Abstract
Biodegradable hydrogels have great potential in agriculture. In this study, hydrogel prototypes of biodegradable slow-release fertilizers were formulated by a Schiff base reaction between dialdehyde carboxymethyl cellulose and gelatin. The release behavior of iron cations from these carboxymethyl cellulose-based hydrogels with different degrees of substitution was studied. The analyses of the relation between correlation length of the cross-linked hydrogels and the degree of substitution, i.e., the amount of negatively charged positions in the hydrogels, allowed to determine the influence of structure and electrostatic interaction on cation release kinetics, which was successfully described by Peleg’s Model. The hydrogel with the lowest degree of substitution reveals the slowest release of cations due to the smallest correlation length. These results demonstrate that the correlation length is dominant for the release of divalent cations. Moreover, this also shows the potential of the DACMC-Gelatin hydrogels as matrix for slow-release fertilizers.
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Introduction
The world population is expected to reach 8.1 billion in 2025 and 9.6 billion in 2050 [1, 2]. Meanwhile, the recent “Global Report on Food Crises 2022” warned that about 193 million people in 53 countries are severely food insecure [3]. Fertilizer use is increasing by 2.5 million tons per year to improve food production and close the supply gap [4,5,6]. However, unformulated fertilizers release nutrients rapidly, resulting in severe environmental pollution, such as eutrophication of water bodies, groundwater pollution, or emission of greenhouse gasses [5, 7, 8]. Meanwhile, the use of macronutrient fertilizers has led to the deficiency of secondary and micronutrients such as zinc (Zn), iron (Fe), and manganese (Mn) in the soil, which has been already observed in some intensively planted areas [9,10,11]. Attempts to formulate fertilizers often make use of non-degradable materials such as polyolefins, resins, or polyurethanes, which may lead to the accumulation of toxic substances in soil [12, 13].
Therefore, research on slow release fertilizers (SRF) with biodegradable biobased materials, such as alginate, chitosan, gelatin, cellulose, starch, and soy proteins, has been considered for decades [14,15,16]. These fertilizers slowly release the nutrients and thus reduce wash-out in comparison to non-formulated fertilizers, while formulation materials can be slowly decomposed by microbial decomposition, photolysis, or hydrolysis in the soil [13, 17,18,19].
Among these degradable materials, gelatin and cellulose are the two candidates with the greatest potential because they are environmentally friendly, abundant, and renewable [16]. Gelatin is a derivate of collagen, but it has better water solubility and amphoteric behavior due to the coexisting alkaline amino groups (-NH2) and acidic carboxyl groups (-COOH) in the linear structure. The safety and biodegradability of gelatin have been confirmed by the Food and Drug Administration (FDA) [20]. Two types of gelatins are produced by different processes. Type A gelatin is produced by acidic preconditions and has an isoelectric point (IEP) around 9.00, while type B gelatin is obtained under alkaline conditions and has an isoelectric point around 5.00 [21, 22]. The mechanism of release behavior of ions or drugs from gelatin-based polymers has been discussed in several articles [23, 24].
Meanwhile, cellulose is the most abundant naturally occurring polymer of glucose (Scheme 1a), which can be extracted from plants and natural fibers such as cotton and flax [25, 26]. The hydroxyl groups in the C-2 and C-5 positions of the cellulose chain can be chemically modified to form various functional groups such as primary amino groups (-NH2), acetamide groups (CH3CONH-), or carboxylate groups [27]. Among them, sodium carboxymethylcellulose (NaCMC, Scheme 1b), which contains negatively charged positions, is expected to favor slow release behavior due to electrostatic attraction with cations, which was used in our research in the formulation of SRF prototypes.
In addition to the electrostatic attraction between negatively charged positions and cations, water penetration and exchange due to the difference in nutrient concentration inside and outside fertilizers is the main mechanism for the release of nutrients from fertilizers into the soil. Thus, the open space for water determines the rate of water penetration or exchange, which affects the release rate of nutrients. Several studies applied this property to produce SRFs [17, 28,29,30].
However, gelatin and cellulose have been used either as coating materials for chemical fertilizers [28, 31, 32], or formulated separately with other polymers such as polyvinylpyrrolidone (PVP), poly(acrylamide), or dibutyl sebacate (DBS) as carriers for nutrients [15, 17, 33]. Neither was a study found reporting the formulation with these two degradable polymers as SRF, nor a paper discussing the release behavior of ions from the resulting polymer matrix, although these two polymers can be easily cross-linked by the Schiff base reaction (Scheme 2) to form hydrogels as suitable carriers that can absorb a lot of water and release it to the soil along with the nutrients among in the water, over a long time. This water retaining and slow release nature make hydrogels good candidates for SRFs [15, 34, 35].
