651 related articles for article (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
[TBL] [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
[TBL] [Abstract][Full Text] [Related]
3. Towards a robust water content determination of freeze-dried samples by near-infrared spectroscopy.
Grohganz H; Gildemyn D; Skibsted E; Flink JM; Rantanen J
Anal Chim Acta; 2010 Aug; 676(1-2):34-40. PubMed ID: 20800739
[TBL] [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; 50(5):803-8. PubMed ID: 19616914
[TBL] [Abstract][Full Text] [Related]
5. Early prediction of sugarcane genotypes susceptible and resistant to Diatraea saccharalis using spectroscopies and classification techniques.
Porto NA; Roque JV; Wartha CA; Cardoso W; Peternelli LA; Barbosa MHP; Teófilo RF
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Jul; 218():69-75. PubMed ID: 30954799
[TBL] [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; 91(8):642-51. PubMed ID: 19365839
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Evaluation of visible and near-infrared spectroscopy as a tool for assessing fiber fineness during mechanical preparation of dew-retted flax.
Sharma HS; Reinard N
Appl Spectrosc; 2004 Dec; 58(12):1431-8. PubMed ID: 15606956
[TBL] [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; 53(3):350-8. PubMed ID: 20457503
[TBL] [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; 24(4):444-6. PubMed ID: 15766153
[TBL] [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; 64(7):786-94. PubMed ID: 20615293
[TBL] [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; 27(7):1328-31. PubMed ID: 17944406
[TBL] [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; 81(1):203-9. PubMed ID: 19117451
[TBL] [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; 55(21):8331-8. PubMed ID: 17927144
[TBL] [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; 27(3):499-502. PubMed ID: 17554907
[TBL] [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; 71(8):2001-2012. PubMed ID: 28452227
[TBL] [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; 58(9):1065-73. PubMed ID: 15479523
[TBL] [Abstract][Full Text] [Related]
18. [Double-layer partial least squares method and its application to NIR spectroscopic quantitative analysis].
Cheng Z
Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Jun; 27(6):1127-30. PubMed ID: 17763774
[TBL] [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; 25(9):1397-9. PubMed ID: 16379274
[TBL] [Abstract][Full Text] [Related]
20. Near infrared spectroscopy and aquaphotomics: Novel approach for rapid in vivo diagnosis of virus infected soybean.
Jinendra B; Tamaki K; Kuroki S; Vassileva M; Yoshida S; Tsenkova R
Biochem Biophys Res Commun; 2010 Jul; 397(4):685-90. PubMed ID: 20570650
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
