Open Access Article
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Rapid detection of hexamethylenetetramine based on the substrate UC@SiO2@Au@Ag using SERS

Rui Tonga, Xiaopeng Hua, Guozhen Fang*a, Shiming Suna, Jingmin Liub and Shuo Wang*ac
aKey Laboratory of Food Nutrition and Safety, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, China. E-mail: fangguozhen@tust.edu.cn; s.wang@tust.edu.cn
bResearch Center of Food Science and Human Health, School of Medicine, Nankai University, Tianjin 300071, China
cBeijing Advanced Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University, Beijing 100048, China

Received 11th July 2017 , Accepted 18th October 2017

First published on 26th October 2017


Abstract

A reliable upconversion (UC) material assembled from Au@Ag (UC@SiO2@Au@Ag), as the substrate, was firstly employed to detect hexamethylenetetramine (HMT) in bean vermicelli by surface enhanced Raman spectroscopy (SERS). In this substrate, UC can convert near-infrared (NIR) light into visible light to promote localized surface plasmon resonance (LSPR) of noble metal nanoparticles to enhance the SERS signal. According to optimized synthesis conditions, the SERS substrate was obtained and evaluated. The substrate shows uniformity with RSD of 7.05% and 7.37% for the Raman vibrations at ∼780 cm−1 and ∼1043 cm−1 respectively, and sensitivity with detection limits of 1 mg L−1 for HMT. Based on the better sensitivity of this method, the artificially positive samples have been detected.


1 Introduction

Hexamethylenetetramine (HMT), known as hexamine or urotropine, is usually used for urinary tract infection therapy. However some illegal traders add HMT to food products to make them fresh and for anti-corrosion. But formaldehyde produced by HMT has carcinogenicity and chronic toxicity.1 Up till now, the various modern methods used to detect HMT have been gas chromatography coupled mass spectrometry (GC-MS)2,3 and high performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS).4 Although these methods are accurate, reliable and sensitive, they are time consuming, expensive and labour-intensive.5 Therefore, an advanced method that is rapid, has a simple operation and is inexpensive is crucial to detect HMT in food products.

Surface enhanced Raman spectroscopy (SERS), as an important spectroscopic analytical method, with rapidness and simple operation has been widely used in chemical detections because of their unique spectral fingerprints. The signal of SERS is much higher than that of normal Raman, which mainly due to a combination of electromagnetic and chemical mechanisms.6–10 Strong electromagnetic fields are generated when the LSPR of metal nanoparticles is excited by visible light. So the Raman signal will be enhanced. Fortunately, because of multiple photon absorptions or energy transfer,11,12 NaYF4, Yb, Er upconversion (UC) materials can convert near-infrared (NIR) light into visible light. Besides, UC materials have the advantages of low toxicity and chemical stability.13 Thus, UC materials assembling noble metal nanoparticles can generate good SERS performance under NIR laser excitation.14,15

In this work, UC materials assembled Au@Ag (UC@SiO2@Au@Ag) was firstly employed as SERS substrate to detect HMT in the artificially positive samples. Schematic representation of synthesis of UC@SiO2@Au@Ag and detection of HMT was showed in Fig. 1.


image file: c7ra07634g-f1.tif
Fig. 1 The process of synthesis UC@SiO2@Au@Ag and detection for HMT.

2 Experimental

2.1 Chemicals and materials

Yttrium(III) nitrate pentahydrate (Y(NO3)3·6H2O, 99.9%), ytterbium(III) nitrate pentahydrate (Yb(NO3)3·6H2O, 99.9%), erbium(III) nitrate pentahydrate (Er(NO3)3·6H2O, 99.9%), L-ascorbic acid (≥99.0%), 3-aminopropyltrimethoxysilane (APTES), tetraethyl orthosilicate (TEOS), gold(III) chloride trihydrate (HAuCl4·3H2O), L-ascorbic acid were obtained from Sigma (Sigma-Aldrich, USA), silver nitrate (AgNO3) and trisodium citrate were obtained from Sinopharm Chemical Reagent Co., Ltd (Beijing, China). Other reagents were all obtained from Sinopharm Chemical Reagent Co., Ltd (Beijing, China). Urotropine was purchased from Dr Ehrenstorfer GmbH. Bean vermicelli was purchased from the local supermarket. Ultrapure water (≥18 MΩ, Milli-Q, Millipore) was used throughout the experiment.