In this study, we focused on the synthesis of hydrogels by the Schiff base reaction based on NaCMC with different degrees of substitution (DS) and gelatin (type B). The DS, the correlation length of hydrogel network as a measure of free volume, and the release kinetics of divalent iron cations (Fe2+) from them under acidic conditions (pH = 3–4) typical for soils of our model plant blueberry were analyzed to understand whether the DS or the correlation length dominates the release rate of the cations.
Materials and methods
Materials
Sodium carboxymethyl cellulose NaCMC-7 M, -9 M and -12 M (DS = 0.7, 0.9 and 1.2, M: medium viscosity, Ashland Company), gelatin (type B, IEP = 5, 100–180 kD, Gelita AG), sulfuric acid (96%, Carl Roth GmbH), sodium metaperiodate (99%, Carl Roth GmbH), ethylene glycol (99%, Carl Roth GmbH), hydroxylamine hydrochloride (99%, Thermo Scientific™), iron(II) sulphate heptahydrate (99.5%, Carl Roth GmbH). Dialysis membrane (Spectra/Pors, MWCO = 12–14 kDa). Deionized water was purified using an Arium pro VF system (Sartorius AG, Göttingen, Germany).
Preparation and characterization of dialdehyde carboxymethyl celluloses
Dialdehyde carboxymethyl cellulose (DACMC) was prepared according to the method of Jiang [36] and Zhang [37] with an optimized modification. The concentration of NaCMC solution was reduced to avoid incomplete mixing due to too high viscosity. The heating time was also extended to 24 h to ensure a complete reaction. For the three synthesis batches, 10 g of each of the three NaCMC (DS = 0.7, 0.9, or 1.2) were dissolved in 350 ml deionized water at 30 °C for 24 h. The pH of the NaCMC solutions was adjusted to 3.0 with 0.1 M H2SO4. Then, 10 g NaIO4 in 100 ml deionized water (pH = 3.0) was slowly added to the NaCMC solutions under stirring. The mixtures were stirred at 30 °C for 72 h in the dark. After the remaining periodate was decomposed with 35 ml ethylene glycol for 30 min, the reaction solutions were dialyzed in deionized water for 3 days and freeze-dried using a freeze dryer (CHRIST Gefriertrocknungsanlage GmbH, Alpha 2–4 LSC basic) to gain the final product, namely DACMC-7 M, DACMC-9 M, and DACMC-12 M.
The IR spectrum of the DACMCs was recorded using a FT-IR spectrometer (JASCO 4100 with ATR, attenuated total internal reflection, crystal: zinc selenite) in the range of 4000–650 cm−1.
Determination of the degree of oxidation of DACMCs
The degree of oxidation (DO) was estimated by hydroxylamine hydrochloride titration with an optimized modification [36,37,38]. 0.2 g of DACMC (7 M, 9 M, or 12 M) was dissolved in 15 ml deionized water. The pH of this solution was adjusted to 4.0 with 1.0 M NaOH. 8 ml 0.72 M hydroxylamine hydrochloride (pH = 4.0) was added to the DACMC solution and stirred at 40 °C for 4 h. The resulting hydrochloric acid was titrated with 1.0 M NaOH, and the consumption of the NaOH solution was recorded as Vc. NaCMC (DS = 0.7, 0.9, or 1.2) solution with the same concentration and pH was used as a blank, and the consumption of the 1.0 M NaOH solution was recorded as Vb. The DO of each DACMC was calculated using the following equation:
where MNaOH is 1.0 mol/l, m is the dry weight of DACMC, and 211 is the average molecular weight of the repeating units in DACMC. The estimation of DO was repeated three times for each DACMC.
