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A new method for synthesizing ordered microporous carbons with tunable pore size and their application in pollutant removal

Pan Ni ab, Xiaoqing He cd, Feng Xiao *ab and Baolin Deng *ab
aDepartment of Civil & Environmental Engineering, University of Missouri, Columbia, MO 65211, USA. E-mail: feng.xiao@missouri.edu; dengb@missouri.edu
bMissouri Water Center, University of Missouri, Columbia, MO 65211, USA
cElectron Microscopy Core Facility, University of Missouri, Columbia, MO 65211, USA
dDepartment of Mechanical & Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA

Received 9th December 2024 , Accepted 21st July 2025

First published on 25th July 2025


Abstract

Two ordered microporous carbons (0.83 nm and 1.55 nm) were synthesized for the first time via a modified silica template method, enabling the adjustment of the carbon microporous structure, which is a limitation of the conventional zeolite template method. Dye adsorption showed that its removal rate increased with decreasing pore size.



Environmental significance

Water pollution is one of the current emerging crises we human beings are facing. Adsorbents such as granular activated carbon (GAC) are often used to remove pollutants. However, the selectivity of these adsorbents toward pollutants such as dyes is not satisfactory, especially in the presence of abundant competing species. Elimelech et al. proposed subnanometer pores as the core to enhance the selectivity of single species.53 However, achieving such pores in carbon adsorbents is extremely difficult. Our current work overcomes this barrier and makes it possible to study the pore size effect of five different OMCs with the same p6mm structure but varying pore sizes from 0.83 nm to 5.3 nm. Our dye sorption test confirmed the hypothesis that subnanometer pores can significantly enhance the selectivity of the target pollutant in the presence of competing species. The results of this work may shed light on next-generation GAC development.

Since ordered microporous/mesoporous carbons (OMCs) were invented in 1997–2001;1–4 their unique properties, including ordered open pore structure, high pore volume, high specific surface area, uniform pore size distributions, high conductivity, and high chemical stability, have attracted much attention from many researchers. New applications of these OMCs constantly emerge in the fields of water purification, enzyme immobilization, gas storage and separation, catalysis, supercapacitors, batteries, and fuel cells.5,6

Currently, the only reported method for synthesizing microporous OMCs is based on the Kyotani group's work using zeolites as templates such as zeolite Y, β, L, ZSM-5, and mordenite.4,7–9 However, due to the wall thickness of less than 1 nm for zeolites, the pore size of the synthesized ordered carbon structure is limited to ≤1 nm because these reported microporous OMCs are the reverse replicas of their respective zeolite templates.6,8 For potential applications in gas separation or water remediation where the target species may require a slightly larger micropore, for example, in the range of 1–2 nm,6,10,11 the zeolite template method would not result in OMCs with a suitable porous structure.

In the pioneering studies using self-assembly of silica species and surfactants to synthesize mesoporous silica like MCM-41 and SBA-15, it was suggested that MCM-41 or SBA-15 with variable pore diameters could be synthesized by changing solution chemistry and the chain length of the utilized surfactants.12–14 The feasibility of this feasibility was soon confirmed, and MCM-41 with a 2–10 nm pore size (ref. 13) and SBA-15 with a 5–30 nm pore size were successfully synthesized.14 Based on these ordered mesoporous silica templates, the Ryoo and Jun group synthesized the world's first ordered mesoporous carbons (OMCs).1–3 However, the pore size of the OMCs based on these ordered porous silica templates was never reported to be less than 2 nm. This is understandable because these silica templates had wall thicknesses ranging from 3.1 to 6.4 nm,14 and the removal of the silica template would form ordered mesoporous OMCs with comparable pore sizes.

