On-site rapid detection of Listeria monocytogenes in dairy products using smartphone-integrated device-assisted ratiometric fluorescent sensors
Hui Li
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Methodology, Investigation, Writing - original draft, Conceptualization
Search for more papers by this authorYuwei Ren
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Data curation, Validation
Search for more papers by this authorRui Jiao
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Software
Search for more papers by this authorXiyan Zhang
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Software
Search for more papers by this authorWenhua Zhao
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Writing - review & editing
Search for more papers by this authorHanfang Chen
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Investigation, Validation
Search for more papers by this authorDanfeng Zhang
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Formal analysis
Search for more papers by this authorYizhong Shen
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Methodology
Search for more papers by this authorCorresponding Author
Changqing Zhu
School of Food Science, Nanjing Xiaozhuang University, Nanjing, 211171 China
Author for correspondence. E-mail: [email protected] and [email protected]
Contribution: Funding acquisition, Methodology
Search for more papers by this authorCorresponding Author
Yingwang Ye
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Author for correspondence. E-mail: [email protected] and [email protected]
Contribution: Funding acquisition, Supervision
Search for more papers by this authorHui Li
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Methodology, Investigation, Writing - original draft, Conceptualization
Search for more papers by this authorYuwei Ren
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Data curation, Validation
Search for more papers by this authorRui Jiao
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Software
Search for more papers by this authorXiyan Zhang
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Software
Search for more papers by this authorWenhua Zhao
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Writing - review & editing
Search for more papers by this authorHanfang Chen
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Investigation, Validation
Search for more papers by this authorDanfeng Zhang
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Formal analysis
Search for more papers by this authorYizhong Shen
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Contribution: Methodology
Search for more papers by this authorCorresponding Author
Changqing Zhu
School of Food Science, Nanjing Xiaozhuang University, Nanjing, 211171 China
Author for correspondence. E-mail: [email protected] and [email protected]
Contribution: Funding acquisition, Methodology
Search for more papers by this authorCorresponding Author
Yingwang Ye
School of Food Science and Engineering, Hefei University of Technology, Hefei, 230009 China
Author for correspondence. E-mail: [email protected] and [email protected]
Contribution: Funding acquisition, Supervision
Search for more papers by this authorAbstract
The contamination of Listeria monocytogenes (L. monocytogenes) in dairy products poses a significant risk to human health. It is urgent to develop on-site rapid strategy to reduce associated threats. We employed carbon dots (CDs) and silicon nanoparticles (SiNPs) as energy donors and acceptors respectively. The CDs and SiNPs were functionalised with vancomycin and aptamers correspondingly, leading to the establishment of ratiometric fluorescent sensor. With a portable smartphone-integrated device, the ratios of blue/green values from the colour images depended on L. monocytogenes concentrations for quantification. The sensors were demonstrated for monitoring L. monocytogenes in dairy products within 30 min.
CONFLICT OF INTEREST STATEMENT
The authors declare that they have no conflict of interest related to the work reported in this article. All authors have read and agreed to submit the article.
Open Research
DATA AVAILABILITY STATEMENT
The data are available from the corresponding author upon reasonable request.
Supporting Information
| Filename | Description |
|---|---|
| idt13045-sup-0001-Supinfo.docxWord 2007 document , 53.3 MB | Appendix S1 Results and discussion. Figure S1 Embedded into a portable smartphone-based sensor to establish a ratiometric fluorescence imaging system for monitoring L. monocytogenes. Figure S2 Fluorescence spectra of CDs with various excitation wavelengths. Figure S3 Fluorescence spectra of SiNPs with various excitation wavelengths. Figure S4 High-resolution XPS spectrum of CDs: (A) C1s XPS spectrum, (B) N1s XPS spectrum and (C) O1s XPS spectrum. Figure S5 High-resolution XPS spectrum of SiNPs: (A) C1s XPS spectrum, (B) N1s XPS spectrum, (C) O1s XPS spectrum and (D) Si2p XPS spectrum. Table S1 Comparison of different detection methods for L. monocytogenes. Table S2 Comparison of different samples in recovery and R.S.D for L. monocytogenes. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- Angelo K M, Jackson K A, Wong K K, Hoekstra R M and Jackson B R (2016) Assessment of the incubation period for invasive Listeriosis. Clinical Infectious Diseases 63 1487–1489.
- Bai X, Huang J, Li W, Song Y, Xiao F, Xu Q and Xu H (2023) Portable dual-mode biosensor based on smartphone and glucometer for on-site sensitive detection of Listeria monocytogenes. Science of the Total Environment 874 162450.
- Bland R, Brown S R B, Waite-Cusic J and Kovacevic J (2022) Probing antimicrobial resistance and sanitizer tolerance themes and their implications for the food industry through the Listeria monocytogenes lens. Comprehensive Reviews in Food Science and Food Safety 21 1777–1802.
