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Research Article | Open Access

Filtration assisted pretreatment for rapid enrichment and accurate detection of Salmonella in vegetables

Bin LiaHanling WangaJianguo XuaWei QuaLi Yaoa( )Bangben Yaoa,bChao YanbWei Chena( )
Engineering Research Center of Bio-Process, Ministry of Education, School of Food and Biological Engineering, Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230009, China
Anhui Provincial Institute of Product Quality Supervision and Inspection, Hefei 230051, China

Peer review under responsibility of KeAi Communications Co., Ltd.

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Abstract

Rapid detection of target foodborne pathogens plays more and more significant roles in food safety, which requires the efficiency, sensitivity, and accuracy. In this research, we proposed a new strategy of isothermal-molecular-amplification integrated with lateral-flow-strip for rapid detection of Salmonella without traditional enrichment-culture. The designed syringe-assisted-filtration can contribute to simultaneous collection and concentration of target bacterium from vegetable samples in just 3 min, resolving the drawbacks of traditional random sampling protocols. After simple and convenient ultrasonication, samples can be directly amplified at 39 ℃ in 25 min and the amplicons are qualitatively and quantitatively analyzed with the designed lateral-flow-strip in 5 min. Finally, satisfied results have been achieved within 40 min, which greatly improve the efficiency while the accuracy is also guaranteed. Furthermore, all detection steps can be completed under instrument-free conditions. This method will hold great promise for target pathogen detection in the resource-limited district, or for emergency on-site identification.

References

[1]

W.S. White, Y. Zhou, A. Crane, et al., Modeling the dose effects of soybean oil in salad dressing on carotenoid and fat-soluble vitamin bioavailability in salad vegetables, Am. J. Clin. Nutr. 106 (2017) 1041-1051. https://doi.org/10.3945/AJCN.117.153635.

[2]

M.L. Gullino, G. Gilardi, A. Garibaldi, Ready-to-eat salad crops: a plant pathogen's heaven, Plant Dis. 103 (2019) 2153-2170. https://doi.org/10.1094/PDIS-03-19-0472-FE.

[3]

C.S. Marques, S. Sousa, A. Castro, et al., Detection of Toxoplasma gondii oocysts in fresh vegetables and berry fruits, Parasite. Vector. 13 (2020) 1-12. https://doi.org/10.1186/S13071-020-04040-2.

[4]

G. Koukkidis, R. Haigh, N. Allcock, et al., Salad leaf juices enhance Salmonella growth, colonization of fresh produce, and virulence, Appl. Environ. Microbiol. 83 (2017) e02416-16. https://doi.org/10.1128/AEM.02416-16.

[5]

S. Du, Y. Wang, Z. Liu, et al., A portable immune-thermometer assay based on the photothermal effect of graphene oxides for the rapid detection of Salmonella typhimurium, Biosens. Bioelectron. 144 (2019) 111670. https://doi.org/10.1016/J.BIOS.2019.111670.

[6]

P. Lins, Detection of Salmonella spp. in spices and herbs, Food Control 83 (2018) 61-68. https://doi.org/10.1016/J.FOODCONT.2017.05.040.

[7]

Y. Zhang, J. Tian, K. Li, et al., Label-free visual biosensor based on cascade amplification for the detection of Salmonella, Anal. Chim. Acta. 1075 (2019) 144-151. https://doi.org/10.1016/J.ACA.2019.05.020.

[8]

J. Yin, Z. Cheng, Y. Wu, et al., Characterization and protective efficacy of a Salmonella pathogenicity island 2 (SPI2) mutant of Salmonella Paratyphi A, Microb. Pathog. 137 (2019) 103795. https://doi.org/10.1016/J.MICPATH.2019.103795.

