Full Text:   <1545>

CLC number: S666; TN219

On-line Access: 

Received: 2005-11-29

Revision Accepted: 2006-04-06

Crosschecked: 0000-00-00

Cited: 21

Clicked: 3775

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE B 2006 Vol.7 No.10 P.794~799

10.1631/jzus.2006.B0794


Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits


Author(s):  LU Hui-shan, XU Hui-rong, YING Yi-bin, FU Xia-ping, YU Hai-yan, TIAN Hai-qing

Affiliation(s):  School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China

Corresponding email(s):   ybying@zju.edu.cn

Key Words:  FT-NIR spectroscopy, Soluble solids content, Intact citrus, Partial least squares analysis, Reflectance mode


LU Hui-shan, XU Hui-rong, YING Yi-bin, FU Xia-ping, YU Hai-yan, TIAN Hai-qing. Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits[J]. Journal of Zhejiang University Science B, 2006, 7(10): 794~799.

@article{title="Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits",
author="LU Hui-shan, XU Hui-rong, YING Yi-bin, FU Xia-ping, YU Hai-yan, TIAN Hai-qing",
journal="Journal of Zhejiang University Science B",
volume="7",
number="10",
pages="794~799",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.B0794"
}

%0 Journal Article
%T Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits
%A LU Hui-shan
%A XU Hui-rong
%A YING Yi-bin
%A FU Xia-ping
%A YU Hai-yan
%A TIAN Hai-qing
%J Journal of Zhejiang University SCIENCE B
%V 7
%N 10
%P 794~799
%@ 1673-1581
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.B0794

TY - JOUR
T1 - Application Fourier transform near infrared spectrometer in rapid estimation of soluble solids content of intact citrus fruits
A1 - LU Hui-shan
A1 - XU Hui-rong
A1 - YING Yi-bin
A1 - FU Xia-ping
A1 - YU Hai-yan
A1 - TIAN Hai-qing
J0 - Journal of Zhejiang University Science B
VL - 7
IS - 10
SP - 794
EP - 799
%@ 1673-1581
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.B0794


Abstract: 
Nondestructive method of measuring soluble solids content (SSC) of citrus fruits was developed using Fourier transform near infrared reflectance (FT-NIR) measurements collected through optics fiber. The models describing the relationship between SSC and the NIR spectra of citrus fruits were developed and evaluated. Different spectra correction algorithms (standard normal variate (SNV), multiplicative signal correction (MSC)) were used in this study. The relationship between laboratory SSC and FT-NIR spectra of citrus fruits was analyzed via principle component regression (PCR) and partial least squares (PLS) regression method. Models based on the different spectral ranges were compared in this research. The first derivative and second derivative were applied to all spectra to reduce the effects of sample size, light scattering, instrument noise, etc. Different baseline correction methods were applied to improve the spectral data quality. Among them the second derivative method after baseline correction produced best noise removing capability and yielded optimal calibration models. A total of 170 NIR spectra were acquired; 135 NIR spectra were used to develop the calibration model; the remaining spectra were used to validate the model. The developed PLS model describing the relationship between SSC and NIR reflectance spectra could predict SSC of 35 samples with correlation coefficient of 0.995 and RMSEP of 0.79 °Brix.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Antti, H., 1999. Multivariate Characterization of Wood Related Materials. Ph.D. Thesis, University of Umea, Umea, Sweden.

[2] Chang, W., Chen, S., Guo, L., 1998. Determination of sugar content in cantaloupe (II) near infrared spectroscopy. Journal of Agricultural Machinery, 7(1):87-98.

[3] Chen, C., Shaw, J., 1999. Determination of the sugar content and acidity of pears by a portable near-infrared spectrophotometer. Journal of Agricultural Machinery, 8(1):49-57.

[4] Kawano, S., Sato, T., Iwamoto, M., 1992. Determination of Sugars in Satsuma Orange Using NIR Transmittance. In: Murray, I. (Ed.), Proceedings of the Fourth International Conference on NIR Spectroscopy. School of Agriculture, Aberdeen, Scotland.

[5] Lammertyn, J., Nicolay, B., Ooms, K., de Semedt, V., de Baerdemaeker, J., 1998. Non-destructive measurement of acidity, soluble solids and firmness of Jonagold apples using NIR-spectroscopy. Transactions of the ASAE, 41(4):1089-1094.

[6] Liu, Y., Ying, Y., Chen, Z., Fu, X., 2004. Application of Near Infrared Spectroscopy with Fiber Optics for Detecting Interior Quality in Peaches. Proceedings of SPIE—The International Society for Optical Engineering, V5271: Monitoring Food Safety, Agriculture, and Plant Health. Boston, USA, p.347-355.

[7] Lu, R., 2001. Predicting firmness and sugar content of sweet cherries using near-infrared diffuse reflectance spectroscopy. Transactions of the ASAE, 44(5):1265-1271.

[8] Lu, R., Ariana, D.A., 2002. Near-infrared sensing technique for measuring internal quality of apple fruit. Applied Engineering in Agriculture, 18(5):585-590.

[9] Peiris, K.H.S., Dull, G.G., Leffler, R.G., Kays, S.J., 1999. Spatial variability of soluble solids or dry-matter content within individual fruits, bulbs, or tubers: implications for the development and use of NIR spectrometric techniques. HortScience, 34(1):114-118.

[10] Slaughter, D.C., 1995. Nondestructive determination of internal quality in peaches and nectarines. Transactions of the ASAE, 38(2):617-623.

[11] Slaughter, D.C., Thompson, J.F., Tan, E.S., 2003. Nondestructive determination of total and soluble solids in fresh prune using near infrared spectroscopy. Postharvest Biology and Technology, 28(3):437-444.

[12] Ying, Y., Liu, Y., Wang, J., Jiang, H., 2004. Non-Destructive Measurement of Sugar Content in Fuji Apple with Bifurcated Fiber Optic Sensor. Proceedings of SPIE—The International Society for Optical Engineering, V5272: Industrial and Highway Sensors Technology. Boston, USA, p.263-272.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE