263 related articles for article (PubMed ID: 17089388)
61. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles.
Durand A; Devos O; Ruckebusch C; Huvenne JP
Anal Chim Acta; 2007 Jul; 595(1-2):72-9. PubMed ID: 17605985
[TBL] [Abstract][Full Text] [Related]
62. Ensemble preprocessing of near-infrared (NIR) spectra for multivariate calibration.
Xu L; Zhou YP; Tang LJ; Wu HL; Jiang JH; Shen GL; Yu RQ
Anal Chim Acta; 2008 Jun; 616(2):138-43. PubMed ID: 18482596
[TBL] [Abstract][Full Text] [Related]
63. Improvement of direct calibration in spectroscopy.
Boulet JC; Roger JM
Anal Chim Acta; 2010 Jun; 668(2):130-6. PubMed ID: 20493288
[TBL] [Abstract][Full Text] [Related]
64. Prediction of wood property in Chinese Fir based on visible/near-infrared spectroscopy and least square-support vector machine.
Zhu X; Shan Y; Li G; Huang A; Zhang Z
Spectrochim Acta A Mol Biomol Spectrosc; 2009 Oct; 74(2):344-8. PubMed ID: 19576843
[TBL] [Abstract][Full Text] [Related]
65. Influence of wavelength-shifted calibration spectra on multivariate calibration models.
Vogt F; Booksh K
Appl Spectrosc; 2004 May; 58(5):624-35. PubMed ID: 15165341
[TBL] [Abstract][Full Text] [Related]
66. Inline monitoring of butane isomers adsorption on MFI using near-infrared spectroscopy: drift correction in time based experiments.
Ferreira AF; Boelens HF; Westerhuis JA
Langmuir; 2005 Jul; 21(15):6830-5. PubMed ID: 16008393
[TBL] [Abstract][Full Text] [Related]
67. Calibration-free estimates of batch process yields and detection of process upsets using in situ spectroscopic measurements and nonisothermal kinetic models: 4-(dimethylamino)pyridine- catalyzed esterification of butanol.
Gemperline P; Puxty G; Maeder M; Walker D; Tarczynski F; Bosserman M
Anal Chem; 2004 May; 76(9):2575-82. PubMed ID: 15117200
[TBL] [Abstract][Full Text] [Related]
68. Near-infrared calibration transfer based on spectral regression.
Peng J; Peng S; Jiang A; Tan J
Spectrochim Acta A Mol Biomol Spectrosc; 2011 Apr; 78(4):1315-20. PubMed ID: 21296018
[TBL] [Abstract][Full Text] [Related]
69. Quantifying ternary mixtures of different solid-state forms of indomethacin by Raman and near-infrared spectroscopy.
Heinz A; Savolainen M; Rades T; Strachan CJ
Eur J Pharm Sci; 2007 Nov; 32(3):182-92. PubMed ID: 17716878
[TBL] [Abstract][Full Text] [Related]
70. [Modeling of sugar content based on NIRS during cider-making fermentation].
Peng BZ; Yue TL; Yuan YH; Gao ZP
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Mar; 29(3):652-5. PubMed ID: 19455792
[TBL] [Abstract][Full Text] [Related]
71. Maintaining the predictive abilities of multivariate calibration models by spectral space transformation.
Du W; Chen ZP; Zhong LJ; Wang SX; Yu RQ; Nordon A; Littlejohn D; Holden M
Anal Chim Acta; 2011 Mar; 690(1):64-70. PubMed ID: 21414437
[TBL] [Abstract][Full Text] [Related]
72. Determination of total polyphenols content in green tea using FT-NIR spectroscopy and different PLS algorithms.
Chen Q; Zhao J; Liu M; Cai J; Liu J
J Pharm Biomed Anal; 2008 Feb; 46(3):568-73. PubMed ID: 18068323
[TBL] [Abstract][Full Text] [Related]
73. Assuring specificity for a multivariate near-infrared (NIR) calibration: the example of the Chambersburg Shoot-out 2002 data set.
Norris KH; Ritchie GE
J Pharm Biomed Anal; 2008 Nov; 48(3):1037-41. PubMed ID: 18774255
[TBL] [Abstract][Full Text] [Related]
74. Methodology for real-time, multianalyte monitoring of fermentations using an in-situ mid-infrared sensor.
Kornmann H; Rhiel M; Cannizzaro C; Marison I; von Stockar U
Biotechnol Bioeng; 2003 Jun; 82(6):702-9. PubMed ID: 12673770
[TBL] [Abstract][Full Text] [Related]
75. Prediction of ethylene content in melt-state random and block polypropylene by near-infrared spectroscopy and chemometrics: comparison of a new calibration transfer method with a slope/bias correction method.
Watari M; Ozaki Y
Appl Spectrosc; 2004 Oct; 58(10):1210-8. PubMed ID: 18070400
[TBL] [Abstract][Full Text] [Related]
76. Near-infrared spectroscopy for the prediction of disease ratings for Fiji leaf gall in sugarcane clones.
Purcell DE; O'Shea MG; Johnson RA; Kokot S
Appl Spectrosc; 2009 Apr; 63(4):450-7. PubMed ID: 19366512
[TBL] [Abstract][Full Text] [Related]
77. In situ monitoring of the seed stage of a fermentation process using non-invasive NIR spectrometry.
Nordon A; Littlejohn D; Dann AS; Jeffkins PA; Richardson MD; Stimpson SL
Analyst; 2008 May; 133(5):660-6. PubMed ID: 18427689
[TBL] [Abstract][Full Text] [Related]
78. Determination of effective wavelengths for discrimination of fruit vinegars using near infrared spectroscopy and multivariate analysis.
Liu F; He Y; Wang L
Anal Chim Acta; 2008 May; 615(1):10-7. PubMed ID: 18440358
[TBL] [Abstract][Full Text] [Related]
79. Applying spectral peak area analysis in near-infrared spectroscopy moisture assays.
Brülls M; Folestad S; Sparén A; Rasmuson A; Salomonsson J
J Pharm Biomed Anal; 2007 May; 44(1):127-36. PubMed ID: 17391888
[TBL] [Abstract][Full Text] [Related]
80. Monitoring galenical process development by near infrared chemical imaging: one case study.
Gendrin C; Roggo Y; Spiegel C; Collet C
Eur J Pharm Biopharm; 2008 Mar; 68(3):828-37. PubMed ID: 17881196
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