Preparation and characterization of DACMC-gelatin hydrogels
In this study, different polymer ratios and total polymer contents were tried, but only the synthesis with a 5: 1 polymer ratio (gelatin: DACMC) and a total polymer content of 10% proved successful in several replicates and was used for our study (see Supplementary information for details). The synthesis steps are as follows: 2.4 g of DACMC (7 M, 9 M, or 12 M) was dissolved in 96 ml of deionized water, and 12 g of gelatin (type B, IEP = 5, 100–180 kD, Gelita AG) was dissolved in 48 ml of deionized water. Both solutions were stirred at 60 °C for 1 h to obtain clear solutions. 1 ml of the gelatin solution was dropped separately into a 24-well plate, and then 2 ml of the DACMC solution was mixed well with the gelatin in the 24-well plate. The 24-well plate was then heated in an oven at 60 °C for 1 h. The synthesized DACMC-Gelatin hydrogels (DG hydrogels) were removed from the 24-well plate, freeze-dried, and stored in a desiccator. The gelatin used to make all three hydrogels was the same with the same polymer concentration and ratio. The disk-shaped final products were named as DG-7, DG-9, and DG-12, depending on the type of three DACMCs used during synthesis. These hydrogels are intended for industrial scale agricultural use. Therefore, in this study the hydrogels are not washed after preparation, but used directly for the next experiments to better simulate of the manufacturing process in industry and the application conditions in agriculture.
The IR spectrum of DG hydrogels was recorded using a FT-IR spectrometer in the range of 4000–650 cm−1.
Determination of gel fraction, swelling ratio, stability, and degradability of hydrogels
The measurement of gel fractions was performed and optimized following the article by Lam et al. [39]. The synthesized hydrogels were stored separately in 50 ml centrifuge tubes and completely freeze-dried in a freeze dryer. The percentage of gel fractions (GF%) was measured at 25 °C and calculated according to the following equation, where w0 and w1 are the weights of the original wet and dried hydrogels, respectively.
The swelling ratio (SR) and the stability of hydrogels were determined in deionized water as follows. The as synthesized DG-7, DG-9, and DG-12 hydrogels were individually immersed in 25 ml of 0.1 M FeSO4 solution separately at 25 °C for 48 h (t0 = − 48 h) to form the Fe-7, Fe-9, and Fe-12 hydrogels. The Fe-7, Fe-9, and Fe-12 hydrogels were then immersed in 25 ml of HCl-adjusted deionized water (pH = 3.5).
To determine the swelling ratio, the diameter d and thickness b of each disk-shaped hydrogel were measured with a caliper after a certain period of time, 5 different points were measured and averaged at a time, and the experiment was repeated three times for each hydrogel. The SR of Fe hydrogels were compared based on the growth volume calculated using the following equation:
where V is the volume of the disc-shaped hydrogel, b reveals the thickness of each hydrogel, and d indicates the diameter of each hydrogel.
where V% is the volumetric swelling ratio, Vt is the volume of hydrogel at time t, and V0 is the initial volume of each hydrogel before immersion in the FeSO4 solution (t0 = − 48 h). The initial volume of the samples before swelling was recorded: V0(DG-7) = 525.27 mm3, V0(DG-9) = 527.55 mm3, V0(DG-12) = 523.81 mm3.
To determine the stability and degradability, the weight m of each hydrogel was recorded after a certain period of time. The ratio of weight change m% was calculated as follows:
where m% is the ratio of weight change, mt is the weight of hydrogels after absorption in deionized water for time t, and m0 is the initial weight of each hydrogel before immersion in FeSO4 solution (t0 = − 48 h). The experiment was repeated three times for each hydrogel. The initial weight of the samples was recorded: m0(DG-7) = 141 mg, m0(DG-9) = 147 mg, m0(DG-12) = 138 mg.
Each experiment was repeated three times.
Determination of correlation length of hydrogels with SAXS
Samples for small-angle X-ray scattering were prepared as follows: DG Hydrogels were immersed in 0.1 M FeSO4 solution (pH = 3.47, named as Fe-7, Fe-9, and Fe-12) and HCl-adjusted deionized water (pH = 3) for 48 h. SAXS measurements were performed using an in-house SAXS/WAXS system (XEUSS, Xenocs, Sassenage, France) at room temperature. The hydrogel samples were cut into small pieces with a thickness of about 2 mm and measured in a solid sample holder. The corresponding excess sample solution was added to the cells, which were subsequently sealed with Kapton tape to prevent solvent evaporation during the measurement. Spectra were collected for 18 h per sample. Radial integration of the 2D detector image recorded by a Pilatus 300 K hybrid pixel detector (Dectris, Baden Deattwil, Switzerland) was performed using the Foxtrott software [40]. To obtain the scattered beam intensity on an absolute scale, background correction, and normalization with glassy carbon type 2 [41] were performed. Silver behenate reference sample, was used for the calibration to obtain exact q-values, with q being the magnitude of the scattering vector [42]:
with \(\lambda\) being the wavelength of the scattered light and \(\theta\) the scattering angle. The scattering intensity was modeled using the approach of Saffer et al. utilizing the correlation length model to model the hydrogel SAXS Data as follows [43]:
where IP and IB are scaling factors, q is the scattering vector. Parameters n, m, and ξ are the scattering exponent, the Lorentzian exponent, and the correlation length of the network fluctuations, respectively. For hydrogels, the correlation length of the polymer chains can also be referred to as the dynamics of the hydrogel. The scattering exponent gives information about the fractal structure of the gel network while the Lorentzian exponent depends on polymer solvent interactions [43,44,45,46,47,48,49].
