Seyedeh Dorsa Davaria,
Mohammad Rabbani*b,
Afshin Akhondzadeh Bastic and
Mohammad Kazem Koohid
aDepartment of Food Science and Technology, Tehran North Branch, Islamic Azad University, Tehran, Iran
bDepartment of Marine Chemistry, Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran. E-mail: m.rabbani.iau@gmail.com; Tel: +98 22173060
cDepartment of Food Hygiene, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
dDepartment of Comparative Sciences, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
First published on 29th June 2021
The aim of the current research is to develop a MSPE method for the determination of furfural in baby food and dry milk samples. In this regard, a novel magnetic porous carbon composite coated with poly(p-phenylenediamine) was fabricated, characterized, and then applied to the preconcentration/extraction of furfurals from baby food and dry milk powder samples. Initially, magnetic nanoparticles (Fe3O4) were synthesized, and then coated with a metal–organic framework layer named MIL-101(Fe). Afterward, the magnetic MIL-101(Fe) was subjected to calcination under a nitrogen atmosphere and magnetic porous carbon was achieved. Finally, a layer of poly(p-phenylenediamine) was coated on the magnetic porous carbon. The structure of the nanocomposite was investigated with various methods, including FT-IR spectroscopy, electron microcopies (SEM and TEM), VSM, and XRD. The fabricated nanocomposite was applied in magnetic solid-phase extraction of furfural and hydroxymethyl furfural and their determination with liquid chromatography. The effect of experimental variables was explored by using an experimental design approach. The LODs and linear range for the target furfurals were 1.0–2.0 μg kg−1 and 3.0–500 μg kg−1, respectively. The method's repeatability was explored using RSD values and was found to be in the range of 5.2–6.4% (one-day, n = 5) and 9.1–10.8% (day to day, n = 3). Eventually, this new method was employed for the extraction/quantification of target compounds in baby food and dry milk powder samples.
It has been legislated by the European Union that the HMF concentration of honey after processing/blending should be less than 40 mg kg−1.8 The mentioned pollutants are evaluated as nutritional deterioration and heat damage tools in honey, fruit juices, and milk-based infant formula, which are employed to prepare infant and baby food.3
Various extraction/analytical methods such as spectroscopy,9 solid-phase extraction-chromatography-mass spectrometry (SPE-GC-MS),10 SPE-LC-MS,11 and SPE-LC-MS/MS12 have been reported for the quantification of F and HMF in foods. Because of the nature of a food matrix and the low levels of F and HMF in the food samples, a sample preparation step is vital, which increases the method sensitivity. In this regard, the development of a simple, facile, precise, and accurate extraction method before furfural quantification is a very significant issue.
A new format of solid-phase extraction (SPE) named magnetic-SPE (MSPE), based on magnetic nanoparticles/composites, is widely employed in the sample preparation process.13–16 In the MSPE method, adsorbents with superparamagnetic features are applied that can be isolated from the extraction medium via magnetic separation, and so there is no need for a filtration/centrifugation step.17 Owing to the superparamagnetic properties, magnetic adsorbents tend to form aggregates, which decreases their performance during the extraction process. Besides, bare magnetic nanoparticles do not have suitable functional moieties. Accordingly, the modification of MNPs and the fabrication of their composites are suggested.18–20 Functionalization of MNPs can be accomplished by various materials, like metal–organic framework (MOFs). These materials, a unique class of porous compounds, are constructed from metallic centers and organic bridging ligands. Magnetic porous carbons (MPCs) as a group of unprecedented materials can be derived from MOFs as precursors in a one-step carbonization process.19 In the carbonization procedure of some MOFs, the metallic parts aggregate producing magnetic nanoparticles (MNPs) and the linkers convert to a porous carbon backbone that embeds the MNPs.20 This approach does not need additional carbon precursors. The resultant composite benefits from the superparamagnetic features of magnetic NPs, and the excellent characteristics of MPCs (chemical stability, high surface area) and for the MSPE method. The MNPs encapsulated in the carbon (MPC) prevent the agglomeration of these particles and enhance their stability in harsh chemical conditions.21 Moreover, compared to non-magnetic nanocomposites such as graphene and carbon nanotubes, MPCs can be magnetically separated from the extraction media, providing faster and simpler separation.22
The aim of the current research is to develop a MSPE method for the determination of furfural in baby food and dry milk samples. In this way, a novel magnetic porous carbon composite coated with poly(p-phenylenediamine) (PPDA) was synthesized and applied for preconcentration/determination of furfurals in baby food and dry milk powder samples. At first, Fe3O4 nanoparticles were synthesized and then were coated with a MOF layer of the type MIL-101(Fe). After that, the magnetic MIL-101(Fe) underwent calcination under an N2 atmosphere, and a magnetic porous carbon (MPC) was achieved. Finally, p-phenylenediamine was polymerized on the MPC surface via oxidative polymerization. Furfurals are polar compounds, and hence a coating layer such as PPDA is necessary to improve their extractability from the aqueous medium via π–π stacking, π–cation interaction, and hydrogen bond formation. To the best of the authors' knowledge, there is no report on the synthesis and utilization of MPC@poly(p-phenylenediamine) (MPC@PPDA) for the magnetic solid phase extraction of furfural compounds from baby food and dry milk powder samples.
