Prediction of 2-acetyl-1-pyrroline content in grains of Thai Jasmine rice based on planting condition, plant growth and yield component data using chemometrics

Chemometrics and Intelligent Laboratory Systems

Volumn 156, Issue , 2016, Pages 203-210

  Funsueb, Sujitra ^a   Krongchai, Chanida ^a   Mahatheeranont, Sugunya ^a   Kittiwachana, Sila ^a  

^a CHIANG MAI UNIVERSITY   (Thailand)

Author keywords

2 Acetyl 1 pyrroline; Aromatic rice; Multivariate calibration; Partial least squares (PLS); Self organizing map (SOM)

Indexed keywords

2 ACETYL 1 PYRROLINE; NITROGEN FERTILIZER; PYRROLINE DERIVATIVE; SODIUM CHLORIDE; UNCLASSIFIED DRUG;

ARTICLE; CHEMOMETRIC ANALYSIS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DRY WEIGHT; GAS CHROMATOGRAPHY; GRAIN; INDIAN RICE; PLANT GROWTH; PLANT HEIGHT; PLANT YIELD; PRIORITY JOURNAL; ROOT LENGTH; SALINITY;

EID: 84979209202     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2016.06.008     Document Type: Article

References (34)

1. [1] Singh, R.K., Singh, U.S., Khush, G.S., Aromatic Rices. 2000, Oxford & IBH, New Delhi, India.
2. [2] Buttery, R.G., Ling, L.C., Juliano, B.O., 2-Acetyl-1-pyrroline: an important aroma component of cooked rice. Chem. Ind. 23 (1982), 958–959.
3. [3] Laksanalamai, V., Ilangantileke, S., Comparison of aroma compound (2-acetyl-1-pyrroline) in leaves from pandan (Pandanus amaryllifolius) and Thai fragrant rice (Khao Dawk Mali-105). Cereal Chem. 70:4 (1993), 381–384.
4. [4] Yoshihashi, T., Huong, N.T.T., Inatomi, H., Precursors of 2-acetyl-1-pyrroline, a potent flavor compound of an aromatic rice variety. J. Agric. Food Chem. 50 (2002), 2001–2004.
5. [5] Champagne, E.T., Rice aroma and flavor: a literature review. Cereal Chem. 85:4 (2008), 445–454.
6. [6] Bryant, R.J., McClung, A.M., Volatile profiles of aromatic and non-aromatic rice cultivars using SPME/GC–MS. Food Chem. 124 (2011), 501–513.
7. [7] Sakthivel, K., Sundaram, R.M., Shobha Rani, N., Balachandran, S.M., Neeraja, C.N., Genetic and molecular basis of fragrance in rice. Biotechnol. Adv. 27 (2009), 468–473.
8. [8] Fitzerald, T.L., Waters, D.L.E., Brooks, L.O., Henry, R.J., Fragrance in rice (Oryza sativa) is associated with reduced yield under salt treatment. Environ. Exp. Bot. 68 (2010), 292–300.
9. [9] Gay, F., Maraval, I., Roques, S., Gunata, Z., Boulanger, R., Audelbert, A., Mestres, C., Effect of salinity on yield and 2-acetyl-1-pyrroline content in the grains of three fragrant rice cultivars (Oryza sativa L.) in Camargue (France). Field Crop Res. 117 (2010), 154–160.
10. [10] Poonlaphdecha, J., Maraval, I., Roques, S., Audebert, A., Boulanger, R., Bry, X., Gunata, Z., Effect of timing and duration of salt treatment during growth of a fragrant rice variety on yield and 2-acetyl-1-pyrroline, proline, and GABA levels. J. Agric. Food Chem. 60 (2012), 3824–3830.
11. [11] Fitzerald, T.L., Waters, D.L.E., Henry, R.J., The effect of salt on betaine aldehyde dehydrogenase transcript levels and 2-acetyl-1-pyrroline concentration in fragrant and non-fragrant rice (Oryza sativa). Plant Sci. 175 (2008), 539–546.
12. [12] Yang, S., Zou, Y., Liang, Y., Xia, B., Liu, S., Ibrahim, M., Li, D., Li, Y., Chen, L., Zeng, Y., Liu, L., Chen, Y., Li, P., Zhu, J., Role of soil total nitrogen in aroma synthesis of traditional regional aromatic rice in China. Field Crop Res. 125 (2010), 151–160.
13. [13] Srivastava, P.C., Singh, U.S., Effect of graded levels of nitrogen and sulfur and their interaction on yields and quality of aromatic rice. J. Plant Nutr. 30 (2007), 811–828.
