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Research Article | Open Access

Highly-sensitive electrochemiluminescence biosensor for detection of inosine monophosphate in meat based on graphdiyne/AuNPs/luminol nanocomposites

Jing Liua,1Yizhong Shenb,1Guangxian WangaYaodong XiangaYemin GuoaXia Suna( )Yuan Liuc( )
School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China
School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China

1 These authors contribute equally to this paper and should be considered as co-first author.Peer review under responsibility of KeAi Communications Co., Ltd.]]>

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Abstract

Inosine monophosphate (IMP), as a critical umami substance, is one of the most important indicators for evaluating the quality of meat products. Here, a sensitive electrochemiluminescence (ECL) biosensor based on graphdiyne (GDY)/AuNPs/luminol nanocomposites was constructed to detect IMP. The GDY/AuNPs/luminol nanocomposites were synthesized by using simple one-pot method. GDY utilized its 2D framework to disperse and fix gold nanoparticles, which inhibited the agglomeration of gold nanoparticles and greatly improved its stability and catalytic properties. Importantly, GDY/AuNPs/luminol nanocomposites showed excellent catalytic ability and superior ECL activity towards luminol-H2O2 systems due to the synergistic effect of GDY and AuNPs. Under optimal conditions, the prepared biosensor exhibited a wide linear range from 0.01 g/L to 20 g/L, a satisfactory limit detection of 0.0013 g/L, as well as an excellent specificity. Moreover, we carried out the precise analysis of IMP in actual meat samples with acceptable results compared to the liquid chromatography. We believe that this work could offer an efficient ECL platform for accurate and reliable report of IMP levels, which is significant for maintaining food quality and safety.

References

[1]

N. Zhang, C. Ayed, W. Wang, et al., Sensory-guided analysis of key taste-active compounds in pufferfish (Takifugu obscurus), J. Agric. Food Chem. 67 (2019) 13809-13816. https://doi.org/10.1021/acs.jafc.8b06047.

[2]

W. Wang, X. Zhou, Y. Liu, Characterization and evaluation of umami taste: a review, Trends Analyt. Chem. 127 (2020) 115876. https://doi.org/10.1016/j.trac.2020.115876.

[3]

M. Tikk, K. Tikk, M.A. Torngren, et al., Development of inosine monophosphate and its degradation products during aging of pork of different qualities in relation to basic taste and retronasal flavor perception of the meat, J. Agric. Food Chem. 54 (2006) 7769-7777. https://doi.org/10.1021/jf060145a.

[4]

Y. Zhu, Y.P. Chen, C. Ayed, et al., An on-line study about consumers' perception and purchasing behavior toward umami seasonings in China, Food Control 110 (2020) 107037. https://doi.org/10.1016/j.foodcont.2019.107037.

[5]

L. Meinert, K. Tikk, M. Tikk, et al., Influence of flavour precursor concentrations in longissimus dorsi from pigs with different raw meat qualities, Meat Sci. 81 (2009) 255-262. https://doi.org/10.1016/j.meatsci.2008.07.031.

[6]

A.S. Hernández-Cázares, M.C. Aristoy, F. Toldrá, Nucleotides and their degradation products during processing of dry-cured ham, measured by HPLC and an enzyme sensor, Meat Sci. 87 (2011) 125-129. https://doi.org/10.1016/j.meatsci.2010.09.010.

[7]

G. Bischof, F. Witte, N. Terjung, et al., Analysis of aging type- and aging time-related changes in the polar fraction of metabolome of beef by 1H NMR spectroscopy, Food Chem. 342 (2021) 128353. https://doi.org/10.1016/j.foodchem.2020.128353.

[8]

X. Qiu, D. Itoh, T. Satake, et al., Microdevice with integrated multi-enzyme sensors for the measurement of pork freshness, Sens. Actuators B Chem. 235 (2016) 535-540. https://doi.org/10.1016/j.snb.2016.05.074.

[9]

W. Chen, Y. Huang, S. Jiang, et al., Research on sensing characteristics of three human umami receptors via receptor-based biosensor, Flavour Fragr. J. 35 (2020) 1-8. https://doi.org/10.1002/ffj.3608.

