Open Access

Catalytic Oxidation of CO and Soot over Ce-Zr-Pr Mixed Oxides Synthesized in a Multi-Inlet Vortex Reactor: Effect of Structural Defects on the Catalytic Activity

  • Samir Bensaid1,
  • Marco Piumetti1Email author,
  • Chiara Novara1,
  • Fabrizio Giorgis1,
  • Angelica Chiodoni2,
  • Nunzio Russo1 and
  • Debora Fino1
Nanoscale Research Letters201611:494

https://doi.org/10.1186/s11671-016-1713-1

Received: 2 July 2016

Accepted: 1 November 2016

Published: 10 November 2016

Abstract

In the present work, ceria, ceria-zirconia (Ce = 80 at.%, Zr = 20 at.%), ceria praseodymia (Ce = 80 at.%, Pr = 20 at.%) and ceria-zirconia-praseodymia catalysts (Ce = 80 at.%, Zr = 10 at.% and Pr = 10 at.%) have been prepared by the multi-inlet vortex reactor (MIVR). For each set of samples, two inlet flow rates have been used during the synthesis (namely, 2 ml min−1 , and 20 ml min−1) in order to obtain different particle sizes. Catalytic activity of the prepared materials has been investigated for CO and soot oxidation reactions. As a result, when the catalysts exhibit similar crystallite sizes (in the 7.7–8.8 nm range), it is possible to observe a direct correlation between the Ov/F2g vibrational band intensity ratios and the catalytic performance for the CO oxidation. This means that structural (superficial) defects play a key role for this process. The incorporation of Zr and Pr species into the ceria lattice increases the population of structural defects, as measured by Raman spectroscopy, according to the order: CeO2 < Ce80Zr20 < Ce80Zr10Pr10 < Ce80Pr20. On the other hand, the presence of zirconium and praseodymium into the ceria lattice does not have a direct beneficial effect on the soot oxidation activity for these catalysts, in contrast with nanostructured ones (e.g., Ce–Zr–O nanopolyhedra, Ce–Pr–O nanocubes) described elsewhere (Andana et al. Appl. Catal. B 197: 125–137, 2016; Piumetti et al., Appl Catal B 180: 271-282, 2016).

Keywords

CeriaZirconiaPraseodymiaDopantsStructural defectsCO oxidationSoot oxidation

Background

During the last few decades, ceria-based catalysts and related materials have extensively been investigated, thanks to their interesting redox properties that allow rapid oxygen intake-uptake [13]. Many studies have proven the beneficial role of ceria in catalyzing soot and CO oxidations [410]. In soot combustion, whose non-catalytic oxidation occurs at temperatures above 550 °C [11], a good contact between the catalyst and soot particles is necessary to considerably reduce the oxidation temperatures; this is normally attained by tuning ceria morphology at the nanoscale size [7, 8, 1214]. Moreover, the ability of catalysts to activate oxygen species (O*) is strictly necessary for this oxidation reaction. On the other hand, in CO oxidation, the oxygen storage capacity (OSC) plays a key role since this reaction catalyzed by ceria takes place through the Mars-van Krevelen (MvK)-type mechanism [35, 15]. According to this mechanism, indeed, oxygen vacancies (Ov) are created during the CO oxidation at catalyst surface, followed by oxygen refilling from the bulk phase. The incorporation of metal dopants perturbs the material structure, creating defects that may take form as vacancies or interstitial defects. The latter are usually the prerequisite of enhanced the oxidation activity and thermal stability [3, 1618]. Among the various elements used as dopants for ceria catalysts, zirconium and praseodymium have received a major interest over the last few years [6, 12, 16, 19]. Zr or Pr species embedded into the ceria lattice promote the formation of crystallographic defects [6, 12]. As a whole, structural defects in metal oxide catalysts are highly desirable since they can enhance the number of oxygen vacancies (Ov) and hence the electronic properties are favored, namely the mobility of electrons and negatively charged ions in the solid framework [16]. Moreover, our recent study with Ce–Zr mixed oxides has shown that the use of non-reducible, isovalent Zr4+ improves both the oxidation activity and thermal stability of the ceria catalysts [6]. Conversely, the aliovalent praseodymium has been identified as a “redox cycle promoter” [12]; the presence of this metal, indeed, would favor the creation of Ce3+ species in the ceria [12].

