Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy

Transactions of the American Society of Agricultural Engineers

Volumn 41, Issue 4, 1998, Pages 1089-1094

  Lammertyn, J ^a   Nicolai B ^a,b   Ooms, K ^d   De Smedt, V ^a   De Baerdemaeker, J ^b,c  

^a De Croylaan 42   (Belgium)

^b ASAE ^*

^c UNIVERSITY OF LEUVEN   (Belgium)

^d CQ Consultancy   (Belgium)

Author keywords

Acidity; Apple; NIR; PLS; Quality; Stiffness; Sugar; Texture

Indexed keywords

ACIDITY; APPLE; CHEMICAL ANALYSIS; INFRARED SPECTROSCOPY; PH; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

ACIDITY; CORRELATION METHODS; ELASTIC MODULI; ERROR ANALYSIS; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NONDESTRUCTIVE EXAMINATION; REGRESSION ANALYSIS; STIFFNESS; TEXTURES;

PARTIAL LEAST SQUARES (PLS) ANALYSIS; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENT REGRESSION (PCR) ANALYSIS; STANDARD ERROR OF PREDICTION (SEP);

FRUITS;

EID: 0032122291     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Bellon-Maurel, V. 1992. Application de la spectroscopie proche infrarouge au contrôle en ligne de la qualité des fruits et légumes, Thèse de doctorat. (Application of NIR-spectroscopy in on line control system for quality of fruits and vegetables, Ph.D. thesis.) l'Institut National Polytechnique de Toulouse, Toulouse, France.
2. Bilanski, W. K., C. L. Pen, and D. R. Fuzzen. 1984. Apple bruise detection using optical reflectance parameters. Canadian Agric. Engng. 26(2): 111-114.
3. Brown, G. K., L. J. Segerlind, and R. Summitt. 1974. Near-infrared reflectance of bruised apples. Transactions of the ASAE 17(1): 17-19.
4. Chen, H., and J. De Baerdemaeker. 1993. Effect of apple shape on acoustic measurements of firmness. J. Agric. Engng. Res. 56: 253-266.
5. De Jong, S. 1993. PLS fits closer than PCR. J. Chemometr. 7: 551-557.
6. Haaland, D. M., and E. V. Thomas. 1988. Partial least squares methods for spectral analysis. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Analytical Chem. 60: 1193-1202.
7. Kawano, S., H. Watanabe, and M. Iwamoto. 1992. Determination of sugar content in intact peaches by near infrared spectroscopy with fibre optics in interactance mode. J. Japanese Soc. Hort. Sci. 61(2): 445-451.
8. Lovász, T., P. Merész, and A. Salgo. 1994. Application of near infrared transmission spectroscopy for the determination of some quality parameters of apples. J. Near Infrared Spectro. 2: 213-221.
9. Martens, H., and T. Naes. 1987. Multivariate calibration by data compression. In Near- infrared Technology in the Agricultural and Food Industries, eds. P. C. Williams, and K. H. Norris. St. Paul, Minn.: Am. Assoc. Cereal Chemists.
10. Moons, E., A. Dubois, P. Dardenne, and M. Sindic. 1997. Non-destructive visible and NIR spectroscopy for the determination of internal quality in apple. In Proc., Sensors for Non-destructive Testing Int'l. Conf., Orlando, Florida, February. Ithaca, N.Y.:Northeast Regional Agricultural Engineering Service.
11. Pen, C. L., W. K. Bilanski, and D. R. Fuzzen. 1985. Classification analysis of good and bruised apple tissue using the measured optical reflectance. Transactions of the ASAE 18(1): 326-330.
12. Savitzky, A., and M. J. E. Golay. 1964. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chem. 36: 1627-1639.
13. Slaughter, D. C. 1995. Non-destructive determination of internal quality in peaches and nectarines. Transactions of the ASAE 38(2): 617-623.
14. Upchurch, B. L., J. A. Throop, and D. J. Aneshansley. 1994. Influence of time, bruise-type, and severity on near-infrared reflectance from apple surfaces for automatic bruise detection. Transactions of the ASAE 37(5): 1571-1575.
15. Wold, S., K. Esbensen, and P. Geladi. 1987. Principal component analysis. Chemometrics and Intelligent Lab. Sys. 2: 37-52.