- Cai G, Wang Y, Zhang Y, Zheng L and Lin J (2023) Magnetorheological elastomer and smartphone enable microfluidic biosensing of foodborne pathogen. Chinese Chemical Letters 34 108059.
- Castro H, Ruusunen M and Lindström M (2017) Occurrence and growth of Listeria monocytogenes in packaged raw milk. International Journal of Food Microbiology 261 1–10.
- Chen X, Li G, Yue X, Peng C and Wang J (2023) Ratiometric fluorescent detection of carbendazim in foods based on metallic nanoclusters self-assembled nanocomplex. Food Chemistry 424 136478.
- Disson O, Moura A and Lecuit M (2021) Making sense of the biodiversity and virulence of Listeria monocytogenes. Trends in Microbiology 29 811–822.
- Feng Q, Xu H, Li Z, Chen C and Miao X (2022) A novel “signal off–triggered on” Förster resonance energy transfer biosensor for the ratiometric detection of pathogenic bacteria. Sensors and Actuators B: Chemical 372 132598.
- Gkerekou M A, Kaparakou E H, Tarantilis P A and Skandamis P N (2023) Studying the metabolic factors that may impact the growth of co-cultured Listeria monocytogenes strains at low temperature. Food Research International 171 113056.
- Koopmans M M, Brouwer M C, Vázquez-Boland J A and Beek D V D (2023) Human Listeriosis. Clinical Microbiology Reviews 36 e0006019.
- Li Y, Chen M, Fan X, Peng J, Pan L, Tu K and Chen Y (2022a) Sandwich fluorometric method for dual-role recognition of Listeria monocytogenes based on antibiotic-affinity strategy and fluorescence quenching effect. Analytica Chimica Acta 1221 340085.
- Li Y, Gao Y, Ling N, Shen Y, Zhang D, Ou D, Zhang X, Jiao R, Zhu C and Ye Y (2022b) Rapid and simple quantitative identification of Listeria monocytogenes in cheese by isothermal sequence exchange amplification based on surface-enhanced Raman spectroscopy. Journal of Dairy Science 105 9450–9462.
- Nogueira R, Cabo M L, García-Sanmartín L, Sánchez-Ruiloba L and Rodríguez-Herrera J J (2023) Risk factor-based clustering of Listeria monocytogenes in food processing environments using principal component analysis. Food Research International 170 112989.
- Prasad M C B, Milton A a P, Menon V K et al. (2024) Development of a novel visual assay for ultrasensitive detection of Listeria monocytogenes in milk and chicken meat harnessing helix loop-mediated isothermal amplification (HAMP). Food Control 155 110081.
- Ren Y, Cao L, Zhang X, Jiao R, Ou D, Wang Y, Zhang D, Shen Y, Ling N and Ye Y (2023) A novel fluorescence resonance energy transfer (FRET)-based paper sensor with smartphone for quantitative detection of Vibrio parahaemolyticus. Food Control 145 109412.
- Shen Y, Gao X, Zhang Y, Chen H, Ye Y and Wu Y (2022) Polydopamine-based nanozyme with dual-recognition strategy-driven fluorescence-colorimetric dual-mode platform for Listeria monocytogenes detection. Journal of Hazardous Materials 439 129582.
- Tang X, Zuo J, Yang C, Jiang J, Zhang Q, Ping J and Li P (2023) Current trends in biosensors for biotoxins (mycotoxins, marine toxins, and bacterial food toxins): Principles, application, and perspective. TrAC Trends in Analytical Chemistry 165 117144.
- Wachiralurpan S, Phung-On I, Chanlek N, Areekit S, Chansiri K and Lieberzeit P A (2021) In-situ monitoring of real-time loop-mediated isothermal amplification with QCM: Detecting Listeria monocytogenes. Biosensors-Basel 11 308.
- Wang Z-X, Hu L, Wang W-J, Kong F Y, Wei M J, Fang H L, Li Q L and Wang W (2022) One-pot green preparation of deep-ultraviolet and dual-emission carbon nanodots for dual-channel ratiometric determination of polyphenol in tea sample. Microchimica Acta 189 241.
- Yang T, Luo Z, Bewal T, Li L, Xu Y, Mahdi Jafari S and Lin X (2022) When smartphone enters food safety: A review in on-site analysis for foodborne pathogens using smartphone-assisted biosensors. Food Chemistry 394 133534.
- Zhao Q, Wang Y, Zhang M, Wu D, Sun J and Yang X (2022) A fluorescence turn-on biosensor utilizing silicon-containing nanoparticles: Ultra-sensitive sensing for α-glucosidase activity and screening for its potential inhibitors. Biosensors and Bioelectronics 214 114504.
