Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
Gluten, known as the major allergen in wheat, has gained increasing concerns in industrialized countries, resulting in an urgent need for accurate, high-sensitive, and on-site detection of wheat gluten in complex food systems. Herein, we proposed a silver nanoparticles (AgNPs)/metal-organic framework (MOF) substrate-based surface-enhanced Raman scattering (SERS) sensor for the high-sensitive on-site detection of wheat gluten. The detection occurred on the newly in-situ synthesized AgNPs/MOF-modified SERS substrate, providing an enhancement factor (EF) of 1.89 × 105. Benefitting from the signal amplification function of AgNPs/MOF and the superiority of SERS, this sensor represented high sensitivity performance and a wide detection range from 1 × 10-15 mol/L to 2 × 10-6 mol/L with a detection limit of 1.16 × 10-16 mol/L, which allowed monitoring the trace of wheat gluten in complex food system without matrix interference. This reliable sandwich SERS sensor may provide a promising platform for high-sensitive, accurate, and on-site detection of allergens in the field of food safety.
H. Wieser, Chemistry of gluten proteins, Food Microbiol. 24(2) (2007) 115-119. http://dx.doi.org/10.1016/j.fm.2006.07.004.
M. Spaggiari, L. Calani, S. Folloni, et al., The impact of processing on the phenolic acids, free betaine, and choline in Triticum spp. L. whole grains and milling by-products, Food Chem. 311 (2020) 125940. http://dx.doi.org/10.1016/j.foodchem.2019.125940.
S. Sievers, A. Rohrbach, K. Beyer, Wheat-induced food allergy in childhood: ancient grains seem no way out, Eur. J. Nutr. 59(6) (2020) 2693-2707. http://dx.doi.org/10.1007/s00394-019-02116-z.
A. Miyazaki, S. Watanabe, K. Ogata, et al., Real-time PCR detection methods for food allergens (wheat, buckwheat, and peanuts) using reference plasmids, J. Agric. Food. Chem. 67(19) (2019) 5680-5686. http://dx.doi.org/10.1021/acs.jafc.9b01234.
B.I. Nwaru, L. Hickstein, S.S. Panesar, et al., Prevalence of common food allergies in Europe: a systematic review and meta-analysis, Allergy 69(8) (2014) 992-1007. http://dx.doi.org/10.1111/all.12423.
K.A. Vierk, K.M. Koehler, S.B. Fein, et al., Prevalence of self-reported food allergy in American adults and use of food labels, J. Allergy Clin. Immunol. 119(6) (2007) 1504-1510. http://dx.doi.org/10.1016/j.jaci.2007.03.011.
X.Y. Wang, Y. Zhuang, T.T. Ma, et al., Prevalence of self-reported food allergy in six regions of inner Mongolia, Northern China: a population-based survey, Med. Sci. Monit. 24 (2018) 1902-1911. http://dx.doi.org/10.12659/msm.908365.
C. Huang, S. Sheth, M. Li, et al., Rapid and selective luminescent sensing of allergenic gluten by highly phosphorescent switch-on probe, Talanta 190 (2018) 292-297. http://dx.doi.org/10.1016/j.talanta.2018.08.013.
J.G. Burkhardt, A. Chapa-Rodriguez, S.L. Bahna, Gluten sensitivities and the allergist: threshing the grain from the husks, Allergy 73(7) (2018) 1359-1368. http://dx.doi.org/10.1111/all.13354.
Y.Y. Xu, N.N. Jiang, L.P. Wen, et al., Wheat allergy in patients with recurrent urticaria, World Allergy Organ. J. 12(2) (2019) 100013. http://dx.doi.org/10.1016/j.waojou.2019.100013.
S.M. Gendel, J. Zhu, Analysis of U.S. Food and Drug Administration food allergen recalls after implementation of the food allergen labeling and consumer protection act, J. Food Prot. 76(11) (2013) 1933-1938. http://dx.doi.org/10.4315/0362-028X.JFP-13-171.
