Skip to main content

Chemically modified mesoporous wood: a versatile sensor for visual colorimetric detection of trinitrotoluene in water, air, and soil by smartphone camera

Abstract

There is great interest in detection of the level of 2,4,6-trinitrotoluene (TNT) explosive due to its importance in public security and environmental protection fields. The conventional chemical sensors do not simultaneously realize simple, rapid, sensitive, selective, and direct detection of TNT in different medium without sample pretreatment. Here we present a modified wood-based chemical sensor for visual colorimetric detection of TNT in water, air, and soil. The natural wood undergoes a delignified process, which is further functionalized by 3-aminopropyltriethoxysilane (APTES). When TNT solutions are introduced, the wood-based sensor shows a colorimetric transition from light yellow to brown for naked-eye readout because of the generation of Meisenheimer complex between APTES and TNT. The photographs are collected by smartphone camera, and the RGB components are extracted to calculate the adjusted intensity for qualitative detection of TNT. This visual colorimetric sensor for TNT solution displays a linearity in the range of 0.01–5 mM with a limit of detection of 3 μM. In addition, by taking advantage of its inherent mesostructure, the wood-based sensor can be employed for visual detection of TNT vapor as well. Furthermore, it is also able to directly detect TNT in wet soil samples based on capillary action, in which TNT carried by water transports upward along the wood microchannel, triggering the generation of Meisenheimer complex.

Graphical Abstract

This is a preview of subscription content, access via your institution.

Scheme 1
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

References

  1. Díaz Aguilar A, Forzani ES, Leright M, Tsow F, Cagan A, Iglesias RA, et al. A hybrid nanosensor for TNT vapor detection. Nano Lett. 2010;10:380–4.

    Article  Google Scholar 

  2. Novotney JL, Dichtel WR. Conjugated porous polymers for TNT vapor detection. ACS Macro Lett. 2013;2:423–6.

    CAS  Article  Google Scholar 

  3. Zou W-S, Sheng D, Ge X, Qiao J-Q, Lian H-Z. Room-temperature phosphorescence chemosensor and Rayleigh scattering chemodosimeter dual-recognition probe for 2,4,6-trinitrotoluene based on manganese-doped ZnS quantum dots. Anal Chem. 2011;83:30–7.

    CAS  Article  Google Scholar 

  4. Zhang L, Han Y, Zhu J, Zhai Y, Dong S. Simple and sensitive fluorescent and electrochemical trinitrotoluene sensors based on aqueous carbon dots. Anal Chem. 2015;87:2033–6.

    CAS  Article  Google Scholar 

  5. Xiao F-N, Wang K, Wang F-B, Xia X-H. Highly stable and luminescent layered hybrid materials for sensitive detection of TNT explosives. Anal Chem. 2015;87:4530–7.

    CAS  Article  Google Scholar 

  6. Geng Y, Ali MA, Clulow AJ, Fan S, Burn PL, Gentle IR, et al. Unambiguous detection of nitrated explosive vapours by fluorescence quenching of dendrimer films. Nat Commun. 2015;6:8240.

    CAS  Article  Google Scholar 

  7. Zhang K, Zhou H, Mei Q, Wang S, Guan G, Liu R, et al. Instant visual detection of trinitrotoluene particulates on various surfaces by ratiometric fluorescence of dual-emission quantum dots hybrid. J Am Chem Soc. 2011;133:8424–7.

    CAS  Article  Google Scholar 

  8. Dasary SSR, Singh AK, Senapati D, Yu H, Ray PC. Gold nanoparticle based label-free SERS probe for ultrasensitive and selective detection of trinitrotoluene. J Am Chem Soc. 2009;131:13806–12.

    CAS  Article  Google Scholar 

  9. Yang Z, Dou X, Zhang S, Guo L, Zu B, Wu Z, et al. A high-performance nitro-explosives Schottky sensor boosted by interface modulation. Adv Funct Mater. 2015;25(26):4039–48.

    CAS  Article  Google Scholar 

  10. Huang S, He Q, Xu S, Wang L. Polyaniline-based photothermal paper sensor for sensitive and selective detection of 2,4,6-trinitrotoluene. Anal Chem. 2015;87:5451–6.

    CAS  Article  Google Scholar 

  11. Wang J, Liu G, Wu H, Lin Y. Sensitive electrochemical immunoassay for 2,4,6-trinitrotoluene based on functionalized silica nanoparticle labels. Anal Chim Acta. 2008;610:112–8.

