as-synthesized CoOOH nanoflake was characterized by transmission electron microscopy (TEM), UV–vis absorption, X-ray diffraction (XRD), and Fourier transform infrared (FT-IR) spectra. Control experiments were used to demonstrate the feasibility for constructing the radiometric fluorescent sensor using the as-synthesized CoOOH nanoflake. Single-factor experiments were conducted to optimized the optimal concentration of CoOOH nanoflake and incubation time for AA detection. The results showed that the as-synthesized CoOOH nanoflakes exhibited typical hexagonal plate shape, and other characterization results also were consistent with those in previous works. The optimal concentration of CoOOH nanoflake was 39.1 μmol/L, and the optimal incubation time was 25 min. Under the optimal conditions, it was found that F428/F568 linearly correlated with AA concentration from 0.5 to 10.0 μmol/L with correlation coefficients of 0.9965. The regression equation was y=0.79416x+0.37917 (R2=0.9965) with a limit of detection of 303 nmol/L (RSN=3). The recoveries from fruit juice beverage samples spiked with varying concentrations of AA were in the range of 88.0%~115.9%, and analytical results of the sensor were correlated well with those of national standard method of China. These results indicated that the ratiometric fluorescent sensor had excellent selectivity and accuracy for AA detection, creating a new avenue for rapid detection of AA.
  • [1]
    WANG C, PAN C, WEI Z, et al. Bionanosensor based on N-doped graphene quantum dots coupled with CoOOH nanosheets and their application for in vivo analysis of ascorbic acid[J]. Analytica Chimica Acta,2020,1100:191−199. doi: 10.1016/j.aca.2019.11.008
    [2]
    YANG J, MA Q, HUANG F, et al. A New Fluorimetric method for the determination of ascorbic acid[J]. Analytical Letters,1998,31(15):2757−2766. doi: 10.1080/00032719808005341
    [3]
    CHEN H, LIU Y, LI H, et al. Non-oxidation reduction strategy for highly selective detection of ascorbic acid with dual-ratio fluorescence and colorimetric signals[J]. Sensors and Actuators, 2019, 281: 983−988.
    [4]
    ZHANG Y, ZHAI J L, LI F L, et al. Green synthesis of gold nanoparticles and their application in colorimetric detection of vitamin C[J]. Chinese Journal of Analytical Chemistry,2020,48:1041−1049.
    [5]
    ZHUO S J, FANG J, LI M, et al. Manganese (II)-doped carbon dots as effective oxidase mimics for sensitive colorimetric determination of ascorbic acid[J]. Microchimica Acta,2019,186(12):1−8.
    [6]
    LIU J J, CHEN Y L, WANG W F, et al. "Switch-On" fluorescent sensing of ascorbic acid in food samples based on carbon quantum dots-MnO2 probe[J]. Journal of Agricultural and Food Chemistry,2016,64:371−380. doi: 10.1021/acs.jafc.5b05726
    [7]
    NA W, Li N, SU X. Enzymatic growth of single-layer MnO2 nanosheets in situ: Application to detect alkaline phosphatase and ascorbic acid in the presence of sulfanilic acid functionalized graphene quantum dots[J]. Sensors and Actuators B-Chemical,2018,274:172−179. doi: 10.1016/j.snb.2018.07.116
    [8]
    LIU J J, CHEN Z T, TANG D S, et al. Graphene quantum dots-based fluorescent probe for turn-on sensing ascorbic acid[J]. Sensors Actuators B Chemical,2015,212:214−219. doi: 10.1016/j.snb.2015.02.019
    [9]
    BERGOI I, ARNAU P R, DMITRY B, et al. Electrochemical detection of ascorbic acid in artificial sweat using a flexible alginate/CuO-modified electrode[J]. Microchimica Acta,2020,187(9):3231−223.
    [10]
    CHARLTON H, BONGIWE S, ERIC G, et al. Simultaneous detection of paracetamol, ascorbic acid, and caffeine using a bismuth-silver nanosensor[J]. Electroanalysis,2020,32(12):3098−3107. doi: 10.1002/elan.202060389
    [11]
    纪文亮, 张美宁, 毛兰群. 鼠脑中维生素C活体电化学分析研究进展[J]. 分析化学,2019,47(10):1559−1571. [JI W L, ZHANG M N, MAO L Q, et al. Recent advances on in vivo electrochemical analysis of vitamin C in rat brain[J]. Chinese Journal of Analytical Chemistry,2019,47(10):1559−1571.
    [12]
    ATTILA S, SZENDE V, ISTVÁN K, et al. Quantification of plasma and leukocyte vitamin C by high performance liquid chromatography with mass spectrometric detection[J]. Journal of Analytical Chemistry,2020,75(9):1168−1176. doi: 10.1134/S1061934820090038
    [13]
    赵伟曼, 吕慧娟, 杨伟汉, 等. 高效液相色谱法测定可溶微针贴片中维生素C的含量[J]. 山西医科大学学报, 2019, 50(5): 632−635

    ZHAO W M, LYU H J, YANG W H, et al. Determination of vitamin C in dissolving microneedles by high performance liquid chromatography[J] Journal of Shanxi Medical University, 2019, 50(5): 632−635.