The present study focuses on the synthesis of ceria-based catalysts doped with zirconium and praseodymium in a micro-fluidic device, designed and operated to control the size of the nanoparticles. The selected synthesis technique [20] is based on the preparation of an aqueous solution of metal precursors together with a concentrated sodium hydroxide solution (pH 13), which are fed to a mixing chamber, where they react leading to the precipitation of the nanoparticles. This synthesis technique is characterized by simple operations, it involves low-cost reagents and, instead of the conventional solution combustion synthesis technique [19] (which is carried out at 650 °C), is an ambient temperature precipitation. Moreover, this synthesis route is extremely useful in the perspective of continuous ceria-based particle production, with the specific purpose of controlling the particle diameter and obtaining reproducible results in terms of particle size distribution.

Micro-mixers with characteristic sizes from hundreds of micrometers to few millimeters are very appealing given the turbulent flow originated by flow instabilities, and the consequent turbulent mixing, that occur under particular operating conditions [21]. Relevant cases of such devices are the T-Mixer [20, 22], the Multi-Inlet Vortex Mixer (MIVM) [23, 24] and the confined impinging jets reactor (CIJR) [25]. These categories of mixers differ by the size of the mixing chamber, the number of inlets, the position of the inlets (axially aligned or unaligned) and the size of the outlet channels with respect to the inlet ones. In our research activity, a Vortex-shaped micro-mixer, called multi-inlet vortex reactor (MIVR), was employed to synthesize ceria-based catalytic nanoparticles with the possibility to tune the particle sizes according to the fluid-dynamics inside the reactor. More specifically, the predictions of spatial distributions of reactant concentrations, obtained through the fluid-dynamic computation of the micro-mixer internal flow field, indicated the mixing effectiveness of the reactants at the operating conditions selected for the syntheses [26].

The sensitivity of the primary nanoparticles to the synthesis operating conditions was investigated, as well as the effect that such particle distribution exerts on the catalytic activity towards CO and soot oxidation. Indeed, the complex interplay between the catalyst composition (ceria with Zr and Pr doping), primary particle distribution (with its effect on the specific surface area) and overall aggregate morphology (affecting the soot-catalyst contact) and the catalytic reaction (CO and soot oxidation) was tackled in the attempt to discriminate the dominant factors that concur to the overall catalytic activity.

Methods

Preparation of Samples

The customized geometry of the investigated MIVR designed for ceria-based catalysts production (Fig. 1a) is characterized by four tangential circular inlets, each one with an internal diameter of 1 mm, and a reaction chamber of 4 mm in diameter and 1 mm in height. The product is discharged in a 2 mm diameter channel, perpendicular to radial inlets. The four inlets were connected to four 20 ml syringes, and driven by a KD Scientific KDS220 infusion syringe pump. The syringes were filled in pairs with the two reactant solutions: a solution of metal precursors (Ce(NO3)3 · 6H2O, ZrO(NO3)2 · xH2O and Pr(NO3)3 · 6H2O all from Sigma-Aldrich) with a total metal concentration equal to 0.1 M, and solution of sodium hydroxide in water also 0.1 M (leading to a pH equal to 13). The solutions were fed to the four channels (Fig. 1b) alternating the metal precursors solution and the NaOH one, to maximize the mixing efficiency.
Fig. 1

Schematization of the MIVR (a half-reactor view and b top view)

Pure ceria (denoted as Ce100), ceria-zirconia (denoted as Ce80Zr20; Zr atomic percentage = 20 %), ceria-praseodymia (denoted as Ce80Pr20; Pr atomic percentage = 20 %) and ceria-zirconia-praseodymia (denoted as Ce80Zr10Pr10; Pr, Zr atomic percentage = 10 %) were synthesized. When Ce100 was produced, the solution containing the metal precursor was 0.1 M in Ce(NO3)3 · 6H2O; on the other hand, when other metals were present, the concentration of 0.1 M was referred to all metals, being in molar ratios of the precursors the same as denoted in the final sample CexZryPrz.