[10]

N. Zhang, X. Wei, Y. Fan, et al., Recent advances in development of biosensors for taste-related analyses, Trends Analyt. Chem. 129 (2020) 115925. https://doi.org/10.1016/j.trac.2020.115925.

[11]

C. Sun, L. Gao, D. Wang, et al., Biocompatible polypyrrole-block copolymer-gold nanoparticles platform for determination of inosine monophosphate with bi-enzyme biosensor, Sens. Actuators B Chem. 230 (2016) 521-527. https://doi.org/10.1016/j.snb.2016.02.111.

[12]

G.X. Wang, J.F. Sun, Y. Yao, et al., Detection of inosine monophosphate (IMP) in meat using double-enzyme sensor, Food Anal. Methods 13 (2020) 420-432. https://doi.org/10.1007/s12161-019-01652-y.

[13]

A. Fiorani, J.P. Merino, A. Zanut, et al., Advanced carbon nanomaterials for electrochemiluminescent biosensor applications, Curr. Opin. Electrochem. 16 (2019) 66-74. https://doi.org/10.1016/j.coelec.2019.04.018.

[14]

P. Bertoncello, A.J. Stewart, L. Dennany, Analytical applications of nanomaterials in electrogenerated chemiluminescence, Anal. Bioanal. Chem. 406 (2014) 5573-5587. https://doi.org/10.1007/s00216-014-7946-x.

[15]

G. Valenti, S. Scarabino, B. Goudeau, et al., Single cell electrochemiluminescence imaging: from the proof-of-concept to disposable device-based analysis, J. Am. Chem. Soc. 139 (2017) 16830-16837. https://doi.org/10.1021/jacs.7b09260.

[16]

M. Sentic, F. Virgilio, A. Zanut, et al., Microscopic imaging and tuning of electrogenerated chemiluminescence with boron-doped diamond nanoelectrode arrays, Anal. Bioanal. Chem. 408 (2016) 7085-7094. https://doi.org/10.1007/s00216-016-9504-1.

[17]

H. Zhu, D.C. Jiang, J.J. Zhu, High-resolution imaging of catalytic activity of a single graphene sheet using electrochemiluminescence microscopy, Chem. Sci. 12 (2021) 4794-4799. https://doi.org/10.1039/D0SC06967A.

[18]

S.R. Chinnadayyala, J. Park, H.T.N. Le, et al., Recent advances in microfluidic paper-based electrochemiluminescence analytical devices for point-of-care testing applications, Biosens. Bioeletron. 126 (2019) 68-81. https://doi.org/10.1016/j.bios.2018.10.038.

[19]

L. Li, Y. Chen, J.J. Zhu, Recent advances in electrochemiluminescence analysis, Anal. Chem. 89 (2017) 358-371. https://doi.org/10.1021/acs.analchem.6b04675.

[20]

G. Ma, J. Zhou, C. Tian, et al., Luminol electrochemiluminescence for the analysis of active cholesterol at the plasma membrane in single mammalian cells, Anal. Chem. 85 (2013) 3912-3917. https://doi.org/10.1021/ac303304r.

[21]

D.P. Yang, W. Guo, Z. Cai, et al., Highly sensitive electrochemiluminescence biosensor for cholesterol detection based on AgNPs-BSA-MnO2 nanosheets with superior biocompatibility and synergistic catalytic activity, Sens. Actuators B Chem. 260 (2018) 642-649. https://doi.org/10.1016/j.snb.2018.01.096.

[22]

X. Jiang, Y. Chai, H. Wang, et al., Electrochemiluminescence of luminol enhanced by the synergetic catalysis of hemin and silver nanoparticles for sensitive protein detection, Biosens. Bioeletron. 54 (2014) 20-26. https://doi.org/10.1016/j.bios.2013.10.006.

[23]

J. Adhikari, M. Rizwan, N.A. Keasberry, et al., Current progresses and trends in carbon nanomaterials-based electrochemical and electrochemiluminescence biosensors, J. Chin. Chem. Soc. 67 (2020) 937-960. https://dx.doi.org/10.1002/jccs.

