Citation: Tian Cao, Xuyin Ding, Qiwen Peng, Min Zhang, Guoyue Shi. Intelligent laser-induced graphene sensor for multiplex probing catechol isomers[J]. Chinese Chemical Letters, ;2024, 35(7): 109238. doi: 10.1016/j.cclet.2023.109238 shu

Intelligent laser-induced graphene sensor for multiplex probing catechol isomers

School of Chemistry and Molecular Engineering, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China

mzhang@chem.ecnu.edu.cn

Received Date: 7 June 2023
Revised Date: 30 September 2023
Accepted Date: 20 October 2023
Available Online: 27 October 2023

Figures(6)

Herein, we unveil the intelligent detection of multiple catechol isomers in complex environments utilizing both laser-induced graphene (LIG) and artificial neural network (ANN). The large scale-up manufacturing of LIG-based sensors (LIGS) with three-electrode configuration on polyimide (PI) is achieved by direct laser-writing and screen-printing technologies. Our LIGS shows excellent electrochemical performance toward catechol isomers, i.e., hydroquinone (1, 4-dihydroxybenzene, HQ), catechol (1, 2-dihydroxybenzene, CT), and resorcinol (1, 3-dihydroxybenzene, RC), with a low limit of detection (LOD) (CC, 0.079 µmol/L; HQ, 0.093 µmol/L; RC, 1.18 µmol/L). Moreover, the ANN model is developed for machine-intelligent to predict concentrations of catechol isomers under an interfering environment via a single LIGS. Using six unique parameters extracted from the differential pulse voltammetry (DPV) response, the machine learning-based regression provides a coefficient of correlation with 0.998 and is able to correctly predict the total and individual concentrations in complex river samples. Hence, this work provides a guide for the preparation and application of LIGS via facile and cost-efficient mass production and the development of an intelligent sensing platform based on the ANN model.
- Laser-induced graphene,
- Phenolic pollutants,
- Electrochemical detection,
- Artificial neural network
1. [1]
  H. Huang, Y. Chen, Z. Chen, et al., J. Hazard. Mater. 416 (2021) 125895. doi: 10.1016/j.jhazmat.2021.125895
2. [2]
  K.S. Ranjith, A.T. EzhilVilian, S.M. Ghoreishian, et al., J. Hazard. Mater. 421 (2022) 126775. doi: 10.1016/j.jhazmat.2021.126775
3. [3]
  R. Huang, D. Liao, S. Chen, J. Yu, X. Jiang, Sens. Actuators B: Chem. 320 (2020) 128386. doi: 10.1016/j.snb.2020.128386
4. [4]
  Y.L. Qi, Y. Cao, X.T. Meng, et al., Sens. Actuators B: Chem. 279 (2019) 170–176. doi: 10.1016/j.snb.2018.09.067
5. [5]
  K. Chetankumar, B.E. Kumara Swamy, T.S. Sunil Kumar Naik, J. Mater. Sci. : Mater. Electron. 31 (2020) 19728–19740. doi: 10.1007/s10854-020-04498-x
6. [6]
  J.S. Arya Nair, S. Saisree, K.Y. Sandhya, Analyst 147 (2022) 2966–2979. doi: 10.1039/D2AN00531J
7. [7]
  R. Huang, S. Chen, J. Yu, X. Jiang, Ecotoxicol. Environ. Saf. 184 (2019) 109619. doi: 10.1016/j.ecoenv.2019.109619
8. [8]
  Y. Zhang, G.M. Zeng, L. Tang, et al., Biosens. Bioelectron. 22 (2007) 2121–2126. doi: 10.1016/j.bios.2006.09.030
9. [9]
  L. Chen, Y. Tang, K. Wang, C. Liu, S. Luo, Electrochem. Commun. 13 (2011) 133–137. doi: 10.1016/j.elecom.2010.11.033
10. [10]
  S.C. Moldoveanu, M. Kiser, J. Chromatogr. 1141 (2007) 90–97. doi: 10.1016/j.chroma.2006.11.100
11. [11]
  G. Marrubini, E. Calleri, T. Coccini, et al., Chroma 62 (2005) 25–31. doi: 10.1365/s10337-005-0570-3
12. [12]
  Z.M. Li, Y.C. Xi, A.Q. Zhao, et al., Anal. Bioanal. Chem. 412 (2021) 3541–3550. doi: 10.1007/s00216-021-03305-8
13. [13]
  X. Xie, D.P. Wang, C. Guo, et al., Anal. Chem. 93 (2021) 4916–4923. doi: 10.1021/acs.analchem.0c05191
14. [14]
