# Mixture Design Approach on the Physical Properties of Lignin-Resorcinol-Formaldehyde Xerogels

Authors: Chris D. Castro; Germán C. Quintana
Journal: International Journal of Polymer Science
 (2015)

---

## Abstract

Organic xerogels were functionalized by incorporating sugarcane bagasse lignin from soda pulping black liquor, not used so far in this materials, with the aim of introducing new functional groups on traditional gels that could improve its adsorptive capacity. Two mixing designs were applied to identify the reactive combinations that allow a well gel formation and to adjust models that predict physical properties. The designs study five components: resorcinol (R, 0.04–0.3), lignin (L, 0.004–0.14), formaldehyde (F, 0.08–0.17), water (W, 0.45–0.8), and NaOH (C, 0.0003–0.0035). The first experimental design was an extreme vertices design and its results showed shrinkage between 4.3 and 59.7 and a bulk density from 0.54 to 1.3; a mass ratio L
R
/
F near 1.5 was required for gel formation. In the second design a D-Optimal was used to achieve better adjusted coefficients and incorporate the largest possible amount of lignin in the gels. Bulk density varies from 0.42 to 0.9, shrinkage varies from 3.42 to 25.35, and specific surface area reaches values of 451.86 m2/g with 13% lignin and 270 m2/g with 27% lignin. High catalyst content improves lignin dissolution and increase shrinkage and bulk density of xerogels and bulk density. Lignin contributes to reducing shrinkage and specific surface area due to his compact and rigid structure.


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## Body

## 1. Introduction

The first organic gel was obtained by Pekala in a sol-gel polymerization of resorcinol and formaldehyde under alkaline conditions and supercritical drying [1]; this was called aerogel. If the method of drying the gel is at subcritical conditions, the the gel is called xerogel; under freezing conditions, is called cryogel. The organic gels are suitable for several applications like catalysis, insulation, supercapacitors, and hydrogen storage, due to their properties like high surface area, controlled porous structure, low bulk density, and high electric conductivity [2–4]. Organic gel production costs are high; therefore new process and raw materials have been studied to obtain a product commercially attractive [5]. Besides resorcinol, other phenolic compounds have been used: phenol [6, 7], tannins [8, 9], 2,4-dihydroxybenzoic acid [10], pyrocatechol [11], technical lignin [12–16], and so forth. Furfural also has been used as crosslink [17, 18].After cellulose, lignin is the second most abundant biopolymer, is a low cost material, and has a phenolic nature [19]. Lignin is an excellent precursor of activated carbon and bioadsorbent, due to their high molecular weight polymer complex structure and the presence of high electron density functional groups such as carboxylics, carbonyls, hydroxyls and ketones [20–23]. Lignin has already been used in the manufacture of lignin-phenol-formaldehyde resins and adhesives [24, 25], so it can be used as a cheap raw material to prepare organic and carbon gels [12, 13, 16].A catalyst is used to adjust the pH of the solution in the organic gel reaction. Several reagents have been used as catalyst, sodium or potassium carbonates [26, 27], acetic acid [28], nitric acid [29], oxalic acid or paratoluenesulfonic acid [27], sodium hydroxide [13, 15, 30], and so forth. R
/
C ratio is used as controlling parameter because pH changes continuously throughout the reaction [31]. Sodium hydroxide was used like catalyst in traditional gels and NaOH solution dissolves lignin [32].Mixture design has not been applied in organic gels. Zanto et al. [33] used a full factorial design for studying interactions between pH, weight percent of solids, and pyrolysis temperature and their effects on carbon gels surface area, pore volume, and electrochemical double-layer capacitance. Mixture design is a statistics tool for modeling blends, where the variables are the components proportions. The proportions must always sum to 1, and thus the last component amount is dictated by the sum of all the others. The measured response is assumed to depend only on components amount. Mixture models allow interpolation to determine the mixture that will produce a desired maximum or minimum response [34].In this work models that predict the physical properties of lignin based organic xerogels are presented, identifying the reactive combinations that permit a maximum lignin incorporation with a good xerogel properties. This kind of lignin has not been used previously in organic xerogel formation, so the chemistry and limits for its employ are unknown. Models for properties of xerogels have not been proposed, although some systematic studies have been carried out in organic xerogels without lignin [35], tannin carbon xerogels [36], and carbon xerogels [37].


## 2. Experimental

### 2.1. Materials

Soda lignin was precipitated from sugar cane bagasse soda pulping black liquor by acidification with sulfuric acid at 98% until the pH of the resultant solution was close to 2. The precipitate was washed with water until the pH of the rinse was close to 6. Lignin was dried in an oven at 60°C for 24 h, and a dark-brown powder was recovered.Organic gels were synthesized from Resorcinol 99% (Panreac, research grade) and Formaldehyde 37% w/v stabilized with methanol (Panreac, research grade), solid NaOH (Merck, research grade), and deionized water.


### 2.2. Xerogels Preparation

The gels were prepared according to the method established by Pekala [1]; five components (lignin, resorcinol, formaldehyde, water, and NaOH) were mixed in a magnetic stirrer at room temperature and then transferred into a glass vial (10 mL). The vial was sealed and then was put into a water bath (85°C) to polymerize for five days. The gels were retired from the vial and were cut into cylindrical pieces and immersed in pure ethanol during three days; the solvent was replaced every day. Drying was carried out at 40°C for 48 h.The study of the effect of lignin addition on xerogels was conducted in two stages; first step was an extreme vertices mixing design (EV), which will study the effects of the five components in twenty runs. Fraction levels are listed in Table1 and were based on previous papers that evaluated lignin addition on aerogels and cryogels [12, 13, 15]. The matrix design is shown in Table 2, along with pH, bulk density, and shrinkage results.Table 1
Components levels in mass, first, and second design.
Component
EV
DO
Low level
High level
Low level
High level
Resorcinol
0.04
0.3
0.23a
0.23a
Lignin
0.004
0.03
0.0315
0.14
Formaldehyde
0.08
0.2
0.17a
0.17a
Water
0.45
0.8
0.456
0.56
NaOH
0.0003
0.0005
0.0004
0.0035
aFixed values from EV.Table 2
Matrix and results for extreme vertices mixing design (mass fraction).
Number
R
L
F
C
W
pH
ρ
b (g/cm3)
Rs (%)
1
0.04
0.004
0.08
0.0003
0.8757
6.6
0.795
59.77
2
0.3
0.004
0.08
0.0003
0.6157
5.87
nma
42.35
3
0.04
0.03
0.08
0.0003
0.8497
5.15
ngb
ngb
4
0.3
0.03
0.08
0.0003
0.5897
4.32
1.129
42.56
5
0.04
0.004
0.2
0.0003
0.7557
6.53
0.881
59.18
6
0.3
0.004
0.2
0.0003
0.4957
5.8
0.547
4.86
7
0.04
0.03
0.2
0.0003
0.7297
4.86
ngb
ngb
8
0.3
0.03
0.2
0.0005
0.4695
4.84
0.543
4.29
9
0.3
0.03
0.2
0.0003
0.4697
4.36
0.584
4.98
10
0.04
0.004
0.08
0.02
0.856
8.47
nma
52.87
11
0.3
0.004
0.08
0.02
0.596
7.85
0.656
35.77
12
0.04
0.03
0.08
0.02
0.83
8.65
nma
49.17
13
0.3
0.03
0.1805
0.02
0.4695
7.64
1.091
20.69
14
0.3
0.03
0.08
0.02
0.57
7.73
0.770
35.05
15
0.04
0.004
0.2
0.02
0.736
8.53
nma
54.24
16
0.3
0.0105
0.2
0.02
0.4695
7.17
1.098
22.44
17
0.3
0.004
0.2
0.02
0.476
7.15
1.151
22.23
18
0.2805
0.03
0.2
0.02
0.4695
7.15
1.188
22.70
19
0.04
0.03
0.2
0.02
0.71
8.2
nma
54.18
20
0.04
0.004
0.08
0.0003
0.8757
6.25
0.877
59.04
anm: not measurable; bng: not gel formation.A second mixing design was performed, based on those previous results, to obtain more information in the region with best gel formation. For maximum accuracy in the estimating regression coefficients, a D-Optimal (DO) mixing design was created to study the effect of lignin (L), water (W), and NaOH (C) on gels properties, for this design the mass fraction of resorcinol (R) and formaldehyde (F) were fixed, Table 1. Both designs were analyzed with Statgraphics Centurion XVI Version 16.1.18.