2.2 Instruments

UV-vis absorption spectroscopy was used to determine the LSPR absorption of the Au@Ag nanoparticles (Thermo Scientific Evolution 300 UV-vis Spectrometer). Analysis of the UC@SiO2 was performed using transmission electron microscopy (TEM, JEOL-2100F). Analysis of morphology of UC were recorded using scanning electron microscope (SEM, SU-8010). The Raman spectra were recorded with a Raman spectrometer (Renishaw Inc., Gloucestershire, UK) equipped with a 785 nm laser, a Renishaw CCD camera and a 50 objective lens. A HPLC system (Shimadzu, Tokyo, Japan) consisting of a Shimadzu UV detector was used to confirm the results.

2.3 Synthesis of Au@Ag nanoparticles

The AuNPs of 10 nm were used as seeds to prepare Au@Ag nanoparticles via the modified method.16–19 Firstly, trisodium citrate (3 mL, 1%) was rapidly injected into boiling water (99 mL) with 1 mL HAuCl4·3H2O (1%) aqueous solution. After the mixture was kept boiling for 30 min, cooled down in room temperature and stored at 4 °C. Secondly, 2 mL of 0.1 mol L−1 L-ascorbic acid was put into 10 mL AuNPs at stirring for 5 min. Then AgNO3 aqueous solution was added drop by drop into the above solution and the mixture continued to stir for 60 min. After that, the obtained products were centrifuged for 10 min at 10[thin space (1/6-em)]000 rpm, then re-dispersed in 10 mL ultrapure water and stored at 4 °C.

2.4 Synthesis of upconversion microcrystals material

UC microcrystals were prepared by a modified typical hydrothermal method.11,20,21 In briefly, NaOH (0.7 g), oleic acid (8 mL) and ethanol (8 mL) were mixed under vigorously stirring. Then 5 mL ultrapure water, 3 mL (0.101 g mL−1) NaF solution and 1 mmol (total amount) of aqueous solution of Y(NO3)3·6H2O (1.56 mL), Yb(NO3)3·6H2O (400 μL)and Er(NO3)3·6H2O (40 μL) (lanthanide ion molar, Y/Yb/Er = 78/20/2) were sequentially added to the above solution under magnetic stirring. Finally the mixture was transferred to a 50 mL autoclave and heated at 230 °C for 12 h. The products were separated by centrifugation and washed 3 times with ethanol, then dried overnight in a vacuum oven at 60 °C.

2.5 Synthesis of amino-modified UC@SiO2

To make the above UC microcrystals easily bond with Au@Ag nanoparticles, amine functionalization of the microcrystals surface was further prepared.22 Typically, 50 mg UC materials was dispersed in a solution containing ethanol (80 mL) and ultrapure water (20 mL) by sonication for 30 min. Then 2 mL of 28% ammonia solution and TEOS were added to the mixture, respectively. The mixture continuously stirred for 8 h. Subsequently, 200 μL of APTMS was added dropwise and continued to react for another 1 h. After that, the products were centrifuged and rinsed 3 times with ultrapure water and ethanol, and then vacuum dried at 60 °C for 12 h.

2.6 Synthesis of UC@SiO2@Au@Ag hybrid composites

To synthesis of UC@SiO2@Au@Ag hybrid composites, Au@Ag nanoparticles was swiftly added to 1 mL amine modified UC@SiO2 microcrystals (1 mg mL−1). The mixture was slowly rotated for 12 h. Finally, the products were washed 3 times with ultrapure water, collected after centrifugation, and re-dispersed into 1 mL ultrapure water.

2.7 Sample preparation

The HMT standard solutions (20, 50, 80 mg L−1) were prepared. And the real samples (5 g) were soaked in 100 mL different concentrations standard solutions overnight and air-dry. Then the artificially positive samples were extracted using 10 mL acetonitrile by sonication for 30 min. The solution was transferred to another tube to dry by flushing with nitrogen. And then the residue was reconstituted with 0.5 mL of acetonitrile.

3 Results and discussion

3.1 Synthesis of UC@SiO2@Au@Ag substrate

UC@SiO2@Au@Ag was synthetized by assembling. In order to obtain the best Raman enhancement effect, some synthetic conditions of UC@SiO2@Au@Ag need to be optimized. These include the thickness of SiO2 layer on UC, the thickness of Ag shell and the amount of Au@Ag NPs.