M. Timon, Proposals for harmonization of allergens regulation in the European Union, Allergol Immunopathol (Madr.) 45(Suppl 1) (2017) 1-3. http://dx.doi.org/10.1016/j.aller.2017.09.001.
K.J. Allen, P.J. Turner, R. Pawankar, et al., Precautionary labelling of foods for allergen content: are we ready for a global framework? World Allergy Organ. J. 7(1) (2014) 10. http://dx.doi.org/10.1186/1939-4551-7-10.
M. Koeberl, D. Clarke, K.J. Allen, et al., Food allergen management in Australia, J. AOAC Int. 101(1) (2018) 60-69. http://dx.doi.org/10.5740/jaoacint.17-0386.
A. Garcia-Garcia, R. Madrid, E. Garcia-Calvo, et al., Production of a recombinant single-domain antibody for gluten detection in foods using the Pichia pastoris expression system, Foods 9(12) (2020) 1838. http://dx.doi.org/10.3390/foods9121838.
B. Martin-Fernandez, J. Costa, N. de-Los-Santos-Alvarez, et al., High resolution melting analysis as a new approach to discriminate gluten containing cereals, Food Chem. 211 (2016) 383-391. http://dx.doi.org/10.1016/j.foodchem.2016.05.067.
K.C.M. Verhoeckx, Y.M. Vissers, J.L. Baumert, et al., Food processing and allergenicity, Food Chem. Toxicol. 80 (2015) 223-240. http://dx.doi.org/10.1016/j.fct.2015.03.005.
D.A. Schmitt, J.B. Nesbit, B.K. Hurlburt, et al., Processing can alter the properties of peanut extract preparations, J. Agric. Food. Chem. 58(2) (2010) 1138-1143. http://dx.doi.org/10.1021/jf902694j.
E. Iniesto, A. Jimenez, N. Prieto, et al., Real time PCR to detect hazelnut allergen coding sequences in processed foods, Food Chem. 138(2/3) (2013) 1976-1981. http://dx.doi.org/10.1016/j.foodchem.2012.11.036.
L. Mandrile, A.M. Giovannozzi, F. Durbiano, et al., Rapid and sensitive detection of pyrimethanil residues on pome fruits by Surface Enhanced Raman Scattering, Food Chem. 244 (2018) 16-24. http://dx.doi.org/10.1016/j.foodchem.2017.10.003.
H. Feng, Q. Fu, W. Du, et al., Quantitative assessment of copper(Ⅱ) in Wilson’s disease based on photoacoustic imaging and ratiometric surfaceenhanced Raman scattering, ACS Nano. 15(2) (2021) 3402-3414. http://dx.doi.org/10.1021/acsnano.0c10407.
J. Xi, Q. Yu, The development of lateral flow immunoassay strip tests based on surface enhanced Raman spectroscopy coupled with gold nanoparticles for the rapid detection of soybean allergen β-conglycinin, Spectrochim. Acta A Mol. Biomol. Spectrosc. 241 (2020) 118640. http://dx.doi.org/10.1016/j.saa.2020.118640.
L. Zhang, Y. Jin, H. Mao, et al., Structure-selective hot-spot Raman enhancement for direct identification and detection of trace penicilloic acid allergen in penicillin, Biosens. Bioelectron. 58 (2014) 165-171. http://dx.doi.org/10.1016/j.bios.2014.02.052.
A. Nilghaz, S. Mahdi Mousavi, A. Amiri, et al., Surface-enhanced Raman spectroscopy substrates for food safety and quality analysis, J. Agric. Food Chem. 70(18) (2022) 5463-5476. http://dx.doi.org/10.1021/acs.jafc.2c00089.
W. Li, L. Xiong, N. Li, et al., Tunable 3D light trapping architectures based on self-assembled SnSe2 nanoplate arrays for ultrasensitive SERS detection, J. Materials Chem. C. 7(33) (2019) 10179-10186. http://dx.doi.org/10.1039/c9tc03715b.