### 2.3. Characterization Methods

#### 2.3.1. Lignin Molecular Weight

Lignin molecular weight distribution was determined by size exclusion chromatography (SEC) in a Sephadex G-75 column (57 cm × 1.8 cm) eluted at 1 mL/min with 0.5 M sodium hydroxide using an AKTA 10 GE chromatograph set with a UV detector fixed at 280 nm. Inject 1 mL of sample at a concentration of 1 mg/mL. To allow the calculation of molecular weight (Mw), a calibration of the chromatographic column was performed with proteins of known molecular weight: albumin (66 kDa), carbonic anhydrase (29 kDa), cytochrome c (12.4 kDa), aprotinin (6.5 kDa), and acetone (28 Da) [38].


#### 2.3.2. Lignin and Xerogels Functional Groups

Lignin and some xerogels were analyzed by Total Attenuated Reflectance (ATR). All spectra were constructed at the region from 4000 to 400 cm−1 with a resolution of 4 cm−1 and 64 scans. For ATR was used a FTIR spectrometer (Nicolet 6700) equipped with an ATR crystal in type IIA diamond mounted on tungsten carbide. Diamond ATR has a sampling area of approximately 0.5 mm2, which applies a constant pressure to each sample.


#### 2.3.3. Solubility Test

It was performed to some xerogels with lignin and one without lignin. 25 mL of a pH 12 solution was added to 0.1 g of sample (dry basis). The mixture was shaken for 24 h at 22°C. Then it was filtered and the lignin concentration in the liquid was measured with a UV-1800 spectrometer (Shimadzu) at 280 nm where maximum is observed. Lignin concentration was calculated based on a calibration curve established with a series of lignin solution with differing concentrations.


#### 2.3.4. Scanning Electron Microscopy (SEM)

Some samples were observed in a microscope SEM-EDX Hitachi S-3400 N to compare their morphology. It was performed at low voltage, especial mode of operation for nonconducting materials.


#### 2.3.5. Xerogels Density, Porosity and Pore Texture

Bulk density,ρ
b (g/cm3), was estimated by direct measures of monolith weight and volume. Skeletal density, ρ (g/cm3), was measured with a helium pycnometry (Accupyc II 1340 Micromeritics, USA). Radial shrinkage, Rs (%), was determined measuring the monolith diameter before and after drying and the overall porosity, ε (%), was calculated from skeletal and bulk densities as ε
=
1
-
ρ
/
ρ
b.Specific surface area,S
BET, was determined by the BET method [39], using a gas sorption system (Quantachrome Instruments, USA) after outgassing samples overnight under high vacuum. The mesopore volume, V
meso  BJH (cm3/g), was calculated from Barrett-Joyner-Halenda (BJH) equation applied to the isotherm desorption branch [40]; and total pore volume, V
0.95 (cm3/g), was the volume of liquid nitrogen adsorbed at a relative pressure P
/
P
0
=
0.95 [41].


## 2.1. Materials

Soda lignin was precipitated from sugar cane bagasse soda pulping black liquor by acidification with sulfuric acid at 98% until the pH of the resultant solution was close to 2. The precipitate was washed with water until the pH of the rinse was close to 6. Lignin was dried in an oven at 60°C for 24 h, and a dark-brown powder was recovered.Organic gels were synthesized from Resorcinol 99% (Panreac, research grade) and Formaldehyde 37% w/v stabilized with methanol (Panreac, research grade), solid NaOH (Merck, research grade), and deionized water.


## 2.2. Xerogels Preparation

The gels were prepared according to the method established by Pekala [1]; five components (lignin, resorcinol, formaldehyde, water, and NaOH) were mixed in a magnetic stirrer at room temperature and then transferred into a glass vial (10 mL). The vial was sealed and then was put into a water bath (85°C) to polymerize for five days. The gels were retired from the vial and were cut into cylindrical pieces and immersed in pure ethanol during three days; the solvent was replaced every day. Drying was carried out at 40°C for 48 h.The study of the effect of lignin addition on xerogels was conducted in two stages; first step was an extreme vertices mixing design (EV), which will study the effects of the five components in twenty runs. Fraction levels are listed in Table1 and were based on previous papers that evaluated lignin addition on aerogels and cryogels [12, 13, 15]. The matrix design is shown in Table 2, along with pH, bulk density, and shrinkage results.Table 1
Components levels in mass, first, and second design.
Component
EV
DO
Low level
High level
Low level
High level
Resorcinol
0.04
0.3
0.23a
0.23a
Lignin
0.004
0.03
0.0315
0.14
Formaldehyde
0.08
0.2
0.17a
0.17a
Water
0.45
0.8
0.456
0.56
NaOH
0.0003
0.0005
0.0004
0.0035
aFixed values from EV.Table 2
Matrix and results for extreme vertices mixing design (mass fraction).
Number
R
L
F
C
W
pH
ρ
b (g/cm3)
Rs (%)
1
0.04
0.004
0.08
0.0003
0.8757
6.6
0.795
59.77
2
0.3
0.004
0.08
0.0003
0.6157
5.87
nma
42.35
3
0.04
0.03
0.08
0.0003
0.8497
5.15
ngb
ngb
4
0.3
0.03
0.08
0.0003
0.5897
4.32
1.129
42.56
5
0.04
0.004
0.2
0.0003
0.7557
6.53
0.881
59.18
6
0.3
0.004
0.2
0.0003
0.4957
5.8
0.547
4.86
7
0.04
0.03
0.2
0.0003
0.7297
4.86
ngb
ngb
8
0.3
0.03
0.2
0.0005
0.4695
4.84
0.543
4.29
9
0.3
0.03
0.2
0.0003
0.4697
4.36
0.584
4.98
10
0.04
0.004
0.08
0.02
0.856
8.47
nma
52.87
11
0.3
0.004
0.08
0.02
0.596
7.85
0.656
35.77
12
0.04
0.03
0.08
0.02
0.83
8.65
nma
49.17
13
0.3
0.03
0.1805
0.02
0.4695
7.64
1.091
20.69
14
0.3
0.03
0.08
0.02
0.57
7.73
0.770
35.05
15
0.04
0.004
0.2
0.02
0.736
8.53
nma
54.24
16
0.3
0.0105
0.2
0.02
0.4695
7.17
1.098
22.44
17
0.3
0.004
0.2
0.02
0.476
7.15
1.151
22.23
18
0.2805
0.03
0.2
0.02
0.4695
7.15
1.188
22.70
19
0.04
0.03
0.2
0.02
0.71
8.2
nma
54.18
20
0.04
0.004
0.08
0.0003
0.8757
6.25
0.877
59.04
anm: not measurable; bng: not gel formation.A second mixing design was performed, based on those previous results, to obtain more information in the region with best gel formation. For maximum accuracy in the estimating regression coefficients, a D-Optimal (DO) mixing design was created to study the effect of lignin (L), water (W), and NaOH (C) on gels properties, for this design the mass fraction of resorcinol (R) and formaldehyde (F) were fixed, Table 1. Both designs were analyzed with Statgraphics Centurion XVI Version 16.1.18.


## 2.3. Characterization Methods

### 2.3.1. Lignin Molecular Weight

Lignin molecular weight distribution was determined by size exclusion chromatography (SEC) in a Sephadex G-75 column (57 cm × 1.8 cm) eluted at 1 mL/min with 0.5 M sodium hydroxide using an AKTA 10 GE chromatograph set with a UV detector fixed at 280 nm. Inject 1 mL of sample at a concentration of 1 mg/mL. To allow the calculation of molecular weight (Mw), a calibration of the chromatographic column was performed with proteins of known molecular weight: albumin (66 kDa), carbonic anhydrase (29 kDa), cytochrome c (12.4 kDa), aprotinin (6.5 kDa), and acetone (28 Da) [38].


### 2.3.2. Lignin and Xerogels Functional Groups

Lignin and some xerogels were analyzed by Total Attenuated Reflectance (ATR). All spectra were constructed at the region from 4000 to 400 cm−1 with a resolution of 4 cm−1 and 64 scans. For ATR was used a FTIR spectrometer (Nicolet 6700) equipped with an ATR crystal in type IIA diamond mounted on tungsten carbide. Diamond ATR has a sampling area of approximately 0.5 mm2, which applies a constant pressure to each sample.


### 2.3.3. Solubility Test

It was performed to some xerogels with lignin and one without lignin. 25 mL of a pH 12 solution was added to 0.1 g of sample (dry basis). The mixture was shaken for 24 h at 22°C. Then it was filtered and the lignin concentration in the liquid was measured with a UV-1800 spectrometer (Shimadzu) at 280 nm where maximum is observed. Lignin concentration was calculated based on a calibration curve established with a series of lignin solution with differing concentrations.