[24]

X. Feng, R. Li, X. Yang, et al., Application of novel carbon nanomaterials to electrochemistry, Prog. Chem. 24 (2012) 2158-2166. https://doi.org/10.1016/j.tsf.2007.06.087.

[25]

G. Jarre, S. Heyer, E. Memmel, Synthesis of nanodiamond derivatives carrying amino functions and quantification by a modified Kaiser test, Beilstein J. Org. Chem. 10 (2014) 2729-2737. https://doi.org/10.3762/bjoc.10.288.

[26]

R. Zou, X. Teng, Y. Lin, et al., Graphitic carbon nitride-based nanocomposites electrochemiluminescence systems and their applications in biosensors, Trends Analyt. Chem. 132 (2020) 116054. https://doi.org/10.1016/j.trac.2020.116054.

[27]

X. Dang, H. Zhao, Graphdiyne: a promising 2D all-carbon nanomaterial for sensing and biosensing, Trends Analyt. Chem. 137 (2021) 116194. https://doi.org/10.1016/j.trac.2021.116194.

[28]

Y. Gong, L. Shen, Z. Kang, et al., Progress in energy-related graphyne-based materials: advanced synthesis, functional mechanisms and applications, J. Mater. Chem. A 8 (2020) 21408-21433. https://doi.org/10.1039/D0TA08521A.

[29]

L. Wu, J. Gao, X. Lu, et al., Graphdiyne: a new promising member of 2D all-carbon nanomaterial as robust electrochemical enzyme biosensor platform, Carbon. 156 (2020) 568-575. https://doi.org/10.1016/j.carbon.2019.09.086.

[30]

N. Parvin, Q. Jin, Y.Z. Wei, et al., Few-layer graphdiyne nanosheets applied for multiplexed real-time DNA detection, Adv. Mater. 29 (2017) 6755. https://doi.org/10.1002/adma.201606755.

[31]

X. Chen, S. Zhang, Modulation of molecular sensing properties of graphdiyne based on 3D impurities, Acta Phys.-Chim. Sin. 34 (2018) 1061-1073. https://doi.org/10.3866/PKU.WHXB201801311.

[32]

Z.M. Lyu, X.L. Zhou, X.N. Wang, et al., Miniaturized electrochemiluminescent biochip prepared on gold nanoparticles-loaded mesoporous silica film for visual detection of hydrogen peroxide released from living cells, Sens. Actuators B Chem. 284 (2019) 437-443. https://doi.org/10.1016/j.snb.2018.12.149.

[33]

H.F. Zhao, R.P. Liang, J.W. Wang, et al., One-pot synthesis of GO/AgNPs/luminol composites with electrochemiluminescence activity for sensitive detection of DNA methyltransferase activity, Biosens. Bioeletron. 63 (2015) 458-464. https://doi.org/10.1016/j.bios.2014.07.079.

[34]

D. Yuan, S. Chen, R. Yuan, et al., An ECL sensor for dopamine using reduced graphene oxide/multiwall carbon nanotubes/gold nanoparticles, Sens. Actuators B Chem. 191 (2014) 415-420. https://doi.org/10.1016/j.snb.2013.10.013.

[35]

Q. Zhu, H. Liu, J. Zhang, et al., Ultrasensitive QDs based electrochemiluminescent immunosensor for detecting ractopamine using AuNPs and Au nanoparticles@PDDA-graphene as amplifier, Sens. Actuators B Chem. 243 (2017) 121-129. https://doi.org/10.1016/j.snb.2016.11.135.

[36]

D. Wang, Y. Liang, Y. Su, et al., Sensitivity enhancement of cloth-based closed bipolar electrochemiluminescence glucose sensor via electrode decoration with chitosan/multi-walled carbon nanotubes/graphene quantum dots-gold nanoparticles, Biosens. Bioeletron. 130 (2019) 55-64. https://doi.org/10.1016/j.bios.2019.01.027.