The two solutions were fed with two inlet flow rates: 2 and 20 ml min−1 in each of the four inlet channels (D = 1 mm). This leads to a Reynolds number in the chamber Rec of 832 and 8320, respectively (D c  = 4 mm in this case). These two inlet flow conditions correspond, according to the computation of the MIVR fluid dynamics [26], to a laminar flow inside the reactor for 2 ml min−1 whereas a turbulent one for 20 ml min−1, with unsteady fluctuations of the flow. This flow regime difference has an impact on the primary particle distribution of the precipitated nanoparticles, whose mean diameter was estimated a posteriori through field emission scanning electron microscopy.

The outlet solution, which contains the nanoparticles, was collected in a beaker and maintained in agitation until the infusion was complete and the suspension was ready to be centrifuged (4000 rpm for 1 h). Afterwards, the resulting deposit was separated from the solution, washed with distilled water, and re-centrifuged. Finally, the solid was placed in a quartz filter (0.45 μm), under which a vacuum pump eliminated the residual aqueous solution permeating the powder. The collected solid was then calcined in an oven at 650 °C for 2 h, in air.

Characterization of Samples

Powder X-ray diffractograms (XRD) of the samples were recorded using a X’Pert Philips PW3040 diffractometer with Cu Kα radiation, 2θ range of 20°–70° (angle step size at 0.02°) and a time per step of 0.2 s. International Centre of Diffraction Data (ICDD) was used for peak identification. The Scherrer’s equation (namely, D = 0.9λ/bcosθ) was used to estimate the crystallite size of the samples, where λ is the wavelength of the Cu Kα radiation, b is full width at half maximum in radians, 0.9 is the shape factor for spheres, and θ is the diffraction peak angle. Specifically, the powder XRD analysis was carried out with an internal standard (highly crystallized CeO2 obtained at 900 °C for 24 h) and each measurement was done by considering three main peaks. Then, the mean and deviation standard values of crystallite size have been calculated.

N2 physisorption at −196 °C was performed to study the textural properties of the catalysts, such as the specific surface area and total pore volume (Micrometrics ASAP 2020 instrument). Removal of water and contaminants from the samples was done prior to analyses by heating the samples at 200 °C for 2 h. BET method was applied to calculate the specific surface area.

Field emission scanning electron microscopy (FESEM) has been performed with a ZEISS Auriga crossbeam, equipped with an OXFORD X-act Energy dispersive X-ray detector. Size distribution of the primary particles, i.e., the ones originated by single nuclei which then grow by solute diffusion from the solution to the particle surface, was derived for all samples from several representative FESEM images. In particular, FESEM imagery was used to measure the primary particle average diameter; around a hundred measurements were performed for each catalyst sample, thus reaching a representative evaluation of the primary particle overall distribution. Conversely, aggregate sizes were not measured (i.e., through light scattering techniques) since their size and structure cannot be controlled due to the aggregation phenomena and particle sedimentation occurring in the beaker that collects the suspension at the reactor outlet.

Transmission electron microscopy (TEM) has been performed with a FEI Tecnai F20ST, operating at 200 KV both in TEM and HRTEM modes, equipped with an EDAX Energy dispersive X-ray detector.

Raman measurements were performed using a Renishaw InVia Reflex micro-Raman spectrometer with laser excitations at 457.9 and 785 nm in backscattering light collection. The Ov/F2g value, representative of the oxygen vacancies density, was calculated as the ratio between the integrated areas of the Ov and F2g Raman peaks obtained by averaging the spectra recorded on five different points of the sample. The regions for the integration were selected depending on the Raman shift of the peaks for each catalyst composition and excitation wavelength. The calculation for Ce80Zr10Pr10 at 785 nm is reported as an example:
$$ \frac{O_v}{F_{2\mathit{\mathsf{g}}}}=\frac{area\;{O}_v\left(505-660\;c{m}^{-1}\right)}{area\;{F}_{2\mathit{\mathsf{g}}}\left(320-505\;c{m}^{-1}\right)}=\frac{8.79}{39.35}=0.22 $$

Catalytic Tests

CO oxidation reaction was carried out in a fixed-bed quartz reactor (U-type tube, 4 mm inner diameter) heated by a furnace. In a typical test, 0.1 g of powdered sample was inserted in the reactor. The temperature of reactor bed was detected by a K-type thermocouple, placed as close as possible to the bed. The test started by continuously flowing 50 ml min−1 gas containing 1000 ppm of CO and 50 %-vol air in N2 into the reactor. Meanwhile, the furnace heated up at a rate of 5 °C min−1 until complete CO conversion was reached. Non-dispersive infrared analyzers were used to record COx concentrations at the reactor outlet.