### 2.3.4. Scanning Electron Microscopy (SEM)

Some samples were observed in a microscope SEM-EDX Hitachi S-3400 N to compare their morphology. It was performed at low voltage, especial mode of operation for nonconducting materials.


### 2.3.5. Xerogels Density, Porosity and Pore Texture

Bulk density,ρ
b (g/cm3), was estimated by direct measures of monolith weight and volume. Skeletal density, ρ (g/cm3), was measured with a helium pycnometry (Accupyc II 1340 Micromeritics, USA). Radial shrinkage, Rs (%), was determined measuring the monolith diameter before and after drying and the overall porosity, ε (%), was calculated from skeletal and bulk densities as ε
=
1
-
ρ
/
ρ
b.Specific surface area,S
BET, was determined by the BET method [39], using a gas sorption system (Quantachrome Instruments, USA) after outgassing samples overnight under high vacuum. The mesopore volume, V
meso  BJH (cm3/g), was calculated from Barrett-Joyner-Halenda (BJH) equation applied to the isotherm desorption branch [40]; and total pore volume, V
0.95 (cm3/g), was the volume of liquid nitrogen adsorbed at a relative pressure P
/
P
0
=
0.95 [41].


## 2.3.1. Lignin Molecular Weight

Lignin molecular weight distribution was determined by size exclusion chromatography (SEC) in a Sephadex G-75 column (57 cm × 1.8 cm) eluted at 1 mL/min with 0.5 M sodium hydroxide using an AKTA 10 GE chromatograph set with a UV detector fixed at 280 nm. Inject 1 mL of sample at a concentration of 1 mg/mL. To allow the calculation of molecular weight (Mw), a calibration of the chromatographic column was performed with proteins of known molecular weight: albumin (66 kDa), carbonic anhydrase (29 kDa), cytochrome c (12.4 kDa), aprotinin (6.5 kDa), and acetone (28 Da) [38].


## 2.3.2. Lignin and Xerogels Functional Groups

Lignin and some xerogels were analyzed by Total Attenuated Reflectance (ATR). All spectra were constructed at the region from 4000 to 400 cm−1 with a resolution of 4 cm−1 and 64 scans. For ATR was used a FTIR spectrometer (Nicolet 6700) equipped with an ATR crystal in type IIA diamond mounted on tungsten carbide. Diamond ATR has a sampling area of approximately 0.5 mm2, which applies a constant pressure to each sample.


## 2.3.3. Solubility Test

It was performed to some xerogels with lignin and one without lignin. 25 mL of a pH 12 solution was added to 0.1 g of sample (dry basis). The mixture was shaken for 24 h at 22°C. Then it was filtered and the lignin concentration in the liquid was measured with a UV-1800 spectrometer (Shimadzu) at 280 nm where maximum is observed. Lignin concentration was calculated based on a calibration curve established with a series of lignin solution with differing concentrations.


## 2.3.4. Scanning Electron Microscopy (SEM)

Some samples were observed in a microscope SEM-EDX Hitachi S-3400 N to compare their morphology. It was performed at low voltage, especial mode of operation for nonconducting materials.


## 2.3.5. Xerogels Density, Porosity and Pore Texture

Bulk density,ρ
b (g/cm3), was estimated by direct measures of monolith weight and volume. Skeletal density, ρ (g/cm3), was measured with a helium pycnometry (Accupyc II 1340 Micromeritics, USA). Radial shrinkage, Rs (%), was determined measuring the monolith diameter before and after drying and the overall porosity, ε (%), was calculated from skeletal and bulk densities as ε
=
1
-
ρ
/
ρ
b.Specific surface area,S
BET, was determined by the BET method [39], using a gas sorption system (Quantachrome Instruments, USA) after outgassing samples overnight under high vacuum. The mesopore volume, V
meso  BJH (cm3/g), was calculated from Barrett-Joyner-Halenda (BJH) equation applied to the isotherm desorption branch [40]; and total pore volume, V
0.95 (cm3/g), was the volume of liquid nitrogen adsorbed at a relative pressure P
/
P
0
=
0.95 [41].


## 3. Results and Discussions

### 3.1. Lignin Molecular Weight

Figure1 shows lignin molecular weight distribution. Two peaks are observed: one near 4000 g/mol and another smaller in 27000 g/mol; it is similar to molecular weight distribution of wheat straw lignin [42]. Lignin has a weight average molecular weight (Mw) of 6492 g/mol and a number average molecular weight (Mn) of 3191.44 g/mol; Mw obtained is higher than lignin-carbohydrate complexes Mw that have values between 600 g/mol and 1500 g/mol. Common nonwood lignins have Mw between 1100 g/mol and 2100 g/mol and analytical lignins have Mw from 7700 g/mol to 8500 g/mol [19].Figure 1
Lignin molecular weight distribution.The intermediary value found in this work is due to the fact that lignin was precipitated from black liquor of soda pulping, where it was subjected to degradation reactions [19]; also it has a high amount of precipitated xylans fractions, which have a low molecular weight [43]. Dispersity index (Mw/Mn) is 2.03 and is similar with the values reported for lignins from agricultural waste [44].


### 3.2. Extreme Vertices Mixing Design for Xerogels Formulation

Design results are shown in Table2; in most cases there was gel formation, except for assays 3 and 7, corresponding to minimum R
/
L and minimum catalyst mass fraction. For assays 2, 10, 12, 15, and 19, although gel formation occurred, they cracked into small pieces because of the capillary forces during convective drying [45]; unfortunately for these xerogels, bulk density measure was not possible but in some of them were feasible to measure their shrinkage. Due to the few measurable bulk densities, it was not possible to adjust a model from this mixture design experiment.Table3 presents the ANOVA for radial shrinkage. Quadratic model was adjusted with high value of R
2
=
98.95 and P value < 0.05. Statistical data indicates that the regression models are adequate in predicting the xerogel shrinkage.Table 3
Statistical properties of variance analysis for the significance of regression models.
Property
Regression model
df
Sum of Squares
Mean Square
F-test
P value
R
2
Ajd.R
2-
Rs
Quadratic
14
6492.18
463.73
20.27
0.0151
98.95
94.07The model for shrinkage was (pseudocomponents mass fraction) as follows:(1)
Rs
=
-
75.3534
∗
R
-
6132.77
∗
L
-
279.986
∗
F
+
48787.5
∗
C
+
60.8953
∗
W
+
6911.85
∗
R
∗
L
+
601.552
∗
R
∗
F
-
50837.1
∗
R
∗
C
+
287.138
∗
R
∗
W
+
6960.1
∗
L
∗
F
-
46658.2
∗
L
∗
C
+
6720.24
∗
L
∗
W
-
50093.1
∗
F
∗
C
+
461.248
∗
F
∗
W
-
51458.9
∗
C
∗
W
.Figures2(a) and 2(b) show the contour plots when R
/
F
=
1.5 and 1.4, respectively, for shrinkage. Contours zones are clearly differentiable and the model obtained from the statistical analysis shows a strong interaction between the different components. Higher lignin addition decreases xerogels shrinkage. There is a strong influence of the catalyst fraction on xerogels properties. The initial pH was found between 4.32 and 8.65 (Table 2) and xerogels with lower shrinkage and bulk density result when a mass ratio R
L
/
C was between 660 and 1100 (molar ratio 240–1100).Figure 2
Contour plots for shrinkage: (a)R
/
F mass ratio 1.5; (b) R
/
F mass ratio 1.4.
(a)
Resorcinol = 0.3, formaldehyde = 0.2
(b)
Resorcinol = 0.261, formaldehyde = 0.182Better xerogels formulations occur when the mass ratioR
/
F is between 1.4 and 1.66, which corresponds to the stoichiometric molar ratio (R
/
F around 0.5) and with 50% solid or more, regardless of the amount of added lignin. Lignin has less reactive sites per molecule than resorcinol [43, 46]; that is a reason for keeping the stoichiometric molar ratio R
/
F around 0.5.Water effect according to the model is directly proportional to the shrinkage. Three new experiments were made to verify the water effect in the xerogels (Table4), in these experiments, water mass fractions of 0.6, 0.65 and 0.7 were tested using the next reagents mass ratio: R
/
L
=
2.7, R
L
/
C
=
122 and R
L
/
F
=
1.5. It was observed that increasing water content in 16%, shrinkage is increased around 360% and lower xerogels bulk densities are obtained.Table 4
Water effect content in xerogels shrinkage and bulk density (mass fraction).
Number
R
L
F
C
W
pH
ρ
b (g/cm3)
Rs (%)
1
0.17801
0.065
0.155
0.00199
0.6
5.68
0.393
4.98
2
0.15625
0.057
0.135
0.00175
0.65
5.47
0.39
10
3
0.13352
0.047
0.118
0.00148
0.7
5.77
0.531
23.06Second mixing design was proposed to study the lignin, water, and catalyst effect on xerogels physical properties in detail. In the new design, resorcinol and formaldehyde mass fractions were fixed in 0.23 and 0.17, respectively, to establish aR
L
/
F ratio between 1.54 and 2.18 in order to ensure xerogels formation and dimensional stability.


