title: Optimisation of near-infrared reflectance model in measuring protein and amylose content of rice flour.
abstract: Near-infrared reflectance spectroscopy (NIRS) has been used to predict the cooking quality parameters of rice, such as the protein (PC) and amylose content (AC). Using brown and milled flours from 519 rice samples representing a wide range of grain qualities, this study was to compare the calibration models generated by different mathematical, preprocessing treatments, and combinations of different regression algorithm. A modified partial least squares model (MPLS) with the mathematic treatment "2, 8, 8, 2" (2nd order derivative computed based on 8 data points, and 8 and 2 data points in the 1st and 2nd smoothing, respectively) and inverse multiplicative scattering correction preprocessing treatment was identified as the best model for simultaneously measurement of PC and AC in brown flours. MPLS/"2, 8, 8, 2"/detrend preprocessing was identified as the best model for milled flours. The results indicated that NIRS could be useful in estimation of PC and AC of breeding lines in early generations of the breeding programs, and for the purposes of quality control in the food industry.
authors.affiliation: China National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, PR China.
authors.forename: L H
authors.initials: LH
authors.lastname: Xie
authors.forename: S Q
authors.initials: SQ
authors.lastname: Tang
authors.forename: N
authors.initials: N
authors.lastname: Chen
authors.forename: J
authors.initials: J
authors.lastname: Luo
authors.forename: G A
authors.initials: GA
authors.lastname: Jiao
authors.forename: G N
authors.initials: GN
authors.lastname: Shao
authors.forename: X J
authors.initials: XJ
authors.lastname: Wei
authors.forename: P S
authors.initials: PS
authors.lastname: Hu
mesh_terms: D000688:Amylose / Q000737:chemistry*; D005433:Flour / Q000032:analysis*; D012275:Oryza / Q000737:chemistry*; D010940:Plant Proteins / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D010940:Plant Proteins; D000688:Amylose
keywords: 1 minus variance ratio; 1−VR; AC; Amylose content; Calibration equation; DPS; GH; Global H distance; INQR; MLR; MPLS; MSC; NIRS; PC; PCR; PLS; Protein; RSQ; SD; SEC; SECV; SEP; SEP(C); SNV; amylose content; average of the residuals; bias; coefficient of determination; corrected standard error; data processing system; international network for quality rice; modified partial least squares; multiple linear regressions; near-infrared reflectance spectroscopy; partial least squares regression; principal component regression; protein content; standard deviations; standard error; standard error of calibration; standard error of cross validation; standard multiplicative scattering correction; standard normal variant