F and HMF (analytical-grade) were obtained from Sigma-Aldrich (Germany). Stock solutions of F and HMF (1000 μg mL−1) were prepared in methanol. Working mixed solutions of furfurals were prepared daily by diluting appropriate volumes of the stock solutions in DI water. Carrez solutions I and II were used for sample preparation. Carrez solution I was fabricated by dissolving 10.6 g K3[Fe(CN)6] in 100 mL DI water. To prepare Carrez solution II, in brief, 21.9 g Zn(OAc)2 along with 3 mL HOAc were mixed in a 100 mL volumetric flask, and then its volume was adjusted with DI water.
FT-IR spectra were obtained by employing a Bomem MB-Series spectrophotometer (USA). Magnetic features of the fabricated adsorbents were recorded on a vibrating sample magnetometer (VSM) system (Kashan Kavir; Iran) at room temperature by applying a 1 T magnetic field. X-ray diffraction (XRD) patterns were recorded on a Philips-PW 12C diffractometer system (Amsterdam, The Netherlands) consisting of a copper Kα radiation source. The morphology study was conducted on a scanning electron microscope (SEM) of the type KYKY-3200 (Beijing, China, Zhongguancun Beijing, China). The transmission electron microscopy (TEM) assay was accomplished on Zeiss-EM10C-100 kV apparatus (Carl Zeiss, Germany).
In the next step, the MIL-101(Fe)/MNPs were carbonized under a nitrogen atmosphere (600 °C, 2 h), and a MPC composite was achieved. Finally, a polymer layer of the type poly(p-phenylenediamine) (PPDA) was coated on the MPC via oxidative polymerization. In this regard, 0.5 g MPC and 2.16 PDA were suspended in 150 mL 0.2 mol L−1 HCl solution in an ice bath (4 °C). Afterwards, 5.4 g APS was dissolved in 20 mL DI water and was added to the reaction mixture drop by drop in the ice bath for 30 min. The reaction was conducted for 24 h at 4 °C.25 Finally, to stop the reaction, acetone was added to the mixture, and the MPC@PPDA precipitate was gathered and washed with water and methanol seven times to discard the unreacted reagents and finally dried at 50 °C for 12 h.
The morphology of the MPC@PPDA nanocomposite was characterized by TEM and SEM methods. As represented in the SEM image in Fig. 2a, MPC@PPDA shows a three-dimensional porous structure, with spherical particles (diameter, ca. 50 nm). As depicted in the TEM micrograph (Fig. 2b), the MPC@PPDA nanocomposite has a highly porous structure and shows no noticeable aggregation. The average particle size according to the TEM method was 25 nm. This difference in the particle sizes between SEM and TEM can be related to the lower resolution of the SEM technique compared to TEM.27
Fig. 2 (a) SEM image of the MPC@PPDA nanocomposite, and (b) TEM micrograph of the MPC@PPDA nanocomposite. |
To study the crystalline structure of the MIL-101(Fe)/MNPs and MPC@PPDA nanocomposites, their XRD patterns were recorded in the 2θ region of 1–80° (Fig. 3a and b). In the XRD pattern of the MIL-101(Fe)/MNPs, the diffraction peaks at 2θ = 9, 16.5, and 18.6 correspond to MIL-101(Fe). Besides, the characteristic peaks of magnetite (2θ = 30.2, 35.6, 43.4, 57.2, 63.0, and 74.5) are observable in the MIL-101(Fe)/MNPs pattern. The diffraction peaks at 2θ = 30.5, 35.8, 43.3, 57.3, 62.9, and 74.1 in the pattern of MPC@PPDA correspond to Fe3O4 crystals and confirm the presence of MNPs in this material.
