光谱学与光谱分析 |
|
|
|
|
|
Rapid Method for Determination of Furfural and 5-Hydroxymethyl Furfural in Pre-Extraction Stream of Biomass Using UV Spectroscopy |
ZHANG Cui1, CHAI Xin-sheng1,2*, LUO Xiao-lin1, FU Shi-yu1, ZHAN Huai-yu1 |
1.State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640,China 2.Institute of Paper Science and Technology, Georgia Institute of Technology, Atlanta, GA30332, USA |
|
|
Abstract The present paper reports a rapid method for the determination of furfural (F) and 5-hydroxymethyl furfural (HMF) in pre-extraction liquors of lignocellulosic biomass based on UV spectroscopy.In a concentrated acetic acid medium, F and HMF have an isosbestic point at 276 nm.It was found that the acidic soluble lignin in the pre-extraction sample is the major interference species in the F and HMF spectroscopic quantification.However, only acidic soluble lignins have the absorption at the wavelengths above 325 nm.Based on the absorption of the acidic soluble lignins at 325 nm, their absorptions at either F or HMF absorbed wavelengths can be determined.Thus, with a simple triple-wavelength technique, both F and HMF in the pre-extraction liquors of lignocellulosic biomass can be quantified based on the spectroscopic measurement at the isosbestic point wavelength (276 nm), maximum absorption wavelength of F (272 nm) and the acid soluble lignin absorbed wavelength (325 nm).The present method does not require the hazardous organic compounds (such as phenolic compounds etc.) acting as a color reagent in the experiment.It is not only simple and rapid, but also has a good measurement precision and accuracy, with the relative standard deviations of 3.02% and 2.72%, and recoveries of 95%-107% and 96%-101%, respectively, in the F and HMF quantification.The present method is suitable for use in the research on pre-extraction hemicellulose of the lignocellulosic biomass in bio-refinery area in order to achieve a high selective sugar conversion.
|
Received: 2009-01-29
Accepted: 2009-05-06
|
|
Corresponding Authors:
CHAI Xin-sheng
E-mail: luoxiaolin128@gmail.com; xin-sheng.chai@ipst.gatech.edu
|
|
[1] HU Zhan-bo, CHAI Xin-sheng, WANG Jing-quan, et al(胡湛波, 柴欣生, 王景全, 等).Progress in Chemistry(化学进展), 2008, 20(9): 1439. [2] Laser M, Schulman D, Allen S, et al.Bioresource Technol., 2002, 81(ER1): 33. [3] Israilides C, Grant G, Han Y.Appl.Environ.Microbiol., 1978, 36: 43. [4] QU Yin-bo(曲音波).Progress in Chemistry(化学进展), 2007, 19(7/8): 1098. [5] Philippidis G, Smith T, Wyman C S.Biotechnol.Bioeng., 1992, 41: 846. [6] Ghosh P, Singh A.Adv.Appl.Microbiol., 1993, 39: 295. [7] Rodriguez-Vazquez R, Diaz-Cervantes D.Bioresource Technol., 1994, 47(2): 159. [8] Aiello C, Ferrer A, Ledesma A.Bioresource Technol., 1996, 57(1): 13. [9] YIN Jing-bo, CHEN Xue-si, ZHANG Long, et al(尹静波, 陈学思, 张 龙, 等).Chemical Journal of Chinese Universities(高等学校化学学报), 2002, 23(7): 1363. [10] LI Jing-ci, DING Tian-hui(李敬慈, 丁天惠).Chinese Journal of Analytieal Chemistry(分析化学), 1994, 22(9): 869. [11] YUAN Jian-ping, GUO Si-yuan, LI Lin(袁建平, 郭祀远, 李 琳).Chinese Journal of Analytieal Chemistry(分析化学), 1996, 24(1): 57. [12] Dinsmore H L, Nagy S.J.Assoc.Off.Anal., 1974, 57: 332. [13] Espinosa-Mansilla A, Durán-Merás I, López F S J.Agr.Food Chem., 1996, 44: 2962. [14] O’Haver T C, Green G L.Anal.Chem., 1976, 48: 312. [15] Sílvia M R, Manuel A C, Ivonne D.Carbohydrate Polym., 2004, 56: 287. [16] Teixidó E, Santos F J, Puignou L J.Chromatogr.A, 2006, 1135: 85. [17] Elvira M S M G, Joao F L.J.Chromatogr.A, 2009,1216: 2762. [18] Marcy J E, Rouseff R L J.Agr.Food Chem., 1984, 32: 979. [19] Lee H S, Rouseff R L, Nagy S.J.Food Sci., 1986, 51: 1075. [20] Albalá-Hurtado S, Veciana-Nogués M T, Izquierdo-Pulido M, et al.J.Agr.Food Chem., 1997, 45: 2128. [21] YU Jian-ren, ZHANG Zeng, CHI Cong-cong(于建仁, 张 曾, 迟聪聪).China Pulp & Paper(中国造纸), 2007, 26(11): 10.