Uptake and release kinetic of Fe2+ ions
To investigate the total amount of Fe loaded in hydrogels and the release kinetic of Fe2+ ions from hydrogels, 16 pieces of each DG hydrogel were weighed and placed in 50 ml centrifuge tubes separately. 25 ml 0.1 M FeSO4 solution was poured into each centrifuge tube. After 48 h, the hydrogels (named as Fe-7, Fe-9, and Fe-12) were removed and carefully washed three times with exactly 2 ml deionized water. The solution used for immersion and washing was collected. The volume of the solution was measured and the concentration of Fe2+ ions in it was analyzed using an UV–Vis spectrometer (GENESYS 10S UV–Vis, Themo Fisher Scientific Inc.) and the total amount of Fe2+ absorbed in the hydrogel was calculated as follows:
where n(Fe2+) is the total amount of Fe2+ ions loaded into the hydrogel, M(Fe2+) is the standard atomic weight of the iron atom, c(Fe2+) indicates the concentration of Fe2+ ions in the solution and V is the volume of the solution.
The Fe hydrogels were then immersed separately in 25 ml HCl adjusted deionized water (pH = 3.5) in the 50 ml centrifuge tubes. After a period of time, the DG hydrogels were removed and the Fe2+ concentration in the remaining solution was determined by UV–Vis spectroscopy. The results were fitted using the modified Peleg’s model considering the total amount of loaded Fe2+ in hydrogels as follows [50]:
where E(t) is the Fe2+ concentration at time t, E0 reveals the initial concentration of Fe2+ ions at t = 0, k1 is the temperature dependent Peleg’s rate constant given as the percentage released as a function of time [51,52,53], and k2 is Peleg’s capacity constant at the equilibrium stage. According to Peleg et al., Noorolahi et al., and Abu-Ghannam et al., the reciprocal of k1, i.e. value 1/k1 represents the release rate [50, 53,54,55].
Each experiment was repeated three times.
Results
Preparation and characterization of DACMCs
Dialdehyde carboxymethyl cellulose (DACMC) was prepared by periodate oxidation with NaIO4, to convert the unreactive hydroxyl groups in the polysaccharide to aldehyde groups, which can react with the amine groups for the consecutive gelation process (Scheme 3).
The structures of NaCMC and DACMCs were investigated by FT-IR and their spectra were shown in Fig. 1. It can be observed that all the DACMC samples exhibit two significant peaks at 1735 cm−1 and 885 cm−1 compared to the unoxidized NaCMC, confirming the introduction of aldehyde groups into the structure after periodate oxidation. The peak at 1735 cm−1 represents the stretching vibration of the free dialdehyde group, while the peak at 885 cm−1 is associated with the vibration of the hemiacetal group [56, 57]. The FT-IR spectra confirmed the successful synthesis of the DACMC products.
Determination of degree of oxidation (DO) of DACMCs
Since the aldehyde groups in DACMC are one of the important participants in the Schiff base reaction to form the hydrogels, their content may affect the correlation length of the formulated hydrogels. Scheme 4 shows the mechanism for determination of the DO of DACMC with hydroxylamine hydrochloride. The DO of all DACMCs was calculated using Eq. 1, the results are shown in Fig. 2.
No significant difference was found among the three DACMCs, and the values were in a small interval between 13.10 and 13.35. In conclusion, the amount of carboxyl groups in the different celluloses did not affect the formation of aldehyde groups on the cellulose chain under the same reaction conditions, the DO of the DACMCs after oxidation were considered to be almost the same.