    CAS  Article  Google Scholar 

  12. Ewing R, Atkinson D, Eiceman G, Ewing G. A critical review of ion mobility spectrometry for the detection of explosives and explosive related compounds. Talanta. 2001;54:515–9.

    CAS  Article  Google Scholar 

  13. Na N, Zhang C, Zhao M, Zhang S, Yang C, Fang X, et al. Direct detection of explosives on solid surfaces by mass spectrometry with an ambient ion source based on dielectric barrier dischar. J Mass Spectrom. 2007;42:1079–85.

    CAS  Article  Google Scholar 

  14. Karasek F, Denney D. Detection of 2, 4, 6-trinitrotoluene vapours in air by plasma chromatography. J Chromatogr A. 1974;1974(93):141–7.

    Article  Google Scholar 

  15. Engel Y, Elnathan R, Pevzner A, Davidi G, Flaxer E, Patolsky F. Supersensitive detection of explosives by silicon nanowire arrays. Angew Chem Int Ed. 2010;49:6830–5.

    CAS  Article  Google Scholar 

  16. Qi W, Xu M, Pang L, Liu Z, Zhang W, Majeed S, et al. Electrochemiluminescence detection of TNT by resonance energy transfer through the formation of a TNT-amine complex. Chem Eur J. 2014;20:4829–35.

    CAS  Article  Google Scholar 

  17. Xu S, Lu H. Mesoporous structured MIPs@ CDs fluorescence sensor for highly sensitive detection of TNT. Biosens Bioelectron. 2016;85:950–6.

    CAS  Article  Google Scholar 

  18. Zhao M, Yu H, He Y. A dynamic multichannel colorimetric sensor array for highly effective discrimination of ten explosives. Sensors Actuators B Chem. 2019;283:329–33.

    CAS  Article  Google Scholar 

  19. Li M, Huang X, Yu H. A colorimetric assay for ultrasensitive detection of copper (II) ions based on pH-dependent formation of heavily doped molybdenum oxide nanosheets. Mater Sci Eng C Mater. 2019;101:614–8.

    CAS  Article  Google Scholar 

  20. Mohan M, Chand D. Visual colorimetric detection of TNT and 2, 4-DNT using as-prepared hexaazamacrocycle-capped gold nanoparticles. Anal Methods. 2014;6:276–81.

    CAS  Article  Google Scholar 

  21. Huang W, Deng Y, He Y. Visual colorimetric sensor array for discrimination of antioxidants in serum using MnO2 nanosheets triggered multicolor chromogenic system. Biosens Bioelectron. 2017;91:89–94.

    CAS  Article  Google Scholar 

  22. Zeng S, Yong K, Roy I, Dinh X, Yu X, Luan F. A review on functionalized gold nanoparticles for biosensing applications. Plasmonics. 2011;6:491.

    CAS  Article  Google Scholar 

  23. Priyadarshini E, Pradhan N. Gold nanoparticles as efficient sensors in colorimetric detection of toxic metal ions: a review. Sensors Actuators B Chem. 2017;238:888–02.

    CAS  Article  Google Scholar 

  24. He Y, Xu B, Li W, Yu H. Silver nanoparticle-based chemiluminescent sensor array for pesticide discrimination. J Agric Food Chem. 2015;63:2930–4.

    CAS  Article  Google Scholar 

  25. Huang W, Wang J, Du J, Deng Y, He Y. Contrary logic pairs and circuits using a visually and colorimetrically detectable redox system consisting of MoO3-x nanodots and 3, 3′-diaminobenzidine. Microchim Acta. 2019;186:79.

    Article  Google Scholar 

  26. Jiang Y, Zhao H, Zhu N, Lin Y, Yu P, Mao L. A simple assay for direct colorimetric visualization of trinitrotoluene at picomolar levels using gold nanoparticles. Angew Chem Int Ed. 2008;47:8601–4.

    CAS  Article  Google Scholar 

  27. Mohan M, Chand DK. Visual colorimetric detection of TNT and 2,4-DNT using as-prepared hexaazamacrocycle-capped gold nanoparticles. Anal Methods-UK. 2014;6:276–81.

    CAS  Article  Google Scholar 

  28. Lin D, Liu H, Qian K, Zhou X, Yang L, Liu J. Ultrasensitive optical detection of trinitrotoluene by ethylenediamine-capped gold nanoparticles. Anal Chim Acta. 2012;744:92–8.

    CAS  Article  Google Scholar 

  29. Yue Y, He Y. A sensitive and selective method for visual chronometric detection of copper(II) ions using clock reaction. Anal Sci. 2019;35:159–63.

