CLC number: TS255
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2009-01-05
Cited: 8
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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.
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