Preparation and characterization of DG hydrogels
DG hydrogels were synthesized by the Schiff base reaction between DACMC and gelatin. The aldehyde groups in DACMC and the primary amine groups in gelatin cross-linked with each other, leading to the formation of a three-dimensional network. The resulting C = N double bond is the sign of a Schiff base (Scheme 5).
The synthesized DG hydrogels are shown in Fig. 3a. The FT-IR spectra of the reactants and the corresponding DG hydrogels are shown in Fig. 3b. The C = N bonds theoretically give rise to a peak in the range 1590–1690 cm−1. However, the C = O stretching vibration of the carboxyl groups in DACMC generates a strong peak which may superimpose the C = N peak. Thus, the disappearance of the peaks at 1735 cm−1 and 885 cm−1, revealing the disappearance of the aldehyde groups and the corresponding hemiacetal groups, is sufficient to demonstrate the successful formation of the C = N crosslinking point and the relevant Schiff base [58, 59].
Determination of gel fraction, swelling ratio, stability, and degradability of hydrogels
The gel fractions of all DG hydrogels were calculated according to Eq. 2. The results are shown in Fig. 4.
From the graph, we can see that the gel fractions of all three hydrogels are almost the same, ranging from 15% to 16%. Based on this data, we infer that the total content and ratio of DACMC and gelatin in the three synthesized hydrogels are also similar.
The swelling ratio of hydrogels reflects the ability to absorb water, which also affects the release kinetics of ions [60]. In this research, the swelling ratio of three Fe hydrogels was determined by the volume growth of the disk-shaped hydrogels according to Eqs. 3 and 4, which was calculated based on their thickness b and diameter d (Fig. 5a). The results are shown in Fig. 5b.
The swelling ratios of all three hydrogels reached equilibrium after about 14 days (336 h) and showed no significant decrease until day 35 (840 h), reflecting the stability of the Fe hydrogels in acidic solutions (pH = 3.5). The swelling ratio of the Fe-12 hydrogel was the largest among the three, with a volume expansion of about 2.4 times the initial volume, while the swelling ratio of the Fe-7 hydrogel was the smallest, at about 2 times the initial volume. The Fe-12 sample has better water absorption capacity compared to the other two hydrogels, but this may also lead to faster diffusion of ions from it. From day 42 (1008 h), a slow decrease in the swelling ratio of the Fe-12 sample was observed, while the swelling ratio of Fe-7 and Fe-9 did not decrease, also indicating that the structures of Fe-7 and Fe-9 hydrogels are more stable compared to Fe-12.
The stability of the hydrogels helps to avoid the bursting effect caused by damage of the hydrogel structure, which improves the slow-release ability of the SRFs [19, 61], while the degradable hydrogels avoid the accumulation of the polymer matrix in the soil, which causes deterioration of the soil environment [17, 18]. The weight changes of the hydrogels were determined using Eq. 5 and the results were summarized in Fig. 6.
As shown in Fig. 6, the trends of weight changes of the three Fe hydrogels coincided with the trends of volume changes in Fig. 5. On the 31st (744 h), the weight change ratio of the three hydrogels attained the maximum, with the weight change ratio of the Fe-12 hydrogel reaching 9.4 times the initial weight, which was higher than that of Fe-9 (7.6 times) and Fe-7 (7.3 times). Like the swelling ratio results, this also suggests that the Fe-12 hydrogel can absorb more water. This could be due to its looser internal structure, which likely results in a higher diffusion rate of iron ions from the gel. From day 42 (1008 h), the weight change ratios of Fe-9 and Fe-12 began to decrease, with the weight change ratio of Fe-12 decreasing more significantly, indicating a significant degradation process of Fe-12 began at this time. In contrast, the weight change ratio of Fe-7 showed no significant downward trend, indicating that its structure in acidic solution was more stable than the other two.
In summary, all three hydrogels exhibited long-term stability (35 days) in an aqueous solution with pH = 3.5. Among them, the Fe-12 hydrogel showed a better ability to absorb water, but this could be due to its looser internal structure, which also leads to a higher diffusion rate of ions from it, which is unfavorable for a slow-release fertilizer. The Fe-7 hydrogel has some disadvantage in water uptake compared to the other two hydrogels, but its stability is better, which is more favorable for slow-release fertilizer. All three hydrogels showed a tendency to degrade after 42 days, with Fe-12 showing the most significant degradation. In contrast, the degradation of Fe-7 was slower, so the burst effect caused by too rapid degradation was better avoided.
