Bio-Oil Characterization

Volatile SCM bio-oil products were characterized by GC-MS analysis and the chromatograms are shown in Fig. 13.4. The identified products and their yields are given in Table 13.2. The total yield of volatile components from spruce and birch were 19.8 and 27.1 mg/g (wood), respectively. Differences in volatile product profiles were mainly due to different lignin compositions between softwoods and hardwoods and therefore their derived products. Spruce yielded mainly guaiacyl derivatives (guaiacol, methyl guaiacol, eugenol, isoeugenol, etc.) from lignin while birch gave both guaiacyl and syringyl (syringol, 4-allyl syringol, 4-propenyl syringol, etc.) derivatives from lignin (Table 13.2, Fig. 13.4). In addition,

Fig. 13.4 Total ion chromatograms of the bio-oils produced from SCM treatment of Alaska birch (top) and Sitka spruce (bottom)

carbohydrate degradation products were also observed (such as 2,5-dimethylfuran and a series of organic acids as their methyl ester).

Reportedly, the process of lignocellulosic fragmentation begins with the cleavage of lignin b-O-4 linkages [21, 36]. The cleavage process results in olig­omeric and monomeric phenolic structures that are stabilized by methylating reactive sites (phenols and carboxylic acids). This process, which occurs under elevated temperatures and pressures of SCM conditions, results in first-order product distributions for lignin marked by methoxy functionalities (Table 13.2), as well as traditional pyrolysis products such as guaiacol, homoguiacol, eugenol, syringol and other guaiacyl structures. For example, the presence of 3,4-dimethoxy toluene and 3,4,5-trimethoxy toluene suggests that this originated from methyl — guaiacol and methyl-syringol, respectively after methylation.

Lignin phenolic monomers exhibiting both guaiacyl and syringyl nuclei structures readily decompose in SCM [37]. Hardwood lignins contain less con­densed inter-lignin linkages and more b-O-4 linkages due to the presence of syringyl units and therefore more readily cleaved during SCM than softwood lignins and thus a greater yield of volatile products [38]. This is evident from the GC-MS data listed in Table 13.2.

Peak

No.

RT

(min)

Birch

(mg/g)

Spruce

(mg/g)

MW

(m/z)

Compound

1

2.42

0.10

0.20

104

2,2- dimethoxypropane

2

2.53

0.23

0.24

84

Methyl cylcopentane

3

2.69

0.08

0.12

102

Methyl isobutyrate

4

2.77

0.13

0.21

90

Methyl hydroxyacetate

5

2.98

0.21

0.39

96

2.5-dimethylfuran

6

3.14

0.17

0.19

102

Methyl butyrate

7

3.31

0.00

0.15

104

Methyl lactate

8

3.6

0.16

0.26

102

2- methoxy tetrahydrofuran

9

3.63

0.50

0.79

104

Methyl methoxyacetate

10

3.71

0.15

0.23

100

Methyl 2-butenoate

11

4.21

0.98

1.50

118

Methyl 2-Methoxypropionate

12

5.95

0.11

0.21

114

Methyl 2-methylene butyrate

13

6.10

0.51

0.42

102

3-methoxy pentane

14

6.48

0.08

0.16

128

Methyl 4-methyl-2-pentenoate

15

6.63

0.09

0.06

114

2,3- dimethylene-1,4-butanediol

16

7.06

0.05

0.11

128

Methyl 3-methyl-2-pentenoate

17

7.59

0.10

0.06

128

5-octen-1-ol

18

8.36

0.07

0.05

128

Unknown

19

9.46

0.23

0.20

112

1,6-heptadien-4-ol

20

10.02

0.00

0.12

112

Maple lactone

21

10.26

0.33

0.10

146

Dimethyl succinate

22

10.76

0.07

0.00

136

Monoterpene

23

10.99

0.42

0.46

126

3-ethyl-2-hydroxy-2-cyclopenten-1-one

24

11.16

0.11

0.10

124

2,3,4-trimethyl-2-cyclopenten-1-one

25

11.34

0.33

0.31

160

Dimethyl methylsuccinate

26

11.95

0.33

0.80

124

2-methoxy phenol (guaiacol)

27

12.23

0.11

0.11

140

4,4-diethyl-3-methylene-2oxetanone*

28

13.30

0.22

0.11

160

Dimethyl glutarate

29

14.46

0.05

0.06

174

Dimethyl 2-methyl-glutarate

30

14.61

0.15

0.23

138

4-methoxy-3methyl phenol

31

15.00

0.54

1.98

138

Methyl guaiacol

32

16.13

0.21

0.22

152

3,4-dimethoxytoluene

33

16.80

1.20

0.62

162

Glycerol-monobutyrate

34

17.42

0.93

2.75

152

p-ethyl guaiacol

35

18.12

0.08

0.00

168

3,4 dimethoxy benzyl alcohol

36

18.54

0.05

0.10

166

4-ethyl-1,2-dimethoxy benzene

37

18.84

0.04

0.07

166

Dimethyl 1,2-dimethoxy benzene*

38

19.03

2.21

0.00

154

Syringol

39

19.47

0.16

0.36

164

Eugenol (allyl guaiacol)

40

19.54

0.15

0.00

154

Dimethoxy phenol

41

19.66

0.41

0.50

166

Dimethyl 1,2 dimethoxy benzene

42

19.79

0.66

2.64

166

p-propyl guaiacol

43

20.56

0.07

0.00

182

Trimethoxy toluene

Table 13.2 Volatile products generated and determined by GC-MS analysis from SCM-treated

Sitka spruce and Alaska birch

(continued)

Table 13.2 (continued)

Peak

No.