### 3.3. D-Optimal Design

In this D-Optimal design the effect of lignin, water, and NaOH on xerogels physical properties in 16 runs with four central points was studied. Table5 listed the matrix experiment with physical results.Table 5
Matrix and results for D-Optimal design (mass fraction).
Number
R
L
F
C
W
pH
ρ
b (g/cm3)
Rs (%)
ε
S
BET (m2/g)
V
meso BJH (cm3/g)
1
0.23
0.035
0.17
0.00040
0.565
3.98
0.42
3.76
0.65
6.33
0.013
2
0.23
0.087
0.17
0.00195
0.512
4.97
0.49
3.42
0.60
41.35
0.104
3
0.23
0.140
0.17
0.00040
0.460
3.19
0.55
3.70
0.55
16.28
0.048
4
0.23
0.140
0.17
0.00040
0.460
3.14
0.56
4.33
0.55
15.47
0.045
5
0.23
0.061
0.17
0.00118
0.538
4.7
0.45
3.72
0.63
34.08
0.082
6
0.23
0.032
0.17
0.00350
0.565
7.19
0.90
25.35
0.30
405.59
0.166
7
0.23
0.087
0.17
0.00195
0.512
4.9
0.48
4.21
0.59
38.15
0.095
8
0.23
0.140
0.17
0.00350
0.457
5.21
0.58
4.22
0.52
30.11
0.093
9
0.23
0.140
0.17
0.00350
0.457
5.11
0.58
5.14
0.53
28.20
0.083
10
0.23
0.087
0.17
0.00195
0.512
4.93
0.49
3.76
0.58
40.07
0.143
11
0.23
0.113
0.17
0.00118
0.486
4.02
0.52
4.04
0.56
14.56
0.051
12
0.23
0.104
0.17
0.00247
0.494
5.08
0.53
4.07
0.55
40.41
0.097
13
0.23
0.069
0.17
0.00247
0.529
5.91
0.47
4.49
0.60
226.45
0.367
14
0.23
0.086
0.17
0.00350
0.511
6.51
0.50
4.65
0.58
273.05
0.355
15
0.23
0.035
0.17
0.00040
0.565
4.04
0.42
3.88
0.63
4.89
0.012
16
0.23
0.033
0.17
0.00195
0.565
6.88
0.58
13.75
0.51
451.86
0.843Table6 shows the ANOVA for D-Optimal design. The P value for each model is less than 0.05 displaying a statistically significant relationship between properties and components with a confidence level of 95.0%.Table 6
Major statistical properties of variance analysis for the significance of regression models.
Property
Regression model
df
Sum of Squares
Mean Square
F-test
P value
R
2
Adj.R
2
S
BET
Cubic
9
326224
36247.2
46.37
0.0001
98.58
96.46
ρ
b
Cubic
9
0.18402
0.000216586
94.40
0.0000
99.30
98.25
Rs
Especial Cubic
6
475.452
79.242
57.82
0.0000
97.47
95.78
Porosity
Cubic
9
0.096156
0.010684
64.65
0.0000
98.98
97.45The best model for all variables was the cubic, except for radial shrinkage where it was especial cubic. They have the highest statisticsR
2 and P values <0.05. In these models second-order interactions are included and reflected the complex interactions between the components in xerogels synthesis, even more when they are made with biomolecules [47]. The adjusted models for response variables were (pseudocomponents mass fraction) as follows:(2)
S
BET
=
71.497
∗
L
+
58.2649
∗
W
+
7.32186
E7
∗
C
-
2004.33
∗
L
∗
W
-
1.11579
E8
∗
L
∗
C
-
1.11939
E8
∗
W
∗
C
+
7.72769
E7
∗
L
∗
W
∗
C
+
93.2093
∗
L
∗
W
∗
L
-
W
+
3.83999
E
7
∗
L
∗
C
∗
L
-
C
+
3.87966
E7
∗
W
∗
C
∗
W
-
C
,
ρ
b
=
0.528478
∗
L
+
0.418737
∗
W
-
22672.8
∗
C
+
0.449442
∗
L
∗
W
+
34654.3
∗
L
∗
C
+
34673.2
∗
W
∗
C
-
24051.3
∗
L
∗
W
∗
C
+
0.573578
∗
L
∗
W
∗
L
-
W
-
11997.8
∗
L
∗
C
∗
L
-
C
-
12001.2
∗
W
∗
C
∗
W
-
C
,
ε
=
0.563069
∗
L
+
0.6339
∗
W
+
10007.3
∗
C
-
0.124445
∗
L
∗
W
-
15243.6
∗
L
∗
C
-
15328.8
∗
W
∗
C
+
10589.9
∗
L
∗
W
∗
C
-
0.446082
∗
L
∗
W
∗
L
-
W
+
5240.46
∗
L
∗
C
∗
L
-
C
+
5319.45
∗
W
∗
C
∗
W
-
C
,
Rs
=
4.45934
∗
L
+
3.5636
∗
W
+
1001.2
∗
C
-
3.76034
∗
L
∗
W
-
1007.31
∗
L
∗
C
-
239.831
∗
W
∗
C
-
1434.31
∗
L
∗
W
∗
C
.


#### 3.3.1. Specific Surface Area Analysis

S
BET were obtained between 16 and 452 m2/g. Maximum value reached for S
BET occurred when NaOH pseudocomponent is 0.013889, R
L
/
C 134.9, R
/
L 6.96, and initial pH 6.88. This S
BET is similar to specific surface area obtained in organic xerogels without lignin addition [30, 48–50], or superior [51]. Job et al. (2004) [30] proposed that when pH increases from 5.45 to 7.35 xerogels turn from micro/macroporous material to microporous material and pass through a maximum, 510 m2/g, when pH is equal to 6.50. In this work, better S
BET development takes place when pH goes from 5.91 to 6.88 (Figure 3). A direct correlation is observed between C mass fraction and pH; however the lignin addition produces a reduction on initial pH (Figure 4) due to hydroxyl and carboxyl groups present in its structure [52].Figure 3
S
BET in function of pH.Figure 4
Mixture pH before cured in function ofC mass fraction: ●  L mass fraction from 0.032 to 0.069; ▲  L mass fraction from 0.087 to 0.140.Figure5 shows the surface plot for S
BET with L and C in pseudocomponents. Maximum values for S
BET occurred when NaOH pseudocomponent is around 0.027 to any lignin fraction and correspond to R
L
/
C mass ratios values between 74 and 105; these values are related to initial pH value between 5.91 and 7.19.Figure 5
Xerogels specific surface area in function of their composition.Higher lignin content decreasesS
BET; its effect is greater when the catalyst is in low levels. Chen et al. [12, 13] obtained similar results in lignin-resorcinol-formaldehyde aerogels; an R
/
L ratio value of 1 reduces S
BET from 553 m2/g (without lignin) up to 191 m2/g.S
BET results obtained in this study are similar to values reported by Grishechko et al. (2013) [15] in the cryogels and aerogels formulations with phenol and lignin; a maximum S
BET value was 500 m2/g with a phenol/lignin ratio of 1 at higher initial pH. Tannins and lignin were used for aerogel production [14]; aerogels with higher S
BET, ~475 m2/g, had a tannin-lignin/formaldehyde and a tannin/lignin mass ratio of 1.25 and 1.28, respectively. In general, cross-linking in lignin is poor because its molecular size does not allow a good packing for micropore and mesopore formation and mainly macropores were produced [14]. Nonwood lignins are more reactive than hard-wood lignins, but lignin used in this work has a higher molecular weight; no purifications process has been used, so its reactive sites are lower [46] and it could be a reason for a low S
BET in xerogels compared with other works.Linear correlation betweenS
BET and micropore volume is found; therefore all analyses that were concluded for S
BET are valid for the micropores volume. At pH 7.16 (S
BET~400 m2/g) there are more micropores than mesopores; this result means that a high pH mainly micropores are formed and it is in accordance with previous works [30].