Determination of correlation length of hydrogels with SAXS
In this study, the correlation length ξ of the synthesized hydrogels was investigated to describe the mesh size of the polymer. For some cross-linked hydrogels a second correlation length ξc can be found. It reveals the average distance between two adjacent crosslinking points (Scheme 6) [43, 46, 47]. In our case, a large ξc may be due to the low content of primary amine groups in gelatin, which offers only a low number of reaction points for Schiff base formation with aldehyde groups in DACMCs and causes dispersed crosslinking points.
The fitting parameters of the SAXS measurements are summarized in Table 1.
Figure 7 shows SAXS data which were fitted by Eq. 7. The distance between the crosslinking points (ξc) cannot be resolved in our experiments which is most-likely due to the rather low number of them. To take the increasing signal at low q into account, the increased scattering intensity at low q is modeled by a power law in Eq. 7. This procedure does not give us any information about ξc, which could only be measured in q regions unavailable for us, and was done only to fit the data in the low q region. However, the scattering exponent n gives information about the structure of the gel.
An exponent of n = 4 would satisfy the Debye-Bueche relation and is caused by the crosslinking of the hydrogels, while exponents in the region of n = 3 to 4 denote a mass fractal structure of the gel, caused by additional aggregative interactions [62].
In this work we observe n = 4 for DG-12 and Fe-9, indicating no mass fractal, while the gels with fewer carboxyl groups seem to have a mass fractal structure. One reason for that could be the electrostatic repulsion between the carboxyl groups preventing aggregation.
The most important information obtained from the SAXS graphs is the dynamic mesh size ξ. In general, the dynamic mesh size of DG-12 was larger than the dynamic mesh sizes of DG-9 and far larger than DG-7, especially after the introduction of Fe2+ cations (Fig. 8a). This shows that the hydrogel chains in DG-12 have a more extended polymer network structure. This trend is due to the higher portion of carboxyl groups in DACMC-12 M. The electrostatic repulsion with the hydrogel networks is enhanced and the corresponding ξ of DG-12 was larger than DG-9 and DG-7 at the same polymer concentration. One reason for the difference in the dynamic mesh size ξ of the individual hydrogels in FeSO4 solution compared to their dynamic mesh size in deionized water may be the introduction of more negative sulfate anions, which resulted in higher electrostatic repulsion. This appears to have little effect on the dynamic mesh size of Fe-9 and Fe-7. For Fe-12, there is a significant increase in ξ, which can be attributed to the higher content of carboxyl groups. In addition, the fact that Fe-12 has the largest swelling ratio among all hydrogels is consistent with the fact that it has the largest correlation length.
Overall, DG-12 and Fe-12 showed the largest dynamic mesh size among the three hydrogels, which is attributed to higher electrostatic repulsion, especially after absorption in FeSO4 solution. This is not only the reason for the largest swelling ratio of DG-12, but may also lead to a higher ion release rate from Fe-12.
Uptake and release kinetic of Fe2+ ions
The total amount of Fe2+ cations in the Fe hydrogels is shown in Fig. 9. Of the three hydrogels, Fe-12 absorbed more Fe2+ cations, about 20% more in total than Fe-9 and Fe-7. Fe-12 has a better ion absorption capacity, which is most likely due to its looser structure and correspondingly better ability to absorb more water. However, this difference in Fe2+-loadings does not have a very significant effect on ion release, and the concentrations of loaded Fe2+ ions in the hydrogels were already taken into account when fitting the release rate using Eq. 9.
The release kinetic of Fe2+ cations from the hydrogels into the water (Fig. 8b) was investigated by UV–Vis measurement of the released Fe2+ concentration per unit volume of the hydrogel in a given time period with the concentration-absorption correlation of the Fe2+ standard solution and fitted according to Peleg’s model (Eq. 9). Peleg’s rate constant k1 is confirmed to be related only to the temperature according to Peleg et al., Hung et al., and Sopade et al. [51, 52]. Since the gelatin used for the formulation has the same polymer concentration and ratio for all three hydrogels, its effect on the release behavior of Fe ions is also considered to be the same in this study. The release results are analyzed together with the correlation length and DS of DACMCs to understand which of these two parameters dominates the release kinetic of Fe2+ cations.
