CAS OpenIR  > 生化工程国家重点实验室
A novel digital color analysis method for rapid glucose detection
Xia, Meng-lei1,2; Wang, Lan1; Yang, Zhi-xia3; Chen, Hong-zhang1
2015
Source PublicationANALYTICAL METHODS
ISSN1759-9660
Volume7Issue:16Pages:6654-6663
AbstractThe spectrophotometer is the most used analysis equipment in traditional colorimetric methods. However, the operation of using a spectrophotometer is time-consuming and labor-intensive, which presents practical difficulties in rapid detection. To this end, we present a digital color analysis method, using the typical 3,5-dinitrosalicylic acid (DNS) method for glucose detection as an example. The primary colors from 3 color spaces (Red-Green-Blue, Hue-Saturation-Value, Hue-Saturation-Intensity) were studied as quantitative analytical parameters for the glucose concentration and the red color (from the Red-Green-Blue colorspace) of the assay image provides superior prediction precision (>99.8%). Combined with the color analysis, two calculation algorithms, nonlinear regression and artificial neural networks, were compared for the detection of a high concentration of glucose. Then a microtiter plate (48-well plate) platform, based on the color analysis, was set up. Compared to existing methods using a spectrophotometer, the digital color analysis method has a large detection range (0-10 g L-1), high accuracy (0.07 g L-1) and fast detection rate (150 samples detected within about 15 min). It also shows great promise for use in a variety of reducing sugar measurements such as xylose, fructose and maltose. These aforementioned features render this newly developed method highly suitable for quick detection applications.
SubtypeArticle
WOS HeadingsScience & Technology ; Physical Sciences ; Life Sciences & Biomedicine ; Technology
DOI10.1039/c5ay01233c
Indexed BySCI
Language英语
WOS KeywordENHANCED RAMAN-SPECTROSCOPY ; NEURAL-NETWORKS ; BIOSENSOR ; SURFACES ; SENSOR
WOS Research AreaChemistry ; Food Science & Technology ; Spectroscopy
WOS SubjectChemistry, Analytical ; Food Science & Technology ; Spectroscopy
WOS IDWOS:000359360400026
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/19443
Collection生化工程国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
3.Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Recommended Citation
GB/T 7714
Xia, Meng-lei,Wang, Lan,Yang, Zhi-xia,et al. A novel digital color analysis method for rapid glucose detection[J]. ANALYTICAL METHODS,2015,7(16):6654-6663.
APA Xia, Meng-lei,Wang, Lan,Yang, Zhi-xia,&Chen, Hong-zhang.(2015).A novel digital color analysis method for rapid glucose detection.ANALYTICAL METHODS,7(16),6654-6663.
MLA Xia, Meng-lei,et al."A novel digital color analysis method for rapid glucose detection".ANALYTICAL METHODS 7.16(2015):6654-6663.
Files in This Item:
File Name/Size DocType Version Access License
A novel digital colo(943KB)期刊论文出版稿限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xia, Meng-lei]'s Articles
[Wang, Lan]'s Articles
[Yang, Zhi-xia]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xia, Meng-lei]'s Articles
[Wang, Lan]'s Articles
[Yang, Zhi-xia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xia, Meng-lei]'s Articles
[Wang, Lan]'s Articles
[Yang, Zhi-xia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.