#### 3.3.2. Shrinkage and Bulk Density Analysis

Bulk density varies from 0.42 g/cm3 to 0.9 g/cm3; minimum value corresponds to the higher water mass fraction used. Radial shrinkages are between 3.42% and 25.35%. The lowest values are those with low catalyst. Bulk density and shrinkage are directly proportional as could be observed in Figures 6 and 7. Photo presented in Figure 8 shows different sample morphologies from the D-Optimal design assays.Figure 6
Xerogels bulk density in function of their composition.Figure 7
Xerogels shrinkage in function of their composition.Figure 8
DO design samples photos.Shrinkage is increased at high catalyst content. When the initial solution’s pH is higher than 6.5 micropores formation is promoted, so the capillary pressure during the drying process is superior and shrinkage is augmented [48, 53]. When there is a high shrinkage more micropores are formed and mesopores are reduced [15]. The small pore radius formation is associated with the reaction rates of a parallel system of reaction, addition, and condensation. At high pH, addition reaction is promoted and methylol derivatives that form small clusters are created [50]. For a high L
R
F mass fraction, higher than 35%, gelation ability is increased and also the formation of pores with smaller radius [13]. Shrinkage has a strong relation with R
L
/
C; small values occurred when R
L
/
C was higher than 100 without any relationship with lignin or water quantity. In this point pH is around five, Figure 9.Figure 9
Radial shrinkage versusR
L
/
C in both designs, when R
/
F mass ratio is around 1.6.According to Figures6 and 7, lignin contributes to decreasing both properties; one reason is that lignin is a hard molecule; its rigid character is conjugated with gels based on hard nodules with a lower shrinkage [14]. Lignin dissolution is lower at low catalyst levels; when lignin is not dissolved its reactivity decreases and could act as filler.Skeletal density has an average value of1.20
±
0.03 g/cm3; this value is the lowest for that reported for aerogels and cryogels [14, 15, 48]; it mainly could be for differences in composition and also could be due to lignin low skeletal density, 1.27 g/cm3.Overall porosity was found between 0.3 and 0.65. In Figure10 it could be observed how porosity has an inverse relationship with the amount of lignin and catalyst, opposed to the observed for the bulk density.Figure 10
Xerogels porosity in function of their composition.


### 3.4. FTIR Characterization

Figure11 shows the FTIR spectra of lignin and some of the xerogels obtained and in Table 7 the peaks present at lignin and xerogels are summarized. Lignin characteristic peaks are observed in 1510 cm−1 and 1594 cm−1 corresponding to the aromatic vibration guaiacyl and syringyl units, respectively. Also the peaks for expected functional groups are observed: a broad band from 3000 to 3500 cm−1 are hydroxyls; methylene and methyl groups from 2900 to 2950 cm−1 and from 1460 to 1420 cm−1; methyl groups at 1375 cm−1 and, methylene and hydroxyl groups at 1330 cm−1. In 2850 cm−1 there are aromatic methoxy groups. The presence of C=O at 1720 cm−1 is probably due to the form of precipitation of lignin in which the contact with acid causes partial degradation of the hemicelluloses present and some lignin. Carbonyls at 1214 cm−1 come from guaiacyl units. Additionally, C–O bonds are evidenced at 1260 (from guaiacyl units), 1220, 1080, and 1034 cm−1. Guaiacyl C–H and syringyl C–H evidence at 1140 cm−1 and at 854 cm−1 C–H out of plane vibrations of the guaiacyl units are shown [15, 43].Table 7
Position and attribution of the IR absorption bands for lignin and xerogels.
Wavenumber (cm1)
Band attribution
3412–3012
ν (OH)
2850–3006
ν
a
s (CH2)
2850
ν (CH2) in aromatic methoxy groups
1710s
ν (C=O) not conjugated
1670s
ν (C=O) conjugated ketonesl
1594–1613
δ (C=C) aromatic rings
1510
δ (C=C) aromatic ringsl
1460
δ (CH2) and (CH3)x
1420
δ (scissors) (CH2) and (CH3)l
1375s
δ
s
y (CH3)
1330s
γ (CH2) and δ (O–H)l
1262
ν (C–O)
1220
ν (C–O)
1080
ν (C–O) in secondary alcohols and aliphatic ethers
1034
ν
s
y (C–O–C)l
810–902
δ (C–H) out of plane of aromatic rings and δ (C–C) in ringsl
ν: stretch; δ: deformation; γ: rocking; sy: symmetrical; as: asymmetrical; s: shoulder; l: exclusive peak for lignin; x: exclusive peak for xerogels.Figure 11
Lignin and some organic xerogels FTIR.In xerogels, the broad band of hydroxyls at 3000 to 3500 cm−1 remains, indicating that free hydroxyl groups still exist. For all xerogels obtained, a peak at 1594 cm−1 can be observed in all spectra, while the peak at 1510 cm−1 disappears; this could be because guaiacyl units from lignin are more reactive and participate in addition reactions. At 1460 cm−1, C–H deformation of methyl and methylene groups presents. Also the C–O bonds are observed. The absorption band at 1219 cm−1, stretching vibration of C–O–C, and the bending vibration of –CH2 at 1094 cm−1 reveal the three-dimensional network structure of xerogels [12].Additional evidence of the participation of lignin in condensation reactions during gelation is the decreasing or vanishing of methoxyl groups, primary alcohols, and the C=O bond is still observed in the spectrum in comparison with xerogels without lignin [54]. A broadening of the peaks at wavenumbers lower than 2000 cm−1 is observed from DO14 (xerogel with higher lignin content) to EV6, indicating a higher level of cross-linking per unit volume [55]. Several researches had demonstrated lignin reactivity not only with FTIR but also with Nuclear Magnetic Resonance (NMR) whereorto andmeta positions of lignin aromatic ring can react with resorcinol to yield polymeric products [15, 25].In the SEM pictures (Figure12), changes in morphology among each sample are observed, exhibiting only one phase without lignin agglomerations. In sample DO9, lignin might contribute to forming large microspheres aggregates; on the other hand, in sample DO14 a surface similar to common xerogels is observed, based on roughly spherical nodules arranged in a random packing [15]. Xerogel without lignin exhibits a uniform surface, consequently from a low R
L
/
C ratio that contributes to forming a more compact structure.Figure 12
Some SEM micrographs (3000x).
(a)
Lignin
(b)
DO9
(c)
DO14
(d)
Xerogel without ligninSolubility assay results are listed in Table8. It would be expected that if lignin remains in xerogel matrix as filler, a pH 12 solution will solubilize all. But this is not the case; all solutions concentrations are lower than the calculated concentration obtained from the percentage of lignin in each dry xerogel. Although, xerogel without lignin has some solubility in pH 12 solutions, its contribution to the concentration is almost negligible. A linear correlation between lignin percentage and concentration also would be expected, but catalyst doses affect lignin dissolution in xerogels and its participation in reaction, so it must be taken in account.Table 8
Xerogels and lignin solubility in pH 12 solution.
Sample
L
C
x
C
U
V
280
n
m
(% dry basis)
(g/L)
(g/L)
0∗
0
0
0.0073
DO9
25.76
1.0303
0.0679
DO14
17.53
0.7010
0.1087
DO16
7.60
0.3039
0.0842
Lignin
100
4
3.8373
∗Xerogel prepared without lignin.


## 3.1. Lignin Molecular Weight

Figure1 shows lignin molecular weight distribution. Two peaks are observed: one near 4000 g/mol and another smaller in 27000 g/mol; it is similar to molecular weight distribution of wheat straw lignin [42]. Lignin has a weight average molecular weight (Mw) of 6492 g/mol and a number average molecular weight (Mn) of 3191.44 g/mol; Mw obtained is higher than lignin-carbohydrate complexes Mw that have values between 600 g/mol and 1500 g/mol. Common nonwood lignins have Mw between 1100 g/mol and 2100 g/mol and analytical lignins have Mw from 7700 g/mol to 8500 g/mol [19].Figure 1
Lignin molecular weight distribution.The intermediary value found in this work is due to the fact that lignin was precipitated from black liquor of soda pulping, where it was subjected to degradation reactions [19]; also it has a high amount of precipitated xylans fractions, which have a low molecular weight [43]. Dispersity index (Mw/Mn) is 2.03 and is similar with the values reported for lignins from agricultural waste [44].