A. Fateeva, P.A. Chater, C.P. Ireland, et al., A water-stable porphyrin-based metal-organic framework active for visible-light photocatalysis, Angew. Chem. Int. Ed. Engl. 51(30) (2012) 7440-7444. http://dx.doi.org/10.1002/anie.201202471.
J. Li, J. Wang, Y. Ling, et al., Unprecedented highly efficient capture of glycopeptides by Fe3O4@Mg-MOF-74 core-shell nanoparticles, Chem. Commun. 53(28) (2017) 4018-4021. http://dx.doi.org/10.1039/c7cc00447h.
K. Deng, Z. Hou, X. Li, et al., Aptamer-mediated up-conversion core/MOF shell nanocomposites for targeted drug delivery and cell imaging, Sci. Rep. 5(1) (2015) 7851. http://dx.doi.org/10.1038/srep07851.
Z. Jiang, P. Gao, L. Yang, et al., Facile in situ synthesis of silver nanoparticles on the surface of metal-organic framework for ultrasensitive surface-enhanced Raman scattering detection of dopamine, Anal. Chem. 87(24) (2015) 12177-12182. http://dx.doi.org/10.1021/acs.analchem.5b03058.
J.M. Li, C. Wei, W.F. Ma, et al., Multiplexed SERS detection of DNA targets in a sandwich-hybridization assay using SERS-encoded core–shell nanospheres, J. Mater. Chem. 22(24) (2012) 12100-12106. http://dx.doi.org/10.1039/c2jm30702b.
A. Garrido-Maestu, S. Azinheiro, P. Fucinos, et al., Highly sensitive detection of gluten-containing cereals in food samples by real-time Loopmediated isothermal AMPlification (qLAMP) and real-time polymerase chain reaction (qPCR), Food Chem. 246 (2018) 156-163. http://dx.doi.org/10.1016/j.foodchem.2017.11.005.
B. Martin-Fernandez, A.J. Miranda-Ordieres, M.J. Lobo-Castanon, et al., Strongly structured DNA sequences as targets for genosensing: sensing phase design and coupling to PCR amplification for a highly specific 33-mer gliadin DNA fragment, Biosens. Bioelectron. 60 (2014) 244-251. http://dx.doi.org/10.1016/j.bios.2014.04.033.
Z. Guo, P. Chen, L. Yin, et al., Determination of lead in food by surfaceenhanced Raman spectroscopy with aptamer regulating gold nanoparticles reduction, Food Control. 132 (2022) 108498. http://dx.doi.org/10.1016/j.foodcont.2021.108498.
C. Li, Y. Huang, K. Lai, et al., Analysis of trace methylene blue in fish muscles using ultra-sensitive surface-enhanced Raman spectroscopy, Food Control. 65 (2016) 99-105. http://dx.doi.org/10.1016/j.foodcont.2016.01.017.
M. Liu, J. Wang, Q. Yang, et al., Patulin removal from apple juice using a novel cysteine-functionalized metal-organic framework adsorbent, Food Chem. 270 (2019) 1-9. http://dx.doi.org/10.1016/j.foodchem.2018.07.072.
L. Wu, H. Pu, L. Huang, et al., Plasmonic nanoparticles on metal-organic framework: a versatile SERS platform for adsorptive detection of new coccine and orange Ⅱ dyes in food, Food Chem. 328 (2020) 127105. http://dx.doi.org/10.1016/j.foodchem.2020.127105.
S. Mukhopadhyay, J. Debgupta, C. Singh, et al., Designing UiO-66-based superprotonic conductor with the highest metal-organic framework based proton conductivity, ACS Appl. Mater. Interfaces 11(14) (2019) 13423-13432. http://dx.doi.org/10.1021/acsami.9b01121.
1593
Views
342
Downloads
9
Crossref
9
Web of Science
9
Scopus
0
CSCD
Altmetrics
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).