124 related articles for article (PubMed ID: 28003929)
1. Rapid Quantitative Analysis of Forest Biomass Using Fourier Transform Infrared Spectroscopy and Partial Least Squares Regression.
Acquah GE; Via BK; Fasina OO; Eckhardt LG
J Anal Methods Chem; 2016; 2016():1839598. PubMed ID: 28003929
[TBL] [Abstract][Full Text] [Related]
2. Identifying Plant Part Composition of Forest Logging Residue Using Infrared Spectral Data and Linear Discriminant Analysis.
Acquah GE; Via BK; Billor N; Fasina OO; Eckhardt LG
Sensors (Basel); 2016 Aug; 16(9):. PubMed ID: 27618901
[TBL] [Abstract][Full Text] [Related]
3. Prediction of mixed hardwood lignin and carbohydrate content using ATR-FTIR and FT-NIR.
Zhou C; Jiang W; Via BK; Fasina O; Han G
Carbohydr Polym; 2015 May; 121():336-41. PubMed ID: 25659707
[TBL] [Abstract][Full Text] [Related]
4. Fourier transform infrared quantitative analysis of sugars and lignin in pretreated softwood solid residues.
Tucker MP; Nguyen QA; Eddy FP; Kadam KL; Gedvilas LM; Webb JD
Appl Biochem Biotechnol; 2001; 91-93():51-61. PubMed ID: 11963880
[TBL] [Abstract][Full Text] [Related]
5. Chemometric modeling of thermogravimetric data for the compositional analysis of forest biomass.
Acquah GE; Via BK; Fasina OO; Adhikari S; Billor N; Eckhardt LG
PLoS One; 2017; 12(3):e0172999. PubMed ID: 28253322
[TBL] [Abstract][Full Text] [Related]
6. Using FTIR spectroscopy to model alkaline pretreatment and enzymatic saccharification of six lignocellulosic biomasses.
Sills DL; Gossett JM
Biotechnol Bioeng; 2012 Apr; 109(4):894-903. PubMed ID: 22094883
[TBL] [Abstract][Full Text] [Related]
7. Rapid determination of carbohydrates, ash, and extractives contents of straw using attenuated total reflectance fourier transform mid-infrared spectroscopy.
Tamaki Y; Mazza G
J Agric Food Chem; 2011 Jun; 59(12):6346-52. PubMed ID: 21545134
[TBL] [Abstract][Full Text] [Related]
8. Measurement of rumen dry matter and neutral detergent fiber degradability of feeds by Fourier-transform infrared spectroscopy.
Belanche A; Weisbjerg MR; Allison GG; Newbold CJ; Moorby JM
J Dairy Sci; 2014; 97(4):2361-75. PubMed ID: 24508438
[TBL] [Abstract][Full Text] [Related]
9. Quantitative characterization of lignocellulosic biomass using surrogate mixtures and multivariate techniques.
Krasznai DJ; Champagne P; Cunningham MF
Bioresour Technol; 2012 Apr; 110():652-61. PubMed ID: 22342087
[TBL] [Abstract][Full Text] [Related]
10. Prediction of humic acid content and respiration activity of biogenic waste by means of Fourier transform infrared (FTIR) spectra and partial least squares regression (PLS-R) models.
Meissl K; Smidt E; Schwanninger M
Talanta; 2007 Apr; 72(2):791-9. PubMed ID: 19071688
[TBL] [Abstract][Full Text] [Related]
11. [Rapid determination of componential contents and calorific value of selected agricultural biomass feedstocks using spectroscopic technology].
Sheng KC; Shen YY; Yang HQ; Wang WJ; Luo WQ
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Oct; 32(10):2805-9. PubMed ID: 23285891
[TBL] [Abstract][Full Text] [Related]
12. Rapid analysis of composition and reactivity in cellulosic biomass feedstocks with near-infrared spectroscopy.
Payne CE; Wolfrum EJ
Biotechnol Biofuels; 2015; 8():43. PubMed ID: 25834638
[TBL] [Abstract][Full Text] [Related]
13. Using FTIR to predict saccharification from enzymatic hydrolysis of alkali-pretreated biomasses.
Sills DL; Gossett JM
Biotechnol Bioeng; 2012 Feb; 109(2):353-62. PubMed ID: 21898366
[TBL] [Abstract][Full Text] [Related]
14. Rapid determination of lignin content of straw using fourier transform mid-infrared spectroscopy.
Tamaki Y; Mazza G
J Agric Food Chem; 2011 Jan; 59(2):504-12. PubMed ID: 21175187
[TBL] [Abstract][Full Text] [Related]
15. Fast and nondestructive determination of protein content in rapeseeds (Brassica napus L.) using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS).
Lu Y; Du C; Yu C; Zhou J
J Sci Food Agric; 2014 Aug; 94(11):2239-45. PubMed ID: 24374740
[TBL] [Abstract][Full Text] [Related]
16. Determining sucrose and glucose levels in dual-purpose sorghum stalks by Fourier transform near infrared (FT-NIR) spectroscopy.
Chen SF; Danao MG; Singh V; Brown PJ
J Sci Food Agric; 2014 Sep; 94(12):2569-76. PubMed ID: 24590962
[TBL] [Abstract][Full Text] [Related]
17. Estimation of feed crude protein concentration and rumen degradability by Fourier-transform infrared spectroscopy.
Belanche A; Weisbjerg MR; Allison GG; Newbold CJ; Moorby JM
J Dairy Sci; 2013; 96(12):7867-80. PubMed ID: 24094538
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows.
El Jabri M; Sanchez MP; Trossat P; Laithier C; Wolf V; Grosperrin P; Beuvier E; Rolet-Répécaud O; Gavoye S; Gaüzère Y; Belysheva O; Notz E; Boichard D; Delacroix-Buchet A
J Dairy Sci; 2019 Aug; 102(8):6943-6958. PubMed ID: 31178172
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of the moisture prediction capability of near-infrared and attenuated total reflectance fourier transform infrared spectroscopy using superdisintegrants as model compounds.
Uppaluri SG; Bompelliwar SK; Johnson PR; Gupta MR; Al-Achi A; Stagner WC; Haware RV
J Pharm Sci; 2014 Dec; 103(12):4012-4020. PubMed ID: 25332106
[TBL] [Abstract][Full Text] [Related]
20. Application of FTIR-ATR spectroscopy to the quantification of sugar in honey.
Anjos O; Campos MG; Ruiz PC; Antunes P
Food Chem; 2015 Feb; 169():218-23. PubMed ID: 25236219
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]