    CAS  Article  Google Scholar 

  30. Du J, Zhao M, Huang W, Deng Y, He Y. Visual colorimetric detection of tin (II) and nitrite using a molybdenum oxide nanomaterial-based three-input logic gate. Anal Bioanal Chem. 2018;410:4519–26.

    CAS  Article  Google Scholar 

  31. Zhou Y, Huang W, He Y. pH-Induced silver nanoprism etching-based multichannel colorimetric sensor array for ultrasensitive discrimination of thiols. Sensors Actuators B Chem. 2018;270:187–91.

    CAS  Article  Google Scholar 

  32. Hughes S, Dasary S, Begum S, Williams N, Yu H. Meisenheimer complex between 2, 4, 6-trinitrotoluene and 3-aminopropyltriethoxysilane and its use for a paper-based sensor. Sens Biosens Res. 2015;5:37–41.

    Article  Google Scholar 

  33. Jiang F, Li T, Li Y, Zhang Y, Gong A, Dai J, et al. Wood-based nanotechnologies toward sustainability. Adv Mater. 2018;30:1703453.

    Article  Google Scholar 

  34. Song J, Chen C, Zhu S, Zhu M, Dai J, Ray U, et al. Processing bulk natural wood into a high-performance structural material. Nature. 2018;554:224–8.

    CAS  Article  Google Scholar 

  35. Li Y, Fu Q, Yu S, Yan M, Berglund L. Optically transparent wood from a nanoporous cellulosic template: combining functional and structural performance. Biomacromolecules. 2016;17:1358–64.

    CAS  Article  Google Scholar 

  36. Fu Q, Ansari F, Zhou Q, Berglund LA. Wood nanotechnology for strong, mesoporous, and hydrophobic biocomposites for selective separation of oil/water mixtures. ACS Nano. 2018;12:2222–30.

    CAS  Article  Google Scholar 

  37. Jia C, Li Y, Yang Z, Chen G, Yao Y, Jiang F, et al. Rich mesostructures derived from natural woods for solar steam generation. Joule. 2017;1:588–99.

    Article  Google Scholar 

  38. Jia C, Chen C, Kuang Y, Fu K, Wang Y, Yao Y, et al. From wood to textiles: top-down assembly of aligned cellulose nanofibers. Adv Mater. 2018;1801347.

  39. Jia C, Jiang F, Hu P, Kuang Y, He S, Li T, et al. Anisotropic, mesoporous microfluidic frameworks with scalable, aligned cellulose nanofibers. ACS Appl Mater Interfaces. 2018;10:7362–70.

    CAS  Article  Google Scholar 

  40. Wu P, Xu C, Hou X, Xu J-J, Chen H-Y. Dual-emitting quantum dot nanohybrid for imaging of latent fingerprints: simultaneous identification of individuals and traffic light-type visualization of TNT. Chem Sci. 2015;6:4445–50.

    CAS  Article  Google Scholar 

  41. Pablos JL, Trigo-López M, Serna F, García FC, García JM. Water-soluble polymers, solid polymer membranes, and coated fibres as smart sensory materials for the naked eye detection and quantification of TNT in aqueous media. Chem Commun. 2014;50:2484–7.

    CAS  Article  Google Scholar 

Download references

Funding

This research is supported by the National Natural Science Foundation of China (41872039 and 41831285), the One-Thousand-Talents Scheme in Sichuan Province, Sichuan Science and Technology Program (2018JY0462), Open Foundation of Chongqing Key Laboratory of Environmental Materials and Remediation Technology (CEK1701), Longshan Scholars Programme of Southwest University of Science and Technology (Grant Nos. 18LZX204 and 17LZX449), Foundation of Chongqing Municipal Science and Technology Commission (project number cstc2015jcyjBX0123), and China Academy of Engineering Physics Foundation (18zh005603).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Yi He.

Ethics declarations

Conflict of interest

The authors declare they have no conflict of interest.

Research involving human participants and/or animals

The authors declare that no human participants and/or animals were involved in this research.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(PDF 216 kb)

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Cai, Y., Dong, F. et al. Chemically modified mesoporous wood: a versatile sensor for visual colorimetric detection of trinitrotoluene in water, air, and soil by smartphone camera. Anal Bioanal Chem 411, 8063–8071 (2019). https://doi.org/10.1007/s00216-019-02172-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00216-019-02172-8

Keywords

  • Wood
  • Trinitrotoluene
  • Visualization
  • Colorimetry
  • Smartphone