RT

(min)

Birch

(mg/g)

Spruce

(mg/g)

MW

(m/z)

Compound

44

20.74

0.16

0.29

164

cis isoeguenol

45

21.06

0.00

0.05

180

Coniferyl alcohol

46

21.56

2.40

0.00

168

1,2,3-trimethoxy benzene

47

21.77

1.10

1.06

164

trans isoeugenol

48

21.86

0.00

0.42

180

1,2-dimethoxy-4-propyl benzene

49

22.38

0.00

0.07

180

Coniferyl alcohol*

50

23.54

2.47

0.00

182

3,4,5-trimethoxy toluene

51

23.94

0.50

0.00

182

Methyl-butyl-benzene triol

52

23.99

0.00

0.10

178

Unknown

53

24.38

0.09

0.00

180

Butyl-guaiacol*

54

24.60

0.08

0.00

196

Unknown

55

25.05

0.07

0.06

196

Unknown

56

25.29

0.58

0.00

194

4-allyl syringol

57

25.53

2.14

0.00

196

4-propyl syringol

58

26.38

0.62

0.00

194

cis-4-propenyl syringol

59

26.98

0.00

0.05

210

Unknown

60

27.45

1.76

0.00

194

trans 4-propenyl syringol

61

28.76

0.41

0.00

212

Methyl 3,5-dimethoxy-4-hydroxy- benzoate*

62

29.25

0.00

0.00

178

Anthracene IS

63

31.34

0.45

0.00

212

Unknown

64

32.72

0.30

0.00

270

Methyl hexadecanoate

65

35.91

0.25

0.00

294

Unknown fatty acid methyl ester

66

36.49

0.22

0.00

298

6-hydroxymethandienone*

67

39.50

0.00

0.05

312

Sterol derivative*

68

39.65

0.00

0.40

314

Methyl 13-isopropyl-podocara-8-11,13- trien-15-oicoate

69

39.94

0.25

0.00

326

Sterol derivative*

70

41.57

0.11

0.00

340

Sterol derivative*

71

43.14

0.27

0.00

354

sterol derivative*

72

TOTAL

50.76

0.11

27.11

0.00

19.75

396

Unknown

Tentative compounds are identified by an asterisk (*)

Studies by Soria et al. [24] have also shown that (i) lignin oligomers and polymers were present in the bio-oil as determined by gel permeation chroma­tography and (ii) oligosaccharides and methyl glycosides by high performance liquid chromatography. Furthermore, they showed that lignin solubilization occurs first followed by hemicellulose degradation and then cellulose. This process combines thermochemical breakdown of the carbohydrate crystalline and amor­phous regions into oligosaccharides. Lignin solubilization/degradation is similar to what occurs during organosolv pulping with ethanol as the solvent, but under milder thermal conditions around 180°C [39-41]. Under SCM processing, meth — anolysis reactions occur resulting in methyl glycosides and methyl ester derivatives (Table 13.2) [20, 24]. Further decomposition of these oligomers into furfural and other dehydration products also occurs [20], leading to the production of methyl a — and b-D glucosides, levoglucosan and 5-hydroxymethyl-furfural from polysaccharides [24].

The methylated biomass SCM products are known to be more stable than comparable pyrolysis products [21], and hence provide a better platform for upgrading. The resulting bio-oil composition shows a volatile species distribution that enhances the stability of the bio-oil, as well as creates a methylated platform which can enhance the catalytic upgrading of the bio-oil into a new generation biofuel. For an application where the engine, logistical and processing infra­structure are limited to hydrocarbon-based fuels, such as the one we currently have, the SCM processing platform presents a unique opportunity to produce consistent bio-oils from different biomass streams. This is further enhanced by the reaction conditions which are a third to half less thermal energy intensive as traditional pyrolysis.

Issues with scalability and solids transfer due to the elevated pressures continue to be ongoing areas of development, and are the greatest shortcomings of this novel thermochemical technique at this time. The GC-MS results are limited to volatile compounds, with boiling points lower than 300°C. Depolymerized com­pounds can undergo rapid re-polymerization as a result of the low pH of bio-oil, the presence of water and the formation of reactive sites, promoting oligomers and polymers to form with elevated boiling points and molecular weights in excess of

20,0 g mol-1 [24]. Evaluating the fractions of non-volatile compounds is a significant shortcoming of the current work, in particular the mass distribution of volatile versus non-volatile species.

13.4 Conclusion

Product consistency in the development of an alternative renewable biofuel is of paramount importance. Processing different biomass in a single step, often leads to inconsistent product streams. Supercritical methanol processing of both hardwoods and softwoods in a batch reactor show consistent product outputs and conversions greater than 92 wt%, surpassing traditional pyrolysis processing. The methylated products, generated by the SCM treatment process, show potential stability and great promise in catalytic upgrading into new generation biofuels. The results show a series of chemicals that have established markets and post new options for creating value added products, while providing fundamental knowledge on the chemical makeup of that biomass.

Acknowledgments This project was supported by USDA-CSREES Wood Utilization Research program grant #2008-34158-19486. The FTIR spectrometer was supported by a USDA-CSREES- NRI equipment grant #2005-35103-15243.