[9]

R. Heymans, A. Vila, C.A.M. van Heerwaarden, et al., Rapid detection and differentiation of Salmonella species, Salmonella Typhimurium and Salmonella Enteritidis by multiplex quantitative PCR, PLoS One 13 (2018) 0206316. https://doi.org/10.1371/JOURNAL.PONE.0206316.

[10]

A.M.A. Melo, D.L. Alexandre, R.F. Furtado, et al., Electrochemical immunosensors for Salmonella detection in food, Appl. Microbiol. Biotechnol. 100 (2016) 5301-5312. https://doi.org/10.1007/S00253-016-7548-Y.

[11]

X. Ma, W. Ding, C. Wang, et al., DNAzyme biosensors for the detection of pathogenic bacteria, Sensors Actuators, B Chem. 331 (2021) 129422. https://doi.org/10.1016/J.SNB.2020.129422.

[12]

C. Pöhlmann, Y. Wang, M. Humenik, et al., Rapid, specific and sensitive electrochemical detection of foodborne bacteria, Biosens. Bioelectron. 24 (2009) 2766-2771. https://doi.org/10.1016/J.BIOS.2009.01.042.

[13]

S.P. Kyaw, J. Hanthamrongwit, K. Jangpatarapongsa, et al., Sensitive detection of the IS6110 sequence of Mycobacterium tuberculosis complex based on PCR-magnetic bead ELISA, RSC Adv. 8 (2018) 33674-33680. https://doi.org/10.1039/C8RA06599C.

[14]

R.A.S. Couto, L. Chen, S. Kuss, et al., Detection of Escherichia coli bacteria by impact electrochemistry, Analyst 143 (2018) 4840-4843. https://doi.org/10.1039/C8AN01675E.

[15]

L. López-Enríquez, D. Rodríguez-Lázaro, M. Hernández, Quantitative detection of Clostridium tyrobutyricum in milk by real-time PCR, Appl. Environ. Microbiol. 73 (2007) 3747-3751. https://doi.org/10.1128/AEM.02642-06.

[16]

F. Li, F. Li, B. Chen, et al., Sextuplex PCR combined with immunomagnetic separation and PMA treatment for rapid detection and specific identification of viable Salmonella spp., Salmonella enterica serovars Paratyphi B, Salmonella Typhimurium, and Salmonella Enteritidis in raw meat, Food Control 73 (2017) 587-594. https://doi.org/10.1016/J.FOODCONT.2016.09.009.

[17]

L. Hu, L.M. Ma, S. Zheng, et al., Development of a novel loop-mediated isothermal amplification (LAMP) assay for the detection of Salmonella ser. Enteritidis from egg products, Food Control 88 (2018) 190-197. https://doi.org/10.1016/J.FOODCONT.2018.01.006.

[18]

C. Ge, R. Yuan, L. Yi, et al., Target-induced aptamer displacement on gold nanoparticles and rolling circle amplification for ultrasensitive live Salmonella typhimurium electrochemical biosensing, J. Electroanal. Chem. 826 (2018) 174-180. https://doi.org/10.1016/J.JELECHEM.2018.07.002.

[19]

Y. Gao, Y. Ye, J. Xu, et al., Rapid and easy quantitative identification of Cronobacter spp. in infant formula milk powder by isothermal strand-exchange-amplification based molecular capturing lateral flow strip, Food Control 126 (2021) 108048. https://doi.org/10.1016/j.foodcont.2021.108048.

[20]

J. Lee, S. Heo, D. Bang, Applying a linear amplification strategy to recombinase polymerase amplification for uniform DNA library amplification, ACS Omega. 4 (2019) 19953-19958. https://doi.org/10.1021/ACSOMEGA.9B02886.

[21]

J. Li, B. Ma, J. Fang, et al., Recombinase polymerase amplification (RPA) combined with lateral flow immunoassay for rapid detection of salmonella in food, Foods 9 (2020) 9010027. https://doi.org/10.3390/FOODS9010027.