Soot oxidation tests were conducted in the same fixed-bed Quartz reactor. In a typical run, a reactor bed contained 5 mg of soot (Printex-U), 45 mg of powdered sample and 150 mg of silica. The bed was prepared by ball-milling the solid mixture at 250 rpm for 10 min to eventually attain “tight contact”. The test started by flowing 100 mL min−1 gas comprising of 50 %-vol of air and 50 %-vol of N2 to the reactor. The reaction temperature increased from 100 to 700 °C with 5 °C min−1 heating rate. The gaseous mixtures were analyzed via CO/CO2 NDIR analyzers (ABB). Temperatures corresponding to 10, 50, and 90 % conversion of either CO or soot (denoted as T10, T50, and T90 %, respectively) were taken as indices of the catalytic activity.

Results and Discussion

Textural and Structural Properties of the Catalysts

Figure 2 shows the XRD diffractograms of the prepared catalysts. The latter exhibit similar XRD patterns referring to cubic fluorite structure, marked by the presence of (111), (200), (220), (311), (222), and (400) planes [26]. No additional peaks due to the presence of either ZrO2 or PrO2 phases can be detected, thus confirming a good incorporation of the dopants into the CeO2 lattice for both binary and ternary oxides. Estimation through the Scherrer’s equation, using the (111) peak as reference, shows that catalysts prepared with inlet flow rates of 2 ml min−1 have bigger crystal sizes than their counterpart obtained at 20 ml min−1 (Table 1). A similar trend appears for the particle sizes estimated through the FESEM analysis. More precisely, the primary particles in the synthesis condition at 20 ml min−1 have an average diameter very close to the one of the crystallite. Moreover, the size distribution of the primary particles is very narrow; therefore, this occurrence applies to the majority of the primary particles. On the other hand, the primary particles at 2 ml min−1 differ from the crystallites in term of sizes, especially for the doped samples. It is possible that, in the latter case, the higher residence time in the reactor entail the coalescence of few crystallites to form a primary particle.
Fig. 2

XRD patterns of the samples prepared at 2 ml min−1 (top) and 20 ml min−1 (bottom)

Table 1

Specific surface areas, crystallite sizes, and primary particle sizes of the prepared catalysts

Sample

MIVR single channel inlet flow rate = 2 ml min−1

MIVR single channel inlet flow rate = 20 ml min−1

SSAa (m2g−1)

Db (nm)

dP c (nm)

SSAa (m2g−1)

Db (nm)

dP c (nm)

CeO2

36

16.3 ± 0.4

17.9

43

14.5 ± 0.5

9.8

C80Zr20

55

8.7 ± 0.8

17.1

63

9.2 ± 0.3

8.1

Ce80Pr20

49

9.5 ± 0.6

16.4

61

10.4 ± 0.8

7.3

Ce80Zr10Pr10

37

10.2 ± 0.7

17.2

77

7.6 ± 0.5

8.1

aSpecific surface areas calculated by the BET method

bCrystallite sizes measured via Scherrer’s equation

cPrimary particle sizes estimated by FESEM analysis

This finding is in agreement with the fact that lower residence times into the MVIR favor the formation of smaller particle sizes. The BET surface area, derived from N2 physisorption measurements at −196 °C are also reported in Table 1: the samples synthesized with inlet flow rates of 2 ml min−1 have lower surface areas than the counterpart obtained at higher flow rates. Moreover, the presence of the dopants into the ceria increases the specific surface area values for both synthesis conditions. The dependence of the specific surface area on inverse average crystal size is reported in Fig. 3. Since a quasi-linear correlation occurs, then the crystal shape of the catalysts can be considered approximately spherical (“unstructured” materials) [27].
Fig. 3