14. [14] Brereton, R.G., Applied Chemometrics for Scientists. 2007, Wiley, Chichester, U.K.
15. [15] Eriksson, L., Johansson, E., Wikstrom, C., Tutorial mixture design—design generation, PLS analysis and model usage. Chemom. Intell. Lab. Syst. 43 (1998), 1–24.
16. [16] Lundstedt, T., Seifert, E., Abramo, L., Thelin, B., Nyström, Å., Pettersen, J., Bergman, R., Experimental design and optimization. Chemom. Intell. Lab. Syst. 42 (1998), 3–40.
17. [17] Melssen, W., Wehrens, R., Buydens, L., Supervised Kohonen networks for classification problems. Chemom. Intell. Lab. Syst. 83 (2006), 99–113.
18. [18] Lloyd, G.R., Brereton, R.G., Duncan, J.C., Self organising maps for distinguishing polymer groups using thermal response curves obtained by dynamic mechanical analysis. Analyst 133:8 (2008), 1046–1059.
19. [19] Brereton, R.G., Chemometrics: Data Analysis for the Laboratory and Chemical Plant. 2003, Wiley, Chichester, U.K.
20. [20] Sangwijit, K., Thangsunan, P., Cutler, R., Anuntalabhochai, S., Development of SCAR market for Thai fragrant rice (Oryza sativa L. var.indica cv. Pathumthani 1) mutants induced by low energy ion beam. Chiang Mai J. Sci. 39:4 (2012), 545–553.
21. [21] Hoagland, D.R., Arnon, D.I., The Water-Culture Method for Growing Plants without Soil. 1950, University of California, College of Agriculture, Agricultural Experiment Station, Berkeley, Calif.
22. [22] Sriseadka, T., Wongpornchai, S., Kitsawatpaiboon, P., Rapid method for quantitative analysis of the aroma impact compound, 2-acetyl-1-pyrroline, in fragrant rice using automated headspace gas chromatography. J. Agric. Food Chem. 54 (2006), 8183–8189.
23. [23] Geladi, P., Kowalski, B.R., Partial least-squares regression - a tutorial. Anal. Chim. Acta 185 (1986), 1–17.
24. [24] Westerhuis, J.A., Kourti, T., Macgregor, J.F., Analysis of multiblock and hierarchical PCA and PLS models. J. Chemom. 12 (1998), 301–321.
25. [25] Berglund, A., Wold, S., A serial extension of multiblock PLS. J. Chemom. 13 (1999), 461–471.
26. [26] Westerhuis, J.A., Smilde, A.K., Deflation in multiblock PLS. J. Chemom. 15 (2001), 485–493.
27. [27] Jörgensen, K., Segtnan, V., Thyholt, K., Tormod, N., A comparison of methods for analysing regression models with both spectral and designed variables. J. Chemom. 18 (2004), 451–464.
28. [28] Yaroshchyk, P., Death, D.L., Spencer, S.J., Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS. J. Anal. At. Spectrom. 27 (2012), 92–98.
29. [29] Brereton, R.G., Chemometrics for Pattern Recognition. 2009, Wiley, Chichester, U.K.
30. [30] Farrésa, M., Platikanova, S., Tsakovskib, S., Tauler, R., Comparison of the variable importance in projection (VIP) and of the selectivity ratio (SR) methods for variable selection and interpretation. J. Chemom. 29 (2015), 528–536.
31. [31] Kumar, K., Kumar, M., Kim, S., Ryu, H., Cho, Y., Insights into genomics of salt stress response in rice. Rice, 6, 2013, 27.
32. [32] Chutipaijit, S., Cha-um, S., Sompornpailin, K., High contents of proline and anthocyanin increase protective response to salinity in Oryza sativa L. ssp. indica. Aust. J. Crop. Sci. 5:10 (2011), 1191–1198.
33. [33] Parida, A.K., Das, A.B., Salt tolerance and salinity effects on plants: a review. Ecotoxicol. Environ. Saf. 60 (2005), 324–349.
34. [34] Zhang, Z., Liu, Q., Song, H., Rong, X., Abdelbagi, M.I., Responses of different rice (Oryza sativa L.) genotypes to salts stress and relation to carbohydrate metabolism and chlorophyll content. Afr. J. Agric. Res. 7:1 (2012), 19–27.