## 3.2. Extreme Vertices Mixing Design for Xerogels Formulation

Design results are shown in Table2; in most cases there was gel formation, except for assays 3 and 7, corresponding to minimum R
/
L and minimum catalyst mass fraction. For assays 2, 10, 12, 15, and 19, although gel formation occurred, they cracked into small pieces because of the capillary forces during convective drying [45]; unfortunately for these xerogels, bulk density measure was not possible but in some of them were feasible to measure their shrinkage. Due to the few measurable bulk densities, it was not possible to adjust a model from this mixture design experiment.Table3 presents the ANOVA for radial shrinkage. Quadratic model was adjusted with high value of R
2
=
98.95 and P value < 0.05. Statistical data indicates that the regression models are adequate in predicting the xerogel shrinkage.Table 3
Statistical properties of variance analysis for the significance of regression models.
Property
Regression model
df
Sum of Squares
Mean Square
F-test
P value
R
2
Ajd.R
2-
Rs
Quadratic
14
6492.18
463.73
20.27
0.0151
98.95
94.07The model for shrinkage was (pseudocomponents mass fraction) as follows:(1)
Rs
=
-
75.3534
∗
R
-
6132.77
∗
L
-
279.986
∗
F
+
48787.5
∗
C
+
60.8953
∗
W
+
6911.85
∗
R
∗
L
+
601.552
∗
R
∗
F
-
50837.1
∗
R
∗
C
+
287.138
∗
R
∗
W
+
6960.1
∗
L
∗
F
-
46658.2
∗
L
∗
C
+
6720.24
∗
L
∗
W
-
50093.1
∗
F
∗
C
+
461.248
∗
F
∗
W
-
51458.9
∗
C
∗
W
.Figures2(a) and 2(b) show the contour plots when R
/
F
=
1.5 and 1.4, respectively, for shrinkage. Contours zones are clearly differentiable and the model obtained from the statistical analysis shows a strong interaction between the different components. Higher lignin addition decreases xerogels shrinkage. There is a strong influence of the catalyst fraction on xerogels properties. The initial pH was found between 4.32 and 8.65 (Table 2) and xerogels with lower shrinkage and bulk density result when a mass ratio R
L
/
C was between 660 and 1100 (molar ratio 240–1100).Figure 2
Contour plots for shrinkage: (a)R
/
F mass ratio 1.5; (b) R
/
F mass ratio 1.4.
(a)
Resorcinol = 0.3, formaldehyde = 0.2
(b)
Resorcinol = 0.261, formaldehyde = 0.182Better xerogels formulations occur when the mass ratioR
/
F is between 1.4 and 1.66, which corresponds to the stoichiometric molar ratio (R
/
F around 0.5) and with 50% solid or more, regardless of the amount of added lignin. Lignin has less reactive sites per molecule than resorcinol [43, 46]; that is a reason for keeping the stoichiometric molar ratio R
/
F around 0.5.Water effect according to the model is directly proportional to the shrinkage. Three new experiments were made to verify the water effect in the xerogels (Table4), in these experiments, water mass fractions of 0.6, 0.65 and 0.7 were tested using the next reagents mass ratio: R
/
L
=
2.7, R
L
/
C
=
122 and R
L
/
F
=
1.5. It was observed that increasing water content in 16%, shrinkage is increased around 360% and lower xerogels bulk densities are obtained.Table 4
Water effect content in xerogels shrinkage and bulk density (mass fraction).
Number
R
L
F
C
W
pH
ρ
b (g/cm3)
Rs (%)
1
0.17801
0.065
0.155
0.00199
0.6
5.68
0.393
4.98
2
0.15625
0.057
0.135
0.00175
0.65
5.47
0.39
10
3
0.13352
0.047
0.118
0.00148
0.7
5.77
0.531
23.06Second mixing design was proposed to study the lignin, water, and catalyst effect on xerogels physical properties in detail. In the new design, resorcinol and formaldehyde mass fractions were fixed in 0.23 and 0.17, respectively, to establish aR
L
/
F ratio between 1.54 and 2.18 in order to ensure xerogels formation and dimensional stability.


## 3.3. D-Optimal Design

In this D-Optimal design the effect of lignin, water, and NaOH on xerogels physical properties in 16 runs with four central points was studied. Table5 listed the matrix experiment with physical results.Table 5
Matrix and results for D-Optimal design (mass fraction).
Number
R
L
F
C
W
pH
ρ
b (g/cm3)
Rs (%)
ε
S
BET (m2/g)
V
meso BJH (cm3/g)
1
0.23
0.035
0.17
0.00040
0.565
3.98
0.42
3.76
0.65
6.33
0.013
2
0.23
0.087
0.17
0.00195
0.512
4.97
0.49
3.42
0.60
41.35
0.104
3
0.23
0.140
0.17
0.00040
0.460
3.19
0.55
3.70
0.55
16.28
0.048
4
0.23
0.140
0.17
0.00040
0.460
3.14
0.56
4.33
0.55
15.47
0.045
5
0.23
0.061
0.17
0.00118
0.538
4.7
0.45
3.72
0.63
34.08
0.082
6
0.23
0.032
0.17
0.00350
0.565
7.19
0.90
25.35
0.30
405.59
0.166
7
0.23
0.087
0.17
0.00195
0.512
4.9
0.48
4.21
0.59
38.15
0.095
8
0.23
0.140
0.17
0.00350
0.457
5.21
0.58
4.22
0.52
30.11
0.093
9
0.23
0.140
0.17
0.00350
0.457
5.11
0.58
5.14
0.53
28.20
0.083
10
0.23
0.087
0.17
0.00195
0.512
4.93
0.49
3.76
0.58
40.07
0.143
11
0.23
0.113
0.17
0.00118
0.486
4.02
0.52
4.04
0.56
14.56
0.051
12
0.23
0.104
0.17
0.00247
0.494
5.08
0.53
4.07
0.55
40.41
0.097
13
0.23
0.069
0.17
0.00247
0.529
5.91
0.47
4.49
0.60
226.45
0.367
14
0.23
0.086
0.17
0.00350
0.511
6.51
0.50
4.65
0.58
273.05
0.355
15
0.23
0.035
0.17
0.00040
0.565
4.04
0.42
3.88
0.63
4.89
0.012
16
0.23
0.033
0.17
0.00195
0.565
6.88
0.58
13.75
0.51
451.86
0.843Table6 shows the ANOVA for D-Optimal design. The P value for each model is less than 0.05 displaying a statistically significant relationship between properties and components with a confidence level of 95.0%.Table 6
Major statistical properties of variance analysis for the significance of regression models.
Property
Regression model
df
Sum of Squares
Mean Square
F-test
P value
R
2
Adj.R
2
S
BET
Cubic
9
326224
36247.2
46.37
0.0001
98.58
96.46
ρ
b
Cubic
9
0.18402
0.000216586
94.40
0.0000
99.30
98.25
Rs
Especial Cubic
6
475.452
79.242
57.82
0.0000
97.47
95.78
Porosity
Cubic
9
0.096156
0.010684
64.65
0.0000
98.98
97.45The best model for all variables was the cubic, except for radial shrinkage where it was especial cubic. They have the highest statisticsR
2 and P values <0.05. In these models second-order interactions are included and reflected the complex interactions between the components in xerogels synthesis, even more when they are made with biomolecules [47]. The adjusted models for response variables were (pseudocomponents mass fraction) as follows:(2)
S
BET
=
71.497
∗
L
+
58.2649
∗
W
+
7.32186
E7
∗
C
-
2004.33
∗
L
∗
W
-
1.11579
E8
∗
L
∗
C
-
1.11939
E8
∗
W
∗
C
+
7.72769
E7
∗
L
∗
W
∗
C
+
93.2093
∗
L
∗
W
∗
L
-
W
+
3.83999
E
7
∗
L
∗
C
∗
L
-
C
+
3.87966
E7
∗
W
∗
C
∗
W
-
C
,
ρ
b
=
0.528478
∗
L
+
0.418737
∗
W
-
22672.8
∗
C
+
0.449442
∗
L
∗
W
+
34654.3
∗
L
∗
C
+
34673.2
∗
W
∗
C
-
24051.3
∗
L
∗
W
∗
C
+
0.573578
∗
L
∗
W
∗
L
-
W
-
11997.8
∗
L
∗
C
∗
L
-
C
-
12001.2
∗
W
∗
C
∗
W
-
C
,
ε
=
0.563069
∗
L
+
0.6339
∗
W
+
10007.3
∗
C
-
0.124445
∗
L
∗
W
-
15243.6
∗
L
∗
C
-
15328.8
∗
W
∗
C
+
10589.9
∗
L
∗
W
∗
C
-
0.446082
∗
L
∗
W
∗
L
-
W
+
5240.46
∗
L
∗
C
∗
L
-
C
+
5319.45
∗
W
∗
C
∗
W
-
C
,
Rs
=
4.45934
∗
L
+
3.5636
∗
W
+
1001.2
∗
C
-
3.76034
∗
L
∗
W
-
1007.31
∗
L
∗
C
-
239.831
∗
W
∗
C
-
1434.31
∗
L
∗
W
∗
C
.