So far, quite a few studies have focused on the pore size adjustment of OMCs.14–20 The key factors determining the pore size of these carbons include the carbon chain length of the surfactants (e.g., EO5PO70EO5, EO13PO70EO13, and EO20PO70EO20),14,15 the types of surfactants and their mixture ratios (e.g., P-123, F127, and CTAB),15–17 the hydrothermal treatment temperature (35–100 °C in general),14 the hydrothermal treatment time (e.g., 12–168 h),18 the types of templates and related modifications (e.g., SBA-15, SBA-16, zeolite, MCM-41, and MCM-48),1,10,11,19–22 the carbon precursors (e.g., sucrose, furfuryl alcohol, acenaphthene, and acetonitrile),18,23,24 carbonization methods (e.g., pyrolysis heating or chemical vapor deposition)16,17,20–22 and pyrolysis temperature (e.g., 700–1100 °C).25 The details are summarized in Table 1. Despite these efforts a method for adjusting pore size with a wide pore range of both micropores and mesopores while retaining the same carbon structure has not yet been reported.

Table 1 Comparison of the current OMC synthesis methods and pore size adjustment conditions
Template synthesis OMC synthesis Ref.
Surfactant Template precursor T (°C) Reaction time (h)a Template Carbon precursor Reaction time Pore size (nm) Struct.
a The reaction time does not include the time of precursor dissolution, which is 20 h in this work. Additionally, the incineration time of the synthesized template to remove organic matter is not included to simplify the table. b The pore size is predicted from the silica wall thickness of the template since the structure of OMCs is the reverse replica of the silica template.
EO5PO70EO5 TEOS 35 11–72 SBA-15 N/A N/A 3.5b N/A 14 and 15
EO13PO70EO13 60 3.4b
EO20PO70EO20 35 6.4b
EO20PO70EO20 80 5.3b
EO20PO70EO20 90 3.6b
EO20PO70EO20 100 3.1b
N/A N/A N/A N/A Y-zeolite SBA-15 Poly(acrylonitrile) for microporous OMCs 6 h at 100 °C 1.0 Fd3m 10 and 11
P-123 or EO20PO70EO20 Sodium silicate 100 12 Sucrose 6 h at 160 °C 3.8 p6mm
6 h at 900 °C under vacuum
HTAB[thin space (1/6-em)]:[thin space (1/6-em)]C16EO8 = 3[thin space (1/6-em)]:[thin space (1/6-em)]0 Sodium silicate 100 12 SBA-15 Sucrose 6 h at 100 °C 2.2 p6mm for all 16 and 17
HTAB[thin space (1/6-em)]:[thin space (1/6-em)]C16EO8 = 2[thin space (1/6-em)]:[thin space (1/6-em)]1 6 h at 160 °C 2.7
HTAB[thin space (1/6-em)]:[thin space (1/6-em)]C16EO8 = 1[thin space (1/6-em)]:[thin space (1/6-em)]2 6 h at 900 °C under vacuum 2.9
HTAB[thin space (1/6-em)]:[thin space (1/6-em)]C16EO8 = 0[thin space (1/6-em)]:[thin space (1/6-em)]3 3.3
Cetyltrimethylammonium bromide (CTAB) TEOS 80 2 MCM-41 Sucrose 6 h at 100 °C 4.0 p6mm 19
6 h at 160 °C
NA at 900 °C under N2
P-123 Sodium silicate or TEOS 100 24 KIT-6 Sucrose furfuryl alcohol 6 h at 100 °C 3.0 Ia3d for all 23 and 24
6 h at 160 °C 5.5
6 h at 900 °C under vacuum
P-123[thin space (1/6-em)]:[thin space (1/6-em)]F127 = 1[thin space (1/6-em)]:[thin space (1/6-em)]2.3 TEOS 100 12 SBA-16 Furfuryl alcohol 1 h at 100 °C 3.9 Im3m for all 18
24 Acenaphthene 2 h at 350 °C 4.7
72 NA at 900 °C under vacuum 5.76
168 6.29
C16H33N(CH3)3Br C12H25O(C2H4O)4H or CTAB TEOS 100 24 MCM-48 Sucrose NA at 800–1100 °C under vacuum 3.0 Ia3d 1
P-123 TEOS 90 24 SBA-15 Sucrose 6 h at 100 °C 3.86 p6mm for all 25
6 h at 160 °C 4.89
6 h at 700 °C 4.40
900 °C, 1100 °C under N2
P-123 TEOS 40 24 SBA-15 Sucrose 6 h at 100 °C 5.33 p6mm for all This work
80 6 h at 160 °C 4.23
100 6 h at 890 °C under N2 2.98
120 1.55
140 0.83