  X. Wang, G. Liu, Y. Qi, et al., Anal. Chem. 91 (2019) 12006–12013. doi: 10.1021/acs.analchem.9b02945
15. [15]
  K. Venkatesh, B. Muthukutty, S.M. Chen, et al., J. Hazard. Mater. 405 (2021) 124096. doi: 10.1016/j.jhazmat.2020.124096
16. [16]
  P. Nayak, N. Kurra, C. Xia, H.N. Alshareef, Adv. Electron. Mater. 2 (2016) 1600185. doi: 10.1002/aelm.201600185
17. [17]
  W. Yang, K.R. Ratinac, S.P. Ringer, et al., Angew. Chem. Int. Ed. 49 (2010) 2114–2138. doi: 10.1002/anie.200903463
18. [18]
  W. Li, C. Tan, M. Lowe, H. Abruna, D. Ralph, ACS Nano 5 (2011) 2264. doi: 10.1021/nn103537q
19. [19]
  S. Banerjee, J. Shim, J. Rivera, et al., ACS Nano 7 (2013) 834–843. doi: 10.1021/nn305400n
20. [20]
  J. Zeng, X.X. Ji, Y.H. Ma, et al., Adv. Mater. 30 (2018) 1705380. doi: 10.1002/adma.201705380
21. [21]
  S. Ullah, M. Hasan, H.Q. Ta, et al., Adv. Funct. Mater. 29 (2019) 1904457. doi: 10.1002/adfm.201904457
22. [22]
  J. Zhou, X. Wu, Y. Chen, et al., Adv. Funct. Mater. 32 (2022) 2105879. doi: 10.1002/adfm.202105879
23. [23]
  R. Zhao, K. Li, R. Liu, et al., J. Mater. Chem. A 5 (2017) 19098–19106. doi: 10.1039/C7TA05908F
24. [24]
  J. Lin, Z. Peng, Y. Liu, et al., Nat. Commun. 5 (2014) 5714. doi: 10.1038/ncomms6714
25. [25]
  L. Huang, J. Su, Y. Song, et al., Nano-Micro Lett. 12 (2020) 157. doi: 10.1007/s40820-020-00496-0
26. [26]
  R. Ye, D.K. James, J.M. Tour, Adv. Mater. 31 (2019) 1803621. doi: 10.1002/adma.201803621
27. [27]
  Z. Wan, N.T. Nguyen, Y. Gao, Q. Li, Sustain. Mater. Technol. 25 (2020) e00205.
28. [28]
  W.J. Yu, W.W. Zhao, S.P. Wang, et al., Adv. Mater. 35 (2023) 2209545. doi: 10.1002/adma.202209545
29. [29]
  W.W. Zhao, W.J. Yu, Y. Jiang, et al., Nano Energy 100 (2022) 107477. doi: 10.1016/j.nanoen.2022.107477
30. [30]
  Y.Y. Peng, W.W. Zhao, F. Ni, et al., ACS Nano 15 (2021) 19490–19502. doi: 10.1021/acsnano.1c06277
31. [31]
  L. Ge, Q. Hong, H. Li, et al., Adv. Funct. Mater. 29 (2019) 1904000. doi: 10.1002/adfm.201904000
32. [32]
  A. Ghanam, A.A. Lahcen, T. Beduk, et al., Biosens. Bioelectron. 168 (2020) 112509. doi: 10.1016/j.bios.2020.112509
33. [33]
  F. Zhao, J. He, X. Li, et al., Biosens. Bioelectron. 170 (2020) 112636. doi: 10.1016/j.bios.2020.112636
34. [34]
  U. Rajaji, P.S. Ganesh, S.Y. Kim, et al., ACS Appl. Nano Mater. 5 (2022) 3252–3264. doi: 10.1021/acsanm.1c03680
35. [35]
  Y. Yang, Y. Song, X. Bo, et al., Nat. Biotechnol. 38 (2020) 217–224. doi: 10.1038/s41587-019-0321-x
36. [36]
  R.R.A. Soares, R.G. Hjort, C.C. Pola, et al., ACS Sens. 5 (2020) 1900–1911. doi: 10.1021/acssensors.9b02345
37. [37]
  R.M. Torrente-Rodríguez, H. Lukas, J. Tu, et al., Matter 3 (2020) 1981–1998. doi: 10.1016/j.matt.2020.09.027
38. [38]
  L. Fu, Y.G. Wang, Environ. Sci. Technol. 45 (2011) 1481–1489. doi: 10.1021/es101304h
39. [39]
  A. Mistry, A.A. Franco, S.J. Cooper, S.A. Roberts, V. Viswanathan, ACS Energy Lett. 6 (2021) 1422–1431. doi: 10.1021/acsenergylett.1c00194
40. [40]
  X.Y. Lu, P. Liu, K. Bisetty, et al., J. Electroanal. Chem. 920 (2022) 116634. doi: 10.1016/j.jelechem.2022.116634
41. [41]
  P. Puthongkham, S. Wirojsaengthong, A. Suea-Ngam, Analyst 146 (2021) 6351–6364. doi: 10.1039/d1an01148k
42. [42]
  X. Zhu, L. Liu, R. Wu, et al., Biosens. Bioelectron. 1790 (2021) 113062.
43. [43]
  L.M. Rao, X.Y. Lu, L.L. Xu, et al., Chemosphere 289 (2022) 133116. doi: 10.1016/j.chemosphere.2021.133116
44. [44]
  M.T. Stuart, N.J. Nersessian, Minds Mach. 29 (2019) 87–107. doi: 10.1007/s11023-018-9484-3
45. [45]
  T. Mizuno, J. Appl. Probab. 43 (2016) 1181–1185.
46. [46]
  V. Quan Tran, Constr. Build. Mater. 328 (2022) 127103. doi: 10.1016/j.conbuildmat.2022.127103
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