[22]

S. Xia, X. Chen, Single-copy sensitive, field-deployable, and simultaneous dual-gene detection of SARS-CoV-2 RNA via modified RT-RPA, Cell Discov. 6 (2020) 1-4. https://doi.org/10.1038/S41421-020-0175-X.

[23]

W. Zhang, L. Xu, Q. Liu, et al., Enzymatic recombinase amplification coupled with CRISPR-Cas12a for ultrasensitive, rapid, and specific Porcine circovirus 3 detection, Mol. Cell Probes. 59 (2021) 101763. https://doi.org/10.1016/J.MCP.2021.101763.

[24]

W. Chen, F. Cai, Q. Wu, et al., Prediction, evaluation, confirmation, and elimination of matrix effects for lateral flow test strip based rapid and on-site detection of aflatoxin B1 in tea soups, Food Chem. 328 (2020) 127081. https://doi.org/10.1016/J.FOODCHEM.2020.127081.

[25]

I.M. Lobato, C.K. O'Sullivan, Recombinase polymerase amplification: basics, applications and recent advances, TrAC-Trends Anal. Chem. 98 (2018) 19-35. https://doi.org/10.1016/J.TRAC.2017.10.015.

[26]

F.V.M. Silva, Ultrasound assisted thermal inactivation of spores in foods: pathogenic and spoilage bacteria, molds and yeasts, Trends Food Sci. Technol. 105 (2020) 402-415. https://doi.org/10.1016/J.TIFS.2020.09.020.

[27]

S. Zhou, D. Tu, Y. Liu, et al., Ultrasensitive point-of-care test for tumor marker in human saliva based on luminescence-amplification strategy of lanthanide nanoprobes, Adv. Sci. 8 (2021) 2002657. https://doi.org/10.1002/ADVS.202002657.

[28]

Y. Wang, Y. Ke, W. Liu, et al., A one-pot toolbox based on Cas12a/crRNA enables rapid foodborne pathogen detection at attomolar level, ACS Sensors. 5 (2020) 1427-1435. https://doi.org/10.1021/ACSSENSORS.0C00320.

[29]

S. Niyomdecha, W. Limbut, A. Numnuam, et al., Phage-based capacitive biosensor for Salmonella detection, Talanta 188 (2018) 658-664. https://doi.org/10.1016/J.TALANTA.2018.06.033.

[30]
P. Chorti, A. Parvez Kazi, A.M. Jiaul Haque, et al., Flow-through electrochemical immunoassay for targeted bacteria detection, (2021) 130965. https://doi.org/10.1016/j.snb.2021.130965.
[31]

L. Bi, X. Wang, X. Cao, et al., SERS-active Au@Ag core-shell nanorod (Au@AgNR) tags for ultrasensitive bacteria detection and antibiotic-susceptibility testing, Talanta 220 (2020) 121397. https://doi.org/10.1016/J.TALANTA.2020.121397.

[32]

M. Wang, J. Yang, Z. Gai, et al., Comparison between digital PCR and real-time PCR in detection of Salmonella typhimurium in milk, Int. J. Food Microbiol. 266 (2018) 251-256. https://doi.org/10.1016/J.IJFOODMICRO.2017.12.011.

[33]

W. Nie, J. Wang, J. Xu, et al., A molecule capturer analysis system for visual determination of avian pathogenic Escherichia coli serotype O78 using a lateral flow assay, Microchim. Acta 187 (2020) 1-7. https://doi.org/10.1007/S00604-020-4170-6.

Food Science and Human Wellness
Pages 1167-1173
Cite this article:
Li B, Wang H, Xu J, et al. Filtration assisted pretreatment for rapid enrichment and accurate detection of Salmonella in vegetables. Food Science and Human Wellness, 2023, 12(4): 1167-1173. https://doi.org/10.1016/j.fshw.2022.10.042

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Received: 09 September 2021
Revised: 19 October 2022
Accepted: 03 January 2022
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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