Rapid determination of pH in solid-state fermentation of wheat straw by FT-NIR spectroscopy and efficient wavelengths selection

Analytical and Bioanalytical Chemistry

Volumn 404, Issue 2, 2012, Pages 603-611

  Jiang, Hui ^a   Liu, Guohai ^a   Mei, Congli ^a   Yu, Shuang ^a   Xiao, Xiahong ^a   Ding, Yuhan ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

Fourier transform near infrared spectroscopy; Genetic algorithm; PH; Solid state fermentation; Synergy interval partial least squares

Indexed keywords

BEST MODEL; CORRELATION COEFFICIENT; CROSS VALIDATION; FT-NIR SPECTROSCOPY; MULTIVARIATE METHODS; NEAR INFRARED; PARTIAL LEAST SQUARES; RAPID DETERMINATION; ROOT MEAN SQUARE ERRORS; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SOLID-STATE FERMENTATION; SUBINTERVALS; WHEAT STRAWS;

CALIBRATION; FERMENTATION; INFRARED DEVICES; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; PH;

GENETIC ALGORITHMS;

CONFERENCE PAPER; FERMENTATION; INFRARED SPECTROPHOTOMETRY; INFRARED SPECTROSCOPY; METHODOLOGY; PH; VALIDATION STUDY; WHEAT;

FERMENTATION; HYDROGEN-ION CONCENTRATION; SPECTROPHOTOMETRY, INFRARED; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; TRITICUM;

TRITICUM AESTIVUM;

EID: 84865513608     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-012-6128-y     Document Type: Conference Paper

References (34)

