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Journal Abstract Search
648 related items for PubMed ID: 19366512
1. 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 [Abstract] [Full Text] [Related]
2. Modeling of temperature-induced near-infrared and low-field time-domain nuclear magnetic resonance spectral variation: chemometric prediction of limonene and water content in spray-dried delivery systems. Andrade L, Farhat IA, Aeberhardt K, Bro R, Engelsen SB. Appl Spectrosc; 2009 Feb; 63(2):141-52. PubMed ID: 19215643 [Abstract] [Full Text] [Related]
4. Determination of free amino acid content in Radix Pseudostellariae using near infrared (NIR) spectroscopy and different multivariate calibrations. Lin H, Chen Q, Zhao J, Zhou P. J Pharm Biomed Anal; 2009 Dec 05; 50(5):803-8. PubMed ID: 19616914 [Abstract] [Full Text] [Related]
6. Complex biopolymeric systems at stalk/epicuticular wax plant interfaces: a near infrared spectroscopy study of the sugarcane example. Purcell DE, O'Shea MG, Kokot S. Biopolymers; 2009 Aug 05; 91(8):642-51. PubMed ID: 19365839 [Abstract] [Full Text] [Related]
9. Application of near infrared spectroscopy for rapid analysis of intermediates of Tanreqing injection. Li W, Xing L, Fang L, Wang J, Qu H. J Pharm Biomed Anal; 2010 Nov 02; 53(3):350-8. PubMed ID: 20457503 [Abstract] [Full Text] [Related]
10. [Determination of chemical components in tobacco leaves by FT-NIR spectroscopy: study of influence of spectral ranges on PLS modeling]. Ma X, Wang Y, Wen YD, Xie LH, Cui YH, Zhang J, Li HB. Guang Pu Xue Yu Guang Pu Fen Xi; 2004 Apr 02; 24(4):444-6. PubMed ID: 15766153 [Abstract] [Full Text] [Related]
11. Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves. Zou X, Zhao J, Mao H, Shi J, Yin X, Li Y. Appl Spectrosc; 2010 Jul 02; 64(7):786-94. PubMed ID: 20615293 [Abstract] [Full Text] [Related]
12. [Determination of holocellulose and lignin content in Chinese fir by near infrared spectroscopy]. Huang AM, Jiang ZH, Li GY. Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Jul 02; 27(7):1328-31. PubMed ID: 17944406 [Abstract] [Full Text] [Related]
13. Unlocking interpretation in near infrared multivariate calibrations by orthogonal partial least squares. Stenlund H, Johansson E, Gottfries J, Trygg J. Anal Chem; 2009 Jan 01; 81(1):203-9. PubMed ID: 19117451 [Abstract] [Full Text] [Related]
14. Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy. Valderrama P, Braga JW, Poppi RJ. J Agric Food Chem; 2007 Oct 17; 55(21):8331-8. PubMed ID: 17927144 [Abstract] [Full Text] [Related]
15. [Measurement of chlorophyll content in pepper leaves by near infrared analysis]. Jiang HY, Ying YB. Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Mar 17; 27(3):499-502. PubMed ID: 17554907 [Abstract] [Full Text] [Related]
16. Prediction of Lignin Content in Different Parts of Sugarcane Using Near-Infrared Spectroscopy (NIR), Ordered Predictors Selection (OPS), and Partial Least Squares (PLS). Assis C, Ramos RS, Silva LA, Kist V, Barbosa MHP, Teófilo RF. Appl Spectrosc; 2017 Aug 17; 71(8):2001-2012. PubMed ID: 28452227 [Abstract] [Full Text] [Related]
17. Effects of nonlinearities and uncorrelated or correlated errors in realistic simulated data on the prediction abilities of augmented classical least squares and partial least squares. Melgaard DK, Haaland DM. Appl Spectrosc; 2004 Sep 17; 58(9):1065-73. PubMed ID: 15479523 [Abstract] [Full Text] [Related]
19. [Determination of glycyrrhizic acid in glycyrrhiza uralensis fisch by fiber optic near infrared spectroscopy]. Wang L, He Y, Qiu ZC, Wang XR, Lee FS. Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Sep 17; 25(9):1397-9. PubMed ID: 16379274 [Abstract] [Full Text] [Related]