Inspired by previous studies by others,1–3,12–14 herein, we report a new approach via a revised silica template method to tune the porous structure of OMCs in a wide pore size range from 0.83 nm to 5.33 nm without changing the carbon structure, overlapping both microporous and mesoporous domains. This approach overcomes the shortcomings of the limited pore size range of microporous OMCs obtained via the zeolite method (≤1 nm), making it possible to customize different micropore sizes of OMCs for any desired applications. As far as we know, other methods that enable pore size adjustment to cover both microporous and mesoporous carbon media have to compromise and change the carbon structure10,26,27 (see Table 1).

These microporous and mesoporous OMCs were synthesized using SBA-15 with varying silica wall thicknesses as a template. Specifically, 8 grams of Pluronic P-123 (white gel, MW ∼5800) was added into 300 mL of 2 M HCl solution and stirred for 10 h at 40 °C for its complete dissolution. Subsequently, 16.64 grams of tetraethyl orthosilicate (TEOS) was added into the solution and stirred for 20 hours at 40 °C. The resultant milky solution was placed in a 500 mL Teflon-sealed autoclave and heated in an oven at 80, 100, 120, and 140 °C for 24 h. For the synthesis of the largest mesopore OMC, the milky solution did not need to be transferred to the Teflon-sealed autoclave because the required heating temperature was relatively low, at 40 °C. We found that the key factor controlling the wall thickness of the silica template (or the pore size of the OMCs) was the temperature in this step. The mechanism was related to the temperature-dependent hydrophobicity of the poly(propylene glycol) units of the amphiphilic block copolymers (Pluronic P-123).14 A higher temperature would enable the expansion of the hydrophobic unit (orange coloured area in Fig. 1), while compacting the hydrophilic unit (blue or light blue area in Fig. 1) of Pluronic P-123, leading to the larger pore size and thinner wall thickness of the silica templates. After cooling, the snow-white slurry was filtered without washing. The collected product was heated to 500 °C in air at a ramping rate of 1 °C min−1 and kept at this temperature for 6 h to remove the organic template P123. Based on the different temperatures applied in the hydrothermal treatment step, the obtained SBA-15 silica templates used for the synthesis of the two microporous OMCs were named SBA-15-120 and SBA-15-140, respectively, while the silica templates used for the synthesis of the three mesopore OMCs were named SBA-15-40, SBA-15-80, and SBA-15-100, respectively.


image file: d4va00414k-f1.tif
Fig. 1 A schematic illustration of the temperature-controlled method for synthesizing OMCs with micropore and mesopore sizes. The temperature error of the oven is ±1 °C.

In the OMC synthesis step, except for the difference in the silica templates, all other protocols were the same. Specifically, 4.93 grams of SBA-15 was mixed with 24.7 mL of aqueous solution containing 6.16 grams of sucrose (≥99.5%) and 0.69 grams of H2SO4 (95.0–98.0%). The resulting white slurry was well stirred for 30 minutes and then placed in the oven for 6 h at 100 °C, followed by 160 °C for 6 h. The treated samples turned black. To obtain fully carbonized sucrose inside the pores of the silica template SBA-15, 3.94 grams of sucrose, 0.44 grams of H2SO4 and 24.7 mL deionized water were added to the samples again and the same heating cycle (100 °C for 6 h and 160 °C for 6 h) was applied as described above. The composite was pyrolyzed in a nitrogen flow (120 mL min−1) inside an MTI GSL 1600X tube furnace with a ramping rate of 5 °C min−1 to 890 °C and treated at this temperature for 6 h to further carbonize the loaded carbon precursor within the silica templates. Thereafter, the obtained product was stirred in 100 mL of 4 M NaOH for 4 h to completely dissolve the silica template. Then, it was filtered and washed with deionized water until the pH of the rinsed water was in the range of 7.2–7.8. The collected OMCs were dried at 120 °C in the oven for 4 h and were then ground into powders, sealed, and stored in 20 mL glass vials before usage. The specific and unique synthesis conditions compared to other methods are summarized in Table 1.