### 3.3.1. Specific Surface Area Analysis

S
BET were obtained between 16 and 452 m2/g. Maximum value reached for S
BET occurred when NaOH pseudocomponent is 0.013889, R
L
/
C 134.9, R
/
L 6.96, and initial pH 6.88. This S
BET is similar to specific surface area obtained in organic xerogels without lignin addition [30, 48–50], or superior [51]. Job et al. (2004) [30] proposed that when pH increases from 5.45 to 7.35 xerogels turn from micro/macroporous material to microporous material and pass through a maximum, 510 m2/g, when pH is equal to 6.50. In this work, better S
BET development takes place when pH goes from 5.91 to 6.88 (Figure 3). A direct correlation is observed between C mass fraction and pH; however the lignin addition produces a reduction on initial pH (Figure 4) due to hydroxyl and carboxyl groups present in its structure [52].Figure 3
S
BET in function of pH.Figure 4
Mixture pH before cured in function ofC mass fraction: ●  L mass fraction from 0.032 to 0.069; ▲  L mass fraction from 0.087 to 0.140.Figure5 shows the surface plot for S
BET with L and C in pseudocomponents. Maximum values for S
BET occurred when NaOH pseudocomponent is around 0.027 to any lignin fraction and correspond to R
L
/
C mass ratios values between 74 and 105; these values are related to initial pH value between 5.91 and 7.19.Figure 5
Xerogels specific surface area in function of their composition.Higher lignin content decreasesS
BET; its effect is greater when the catalyst is in low levels. Chen et al. [12, 13] obtained similar results in lignin-resorcinol-formaldehyde aerogels; an R
/
L ratio value of 1 reduces S
BET from 553 m2/g (without lignin) up to 191 m2/g.S
BET results obtained in this study are similar to values reported by Grishechko et al. (2013) [15] in the cryogels and aerogels formulations with phenol and lignin; a maximum S
BET value was 500 m2/g with a phenol/lignin ratio of 1 at higher initial pH. Tannins and lignin were used for aerogel production [14]; aerogels with higher S
BET, ~475 m2/g, had a tannin-lignin/formaldehyde and a tannin/lignin mass ratio of 1.25 and 1.28, respectively. In general, cross-linking in lignin is poor because its molecular size does not allow a good packing for micropore and mesopore formation and mainly macropores were produced [14]. Nonwood lignins are more reactive than hard-wood lignins, but lignin used in this work has a higher molecular weight; no purifications process has been used, so its reactive sites are lower [46] and it could be a reason for a low S
BET in xerogels compared with other works.Linear correlation betweenS
BET and micropore volume is found; therefore all analyses that were concluded for S
BET are valid for the micropores volume. At pH 7.16 (S
BET~400 m2/g) there are more micropores than mesopores; this result means that a high pH mainly micropores are formed and it is in accordance with previous works [30].


### 3.3.2. Shrinkage and Bulk Density Analysis

Bulk density varies from 0.42 g/cm3 to 0.9 g/cm3; minimum value corresponds to the higher water mass fraction used. Radial shrinkages are between 3.42% and 25.35%. The lowest values are those with low catalyst. Bulk density and shrinkage are directly proportional as could be observed in Figures 6 and 7. Photo presented in Figure 8 shows different sample morphologies from the D-Optimal design assays.Figure 6
Xerogels bulk density in function of their composition.Figure 7
Xerogels shrinkage in function of their composition.Figure 8
DO design samples photos.Shrinkage is increased at high catalyst content. When the initial solution’s pH is higher than 6.5 micropores formation is promoted, so the capillary pressure during the drying process is superior and shrinkage is augmented [48, 53]. When there is a high shrinkage more micropores are formed and mesopores are reduced [15]. The small pore radius formation is associated with the reaction rates of a parallel system of reaction, addition, and condensation. At high pH, addition reaction is promoted and methylol derivatives that form small clusters are created [50]. For a high L
R
F mass fraction, higher than 35%, gelation ability is increased and also the formation of pores with smaller radius [13]. Shrinkage has a strong relation with R
L
/
C; small values occurred when R
L
/
C was higher than 100 without any relationship with lignin or water quantity. In this point pH is around five, Figure 9.Figure 9
Radial shrinkage versusR
L
/
C in both designs, when R
/
F mass ratio is around 1.6.According to Figures6 and 7, lignin contributes to decreasing both properties; one reason is that lignin is a hard molecule; its rigid character is conjugated with gels based on hard nodules with a lower shrinkage [14]. Lignin dissolution is lower at low catalyst levels; when lignin is not dissolved its reactivity decreases and could act as filler.Skeletal density has an average value of1.20
±
0.03 g/cm3; this value is the lowest for that reported for aerogels and cryogels [14, 15, 48]; it mainly could be for differences in composition and also could be due to lignin low skeletal density, 1.27 g/cm3.Overall porosity was found between 0.3 and 0.65. In Figure10 it could be observed how porosity has an inverse relationship with the amount of lignin and catalyst, opposed to the observed for the bulk density.Figure 10
Xerogels porosity in function of their composition.


## 3.3.1. Specific Surface Area Analysis

S
BET were obtained between 16 and 452 m2/g. Maximum value reached for S
BET occurred when NaOH pseudocomponent is 0.013889, R
L
/
C 134.9, R
/
L 6.96, and initial pH 6.88. This S
BET is similar to specific surface area obtained in organic xerogels without lignin addition [30, 48–50], or superior [51]. Job et al. (2004) [30] proposed that when pH increases from 5.45 to 7.35 xerogels turn from micro/macroporous material to microporous material and pass through a maximum, 510 m2/g, when pH is equal to 6.50. In this work, better S
BET development takes place when pH goes from 5.91 to 6.88 (Figure 3). A direct correlation is observed between C mass fraction and pH; however the lignin addition produces a reduction on initial pH (Figure 4) due to hydroxyl and carboxyl groups present in its structure [52].Figure 3
S
BET in function of pH.Figure 4
Mixture pH before cured in function ofC mass fraction: ●  L mass fraction from 0.032 to 0.069; ▲  L mass fraction from 0.087 to 0.140.Figure5 shows the surface plot for S
BET with L and C in pseudocomponents. Maximum values for S
BET occurred when NaOH pseudocomponent is around 0.027 to any lignin fraction and correspond to R
L
/
C mass ratios values between 74 and 105; these values are related to initial pH value between 5.91 and 7.19.Figure 5
Xerogels specific surface area in function of their composition.Higher lignin content decreasesS
BET; its effect is greater when the catalyst is in low levels. Chen et al. [12, 13] obtained similar results in lignin-resorcinol-formaldehyde aerogels; an R
/
L ratio value of 1 reduces S
BET from 553 m2/g (without lignin) up to 191 m2/g.S
BET results obtained in this study are similar to values reported by Grishechko et al. (2013) [15] in the cryogels and aerogels formulations with phenol and lignin; a maximum S
BET value was 500 m2/g with a phenol/lignin ratio of 1 at higher initial pH. Tannins and lignin were used for aerogel production [14]; aerogels with higher S
BET, ~475 m2/g, had a tannin-lignin/formaldehyde and a tannin/lignin mass ratio of 1.25 and 1.28, respectively. In general, cross-linking in lignin is poor because its molecular size does not allow a good packing for micropore and mesopore formation and mainly macropores were produced [14]. Nonwood lignins are more reactive than hard-wood lignins, but lignin used in this work has a higher molecular weight; no purifications process has been used, so its reactive sites are lower [46] and it could be a reason for a low S
BET in xerogels compared with other works.Linear correlation betweenS
BET and micropore volume is found; therefore all analyses that were concluded for S
BET are valid for the micropores volume. At pH 7.16 (S
BET~400 m2/g) there are more micropores than mesopores; this result means that a high pH mainly micropores are formed and it is in accordance with previous works [30].


