Improvement of PLS calibration for Brix value and dry matter of mango using information from MLR calibration

被引:54
作者
Saranwong, S [1 ]
Sornsrivichai, J
Kawano, S
机构
[1] Chiang Mai Univ, Fac Sci, Dept Biol, Chiang Mai 50002, Thailand
[2] Natl Food Res Inst, Tsukuba, Ibaraki 3058642, Japan
关键词
near infrared (NIR) spectroscopy; non-destructive quality evaluation; wavelength region; wavelength selection; multiple linear regression (MLR); partial least squares (PLS) regression; calibration equation; Brix value; dry matter; mango;
D O I
10.1255/jnirs.314
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The possibility of using NIR spectroscopy for quality evaluation of intact mango was investigated using the short wavelength region from 700 nm to 1100 nm and the long wavelength region from 1100 nm to 2500 urn. Multiple linear regression (MLR) and partial least squares regression (PLS) were used to make the calibration equations for Brix value and dry matter (DM). The results obtained are as follows. (1) The short wavelength region was suitable for quality determination of intact mango because its penetration depth in mango flesh was higher than that of the long wavelength region. (ii) PLS calibration and validation results would be improved if the appropriate wavelength region was selected. (iii) The appropriate wavelength region for PLS regression could be estimated by using the wavelengths selected by MLR. (iv) The MLR and PLS calibration equations would have similar performance for determining Brix value and DM of intact mango if the appropriate wavelengths or wavelength region were selected.
引用
收藏
页码:287 / 295
页数:9
相关论文
共 23 条
[1]  
ABE H, 1996, REP NATL FOOD RES I, V60, P31
[2]  
*AOAC, 2000, 93214 AOAC
[3]  
BIRTH GS, 1985, J AM SOC HORTIC SCI, V110, P297
[4]  
BUDIASTRA W, 1998, J JSAM, V60, P117
[5]   Vis-NIR measurement of soluble solids in cherry and apricot by PLS regression and wavelength selection [J].
Carlini, P ;
Massantini, R ;
Mencarelli, F .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2000, 48 (11) :5236-5242
[6]  
Cho RK, 1998, JOURNAL OF NEAR INFRARED SPECTROSCOPY, VOL 6 1998, pA75
[7]   Multivariate calibration and chemometrics for near infrared spectroscopy: which method? [J].
Dardenne, P ;
Sinnaeve, G ;
Baeten, V .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2000, 8 (04) :229-237
[8]   NEAR-INFRARED ANALYSIS OF SOLUBLE SOLIDS IN INTACT CANTALOUPE [J].
DULL, GG ;
BIRTH, GS ;
SMITTLE, DA ;
LEFFLER, RG .
JOURNAL OF FOOD SCIENCE, 1989, 54 (02) :393-395
[9]  
FEARN T, 1996, NIR NEWS, V5
[10]   Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy [J].
Guthrie, J ;
Walsh, K .
AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE, 1997, 37 (02) :253-263