High-resolution transmission electron microscopy (HRTEM) results (see Fig. 2a–e) confirmed the pore size of the five types of OMCs. They were 0.83 nm, 1.55 nm, 2.98 nm, 4.23 nm, and 5.33 nm, respectively. The details of the measurement of the pore size are shown in Fig. S1. Briefly, 15 spots in each HRTEM photo were randomly chosen and measured using the scale bar in the original photo of each OMC and ImageJ software. The average pore size of 15 measurements was adopted. It should be noted that pore size determined by HRTEM is common in OMC and SBA-15 studies.2,14 For convenience of discussion, these five OMCs were named after their pore size as OMC-0.83, OMC-1.55, OMC-2.98, OMC-4.23, and OMC-5.33.


image file: d4va00414k-f2.tif
Fig. 2 High-resolution transmission electron microscopy (HRTEM) photos of OMCs with pore sizes of 5.33 (a), 4.23 (b), 2.98 (c), 1.55 (d), and 0.83 (e) nm, respectively.

The XRD analysis results of these five OMCs are shown in Fig. 3. The three peaks which represent (100), (110) and (200) diffractions of the hexagonal space group (p6mm) (ref. 2) were observed, suggesting that their carbon structures remain the same as the pore size varies. An interesting trend of these peaks becoming broader, weaker and shifting to the right as pore size decreases is consistent with other research groups' work on the synthesis of different mesopore OMCs.16,17 This phenomenon is suggested to be caused by the smaller individual crystalline domains within the OMCs as the pore size of the media decreases.28


image file: d4va00414k-f3.tif
Fig. 3 XRD patterns of the five types of OMCs.

Additional N2 sorption and desorption experiments and analysis through the Non-local Density Functional Theory (DFT) pore size distribution identified the dominant pores and average pore size, which are consistent with the HRTEM measured size. The slight difference may be caused by the diffusion limitation of nitrogen29,30 (see Fig. S2 and Table 2). The surface area, total pore volume and micropore volume followed the same trend in the order: OMC-0.83 > OMC-1.55 > OMC-2.98 > OMC-4.23-OMC-5.33, with OMC-0.83 showing the largest surface area of 402.7 m2 g−1, total pore volume of 0.43 cm3 g−1, and micropore volume of 0.15 cm3 g−1 (see Fig. S3 and Table 2). Besides, for the 3 types of mesoporous OMCs in this case, micropores were also detected, as shown in Fig. S2 and Table 2. This phenomenon is consistent with other studies.1,31,32 Accordingly, two possible reasons induce the formation of micropores: (1) preparation inhomogeneities in the carbon precursor filling, polymerization and carbonization processes. (2) the presence of micropores inside the carbon rods.31 Raman spectra of all OMCs revealed a typical D band at 1329 cm−1 and a G band at 1595 cm−1 (see Fig. S4). This is similar to the granular activated carbons (GAC), suggesting these OMCs were made of the defective, amorphous carbon and ordered graphitic crystallites of carbon.10 The ratio of these band peaks (ID/IG) indicates the relative amount of defective carbon in the samples.33 As is shown in Table S1, the ID/IG of the five OMCs slightly increased as the pore size increased, suggesting that more defective carbon exists in the larger pore size OMCs. It is reported that defective carbon appears to be more important in pollutant removal.34

Table 2 Surface area and pore size information of OMCs based on N2 sorption and desorption
Carbon BET surface area (m2 g−1) Total pore volumea (cm3 g−1) Dom. pore size (nm) Avg. pore size (nm) Micro-volumeb (cm3 g−1)
a Total pore volume was measured via the DFT model. b Micro-volume was measured via the DFT model. Dom. is dominant. Avg. is average and Micro is micropore.
OMC-0.83 402.7 0.43 0.46, 0.59 0.57 0.15
OMC-1.55 397.9 0.44 0.54, 1.18 1.10 0.13
OMC-2.98 324.3 0.26 0.46, 4.32 3.97 0.13
OMC-4.23 247.9 0.19 0.59, 4.32 4.30 0.12
OMC-5.33 226 0.10 0.59, 5.43 5.42 0.06


The hydrophobicity and surface charge of these OMCs were also characterized with the results shown in Fig. S5 and S6. The contact angles of the five OMCs were comparable at around 130–147° with a slight decline as pore size increases, indicating strong hydrophobicity that is conducive to organic pollutant removal. The zeta potential analysis confirmed the negative charge of these OMCs at neutral pH and this negative surface charge was enhanced as the pore size increased.