Fig. 3 XRD patterns of (a) MIL-101(Fe)/MNPs and (b) the MPC@PPDA nanocomposite; (c) VSM curves of the MNPs and MPC@PPDA. |
In the next step, the magnetic characteristics of the MNPs and MPC@PPDA were studied and compared using the VSM method. As depicted in Fig. 3c, the VSM curves showed no magnetic hysteresis loops, which can be attributed to their superparamagnetic properties. The saturation magnetization of the MNPs and MPC@PPDA are 58 and 38 emu g−1, respectively, which is sufficient for magnetic isolation. The decrease in the magnetization of MPC@PPDA compared to the MNPs is owing to the formation of the carbon skeleton and PPDA polymer layer in the final composite, which act as a shield.
The effect of salt concentration on the extractability of F and HMF was studied by addition of various amounts of NaCl (0–20% w/v) to the sample solution (Fig. 4c). Salt addition can alter the solubility and diffusion rate of the analytes in the solution. The results exhibited that the extraction performance of furfural compounds increases with the addition of salt up to 15% w/v, and then a decrease in the efficiency was observed. The increase in extraction efficiency can be associated with the salting-out effect. The reduction of the extraction performance beyond 15% w/v can be related to the increase of the solution viscosity.28 Besides, at a higher NaCl value, the active sites of MPC@PPDA will be saturated by the coexisting ions.28
Level | Star points (α = 2) | ||||
---|---|---|---|---|---|
Lower | Central | Upper | −α | +α | |
A: pH | 3.0 | 4.5 | 6.0 | 1.5 | 7.5 |
B: Sorption time (min) | 10.0 | 15.0 | 20.0 | 5.0 | 25.0 |
C: Eluent volume (μL) | 100 | 150 | 200 | 50 | 250 |
D: MPC@PPDA dose (mg) | 20.0 | 30.0 | 40.0 | 10.0 | 50.0 |
The results of the CCD study exhibited good accordance with the quadratic polynomial model. ANOVA was applied to determine the significant parameters and their possible interactions, and to construct the model. The results of ANOVA exhibited that MPC@PPDA has the highest significant effect on the extraction performance. The pH of the sample and the eluent volume were the second and third most significant variables and extraction time showed a non-significant effect on the extraction performance. A model p-value lower than 0.0001 was observed, which proves that the suggested model is significant and implies that there is only a 0.01% chance that a “Model F-value” this large could occur due to noise. Moreover, the p-value of the lack of fit is 0.0674 (0.05<), which confirms that this value is non-significant relative to the pure error.29–31
The best extraction efficiency was obtained under the following experimental condition: a pH value of 5.6, an MPC@PPDA amount of 40 mg, an extraction time of 16.0 min, and an eluent volume of 140 μL (Fig. 5). As illustrated in Fig. 5, all the parameters were optimized properly in the studied domain and exhibit a curvature. Under these conditions, the desirability value is equal to 0.987. Nanostructured adsorbents such as MPC@PPDA benefit from a high surface area and short analyte diffusion route that leads to higher extraction performance and faster extraction kinetics compared with conventional adsorbents. The extraction efficiency of F and HMF was improved by enhancing the eluent volume up to 140 μL, and then a decrease was observed in the enhancement factors owing to the dilution effect.
Analyte | LOD | LOQ | Linear range | R2 | EFb | RSD (%) (within day)c | RSD (%) (between day)c |
---|---|---|---|---|---|---|---|
a All concentrations are based on μg kg−1.b Enhancement factor.c Relative standard deviations (n = 5 samples for within day and n = 3 days for between day) were obtained at a 20 μg kg−1 level of the furfurals. | |||||||
F | 1.0 | 3.0 | 3.0–400 | 0.9971 | 125 | 5.2 | 10.8 |
HMF | 2.0 | 7.0 | 7.0–500 | 0.9945 | 113 | 6.4 | 9.1 |
RSD was calculated using eqn (1):
(1) |
Based on the above equation, the RSDs were obtained in the range of 5.2–6.4% (one-day, n = 5) and 9.1–10.8% (day to day, n = 3). EF was determined by dividing the slope of the calibration plot after preconcentration by the slope of the calibration plot before performing the extraction process.28
Baby food and dry milk samples were analyzed to reveal the applicability of the method. The concentration of F and HMF was computed using the calibration equation of each of them and using the spiking method. The relative recovery was calculated using eqn (2):
(2) |
In this equation Cfound, Creal, and Cadded represent the concentration of furfurals in the spiked samples, the concentration of furfurals in the non-spiked sample, and the spiked level for the real sample, respectively.28 Fig. 7 depicts the chromatograms of non-spiked dry milk 3, and spiked dry milk 3 at 25.0 μg kg−1 of HMF and 10.0 μg kg−1 of F, after performing the MSPE process. As exhibited in Table 3, the relative recovery and precision were obtained in the ranges of 81–111% and 4.2–10.5%, which are desirable. These results suggest that the MSPE method is reliable and precise and provides a matrix-free analysis.