## 3.3.2. Shrinkage and Bulk Density Analysis

Bulk density varies from 0.42 g/cm3 to 0.9 g/cm3; minimum value corresponds to the higher water mass fraction used. Radial shrinkages are between 3.42% and 25.35%. The lowest values are those with low catalyst. Bulk density and shrinkage are directly proportional as could be observed in Figures 6 and 7. Photo presented in Figure 8 shows different sample morphologies from the D-Optimal design assays.Figure 6
Xerogels bulk density in function of their composition.Figure 7
Xerogels shrinkage in function of their composition.Figure 8
DO design samples photos.Shrinkage is increased at high catalyst content. When the initial solution’s pH is higher than 6.5 micropores formation is promoted, so the capillary pressure during the drying process is superior and shrinkage is augmented [48, 53]. When there is a high shrinkage more micropores are formed and mesopores are reduced [15]. The small pore radius formation is associated with the reaction rates of a parallel system of reaction, addition, and condensation. At high pH, addition reaction is promoted and methylol derivatives that form small clusters are created [50]. For a high L
R
F mass fraction, higher than 35%, gelation ability is increased and also the formation of pores with smaller radius [13]. Shrinkage has a strong relation with R
L
/
C; small values occurred when R
L
/
C was higher than 100 without any relationship with lignin or water quantity. In this point pH is around five, Figure 9.Figure 9
Radial shrinkage versusR
L
/
C in both designs, when R
/
F mass ratio is around 1.6.According to Figures6 and 7, lignin contributes to decreasing both properties; one reason is that lignin is a hard molecule; its rigid character is conjugated with gels based on hard nodules with a lower shrinkage [14]. Lignin dissolution is lower at low catalyst levels; when lignin is not dissolved its reactivity decreases and could act as filler.Skeletal density has an average value of1.20
±
0.03 g/cm3; this value is the lowest for that reported for aerogels and cryogels [14, 15, 48]; it mainly could be for differences in composition and also could be due to lignin low skeletal density, 1.27 g/cm3.Overall porosity was found between 0.3 and 0.65. In Figure10 it could be observed how porosity has an inverse relationship with the amount of lignin and catalyst, opposed to the observed for the bulk density.Figure 10
Xerogels porosity in function of their composition.


## 3.4. FTIR Characterization

Figure11 shows the FTIR spectra of lignin and some of the xerogels obtained and in Table 7 the peaks present at lignin and xerogels are summarized. Lignin characteristic peaks are observed in 1510 cm−1 and 1594 cm−1 corresponding to the aromatic vibration guaiacyl and syringyl units, respectively. Also the peaks for expected functional groups are observed: a broad band from 3000 to 3500 cm−1 are hydroxyls; methylene and methyl groups from 2900 to 2950 cm−1 and from 1460 to 1420 cm−1; methyl groups at 1375 cm−1 and, methylene and hydroxyl groups at 1330 cm−1. In 2850 cm−1 there are aromatic methoxy groups. The presence of C=O at 1720 cm−1 is probably due to the form of precipitation of lignin in which the contact with acid causes partial degradation of the hemicelluloses present and some lignin. Carbonyls at 1214 cm−1 come from guaiacyl units. Additionally, C–O bonds are evidenced at 1260 (from guaiacyl units), 1220, 1080, and 1034 cm−1. Guaiacyl C–H and syringyl C–H evidence at 1140 cm−1 and at 854 cm−1 C–H out of plane vibrations of the guaiacyl units are shown [15, 43].Table 7
Position and attribution of the IR absorption bands for lignin and xerogels.
Wavenumber (cm1)
Band attribution
3412–3012
ν (OH)
2850–3006
ν
a
s (CH2)
2850
ν (CH2) in aromatic methoxy groups
1710s
ν (C=O) not conjugated
1670s
ν (C=O) conjugated ketonesl
1594–1613
δ (C=C) aromatic rings
1510
δ (C=C) aromatic ringsl
1460
δ (CH2) and (CH3)x
1420
δ (scissors) (CH2) and (CH3)l
1375s
δ
s
y (CH3)
1330s
γ (CH2) and δ (O–H)l
1262
ν (C–O)
1220
ν (C–O)
1080
ν (C–O) in secondary alcohols and aliphatic ethers
1034
ν
s
y (C–O–C)l
810–902
δ (C–H) out of plane of aromatic rings and δ (C–C) in ringsl
ν: stretch; δ: deformation; γ: rocking; sy: symmetrical; as: asymmetrical; s: shoulder; l: exclusive peak for lignin; x: exclusive peak for xerogels.Figure 11
Lignin and some organic xerogels FTIR.In xerogels, the broad band of hydroxyls at 3000 to 3500 cm−1 remains, indicating that free hydroxyl groups still exist. For all xerogels obtained, a peak at 1594 cm−1 can be observed in all spectra, while the peak at 1510 cm−1 disappears; this could be because guaiacyl units from lignin are more reactive and participate in addition reactions. At 1460 cm−1, C–H deformation of methyl and methylene groups presents. Also the C–O bonds are observed. The absorption band at 1219 cm−1, stretching vibration of C–O–C, and the bending vibration of –CH2 at 1094 cm−1 reveal the three-dimensional network structure of xerogels [12].Additional evidence of the participation of lignin in condensation reactions during gelation is the decreasing or vanishing of methoxyl groups, primary alcohols, and the C=O bond is still observed in the spectrum in comparison with xerogels without lignin [54]. A broadening of the peaks at wavenumbers lower than 2000 cm−1 is observed from DO14 (xerogel with higher lignin content) to EV6, indicating a higher level of cross-linking per unit volume [55]. Several researches had demonstrated lignin reactivity not only with FTIR but also with Nuclear Magnetic Resonance (NMR) whereorto andmeta positions of lignin aromatic ring can react with resorcinol to yield polymeric products [15, 25].In the SEM pictures (Figure12), changes in morphology among each sample are observed, exhibiting only one phase without lignin agglomerations. In sample DO9, lignin might contribute to forming large microspheres aggregates; on the other hand, in sample DO14 a surface similar to common xerogels is observed, based on roughly spherical nodules arranged in a random packing [15]. Xerogel without lignin exhibits a uniform surface, consequently from a low R
L
/
C ratio that contributes to forming a more compact structure.Figure 12
Some SEM micrographs (3000x).
(a)
Lignin
(b)
DO9
(c)
DO14
(d)
Xerogel without ligninSolubility assay results are listed in Table8. It would be expected that if lignin remains in xerogel matrix as filler, a pH 12 solution will solubilize all. But this is not the case; all solutions concentrations are lower than the calculated concentration obtained from the percentage of lignin in each dry xerogel. Although, xerogel without lignin has some solubility in pH 12 solutions, its contribution to the concentration is almost negligible. A linear correlation between lignin percentage and concentration also would be expected, but catalyst doses affect lignin dissolution in xerogels and its participation in reaction, so it must be taken in account.Table 8
Xerogels and lignin solubility in pH 12 solution.
Sample
L
C
x
C
U
V
280
n
m
(% dry basis)
(g/L)
(g/L)
0∗
0
0
0.0073
DO9
25.76
1.0303
0.0679
DO14
17.53
0.7010
0.1087
DO16
7.60
0.3039
0.0842
Lignin
100
4
3.8373
∗Xerogel prepared without lignin.


## 4. Conclusions

Organic xerogels properties were accurately modeled withR
2 superior to 94%, allowing properties prediction from components. Catalyst and water fraction have proportional influence on shrinkage; lignin, resorcinol, and formaldehyde have an inverse influence on shrinkage.The resorcinol-formaldehyde mass ratio of 1.5 and water fraction lower than 0.55 show that with subcritical drying it is possible to produce xerogels with shrinkages lower than 5% allowing keeping shape and dimensions.Catalyst has a strong influence in xerogels physical properties: with high catalyst proportion (R
L
/
C higher than 100) lignin dissolution was improved and increased the radial shrinkage and bulk density. It was found that the best S
BET values, 226–451 m2/g, occurred with a R
L
/
C mass ratio from 70 to 134 that corresponds to initials pH from 5.91 to 7.19.Lignin contributes to lowering initial pH due to its acid character and also reduces shrinkage andS
BET due to its compact and rigid structure. Although lignin reduces the specific surface area, the cost benefits must be evaluated. The FTIR spectra show the participation of lignin with resorcinol and formaldehyde in addition and condensation reactions, mainly due to the hydroxymethyl groups that disappear in the xerogels spectrum.



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*Source: 272851-2015-10-01.xml*