To assess the removal of aqueous pollutants by these OMCs and explore the pore size effect on pollutant removal, two common dyes with opposite charges in the textile industry, methylene blue (MB, cationic dye)35 and methyl orange (MO, anionic dye)36 were selected in this case. Additionally, the effect of natural organic matter (NOM), a common component in surface water, was also investigated.

As is shown in Fig. 4, the loading capacity of both MB and MO among the five OMCs appeared to be pore-size dependent. OMC-0.83 obtained the highest qe, 163.9 ± 0.5 mg g−1 for MB and 128.3 ± 4.4 mg g−1 for MO, respectively. The relatively lower removal of MO is likely to be caused by the electrostatic repulsion between the OMCs and the anionic dye molecules (see Fig. S6). For MB, the adsorption capacity increased by 627.1% (based on average qe), while for MO, the loading capacity was enhanced by 368.2% as the pore size lowered to 0.83 nm from 5.33 nm. This phenomenon could be caused by the increasing surface area of the OMCs with decreasing pore size (see Fig. S3 and Table 2). To clarify this, the loading capacity (qe) in Fig. 4 was normalized with BET surface area data in Table 2 and the results are shown in Fig. 5. Interestingly, this pore-size dependent dye removal trend was still observed. Linear fitting suggests that there is a strong negative correlation between the pore size and the dye removal ability of OMCs and the surface area has little effect on it. Apart from the pore size effect, hydrophobicity may also play an important role. Accordingly, the higher hydrophobicity of GAC is likely to promote the removal of dyes.37 The contact angle data in Fig. S5 showed a slight decrease as the pore size of the OMCs increases, indicating that the hydrophobicity difference in our case may also partly contribute to the results in Fig. 4 and 5. For the factor of surface charge of adsorbents, the reverse trend between cationic MB removal in Fig. 4 and zeta potential in Fig. S6 suggests that it contributes little to the pore-size dependent dye removal observed in this case. Similarly, defective carbons cannot be the dominant factor in dye removal as larger pore OMCs with more defective carbons removed smaller amounts of dyes. In addition, differences in the diffusion rates of MB and MO within these different pore channels may contribute to this pore size effect due to confinement in restricted space within the pores.38 Another possibility is the curvature of the pore channels within OMCs. The interaction forces such as electrostatic attraction and van der Waals between oppositely charged MB and OMCs may be enhanced due to the stronger curvature of the pores as pore size decreases.26,27


image file: d4va00414k-f4.tif
Fig. 4 Cationic dye (methylene blue, (a) and anionic dye (methyl orange, (b) adsorption capacity of OMCs at different pore sizes (NOM concentration is 10 mg L−1 humic acid). ChemDraw was used to draw the two dyes' structure.

image file: d4va00414k-f5.tif
Fig. 5 BET surface area normalized adsorption capacity of OMCs for methylene blue and methyl orange at different pore sizes (NOM concentration is 10 mg L−1 humic acid).

Interestingly, the addition of 10 mg L−1 NOM has almost no effect on both MB and MO removal by these OMCs. In addition to molecular weight differences likely existing between the dye and humic acid, humic acids were anionic species at neutral pH in water due to the presence of carboxylic and phenolic acid groups (used in our case to represent NOM), while MB carries a positive charge. The negative surface charge of OMCs would repulse the NOM while attracting cationic MB. That electrostatic repulsion between NOM and OMCs may contribute to the observed results in Fig. 4a.

