|Generate QR code
Open Access
Subscription Access
SURFACE-ENHANCED RAMAN SCATTERING SENSOR BASED ON SELF-ASSEMBLED SILVER NANOPARTICLES FOR DETECTING ROTTEN EGGS
Abstract
Eggs are nutritious food that can decompose to emit hydrogen sulfide (H2S) gas when stored for a long time. We designed a surface-enhanced Raman scattering (SERS) sensor based on self-assembled silver nanoparticles (Ag NPs) to detect endogenous H2S generated in rotten eggs. The Ag NPs were prepared using a reduction method to enhance the Raman signal of the probe molecule, 4-mercaptobenzoic acid. The prepared Ag-NP substrate exhibited an excellent Raman strength enhancement effect, good uniformity, and long-term stability. To explore the possibility of using a SERS platform in H2S gas detection, a quantitative analysis with different H2S concentrations was performed. The results showed a good linear relationship between the Raman intensity at 1073 cm–1 and various H2S concentrations, and the H2S detection limit was as low as 0.03 μM.
Keywords
surface-enhanced Raman scattering,
silver nanoparticles,
hydrogen sulfide,
rotten-egg detection,
quantitative detection
Supporting agencies: This study was financially supported by the National Natural Science Foundation of China (NSFC) (Grant Nos. 61904168 and 51972292), the Key Research and Development Program of Zhejiang Province (Grant No. 2020C03095), and Fundamental Research Funds for the Provincial Universities of Zhejiang (Grant Nos. 2021YW19 and 2021YW75). We thank Liwen Bianji (Edanz) (www.liwenbianji.cn) for editing the English text of a draft of this manuscript.
About the Authors
H. Tan
College of Optical and Electronic Technology at China Jiliang University
China
China
Hangbin Tan
Hangzhou
S. Jin
College of Optical and Electronic Technology at China Jiliang University; Key Laboratory of Zhejiang Province Modern Measurement Technology and Instrument at China Jiliang University
China
China
Shangzhong Jin
Hangzhou
R. Xu
College of Optical and Electronic Technology at China Jiliang University
China
China
Rui Xu
Hangzhou
L. Jiang
College of Optical and Electronic Technology at China Jiliang University; Key Laboratory of Zhejiang Province Modern Measurement Technology and Instrument at China Jiliang University
China
China
Li Jiang
Hangzhou
Y. Li
College of Optical and Electronic Technology at China Jiliang University
China
China
Yifan Li
Hangzhou
Z. Yu
College of Optical and Electronic Technology at China Jiliang University
China
China
Zizhen Yu
Hangzhou
C. Jiang
College of Optical and Electronic Technology at China Jiliang University
China
China
Cailing Jiang
Hangzhou
References
1. A. S. Eddin, S. A. Ibrahim, R. Tahergorabi, Food Chem., 296, 29–39 (2019).
2. C. Hisasaga, S. E. Griffin, K. J. Tarrant, Poultry Sci., 99, 7202–7206 (2020).
3. R. Karoui, B. Kemps, F. Bamelis, B. de Ketelaere, E. Decuypere, J. de Baerdemaeker, Eur. Food Res. Technol., 222, 727–732 (2006).
