Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development

Fried bread sticks (FBS) are one of the most widely consumed deep fried food products in China. Understanding the fat and moisture content in FBS will help consumers make healthy food choices as well as assist food processors to provide FBS with desirable quality. Rapid Fourier transform near-infrar...

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Main Authors: Zhuqing Xiao, Keqiang Lai, Rui Du, Yungang Shen, Xiaohua Sun, Yun Pan, Barbara A. Rasco, Yiqun Huang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2013/973623
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author Zhuqing Xiao
Keqiang Lai
Rui Du
Yungang Shen
Xiaohua Sun
Yun Pan
Barbara A. Rasco
Yiqun Huang
author_facet Zhuqing Xiao
Keqiang Lai
Rui Du
Yungang Shen
Xiaohua Sun
Yun Pan
Barbara A. Rasco
Yiqun Huang
author_sort Zhuqing Xiao
collection DOAJ
description Fried bread sticks (FBS) are one of the most widely consumed deep fried food products in China. Understanding the fat and moisture content in FBS will help consumers make healthy food choices as well as assist food processors to provide FBS with desirable quality. Rapid Fourier transform near-infrared methods (FT-NIR) were developed for determining fat and moisture content in FBS collected from 123 different vendors in Shanghai, China. FBS samples with minimum sample preparation (either finely or coarsely ground) were used for NIR analyses. Spectra of FBS were treated with different mathematic pretreatments before being used to build models between the spectral information and fat (7.71%–30.89%) or moisture (17.39%–32.65%) content in FBS. Finely ground samples may lead to slightly more robust PLS models, but the particle sizes of ground FBS samples did not seriously affect the predictability of the models with appropriate mathematical treatments. The fat and moisture content in FBS predicted by FT-NIR methods had very good correlation with their values determined via traditional methods (fat, R2=0.965; moisture, R2=0.983), which clearly indicated that FT-NIR methods could be used as an effective tool for rapid determination of fat and moisture content in FBS.
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institution Kabale University
issn 2314-4920
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Spectroscopy
spelling doaj-art-0a20d58695a446caa58215c2117b49472025-02-03T05:57:45ZengWileyJournal of Spectroscopy2314-49202314-49392013-01-01201310.1155/2013/973623973623Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method DevelopmentZhuqing Xiao0Keqiang Lai1Rui Du2Yungang Shen3Xiaohua Sun4Yun Pan5Barbara A. Rasco6Yiqun Huang7College of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaCollege of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaCollege of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaCollege of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaCollege of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaCollege of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaSchool of Food Science, Washington State University, Pullman, WA 99164, USACollege of Food Science and Technology, Shanghai Ocean University, No. 999 Hucheng Huan Road, LinGang New City, Shanghai 201306, ChinaFried bread sticks (FBS) are one of the most widely consumed deep fried food products in China. Understanding the fat and moisture content in FBS will help consumers make healthy food choices as well as assist food processors to provide FBS with desirable quality. Rapid Fourier transform near-infrared methods (FT-NIR) were developed for determining fat and moisture content in FBS collected from 123 different vendors in Shanghai, China. FBS samples with minimum sample preparation (either finely or coarsely ground) were used for NIR analyses. Spectra of FBS were treated with different mathematic pretreatments before being used to build models between the spectral information and fat (7.71%–30.89%) or moisture (17.39%–32.65%) content in FBS. Finely ground samples may lead to slightly more robust PLS models, but the particle sizes of ground FBS samples did not seriously affect the predictability of the models with appropriate mathematical treatments. The fat and moisture content in FBS predicted by FT-NIR methods had very good correlation with their values determined via traditional methods (fat, R2=0.965; moisture, R2=0.983), which clearly indicated that FT-NIR methods could be used as an effective tool for rapid determination of fat and moisture content in FBS.http://dx.doi.org/10.1155/2013/973623
spellingShingle Zhuqing Xiao
Keqiang Lai
Rui Du
Yungang Shen
Xiaohua Sun
Yun Pan
Barbara A. Rasco
Yiqun Huang
Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development
Journal of Spectroscopy
title Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development
title_full Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development
title_fullStr Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development
title_full_unstemmed Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development
title_short Fat and Moisture Content in Chinese Fried Bread Sticks: Assessment and Rapid Near-Infrared Spectroscopic Method Development
title_sort fat and moisture content in chinese fried bread sticks assessment and rapid near infrared spectroscopic method development
url http://dx.doi.org/10.1155/2013/973623
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