    [14]
    李玉彩, 李响明, 周永妍, 等. RP-HPLC测定含银杏叶提取物的注射液中维生素C的含量[J]. 中国现代中药, 2019, 21(3): 380−382,389

    LI Y C, LI X M, ZHOU Y Y, et al. Determination of vitamin C in injection containing ginkgo leaves extract by RP-HPLC[J] Modern Chinese Medicine, 2019, 21(3): 380−382,389.
    [15]
    LV Y, JIANG C, HU K, et al. In-situ growth of cobalt oxyhydroxide on graphitic-phase C3N4 nanosheets for fluorescence turn-on detection and imaging of ascorbic acid in living cells[J]. Microchimica Acta,2019,186(6):360. doi: 10.1007/s00604-019-3487-5
    [16]
    LI N, ZHONG Y Q, LIU S G, et al. Smartphone assisted colorimetric and fluorescent triple-channel signal sensor for ascorbic acid assay based on oxidase-like CoOOH nanoflakes[J]. Spectrochimica Acta Part a-Molecular and Biomolecular Spectroscopy,2020:238.
    [17]
    LUO L, SONG Y, ZHU C, et al. Fluorescent silicon nanoparticles-based ratiometric fluorescence immunoassay for sensitive detection of ethyl carbamate in red wine[J]. Sensors and Actuators B-Chemical,2018,255:2742−9. doi: 10.1016/j.snb.2017.09.088
    [18]
    ARAFEH B, FOROUGH G, SAMIRA A, et al. Ratiometric fluorescent nanoprobes for visual detection: Design principles and recent advances - A review[J]. Analytica Chimica Acta,2019,1079:30−58. doi: 10.1016/j.aca.2019.06.035
    [19]
    WEN S H, ZHONG X L, WU Y D, et al. Colorimetric assay conversion to highly sensitive electrochemical assay for bimodal detection of arsenate based on cobalt oxyhydroxide nanozyme via arsenate absorption[J]. Analytical Chemistry,2019,91(10):6487−97. doi: 10.1021/acs.analchem.8b05121
    [20]
    LI H, JIN R, KONG D, et al. Switchable fluorescence immunoassay using gold nanoclusters anchored cobalt oxyhydroxide composite for sensitive detection of imidacloprid[J]. Sensors and Actuators B-Chemical,2019,283:207−14. doi: 10.1016/j.snb.2018.12.026
    [21]
    LIU S G, HAN L, LI N, et al. A fluorescence and colorimetric dual-mode assay of alkaline phosphatase activity via destroying oxidase-like CoOOH nanoflakes[J]. Journal of Materials Chemistry B,2018,6(18):2843−50. doi: 10.1039/C7TB03275G
    [22]
    CHUNG H K, INGLE J D. Fluorimetric kinetic method for the determination of total ascorbic acid with o-phenylenediamine[J]. Analytica Chimica Acta,1991,243:89−95. doi: 10.1016/S0003-2670(00)82544-1
    [23]
    LI L, WANG C, LIU K, et al. Hexagonal cobalt oxyhydroxide-carbon dots hybridized surface: highly sensitive fluorescence turn-on probe for monitoring of ascorbic acid in rat brain following brain ischemia[J]. Analytical Chemistry,2015,87(6):3404−11. doi: 10.1021/ac5046609
    [24]
    TAN H, MA C, GAO L, et al. Metal–Organic framework-derived copper nanoparticle@carbon nanocomposites as peroxidase mimics for colorimetric sensing of ascorbic acid[J]. Chemistry–A European Journal,2014,20(49):16377−16383. doi: 10.1002/chem.201404960
    [25]
    DARABDHARA G, SHARMA B, DAS M R, et al. Cu-Ag bimetallic nanoparticles on reduced graphene oxide nanosheets as peroxidase mimic for glucose and ascorbic acid detection[J]. Sensors and Actuators B: Chemical,2017,238:842−851. doi: 10.1016/j.snb.2016.07.106
    [26]
    GAO C, ZHU H, CHEN J, et al. Facile synthesis of enzyme functional metal-organic framework for colorimetric detecting H2O2 and ascorbic acid[J]. Chinese Chemical Letters,2017,28(5):1006−1012. doi: 10.1016/j.cclet.2017.02.011
    [27]
    ZHU J, ZHAO Z, LI J, et al. Fluorescent detection of ascorbic acid based on the emission wavelength shift of CdTe quantum dots[J]. Journal of Luminescence,2017,192:47−55. doi: 10.1016/j.jlumin.2017.06.015
    [28]
    WANG X, LONG C, JIANG Z, et al. In situ synthesis of fluorescent copper nanoclusters for rapid detection of ascorbic acid in biological samples[J]. Analytical Methods,2019,11(36):4580−4585. doi: 10.1039/C9AY01627A
    [29]
    YAN X, He L, ZHOU C, et al. Fluorescent detection of ascorbic acid using glutathione stabilized Au nanoclusters[J]. Chemical Physics,2019,522:211−213. doi: 10.1016/j.chemphys.2019.03.008
    [30]
    MA X, LIN S, DANG Y, et al. Carbon dots as an “on-off-on” fluorescent probe for detection of Cu (II) ion, ascorbic acid, and acid phosphatase[J]. Analytical and Bioanalytical Chemistry,2019,411(25SI):6645−6653.
    [31]
    LIU X, TIAN M, LI C, et al. Polyvinylpyrrolidone-stabilized Pt nanoclusters as robust oxidase mimics for selective detection of ascorbic acid[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects,2021,625:126985. doi: 10.1016/j.colsurfa.2021.126985
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