4. X. Dong, J. Dong, Y. Peng, X. Tang, Spectrosc. Lett., 50, 463–469 (2017).
5. X. Dong, Z. Li, Z. Shen, X. Tang, Spectrosc. Lett., 51, 540–546 (2018).
6. S. Grassi, R. Vitale, C. Alamprese, LWT – Food Sci. Technol., 96, 469–475 (2018).
7. F. Ge, Y. Chen, A. Liu, S. Guang, Z. Cai, Cellulose, 26, 2689–2697 (2019).
8. N. Akbarzadeh, S. A. Mireei, G. Askari, A. H. Mahdavi, Food Chem., 277, 558–565 (2019).
9. M. Soltani, M. Omid, LWT – Food Sci. Technol., 62, 1034–1042 (2015).
10. M. Soltani, M. Omid, R. Alimardani, Food Anal. Methods, 8, 710–717 (2015).
11. D. Dai, T. Jiang, W. Lu, X. Shen, R. Xiu, J. Zhang, Sensors, 20, 5484 (2020).
12. S. Suktanarak, S. Teerachaichayut, J. Food Eng., 215, 97–103 (2017).
13. W. Zhang, L. Pan, S. Tu, G. Zhan, K. Tu, J. Food Eng., 157, 41–48 (2015).
14. F. Freni, A. Quattrocchi, A. Di Giacomo, S. A. Piccolo, R. Montanini, Quant. Infrared Thermogr. J., 25–29 (2018).
15. Y. He, B. Zhao, W. Kan, L. Ding, Z. Yu, M. Wang, B. Song, L. Wang, Analyst, 145, 213–222 (2020).
16. Y. J. Ahn, Y.G. Gil, Y. J. Lee, H. Jang, G. J. Lee, Microchem. J., 115, 104724 (2020).
17. T. A. Alexander, D. M. Le, Appl. Opt., 46, 3878–3890 (2007).
18. M. Gühlke, Z. Heiner, J. Kneipp, J. Phys. Chem. C, 120, 20702–20709 (2016).
19. Y. J. Ahn, Y. Gil, Y. J. Lee, H. Jang, G. Lee, Microchem. J., 155, 104724 (2020).
20. S. K. Gahlaut, K. Yadav, C. Sharan, J. P. Singh, Anal. Chem., 89, 13582–13588 (2017).
21. J. Lee, Y. J. Lee, Y. J. Ahn, S. Choi, G. Lee, Sensor. Actuat. B-Chem., 256, 828–834 (2018).
22. Y. J. Ahn, Y. J. Lee, J. Lee, D. Lee, H. Park, G. Lee, Spectrochim. Acta A, 177, 118–124 (2017).
23. X. Huang, S. Wu, H. Hu, J. Sun, ACS Sensors, 5, 2636–2643 (2020).
24. S. Lin, W. Hasi, X. Lin, S. Han, T. Xiang, S. Liang, L. Wang, ACS Sensors, 5, 1465–1473 (2020).
25. K. Wang, J. Li, Spectrochim. Acta A, 263, 120218 (2021).
26. Y. Qin, X. Ji, J. Jing, H. Liu, H. Wu, W. Yang. Colloid. Surface A, 372, 172–176 (2010).
27. X. Lin, G. Fang, Y. Liu, Y. He, L. Wang, B. Dong, J. Phys. Chem. Lett., 11, 3573–3581 (2020).
28. T. J. Kim, Y. J. Lee, Y. J. Ahn, G. Lee, Anal. Biochem., 574, 57–65 (2019).
29. Y. J. Ahn, Y. J. Lee, J. Lee, D. Lee, H. Park, G. Lee, Spectrochim. Acta A, 177, 118–124 (2017).
30. S. Su, C. Zhang, L. Yuwen, J. Chao, X. Zuo, X. Liu, C. Song, C. Fan, L. Wang, ACS Appl. Mater. Int., 6, 18735–18741 (2014).
31. Q. Li, S. Gong, H. Zhang, F. Huang, L. Zhang, S. Li, Chem. Eng. J., 371, 26–33 (2019).
32. E. Z. Tan, P. G. Yin, T. T. You, H. Wang, L. Guo, ACS Appl. Mater. Int., 4, 3432–3437 (1944).
33. J. L. Lu, Z. Y. Cai, Y. S. Zou, D. Y. Wu, G. Liu, ACS Appl. Nano Mater., 2, 6592–6601 (2019).
34. W. Zhou, B. Yin, B. Ye, Biosens. Bioelectron., 87, 187–194 (2017).
35. T. J. Kim, Y. J. Lee, Y. J. Ahn, G. Lee, Anal. Biochem., 574, 57–65 (2019).
36. L. Zhu, H. Dai, S. Zhang, D. Hu, Q. Zhou, M. Zou, J. Adkins, J. Zheng, Anal. Lett., 52, No. 18, 2868–2882 (2019).
37. S. Lin, X. Lin, Y. Shang, S. Han, W. Hasi, L. Wang, J. Phys. Chem. C, 123, 24714–24722 (2019).
Review
For citations:
Tan H., Jin S., Xu R., Jiang L., Li Y., Yu Z., Jiang C. SURFACE-ENHANCED RAMAN SCATTERING SENSOR BASED ON SELF-ASSEMBLED SILVER NANOPARTICLES FOR DETECTING ROTTEN EGGS. Zhurnal Prikladnoii Spektroskopii. 2022;89(5):742.
Views: 108
Email this article 