To test the effect of SiO2 thickness on the Raman signal, the volumes of TEOS were set to 0, 20, 40, 60, 100 μL to obtain different silica thicknesses, respectively. As is shown in Fig. 2, when increasing volume of TEOS, the Raman signal intensity was obviously increased with the amount from 0 μL to 40 μL. This result may be for existing silicon shell to prevent phase change of UC. When the amount of TEOS over 40 μL the Raman signal was gradually reduced. Because too thickness of silicon shell brought about that incident light cannot be effective absorbed by UC microcrystals. The SEM image (Fig. 3A) reveals the uniform stick UC microcrystal with diameters about 200 nm and lengths about 2 μm, the TEM image (Fig. 3B) shows that SiO2 layer were uniformly coated in UC microcrystal with 40 μL TEOS. Thus, 40 μL TEOS was selected in the following experiments.


image file: c7ra07634g-f2.tif
Fig. 2 The Raman spectra of 1 × 103 mg L−1 HMT with different volume of TEOS (0, 20, 40, 60, 100 μL, respectively.), 1.6 mL AgNO3, 100 μL Au@Ag NPs.

image file: c7ra07634g-f3.tif
Fig. 3 (A) SEM image of UC; (B) TEM image of UC@SiO2 with 40 μL TEOS.

The thickness of Ag shell was also an important factor for Raman intensity. With the volume of AgNO3 increasing, Ag shell gradually became thickness. As is shown in Fig. 4, UC@SiO2@Au@Ag displayed stronger enhancement effect of Raman scattering signal than UC@SiO2@Au because of its wide and strong plasmon resonance. Furthermore, Raman signal intensity of 1 × 103 mg L−1 HMT obviously increase with the volume of AgNO3 over 0.8–3.2 mL range, whereas a decrease is observed beyond 3.2 mL. The results may be explained from its UV-vis spectra (shown in Fig. 5) that the increasing volume of AgNO3 resulted in blue-shifted of Au core resonance and a new resonance starts to be observed as well. When Ag shell resonance started to become slightly dominant, the strongest plasmon coupling between the Au core and Ag shell appeared. But with the further increase of AgNO3, Ag shell resonance started to become dominant and exhibited a greater blue-shift of plasmon coupling result in Raman signal intensity decreasing.23,24 So 3.2 mL AgNO3 was selected in the synthetic experiments.


image file: c7ra07634g-f4.tif
Fig. 4 The Raman spectra of 1 × 103 mg L−1 HMT with different volume of AgNO3 (0, 0.8, 1.6, 2.4, 3.2, 4 mL), 40 μL TEOS, 100 μL Au@Ag NPs.

image file: c7ra07634g-f5.tif
Fig. 5 The UV-vis spectra of Au@Ag with different amounts of AgNO3.

The effect of different volume of Au@Ag NPs must be taken into account because Au@Ag NPs is a critical element to form hot spots to improve Raman signal intensity. The results were presented in Fig. 6. With the increase of volume of Au@Ag NPs, the Raman signal intensity was obviously increased with the amount from 50 μL to 100 μL, whereas the increase was gradual decrease over 100 μL. Due to the increasing amount from 50 μL to 100 μL, the more amount of Au@Ag NPs is easier to form hot spot to cause a boost of the Raman intensity. However, the excess amount of Au@Ag NPs may influence the upconversion efficiency to lead to decrease of Raman intensity.


image file: c7ra07634g-f6.tif
Fig. 6 The Raman spectra of 1 × 103 mg L−1 HMT with different amounts of Au@Ag NPs. 40 μL TEOS, 3.2 mL AgNO3.

3.2 The uniformity of Raman substrate

It is necessary to verify the uniformity of substrate under the optimized synthetic conditions. Raman spectra of 1 × 103 mg L−1 HMT were collected. The intensity of the main vibration of HMT from 20 SERS data was showed in Fig. 7. The obvious bands of HMT can be observed at ∼780 cm−1 and ∼1043 cm−1. All the selected Raman spectra were placed in a same horizontal line (y-axis is about 0). Fig. 7 showed the relative standard deviation (RSD) of the Raman vibrations at ∼780 cm−1 and ∼1043 cm−1 were 7.05% and 7.37%, respectively, which evidently revealing the high uniform of the Raman substrate. As we all know, generating good SERS performance is related to LSPR of noble metal nanoparticles.7,24 Actually, the LSPR frequency of Au@Ag usually locate in the visible range, in other words visible light can easily match LSPR frequency of Au@Ag.14 In the NaYF4, Yb, Er structure, the function of Er3+ is converting NIR or IR to visible light. The addition of Yb3+, as sensitizers, can transfer energy from Yb3+ to Er3+ to enhance the luminous efficiency.25 Under the NIR excitation of 785 nm, the UC@SiO2@Au@Ag can boost Raman signals.
image file: c7ra07634g-f7.tif
Fig. 7 The intensity of the main vibration of HMT from 20 SERS data, RSD of the Raman vibrations at ∼780 cm−1 and the Raman vibrations at ∼1043 cm−1.