[37]

Y. Li, X. Li, Y. Meng, et al., Photoelectrochemical platform for microRNA let-7a detection based on graphdiyne loaded with AuNPs modified electrode coupled with alkaline phosphatase, Biosens. Bioeletron. 130 (2019) 269-275. https://doi.org/10.1016/j.bios.2019.02.002.

[38]

X. Chen, S. Zhang, Modulation of molecular sensing properties of graphdiyne based on 3D impurities, Acta Phys.-Chim. Sin. 34 (2018) 1061-1073. https://doi.org/10.3866/PKU.WHXB201801311.

[39]

M.S. Dresselhaus, A. Jorio, M. Hofmann, et al., Perspectives on carbon nanotubes and graphene Raman spectroscopy, Nano Lett. 10 (2010) 751-758. https://doi.org/10.1021/nl904286r.

[40]

J. Li, X. Gao, B. Liu, et al., Graphdiyne: a metal-free material as hole transfer layer to fabricate quantum dot-sensitized photocathodes for hydrogen production, J. Am. Chem. Soc. 138 (2016) 3954-3957. https://doi.org/10.1021/jacs.5b12758.

[41]

G. Li, Y. Li, H. Liu, et al., Architecture of graphdiyne nanoscale films, Chem. Comm. 46 (2010) 3256-3258. https://doi.org/10.1039/b922733d.

[42]

X.H. Li, Y.X. Li, J.Y. Zhang, et al., Molybdenum disulfide/graphdiyne-based photoactive material derived photoelectrochemical strategy for highly sensitive microRNA assay, Sens. Actuators B Chem. 297 (2019) 7. https://doi.org/10.1016/j.snb.2019.126808.

[43]

D. Lin, Z. Wu, S. Li, et al., Large-area Au-nanoparticle-functionalized Si nanorod arrays for spatially uniform surface-enhanced Raman spectroscopy, ACS Nano 11 (2017) 1478-1487. https://doi.org/10.1021/acsnano.6b06778.

[44]

T. Kawaguchi, D.R. Shankaran, S.J. Kim, et al., Surface plasmon resonance immunosensor using Au nanoparticle for detection of TNT, Sens. Actuators B Chem. 133 (2008) 467-472. https://doi.org/10.1016/j.snb.2008.03.005.

[45]

S. Cheng, H. Liu, H. Zhang, et al., Ultrasensitive electrochemiluminescence aptasensor for kanamycin detection based on silver nanoparticle-catalyzed chemiluminescent reaction between luminol and hydrogen peroxide, Sens. Actuators B Chem. 304 (2020) 127-367. https://doi.org/10.1016/j.snb.2019.127367.

[46]

F. Zhao, X. Qiu, N. Ye, et al., Hydrophilic interaction liquid chromatography coupled with quadrupole-orbitrap ultra high resolution mass spectrometry to quantitate nucleobases, nucleosides, and nucleotides during white tea withering process, Food Chem. 266 (2018) 343-349. https://doi.org/10.1016/j.foodchem.2018.06.030.

[47]

S. Ghosh, D. Sarker, T.N. Misra, Development of an amperometric enzyme electrode biosensor for fish freshness detection, Sens. Actuators B Chem. 53 (1998) 58-62. https://doi.org/10.1016/S0925-4005(98)00285-8.

[48]

M.A. Carsol, G. Volpe, M. Mascini, Amperometric detection of uric acid and hypoxanthine with xanthine oxidase immobilized and carbon based screen-printed electrode application for fish freshness determination, Talanta 44 (1997) 2151-2159. https://doi.org/10.1016/S0039-9140(97)00098-2.

Food Science and Human Wellness
Pages 1149-1156
Cite this article:
Liu J, Shen Y, Wang G, et al. Highly-sensitive electrochemiluminescence biosensor for detection of inosine monophosphate in meat based on graphdiyne/AuNPs/luminol nanocomposites. Food Science and Human Wellness, 2023, 12(4): 1149-1156. https://doi.org/10.1016/j.fshw.2022.10.040

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Received: 14 May 2021
Revised: 18 July 2021
Accepted: 04 August 2021
Published: 18 November 2022
© 2023 Beijing Academy of Food Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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