Correlation between the BET specific surface area and the inverse average crystallite size derived by the Scherrer formula

Electron microscopy analysis was used to find out the morphological properties of the catalysts. As shown in Fig. 4, the samples exhibit agglomerates of primary particles with dimensions of ca. 10–20 nm. In order to compare the particle size distributions of the catalysts obtained with the MVIR using two inlet flow rates, a detailed analysis of the micrographies has been performed. Figure 5 shows the results of the granulometric analysis carried out by FESEM analysis: it was found that the dimension of the primary particles was considerably reduced by increasing the inlet flow rate. In fact, faster mixing induces higher super-saturation locally in the region where the inlets collide, which in turn increases the nucleation rate of the primary particles. High nucleation rates increase the number of primary particles being formed, which are the nuclei over which the metal precursors diffuse and concur to particle growth. This leads to comparatively smaller primary particles than in conventional precipitation processes, because of the high number of involved nuclei [20, 25]. Hence, small primary particles indicate a higher degree of mixing at all scales (including the molecular level which is the most difficult to achieve especially in liquid systems), as verified in [28] with equivalent geometry.
Fig. 4

FESEM images of the prepared catalysts

Fig. 5

Size distributions of the primary particles derived by FESEM analysis

The simulation of the fluid-dynamic regime computed in terms of mixture fraction of the reactants at the macro-scale, revealed that 2 ml min−1 entails a heterogeneous concentration distribution in the volume of the mixing chamber [28]. On the other hand, the macro-mixing is very effective at 20 ml min−1, thus reaching a flat profile of mean mixture fraction close to the mixing chamber exit in both conditions. At the micro-scale, i.e., the molecular level mixing, the turbulence intensity at 20 ml min−1 provides extremely low segregation [28], which fosters super-saturation and thus nucleation phenomena.

It is worth mentioning that, contrary to primary particle size (strictly depending on the syntheses conditions in the MIVR), there is no direct correlation between the final aggregate size and the flow conditions in the reactor was attempted, since the aggregation phenomena occur prevalently in the beaker receiving the solution and in the subsequent centrifuging and filtering steps. In this regard, HR-TEM measurements were performed in order to better observe the primary particles nature as well as to clarify the way the single primary particles aggregate. TEM was also used to estimate the crystal size of the particles in the different systems. The results are reported in Fig. 6. From TEM images, it is put in evidence for the CeO2 samples containing Zr and/or Pr ion metals, the extreme tendency of the single crystals to aggregate in big clusters (around hundreds of nanometers—see left images of Fig. 6). HRTEM evidences the good crystallinity of the different catalysts; in particular, for each sample, a single crystal has been indexed (Fig. 6, right). Electron diffraction confirms what found with XRD, showing fully crystalline and randomly oriented samples.
Fig. 6

HR-TEM images of the prepared catalysts (a 2 ml min−1 and b 20 ml min−1): low and high magnification images (right and center) and electron diffraction (right)

Finally, energy dispersive spectroscopy (EDS) have been performed to estimate the stoichiometry of the different samples. EDS microanalysis from FESEM was performed in different regions of each sample (five spots), resulting on an average atomic composition of the catalysts. Although EDS is a semi-quantitative analysis, it provides a bulk information, which is useful in this case. It emerges that the change in the inlet flow rate, and consequently the different mixing process of the reagents, has an important role in determining the final composition of the particles. The results, referred to spot regions 20 μm wide, are gathered in Table 2 and confirm that the real amounts of dopants are close the ones expected nominally, especially for the ceria-zirconia samples. Also the ternary oxides report a satisfactory Zr and Pr incorporation, although at 2 ml min−1 the former is below the nominal value of 10 %, and the latter is above it. The only exception is the sample Ce80Pr20 at 20 ml min−1, which is much richer in Pr than expected, suggesting that probably Pr oxide precipitation occurs faster cerias, and so higher supersaturation occurring at 20 ml min−1 hinders Pr incorporation in CeO2 lattice, promoting instead the pure oxide formation.
Table 2