3.3 The influences of detection conditions on Raman spectra intensity

The influences of the amount of the UC@SiO2@Au@Ag and added parts of the UC@SiO2@Au@Ag on Raman spectra intensity were taken into account.

The spectra of 2.5 μL 1 × 103 mg L−1 HMT with the amount of UC@SiO2@Au@Ag from 1 μL to 4 μL added by once were recorded (Fig. 8). The Raman intensity of HMT showed obvious increase with the amount from 1 μL to 2.5 μL, whereas the Raman intensity decreased beyond 2.5 μL. Due to the more UC@SiO2@Au@Ag were aggregated on the plate with the increasing amount of UC@SiO2@Au@Ag, it cause a boost of the Raman intensity. However, when UC@SiO2@Au@Ag were aggregated too much to result in the Raman intensity decreasing.


image file: c7ra07634g-f8.tif
Fig. 8 The spectra of 2.5 μL 1 × 103 mg L−1 HMT with the amount of UC@SiO2@Au@Ag from 1 μL to 4 μL.

The spectra of 2.5 μL 1 × 103 mg L−1 HMT with the UC@SiO2@Au@Ag added-parts from one to four parts were collected (Fig. 9). As shown in Fig. 9, when 2.5 μL of UC@SiO2@Au@Ag were divided into several parts from one to three added to the plate, the SERS signal of the HMT became stronger. When the added parts over three parts, the Raman intensity of HMT decreased. On the one hand, this may be because the UC@SiO2@Au@Ag was diffused to the edge to lead to fewer UC@SiO2@Au@Ag in the center of the spot with the solvent diffusion. When the UC@SiO2@Au@Ag was added repeatedly, the UC@SiO2@Au@Ag was gradually form monolayer coverage to make the Raman intensity of HMT increased. When the added parts over three parts, the UC@SiO2@Au@Ag form multilayer accumulation and the SERS signal will be reduced accordingly. On the other hand, with added-parts increasing, more particle–particle interactions encouraged more UC@SiO2@Au@Ag to be aggregated and appropriate aggregation caused a boost of the SERS intensity, but excessive aggregation reduced the SERS intensity.


image file: c7ra07634g-f9.tif
Fig. 9 The spectra of 2.5 μL 1 × 103 mg L−1 HMT with the UC@SiO2@Au@Ag added-parts from one to four parts.

3.4 Sensitivity and practicability of detection method

2 μL of HMT solution were dropped to 2.5 μL of substrate and the Raman spectra of different concentrations from 1 mg L−1 to 100 mg L−1 were shown in Fig. 10. It can be seen that, the SERS signals decrease apparently with the reduction in HMT concentration. However, in a lower concentration of 1 mg L−1, the main characteristic peaks of HMT were still clearly observed. The LOD of the HMT was determined to be 1 mg L−1.
image file: c7ra07634g-f10.tif
Fig. 10 The SERS spectra of different concentrations from 1 mg L−1 to 100 mg L−1.

Bean vermicelli was chose as real sample to demonstrate the applicability of the detection method. The results indicated that no specific signal of HMT was observed in the bean vermicelli sample detected by the proposed method and HPLC, which meant that there was no HMT or the concentration of HMT residual in the bean vermicelli was below the detection limit. So the three kinds of the artificially positive samples were prepared by soaking bean vermicelli into different concentrations of HMT solution and detected by the proposed method under the optimal conditions. The results showed that HMT was remained on the bean vermicelli by soaking bean vermicelli and whether in low or high soaking concentrations, this method can both detect successfully (Fig. 11). Furthermore, this method does not require any complicated sample pre-treatment and only require a minute amount of sample for testing. So this method was feasible in real samples detection.


image file: c7ra07634g-f11.tif
Fig. 11 The SERS spectra of artificially positive samples from different concentrations, 80 mg L−1 soaking concentrations (a) 50 mg L−1 soaking concentrations (b) 20 mg L−1 soaking concentrations (c).

4 Conclusions

In summary, a SERS substrate with UC assembling with Au@Ag has been prepared. The preparation of UC@Au@Ag is easily carried out by simple mixing. The experiment results demonstrate the substrate can be successfully applied to detect HMT in real samples (artificially positive samples) by simple pre-treatment. The proposed method may be a promising analytical method for rapid and easy detection illegal addition in food products.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was supported by the Ministry of Science and Technology of China (No. 2012AA101602 and No. 2012BAK17B03), and the National Key Research and Development Program of China (No. 2016YFD0401204).