Fig. 7 The chromatograms of: (a) non-spiked dry milk 3, and (b) spiked dry milk 3 at 25.0 μg kg−1 of HMF and 10.0 μg kg−1 of F, after performing the MSPE process. |
Sample | Analyte | Real value | Added | Found ± SDb | Recovery (%) |
---|---|---|---|---|---|
a All concentrations are based on μg kg−1.b Relative recovery. | |||||
Dry milk 1 | F | 10.5 | 10.0 | 19 ± 1.7 | 85 |
HMF | 251 | 250 | 453 ± 47 | 81 | |
Dry milk 2 | F | NDa | 10.0 | 9.1 ± 0.8 | 91 |
HMF | 25.8 | 25.0 | 52.1 ± 4.4 | 105 | |
Dry milk 3 | F | 7.5 | 10.0 | 17.2 ± 1.2 | 97 |
HMF | 25.3 | 25.0 | 51.3 ± 3.8 | 104 | |
Dry milk 4 | F | ND | 10.0 | 9.5 ± 1.0 | 95 |
HMF | 16.3 | 15.0 | 32.1 ± 2.8 | 105 | |
Baby food 1 | F | 210 | 200 | 401 ± 28 | 96 |
HMF | 1503 | 1000 | 2402 ± 100 | 90 | |
Baby food 2 | F | 195 | 200 | 380 ± 31 | 93 |
HMF | 1204 | 1000 | 2109 ± 125 | 91 | |
Baby food 3 | F | 440 | 400 | 790 ± 51 | 88 |
HMF | 1095 | 1000 | 2120 ± 140 | 102 | |
Baby food 4 | F | 590 | 500 | 1028 ± 70 | 88 |
HMF | 7810 | 1000 | 8925 ± 405 | 111 |
Analyte | Method | Linear rangea | R2 | LODa | LOQa | RSD (%) | Ref. |
---|---|---|---|---|---|---|---|
a All concentrations are based on μg kg−1.b Dispersive liquid–liquid microextraction.c Mass spectrometry.d Diode array detection μg L−1.e μg L−1. | |||||||
F | DLLMEb-HPLC-UV | 1.0–200 | 0.99< | 0.7 | 2.4 | 3.9 | 1 |
HMF | 1.8 | 5.9 | 4.9 | ||||
F | LLE-HPLC-UV | 110–22220 | — | 133 | — | 12.7 | 2 |
HMF | 67 | 4.4 | |||||
F | DLLME-HPLC-UV | 0.2–200 | 0.9902 | 1.3 | 4.4 | 4.7 | 3 |
HMF | 0.9915 | 2.1 | 6.7 | 5.1 | |||
HMF | SPE-LC-MSc | 50–2000 | 0.99< | 5.0 | — | ≤5.1 | 11 |
HMF | HPLC-UV | 10–200000 | — | 30.0 | — | <2.7 | 32 |
F | HPLC-UV | 140–3000 | 0.9999 | 3.5 | 11.6 | — | 33 |
HMF | 80–10000 | 8.0 | 27.0 | ||||
F | LLE-HPLC-DADd | 0.9991 | 1.1e | 3.7e | 1.52 | 34 | |
HMF | 0.9998 | 4.8e | 15.9e | 1.08 | |||
F | MSPE-HPLC-UV | 3.0–400 | 0.9971 | 1.0 | 3.0 | 5.2 | This study |
HMF | 7.0–500 | 0.9945 | 3.0 | 7.0 | 6.4 |
This journal is © The Royal Society of Chemistry 2021 |