Ce, Zr, and Pr atomic percentages estimated by EDS

Sample

MIVR single channel inlet flow rate = 2 ml min−1

MIVR single channel inlet flow rate = 20 ml min−1

Ce (%)

Zr (%)

Pr (%)

Ce (%)

Zr (%)

Pr (%)

CeO2

100

100

C80Zr20

81

19

-

82

18

Ce80Pr20

79

21

63

37

Ce80Zr10Pr10

81

5

14

83

7

10

Micro-analyses from HR-TEM images were also performed, and reported in Fig. 6 (Cu and C refer to the lacey carbon coated copper grid; Co and Fe to the magnets). The results essentially confirm the ones of the EDS reported in Table 2, but are referred to a much smaller spot (around 50 × 50 nm), thus confirming a rather satisfactory composition homogeneity.

Overall, these results prove that the fast precipitation occurring in MIVR is able to incorporate dopants such as Zr and Pr, up to the amounts investigated in this paper, and that micro-scale turbulence intensity has to be tuned to attain the proper doping amounts (Fig. 7).
Fig. 7

EDS micro-analysis of the prepared catalysts with HR-TEM (Cu and C refer to the lacey carbon coated copper grid; Co and Fe to the magnets)

Structural Defects of the Catalysts

Raman spectra of the samples were collected in order to check the presence of oxygen vacancies and the relative concentration, which was shown to be correlated to the catalytic activity [29]. The measurements performed with a 785- and 457.9-nm laser excitation are reported in Fig. 8 for the different materials synthesized at 2 and 20 ml min−1 inlet flow rates. The higher energy laser is expected to provide a higher surface sensitivity, due to the lower penetration depth into the sample, while the lower energy excitation line carries overall information concerning also the inner volume of the particles. The spectral region between 200 and 800 cm−1 is dominated by an intense band, assigned to the Ce-O8 crystal unit vibration (F2g mode of the fluorite lattice) [30]. For pure CeO2 and Ce80Zr20, such band is centered around 465 cm−1, while a red-shift towards 453 cm−1 is observed for Pr-containing compounds. Several lower intensity bands are detected on both sides of the main peak. In particular, two peaks can be resolved at higher Raman shifts, around 580 and 601 cm−1 for CeO2 and Ce80Zr20, at 785 nm, which are usually observed as a single convoluted band for more energetic excitation wavelengths [27, 29]. These peaks arise from Frenkel type anion defects, in which an oxygen ion occupies an interstitial position, leaving a vacancy at its original lattice site [31]. A single broad band centered around 567 cm−1 is observed for Pr-doped ceria, which was previously suggested to be the convolution of three contributions due to Pr-induced (~545 and ~570 cm−1) and intrinsic oxygen vacancies (~595 cm−1) [32].
Fig. 8

Raman spectra of the catalysts acquired at 785 nm (left) and 457.9 nm (right) excitations for samples prepared at 2 ml min−1 (top) and 20 ml min−1 (bottom) inlet flow rates

The concentration of vacancies can be evaluated through the ratio between the area of the defect-induced and the F2g bands, Ov/F2g [29]. The calculated values are reported in Table 3 for the two excitation wavelengths. The trends are similar and the defect density increases in the following order:
Table 3

Ov/F2g vibrational bands ratios calculated from the Raman spectra

Sample

MIVR single channel inlet flow rate = 2 ml min−1

MIVR single channel inlet flow rate = 20 ml min−1

457.9 nm

785 nm

457.9 nm

785 nm

CeO2

0.25

0.29

0.11

0.16

C80Zr20

0.31

0.29

0.37

0.14

Ce80Pr20

1.09

0.33

1.05

0.83

Ce80Zr10Pr10

1.23

0.40

0.79

0.22

$$ \mathrm{C}\mathrm{e}{\mathrm{O}}_2 < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{20} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{10}\mathrm{P}{\mathrm{r}}_{10} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{P}{\mathrm{r}}_{20} $$

A higher oxygen vacancies concentration is therefore attained by the addition of dopant elements. Interestingly, because of the small size of the nanoparticles, it is difficult to observe differences in the Raman spectra at the two excitation wavelengths in case of CeO2 and Ce80-Zr20, while for the Pr containing catalyst a boost of the defect band, and thus of the Ov/F2g value, occurs upon excitation at 457.9 nm. The effect is due to the relevant absorption of Pr-doped ceria in the visible range, which limits both the penetration depth of the incident radiation and as a consequence the collected scattering signal to the most superficial layer of the sample, suggesting that the oxygen vacancies and therefore the dopant concentration are higher at the surface [33].