Notes and references

  1. E. Ariëns, A. Hanselaar, P. T. Henderson and A. Simonis, Eur. J. Clin. Pharmacol., 1982, 23, 373–375 CrossRef.
  2. H. S. Lim, J. Y. Hwang, J. I. Kim, J. C. Choi and M. Kim, Food Sci. Biotechnol., 2016, 25, 1305–1311 CrossRef CAS.
  3. X. Xu, X. Zhang, S. Abbas, E. Karangwa, E. Duhoranimana, F. Peng and P. Shu, Food Control, 2015, 57, 89–95 CrossRef CAS.
  4. X. Xu, X. Zhang, E. Duhoranimana, Y. Zhang and P. Shu, Food Control, 2016, 61, 99–104 CrossRef CAS.
  5. X. Hu, G. Fang, A. Han, Y. Fu, R. Tong and S. Wang, J. Sep. Sci., 2017, 40, 2506–2514 CrossRef CAS PubMed.
  6. J. Feng, L. Xu, G. Cui, X. Wu, W. Ma, H. Kuang and C. Xu, Biosens. Bioelectron., 2016, 81, 138–142 CrossRef CAS PubMed.
  7. P. L. Stiles, J. A. Dieringer, N. C. Shah and R. P. Van Duyne, Annu. Rev. Anal. Chem., 2008, 1, 601–626 CrossRef CAS.
  8. C. S. Ah, S. D. Hong and D.-J. Jang, J. Phys. Chem. B, 2001, 105, 7871–7873 CrossRef CAS.
  9. J. Long, H. Yi, H. Li, Z. Lei and T. Yang, Sci. Rep., 2016, 6, 33218 CrossRef CAS PubMed.
  10. Z. Yi, G. Niu, J. Luo, X. Kang, W. Yao, W. Zhang, Y. Yi, Y. Yi, X. Ye, T. Duan and Y. Tang, Sci. Rep., 2016, 6, 32314 CrossRef CAS PubMed.
  11. Z. Chen, H. Chen, H. Hu, M. Yu, F. Li, Q. Zhang, Z. Zhou, T. Yi and C. Huang, J. Am. Chem. Soc., 2008, 130, 3023–3029 CrossRef CAS PubMed.
  12. K. Qian, G. Fang and S. Wang, RSC Adv., 2013, 3, 3825 RSC.
  13. A. Qu, X. Wu, L. Xu, L. Liu, W. Ma, H. Kuang and C. Xu, Nanoscale, 2017, 9, 3865–3872 RSC.
  14. Y. Ma, H. Liu, Z. Han, L. Yang and J. Liu, Analyst, 2015, 140, 5268–5275 RSC.
  15. Y. Ma, H. Liu, Z. Han, L. Yang, B. Sun and J. Liu, Analyst, 2014, 139, 5983–5988 RSC.
  16. J. Wang, R. Liu, C. Zhang, G. Han, J. Zhao, B. Liu, C. Jiang and Z. Zhang, RSC Adv., 2015, 5, 86803–86810 RSC.
  17. X. Ji, X. Song, J. Li, Y. Bai, W. Yang and X. Peng, J. Am. Chem. Soc., 2007, 129, 13939–13948 CrossRef CAS PubMed.
  18. A. Li, L. Tang, D. Song, S. Song, W. Ma, L. Xu, H. Kuang, X. Wu, L. Liu, X. Chen and C. Xu, Nanoscale, 2016, 8, 1873–1878 RSC.
  19. X. Wu, X. Chen, F. Gao, W. Ma, L. Xu, H. Kuang, A. Li and C. Xu, Biosens. Bioelectron., 2016, 75, 55–58 CrossRef CAS PubMed.
  20. L. Wang and Y. Li, Chem. Mater., 2007, 19, 727–734 CrossRef CAS.
  21. E. Palo, L. Pihlgren, M. Tuomisto, T. Laihinen, I. Hyppänen, J. Kankare, M. Lastusaari, T. Soukka, H. C. Swart and J. Hölsä, Opt. Mater., 2016, 59, 49–54 CrossRef CAS.
  22. P. Zhao, Y. Zhu, X. Yang, X. Jiang, J. Shen and C. Li, J. Mater. Chem. A, 2014, 2, 16523–16530 CAS.
  23. B. Liu, G. Han, Z. Zhang, R. Liu, C. Jiang, S. Wang and M. Y. Han, Anal. Chem., 2012, 84, 255–261 CrossRef CAS PubMed.
  24. J.-F. Li, Y.-J. Zhang, S.-Y. Ding, R. Panneerselvam and Z.-Q. Tian, Chem. Rev., 2017, 117, 5002–5069 CrossRef CAS PubMed.
  25. Y. Sun, Y. Chen, L. Tian, Y. Yu, X. Kong, J. Zhao and H. Zhang, Nanotechnology, 2007, 18, 275609 CrossRef.

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