Midinfrared FT-IR as a Tool for Monitoring Herbaceous Biomass Composition and Its Conversion to Furfural

Table 2

Composition data obtained from the application of the ash-corrected predictive model for the quantification of cellulose, hemicellulose, and lignin in giant reed (S1–S11) and switchgrass (S12) biomass samples.

Sample	Biomass	Ecotype	Harvest time	Morphological region	Cellulose (%)	Hemicellulose (%)	Lignin (%)
S1	Giant reed	Torviscosa	Autumn	Leaf	40.4	26.8	23.0
S2	Giant reed	Torviscosa	Autumn	Stem	42.1	19.7	27.4
S3	Giant reed	Pisa	Summer	Leaf	42.5	25.7	22.3
S4	Giant reed	Pisa	Summer	Stem	47.0	18.2	24.9
S5	Giant reed	Pisa	Autumn	Leaf	39.0	29.4	22.0
S6	Giant reed	Pisa	Autumn	Stem	40.4	23.6	25.5
S7	Giant reed	Pisa	Winter	Leaf	40.6	28.7	21.3
S8	Giant reed	Pisa	Winter	Stem	42.1	21.3	26.0
S9	Giant reed	Torviscosa	Winter	Leaf	40.3	26.6	23.1
S10	Giant reed	Torviscosa	Winter	Stem	42.5	21.8	27.0
S11	Giant reed	Pisa	Winter	Stem + leaf	41.6	23.6	24.6
S12	Switchgrass	Alamo	Winter	Stem + leaf	35.7	27.6	25.9