Catalytic Activity Tests

The catalytic behavior towards CO oxidation was studied in the 100–500 °C temperature range. Figure 9 summarizes the CO conversion values (%) as a function of the temperature for the catalysts synthesized with flow rates of 2 ml min−1 (section a) and 20 ml min−1 (section b), respectively. As a whole, all the catalysts improve greatly the CO conversion, whereas only ca. 40 % of CO converts naturally to CO2 at 500 °C (uncatalized reaction). Among the set of catalysts synthesized with inlet flow rates of 2 ml min−1, the Ce80Zr20 sample outperforms the other oxides, exhibiting comparable performances (Table 4). The high activity for this catalyst is the result of the best compromise among the structural defects, redox-active centres (Ce3+/Ce4+ pairs) and small particle size [6, 34]. On the other hand, for the catalysts obtained at higher inlet flow rates, the following increasing order of activity (in terms of T10% and T50%) can be drawn:
Fig. 9

CO to CO2 conversion versus temperature over the fresh catalysts (sections a and b). Soot conversion and CO2 concentration profiles (sections c and d) over the same catalysts, under “tight” contact

Table 4

CO oxidation activity results over the fresh catalysts

Sample

MIVR single channel inlet flow rate = 2 ml min−1

MIVR single channel inlet flow rate = 20 ml min−1

T10%

T50%

T90%

T10%

T50%

T90%

CeO2

288

342

391

305

359

417

Ce80Zr20

253

303

360

286

347

467

Ce80Pr20

295

346

410

258

301

344

Ce80Zr10Pr10

295

334

387

278

324

397

$$ \mathrm{C}\mathrm{e}{\mathrm{O}}_2 < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{20} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{10}\mathrm{P}{\mathrm{r}}_{10} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{P}{\mathrm{r}}_{20} $$
(Table 4 reports the T10%, T50%, and T90% values). In the present case, the catalysts exhibit similar crystal sizes (in the 7.6–10.4 nm range), except for the CeO2 (=14.5 nm), and then it is possible to observe a direct correlation between the Ov/F2g intensity ratios (Raman spectra recorded by exciting at 457.9 nm) and the catalytic performance for the CO oxidation (Fig. 10). This means that structural (superficial) defects play a key role for the CO oxidation reaction, despite the small crystal size may have a beneficial effect on the oxidation activity. At higher conversions (T90%), indeed, mass-transport phenomena play a major role, thus masking the effective kinetic effects.
Fig. 10

Correlation between the Ov/F2g intensity ratios of the catalysts (Vortex = 20 ml min−1) and their catalytic performance for the CO oxidation (in terms of T10% and T50% values). The Ov/F2g intensity ratios have been obtained using the Raman spectra recorded by exciting at 457.9 nm

The soot oxidation activity has been examined in the 200–650 °C temperature range. Figure 9 (sections c and d) shows the soot conversion values (%) as a function of the temperature achieved for the catalysts (in “tight” soot-catalyst contact) along with Printex-U (no catalyst). For the set of catalysts obtained at low inlet flow rate, the increasing order of soot oxidation activity is:
$$ \mathrm{C}{\mathrm{e}}_{80}\mathrm{P}{\mathrm{r}}_{20} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{10}\mathrm{P}{\mathrm{r}}_{10} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{20} \approx \mathrm{C}\mathrm{e}{\mathrm{O}}_2 $$
whereas for the counterpart (MIVR inlet flow rates = 20 ml min−1), the increasing activity order is:
$$ \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{10}\mathrm{P}{\mathrm{r}}_{10} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{P}{\mathrm{r}}_{20} < \mathrm{C}{\mathrm{e}}_{80}\mathrm{Z}{\mathrm{r}}_{20} < \mathrm{C}\mathrm{e}{\mathrm{O}}_2 $$
Table 5 summarizes the T10%, T50% and T90% values.
Table 5