|
[1] |
CHEN Feng-xia1, YANG Tian-wei2, LI Jie-qing1, LIU Hong-gao3, FAN Mao-pan1*, WANG Yuan-zhong4*. Identification of Boletus Species Based on Discriminant Analysis of Partial Least Squares and Random Forest Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 549-554. |
[2] |
LU Li-min, SHI Bin, TANG Tian-yu, ZHAO Xian-hao, WEI Xiao-nan, TANG Yan-lin*. Spectral Analysis of Epinephrine Molecule Based on Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 248-252. |
[3] |
LIN Yan1, SU Jun-hong1*, TANG Yan-lin2, YANG Dan3. Ultraviolet Spectrum and Excitation Properties Calculations of Vitamin C Based on Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 304-309. |
[4] |
XU Hui-hua, SHI Dong-po*, WU Hao, YIN Xian-qing, ZHENG Yan-cheng, CHEN Wu, LI Geng. Influence of AEO-9 on Ultraviolet Absorbance Spectrum of TDBAC Reduced by β-CD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3931-3935. |
[5] |
LI Guang-mao, QIAO Sheng-ya, ZHU Chen, ZHENG Fu-li, YANG Sen, CAI Han-xian. Preparation and Application of Micro-Nano Structure SERS Substrate Based on Copper Mesh Displacement Reaction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3166-3171. |
[6] |
YANG Lu-ze, LIU Miao*. Construction of a 3D-QSAR Model With Dual Spectral Effects and Its Application in Molecular Modification of Environmentally Friendly PBBs[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 430-434. |
[7] |
TONG Ang-xin, TANG Xiao-jun*, ZHANG Feng, WANG Bin. Species Identification of NaCl, NaOH and β-Phenylethylamine Based on Ultraviolet Spectrophotometry and Supervised Pattern Recognition Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 448-453. |
[8] |
CHEN Ying1,XU Yang-mei1, DI Yuan-jian1,CUI Xing-ning1,ZHANG Jie1,ZHOU Xin-de1,XIAO Chun-yan2, LI Shao-hua3. COD Concentration Prediction Model Based on Multi-Spectral Data Fusion and GANs Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 188-193. |
[9] |
YANG Hui-qin1, 2, ZHANG Bo1, 2, MA Ling1, 2, SHANG Yi1, 2, GAO Dong-li1, 2*. Extraction and Spectroscopic Analysis of Chlorogenic Acid in Diploid Potato[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3860-3864. |
[10] |
JIANG You-lie, ZHU Shi-ping*, TANG Chao, SUN Bi-yun, WANG Liang. Fast Prediction Method of Thermal Aging Time and Furfural Content of Insulating Oil Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3515-3521. |
[11] |
LI Xin1, SU Cheng-zhi1,2*, YU Dan-yang1, SHENG Yu-bo1, CHANG Chuan1, SHI Lei1, JIANG Ji-guang1. Study on the Influence of Wavelength and Low Temperature on COD Detection by Ultraviolet Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(08): 2403-2408. |
[12] |
HE Zhi-heng1, XU Rong2, LIN Jun-feng2, YAN Ning1, CHEN Chun-xia3, CHEN Run-quan3, CHAI Xin-sheng1, 3*. Tri-Wavelength UV Spectroscopy Method by Figuring out the Isobestic Points Shift for the Determination of Fluorescent Whitening Agents in Paper Products[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1758-1762. |
[13] |
QIU Jia-chu1,4, RUAN Ping2,4*, YONG Jun-guang3, FENG Bo-hua2, 4, HUANG Dai-zheng5, SHEN Hong-tao6. UV-Visible Absorption Spectra and FTIR of Hemoglobin of Healthy People and It Spectroscopic Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(05): 1425-1430. |
[14] |
XIONG Yuan-hui1, 2,LUO Zhong-jie1,CHEN Zhen-wei2, YU Guang-bao1, 2,DUAN Wei-min2, LIU Lin-mei2,LI Fa-quan2,WU Kui-jun2*. Study on Ultraviolet Imaging Remote Sensing Monitoring Technology for SO2 Gas Emission[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(04): 1289-1296. |
[15] |
CHEN Ying1, HE Lei1, CUI Xing-ning1, XIAO Chun-yan2, ZHANG Jie1, ZHANG Can1, YANG Hui1, ZHOU Xin-de1, LI Shao-hua3. Study on Turbidity Compensation of Nitrate Nitrogen in Water Based on Ultraviolet Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 472-477. |
|
|
|
|