For the removal of anionic dye MO, similar to MB, there was no significant inhibition by 10 mg L−1 humic acids observed, only a slight 5.5–8.6% in the OMC-0.83 and OMC-4.23 treated groups. It is reported that the removal of pollutants like 2-methylisoborneol and per- and polyfluoroalkyl substances (PFAS) can be significantly inhibited by NOM.39,40 One possible reason for our results is related to the molecular size of the humic acid. The size of humic acids can vary from 500 Da to over 100[thin space (1/6-em)]000 Da.41 The size of our humic acid (53680-10 G, technical grade, Sigma Aldrich) is estimated to be 20[thin space (1/6-em)]000–50,000 Da. Newcombe et al. reported that only humic acid molecules smaller than 3000 Da can cause significant competition inhibition, and for larger humic acid molecules, due to the size exclusion effect, there may not be any inhibition.40 Another suggested reason is the high dose of OMCs used in our case. Yilmaz et al. reported that the inhibition effect by NOM is only significant when the activated carbon dose is low at 10–75 mg L−1.42 Our dose is much higher at 1 g L−1.

More data on the MB and MO removal rates and the colour change in dye solutions are shown in Fig. S7–S10. For 200 mg L−1 MB or MO solution, OMC-0.83 removed 82.2 ± 0.3% of MB and 63.1 ± 2.2% of MO, while that of OMC-5.33 was only 11.3 ± 2.7% of MB and 13.5 ± 0.4% of MO. The performance difference of these two dyes, as discussed before, is likely due to the electrostatic repulsion between anionic MO and negatively charged surfaces of OMCs. There are many studies focusing on MB and MO removal by activated carbon and other adsorbents.43–52 The performance comparison between this work and previous studies is summarized in Table S2. It is shown that the MB and MO loading capacity of our OMC-0.83 is comparable to the reported best ones, indicating that it is an efficient adsorbent for dye removal and our strategy to lower the pore size of carbon adsorbents to enhance dye removal is feasible.

It should be noted that the studies of the pore size effect on dye or other target species removal using carbon materials such as OMCs and carbon nanotubes or CNTs have been conducted previously by others.10,26,27 In those studies, however, the carbon structures of either OMCs (e.g., Y-zeolite templates for microporous OMCs and SBA-15 for mesopore OMCs) or CNTs (e.g., single wall CNTs and multi-wall CNTs) have completely changed when attempting to adjust the pore size. This makes it very difficult to clarify the effect of structural changes and pore size changes separately. In contrast, in this study, the effect of structural changes is excluded as the five OMCs have the same hexagonal structure (see Fig. 3). As far as we know, this study is the first to evaluate dye adsorption using microporous and mesoporous OMCs without changing the OMC structure.

In summary, a new way to synthesize microporous OMCs with tunable pore size was introduced. It overcomes the limitations of the zeolite template method that only allows the synthesis of OMCs with pore size ≤1 nm and makes it possible to synthesize microporous OMCs with a broader range of pore sizes spanning from microporous to mesoporous domains. Besides, we found that both cationic MB and anionic MO removal by these OMCs was pore-size dependent. The smaller the pore size, the better the removal performance toward the dyes from water. This new synthesis method may boost the applications of OMCs in molecule sieves, gas separation/storage, batteries, water remediation, and many other fields.

Data availability

Data are available in the shared Excel file and ESI file.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was supported by the University of Missouri (MU) Research Excellence Program to P. Ni and by the United States Environmental Protection Agency (US EPA) under assistance agreement #84065101 with the Missouri Water Center (MWC). The contents of this document do not necessarily reflect the views and policies of the US EPA, nor does the EPA endorse trade names or recommend the use of commercial products mentioned in the document. The authors thank the Electron Microscopy Core Facility at the University of Missouri (EMC) for their assistance with the Spectra 300 TEM analysis. The authors thank Dr Cherian Joseph Mathai from the MU Materials Science & Engineering Institute for the training of conducting Raman and contact angle tests. The authors thank Prof. Zhiqing Hu and Dr Rahamat Ullah Tanvir for zeta potential analysis training. The authors thank Prof. Shouzhong Zou at American University for BET analysis.

Notes and references

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Footnote

Electronic supplementary information (ESI) available: Characterization and dye removal data are available in the Excel spreadsheet. See DOI: https://doi.org/10.1039/d4va00414k

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