Full Text:   <3293>

CLC number: TS255

On-line Access: 

Received: 2008-03-26

Revision Accepted: 2008-10-08

Crosschecked: 2009-01-05

Cited: 8

Clicked: 6168

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE B 2009 Vol.10 No.2 P.120-125

http://doi.org/10.1631/jzus.B0820097


Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy


Author(s):  Xia-ping FU, Jian-ping LI, Ying ZHOU, Yi-bin YING, Li-juan XIE, Xiao-ying NIU, Zhan-ke YAN, Hai-yan YU

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

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

Key Words:  Near infrared (NIR) spectroscopy, Loquats, Soluble solid content (SSC), Acidity, Partial least square (PLS), Modeling, Spectra preprocessing


Xia-ping FU, Jian-ping LI, Ying ZHOU, Yi-bin YING, Li-juan XIE, Xiao-ying NIU, Zhan-ke YAN, Hai-yan YU. Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy[J]. Journal of Zhejiang University Science B, 2009, 10(2): 120-125.

@article{title="Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy",
author="Xia-ping FU, Jian-ping LI, Ying ZHOU, Yi-bin YING, Li-juan XIE, Xiao-ying NIU, Zhan-ke YAN, Hai-yan YU",
journal="Journal of Zhejiang University Science B",
volume="10",
number="2",
pages="120-125",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B0820097"
}

%0 Journal Article
%T Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy
%A Xia-ping FU
%A Jian-ping LI
%A Ying ZHOU
%A Yi-bin YING
%A Li-juan XIE
%A Xiao-ying NIU
%A Zhan-ke YAN
%A Hai-yan YU
%J Journal of Zhejiang University SCIENCE B
%V 10
%N 2
%P 120-125
%@ 1673-1581
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B0820097

TY - JOUR
T1 - Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy
A1 - Xia-ping FU
A1 - Jian-ping LI
A1 - Ying ZHOU
A1 - Yi-bin YING
A1 - Li-juan XIE
A1 - Xiao-ying NIU
A1 - Zhan-ke YAN
A1 - Hai-yan YU
J0 - Journal of Zhejiang University Science B
VL - 10
IS - 2
SP - 120
EP - 125
%@ 1673-1581
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B0820097


Abstract: 
The near infrared (NIR) spectroscopy technique has been applied in many fields because of its advantages of simple preparation, fast response, and non-destructiveness. We investigated the potential of NIR spectroscopy in diffuse reflectance mode for determining the soluble solid content (SSC) and acidity (pH) of intact loquats. Two cultivars of loquats (Dahongpao and Jiajiaozhong) harvested from two orchards (Tangxi and Chun’an, Zhejiang, China) were used for the measurement of NIR spectra between 800 and 2500 nm. A total of 400 loquats (100 samples of each cultivar from each orchard) were used in this study. Relationships between NIR spectra and SSC and acidity of loquats were evaluated using partial least square (PLS) method. spectra preprocessing options included the first and second derivatives, multiple scatter correction (MSC), and the standard normal variate (SNV). Three separate spectral windows identified as full NIR (800~2500 nm), short NIR (800~1100 nm), and long NIR (1100~2500 nm) were studied in factorial combination with the preprocessing options. The models gave relatively good predictions of the SSC of loquats, with root mean square error of prediction (RMSEP) values of 1.21, 1.00, 0.965, and 1.16 °Brix for Tangxi-Dahongpao, Tangxi-Jiajiaozhong, Chun’an-Dahongpao, and Chun’an-Jiajiaozhong, respectively. The acidity prediction was not satisfactory, with the RMSEP of 0.382, 0.194, 0.388, and 0.361 for the above four loquats, respectively. The results indicate that NIR diffuse reflectance spectroscopy can be used to predict the SSC and acidity of loquat fruit.

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

Reference

[1] Ariana, P.D., Lu, R., Guyer, E.D., 2006. Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers. Computers and Electronics in Agriculture, 53(1):60-70.

[2] China Standard, 1989. GB 10468-89, Detection of pH Value in Fruit and Vegetables. Standard Press of China, Beijing (in Chinese).

[3] China Standard, 1990. GB 12295-1990, Detection of Soluble Solids Content in Fruit and Vegetables—Refractometer Method. Standard Press of China, Beijing (in Chinese).

[4] Fu, X.P., Ying, Y.B., Zhou, Y., Xie, L.J., Xu, H.R., 2008. Application of NIR spectroscopy for firmness evaluation of peaches. Journal of Zhejiang University SCIENCE B, 9(7):552-557.

[5] Herschel, W., 1800. Investigation of the powers of the prismatic colors to heat and illuminate objects. Philosophical Transactions of the Royal Society of London (1776-1886), 90:255-283.

[6] Hsieh, C., Lee, Y., 2005. Applied visible/near-infrared spectroscopy on detection the sugar content and hardness of pearl guava. Applied Engineering in Agriculture, 21(6): 1039-1046.

[7] Kawano, S., Fujiwara, T., Iwamoto, M., 1993. Nondestructive determination of sugar content in satsuma mandarin using near infrared (NIR) transmittance. J. Japan Soc. Hort. Soc., 62(2):465-470.

[8] Lammertyn, J., Peirs, A., Baerdemaeker, J.D., Nicolai, B., 2000. Light penetration properties of NIR radiation in fruit with respect to nondestructive quality assessment. Postharvest Biology and Technology, 18(2):121-132.

[9] Liu, Y., Ying, Y., 2005. An optical system for measurement of internal pear quality using near-infrared spectroscopy. Journal of Optical Engineering, 47(7):1-5.

[10] Liu, Y., Luo, L., Ouyang, A., 2007. Visible transmittance techniques fresh navel orange juices for rapid analysis of sugar content. Spectroscopy and Spectral Analysis, 27(3):569-572 (in Chinese).

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

[12] McGlone, V.A., Jordan, R.B., Martinsen, P.J., 2002. Vis/NIR estimation at harvest of pre- and post-storage quality indices for ‘Royal Gala’ apple. Postharvest Biology and Technology, 25(2):135-145.

[13] Mercurl, A.J., Thomson, J.E., Rowan, J.D., Norris, K.H., 1957. Use of the automatic green-rot detector to improve the quality of liquid egg. Food Technol., 11:374-377.

[14] 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, 43:114-118.

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

[16] Ventura, M., Jager, A.D., Putter, H.D., Roelofs, F.P., 1998. Nondestructive determination of soluble solid in apple fruit by near infrared spectroscopy (NIRS). Postharvest Biology and Technology, 14(1):21-27.

[17] Ying, Y., Liu, Y., Wang, J., Fu, X., Li, Y., 2005. Fourier transform near-infrared determination of total soluble solids and available acid in intact peaches. Transaction of ASAE, 48(1):229-234.

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 - 2024 Journal of Zhejiang University-SCIENCE