1. Graminha EBN, Goncalves AZL, Pirota RDPB, Balsalobre MAA, Da Silva R, Gomes E (2008) Enzyme production by solid-state fermentation: application to animal nutrition. Anim Feed Sci Technol 144(1-2):1-22
2. Yang X, Chen H, Gao H, Li Z (2001) Bioconversion of corn straw by coupling ensiling and solid-state fermentation. Bioresour Technol 78(3):277-280
3. Hamidi-Esfahani Z, Shojaosadati SA, Rinzema A (2004) Modelling of simultaneous effect of moisture and temperature on A. niger growth in solid-state fermentation. Biochem Eng J 21(3):265-272
4. Medeiros ABP, Pandey A, Christen P, Fontoura PSG, de Freitas RJS, Soccol CR (2001) Aroma compounds produced by Kluyveromyces marxianus in solid state fermentation on a packed bed column bioreactor. World J Microbiol Biotechnol 17(8):767-771
5. Mielenz JR, Bardsley JS, Wyman CE (2009) Fermentation of soybean hulls to ethanol while preserving protein value. Bioresour Technol 100(14):3532-3539
6. Soares M, Christen P, Pandey A, Soccol CR (2000) Fruity flavour production by Ceratocystis fimbriata grown on coffee husk in solid-state fermentation. Process Biochem 35(8):857-861
7. Öhgren K, Rudolf A, Galbe M, Zacchi G (2006) Fuel ethanol production from steam-pretreated corn stover using SSF at higher dry matter content. Biomass Bioenergy 30(10):863-869
8. Zhang CK, Gong F, Li DS (1995) A note on the utilisation of spent mushroom composts in animal feeds. Bioresour Technol 52(1):89-91
9. Linde M, Jakobsson E-L, Galbe M, Zacchi G (2008) Steam pretreatment of dilute H2SO4-impregnated wheat straw and SSF with low yeast and enzyme loadings for bioethanol production. Biomass Bioenergy 32(4):326-332
10. Ito K, Kawase T, Sammoto H, Gomi K, Kariyama M, Miyake T (2011) Uniform culture in solid-state fermentation with fungi and its efficient enzyme production. J Biosci Bioeng 111(3):300-305
11. Francis F, Sabu A, Nampoothiri KM, Ramachandran S, Ghosh S, Szakacs G, Pandey A (2003) Use of response surface methodology for optimizing process parameters for the production of ?-amylase by Aspergillus oryzae. Biochem Eng J 15(2):107-115
12. Bellon-Maurel V, Orliac O, Christen P (2003) Sensors and measurements in solid state fermentation: a review. Process Biochem 38 (6):881-896
13. Balabin RM, Lomakina EI, Safieva RZ (2011) Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy. Fuel 90(5):2007-2015
14. Chen Q, Zhao J, Chaitep S, Guo Z (2009) Simultaneous analysis of main catechins contents in green tea (Camellia sinensis (L.)) by Fourier transform near infrared reflectance (FT-NIR) spectroscopy. Food Chem 113(4):1272-1277
15. Chen Q, Zhao J, Huang X, Zhang H, Liu M (2006) Simultaneous determination of total polyphenols and caffeine contents of green tea by near-infrared reflectance spectroscopy. Microchem J 83 (1):42-47
16. Fernández-Novales J, López M-I, Sánchez M-T, García J-A, Morales J (2008) A feasibility study on the use of a miniature fiber optic NIR spectrometer for the prediction of volumic mass and reducing sugars in white wine fermentations. J Food Eng 89 (3):325-329
17. Forbes RA, Luo MZ, Smith DR (2001) Measurement of potency and lipids in monensin fermentation broth by near-infrared spectroscopy. J Pharm Biomed 25(2):239-256
18. Cozzolino D, Kwiatkowski MJ, Parker M, Cynkar WU, Dambergs RG, Gishen M, Herderich MJ (2004) Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy. Anal Chim Acta 513(1):73-80
19. Yano T, Aimi T, Nakano Y, Tamai M (1997) Prediction of the concentrations of ethanol and acetic acid in the culture broth of a rice vinegar fermentation using near-infrared spectroscopy. J Ferment Bioeng 84(5):461-465
20. Rodrigues LO, Vieira L, Cardoso JP, Menezes JC (2008) The use of NIR as a multi-parametric in situ monitoring technique in filamentous fermentation systems. Talanta 75(5):1356-1361
21. Fackler K, Gradinger C, Hinterstoisser B, Messner K, Schwanninger M (2006) Lignin degradation by white rot fungi on spruce wood shavings during short-time solid-state fermentations monitored by near infrared spectroscopy. Enzyme Microb Technol 39(7):1476-1483
22. Li H, Chen H (2008) Near-infrared spectroscopy with a fiber-optic probe for state variables determination in solid-state fermentation. Process Biochem 43(5):511-516
23. Leardi R (2000) Application of genetic algorithm-PLS for feature selection in spectral data sets. J Chemometr 14(5-6):643-655
24. Chen Q, Zhao J, Liu M, Cai J, Liu J (2008) Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms. J Pharm Biomed 46(3):568-573
25. Leardi R, González AL (1998) Genetic algorithms applied to feature selection in PLS regression: how and when to use them. Chemometr Intell Lab Syst 41(2):195-207
26. Nørgaard L, Saudland A, Wagner J, Nielsen JP, Munck L, Engelsen SB (2000) Interval partial least-squares regression (iPLS): A comparative chemometric study with an example from near-infrared spectroscopy. Appl Spectrosc 54(3):413-419
27. Ying Y, Liu Y (2008) Nondestructive measurement of internal quality in pear using genetic algorithms and FT-NIR spectroscopy. J Food Eng 84(2):206-213
28. Leardi R, Nørgaard L (2004) Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions. J Chemometr 18(11):486-497
29. Zou X, Zhao J, Huang X, Li Y (2007) Use of FT-NIR spectrometry in non-invasive measurements of soluble solid contents (SSC) of 'Fuji' apple based on different PLS models. Chemometr Intell Lab Syst 87(1):43-51
30. Dou Y, Mi H, Zhao L, Ren Y, Ren Y (2006) Radial basis function neural networks in non-destructive determination of compound aspirin tablets on NIR spectroscopy. Spectrochim Acta A 65 (1):79-83
31. Shetty N, Gislum R (2011) Quantification of fructan concentration in grasses using NIR spectroscopy and PLSR. Field Crop Res 120 (1):31-37
32. Duan K, Keerthi SS, Poo AN (2003) Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing 51:41-59
33. Rodríguez JD, Pérez A, Lozano JA (2010) Sensitivity analysis of k-fold cross validation in prediction error estimation. IEEE T Pattern Anal 32(3):569-575
34. Noureldin A, El-Shafie A, Taha MR (2007) Optimizing neurofuzzy modules for data fusion of vehicular navigation systems using temporal cross-validation. Eng Appl Artif Intel 20(1):49-61