The Fe-12 hydrogel released the highest amount of Fe2+ cations among the three hydrogels in a given time period. After fitting with Peleg’s model, the 1/k1 value of each hydrogel, which reveals the release rate of Fe2+ cations, is shown in Fig. 10 in dependence on the correlation length of each hydrogel.
According to Fig. 9, the release rate of Fe2+ from Fe-12 was almost 1.5 times as fast as from Fe-7 and 1.3 times as fast as from Fe-9. The dynamic mesh size ξ of Fe-12 was confirmed to be much larger than Fe-7 and Fe-9 (Fig. 8a) and the release rate of Fe2+ from DG hydrogels increases with increasing dynamic mesh size. Thus, it is demonstrated that the dynamic mesh size is the decisive parameter for the release rate of Fe2+ from DG hydrogels, while the electrostatic attraction between carboxyl groups and cations shows less or no influence at pH 3.5.
Conclusion
In this study, DG hydrogels based on oxidized carboxymethyl cellulose and gelatin were successfully synthesized and characterized. The stability and degradability after absorption of Fe ions were analyzed. Hydrogels with various contents of carboxyl groups show different release speeds of Fe2+ cations. The correlation length of hydrogels and degree of substitution of carboxyl groups in cellulose were analyzed and the dynamic mesh size (correlation length) is revealed to be a decisive parameter for the release rate of Fe2+ cations.
The hydrogels were found to have long-term stability, and were slowly but continuously degradable over time at lower pH value. It was found that Fe-12 degraded faster than Fe-9 and Fe-7. We assume a less stable structure caused by the hindrance of the formation of crosslinking points between DACMC-12 M and gelatin due to the higher content of negative carboxyl groups during the synthesis. Since the gelatin used to formulate all three hydrogels has the same polymer concentration and ratio, its effect on the hydrogel structure is also considered to be the same. Thus, in this study, the difference in the DS of the DACMCs is considered to be the only reason for the differences in the swelling ratios and weight changes of the three hydrogels. DG-12 which contains the most negatively charged positions, exhibits the highest electrostatic repulsion between the polymer chains, resulting in a looser and therefore more degradable structure. In contrast, DG-7 exhibits the lowest electrostatic repulsion between the polymer chains and therefore the tightest structure. The addition of divalent Fe ions increases the ionic strength [63, 64] of the external solution resulting in a lower mesh size for Fe-7 and Fe-9 compared to DG-7 and DG-9. As an exception to the expected trend, Fe-12 shows a small increase in mesh size compared to DG-12, indicating another unknown interaction that may play a role here.
Fe-12 with the highest DS and the largest correlation length showed the highest release rate of Fe2+ cations. A higher content of carboxyl groups, i.e., a higher DS, can provide electrostatic attraction with cations and thereby reduce the release rate of Fe2+ cations. However, such an effect on the release rate should not be observed because the pH was adjusted to 3.5, which resulted in suppression of any electrostatic effects produced by deprotonated carboxyl groups. In contrast, this resulted in a higher repulsion between the polymer chains and a larger distance between the polymer chains within the hydrogel structure, which also led to a higher degree of swelling and a larger correlation length. Therefore, the penetration and exchange of water together with the cations were faster in Fe-12 than Fe-9 and Fe-7 and resulted in the highest release speed of cations. The water-retaining and slow-release behavior as well as the degradability of the three formulated hydrogels at lower pH indicated their potential as slow-release fertilizers. The smallest correlation length and the most compact structure, as well as the slowest degradation, were found for the Fe-7 hydrogel, which favors the slow release of iron ions and avoids the burst effect caused by too fast degradation, making it the most suitable candidate for slow-release fertilizers.
Our next step is to analyze the release kinetics of other cations with different charges such as K+, Ca2+, Fe3+, or anions such as PO43−. In future works, the correlation length and release behavior of DG hydrogels at higher pH will be studied. Since carboxyl groups in cellulose will be deprotonated at higher pH, we expect electrostatic interactions between the cations and the deprotonated carboxyl groups to gain importance, which may lead to slower release kinetics for DG-12.
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Qu, Y., Haverkamp, R., Jakobs-Schönwandt, D. et al. Cation release from different carboxymethyl cellulose hydrogels. Colloid Polym Sci 301, 863–878 (2023). https://doi.org/10.1007/s00396-023-05104-2
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DOI: https://doi.org/10.1007/s00396-023-05104-2