Soot oxidation activity results over the fresh catalysts

Sample

MIVR single channel inlet flow rate = 2 ml min−1

MIVR single channel inlet flow rate = 20 ml min−1

T10%

T50%

T90%

T10%

T50%

T90%

CeO2

360

409

440

367

405

422

Ce80Zr20

350

433

561

381

416

443

Ce80Pr20

412

478

527

374

443

492

Ce80Zr10Pr10

395

454

495

405

465

506

As expected, the CO2 concentration (%) profiles reflect the same activity orders for the prepared catalysts. These results confirm that dopants like Zr and Pr species do not promote the soot oxidation reaction over these “unstructured” ceria-based catalysts, at variance of the nanostructured catalysts (e.g., Ce–Zr–O nanopolyhedra, Ce–Pr–O nanocubes) described in our previous studies [12, 16, 35, 36]. The incorporation of Zr and Pr species, indeed, increases the presence of structural defects (see Table 3) but decreases the surface redox centers, which are directly dependent on the Ce3+ - Ce4+ surface density [16]. Indeed, both the CeO2 catalysts resulted the most active soot oxidation catalysts among those synthesized with the MVIR technique.

As a whole, defect sites and oxygen vacancies are among the most desirable active sites for oxidation catalysts, since they modify the Fermi Energy level thus favoring oxidation reactions [16]. However, in the present case, the structural defects do not have a beneficial role on the soot oxidation reaction; it should be pointed out that the feasibility of the soot combustion mechanism depends to a great extent on the interaction between the soot particles and the catalyst surface [35, 37].

Conclusions

In the present work, we investigated a set of ceria-based catalysts (namely, Ce–Zr–Pr oxides, Ce–Zr oxides, Ce–Pr oxides and pure CeO2) prepared by the multi-inlet vortex reactor (MIVR).

As a whole, when the catalysts exhibit comparable crystallite sizes, a direct correlation between the Ov/F2g vibrational band intensity ratios (Raman spectra recorded by exciting at 457.9 nm, more sensitive to the nanoparticles surface) and the catalytic performance for the CO oxidation (in terms of T10% and T50%) occurs. This confirms that the structural (superficial) defects on solid surfaces, as measured by the Raman spectroscopy, play a key role for the CO oxidation in the 150–500 °C temperature range. Specifically, the higher the concentration of oxygen vacancies the higher the surface reactivity. Moreover, it has been observed that smaller particles promote the CO oxidation. The incorporation of Zr and Pr dopants in the ceria lattice increases the amount of surface defects and then the reactivity for the CO oxidation, in the order CeO2 < Ce80Zr20 < Ce80Zr10Pr10 < Ce80Pr20. On the other hand, the presence of zirconium and praseodymium into the ceria does not have a direct beneficial role on the soot oxidation for these “unstructured” materials, at variance of the nanostructured ones (e.g., Ce–Zr–O nanopolyhedra, Ce-Pr-O nanocubes), previously investigated by our research group. In the present case, the most active catalysts resulted to be pure ceria synthesized at either 2 ml min−1 or 20 ml min−1. Thus, the oxygen vacancies do not exhibit a direct beneficial effect on the soot oxidation reaction for these ceria-based materials, thus showing a different catalytic behavior for the two oxidation reactions.

Declarations

Acknowledgements

The Ministero dell’Università e della Ricerca (MIUR) (grant number: RBFR12LS6M 001) is acknowledged for sponsoring this research activity (FIRB - Futuro in Ricerca 2012). This work was also co-funded through a SINCHEM Grant. SINCHEM is a Joint Doctorate programme selected under the Erasmus Mundus Action 1 Programme (FPA 2013–0037).

Authors' contributions

MP and SB synthesized and characterized the reported materials. They also contributed to the interpretation of the results and coordinated the scientific work. AC performed the TEM images. CN and FG recorded micro-Raman spectra and contributed to the interpretation of the results. NR and DF supervised the work and approved the final version of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Department of Applied Science and Technology, Politecnico di Torino
(2)
Center for Sustainable Futures - CSF@POLITO, Istituto Italiano di Tecnologia

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Copyright

© The Author(s). 2016

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