Protein quantification in complex samples using gel electrophoresis with online intrinsic fluorescence imaging and Gaussian fitting arithmetic

Traditional polyacrylamide gel electrophoresis (PAGE) has been widely used for analysis of proteins. However, protein quantification (PQ) based on SDS-PAGE with staining remains inaccurate, time-consuming and complex. Even though PAGE with online intrinsic fluorescence imaging (IFI) has well addressed these issues, it still suffers from the narrow detection window of 8 lanes and poor quantitation owing to low resolution. Herein, we improved the gel electrophoresis tank (GET) for a wider detection window of 10 lanes with uniform UV radiation and developed a Gaussian fitting arithmetic for accurate PQ at low resolutions. To demonstrate the improvement, we used bovine serum albumin (BSA) in whey samples as a model protein and conducted the relevant experiments. As demonstrated by the experiments, the IFI system could be well used for the simultaneous real-time imaging analysis of 10 lanes. In particular, the Gaussian fitting-based analyzer could be used for the computation of peak area with low resolution, greatly improving the function of PAGE-IFI for protein analysis of complex samples. In addition, the developed method exhibited a good limit of detection (LOD) of 14 ng and limit of quantification (LOQ) of 42 ng, a fair dynamic range of 50-8000 ng, recovery of 106.37% for a urine sample, recovery of 94.96% for the whey sample, intra-day RSD value of 9.17%, and inter-day RSD value of 10.06%. All these results indicated the potential of the developed GET, Gaussian fitting-based analyzer and the proposed method for the determination of protein in complex samples.

Authors

Institutions

Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d4ay02064b
Citations
2
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protein quantification in complex samples using gel electrophoresis with online intrinsic fluorescence imaging and Gaussian fitting arithmetic

Yiren Cao, K.-W. Chen, X. Y. Zhai, Chengxi Cao et al.
2 citations
Analytical Methods
Advanced Proteomics Techniques and Applications
1.51
article

Protein quantification in complex samples using gel electrophoresis with online intrinsic fluorescence imaging and Gaussian fitting arithmetic

Yiren Cao, K.-W. Chen, X. Y. Zhai, Chengxi Cao, Youli Tian, Zixian Yu, Xu Xu, Qiang Zhang
article en
2 citations

Abstract

Traditional polyacrylamide gel electrophoresis (PAGE) has been widely used for analysis of proteins. However, protein quantification (PQ) based on SDS-PAGE with staining remains inaccurate, time-consuming and complex. Even though PAGE with online intrinsic fluorescence imaging (IFI) has well addressed these issues, it still suffers from the narrow detection window of 8 lanes and poor quantitation owing to low resolution. Herein, we improved the gel electrophoresis tank (GET) for a wider detection window of 10 lanes with uniform UV radiation and developed a Gaussian fitting arithmetic for accurate PQ at low resolutions. To demonstrate the improvement, we used bovine serum albumin (BSA) in whey samples as a model protein and conducted the relevant experiments. As demonstrated by the experiments, the IFI system could be well used for the simultaneous real-time imaging analysis of 10 lanes. In particular, the Gaussian fitting-based analyzer could be used for the computation of peak area with low resolution, greatly improving the function of PAGE-IFI for protein analysis of complex samples. In addition, the developed method exhibited a good limit of detection (LOD) of 14 ng and limit of quantification (LOQ) of 42 ng, a fair dynamic range of 50-8000 ng, recovery of 106.37% for a urine sample, recovery of 94.96% for the whey sample, intra-day RSD value of 9.17%, and inter-day RSD value of 10.06%. All these results indicated the potential of the developed GET, Gaussian fitting-based analyzer and the proposed method for the determination of protein in complex samples.

Analytical MethodsVol. 17(27)
Shanghai Jiao Tong University (CN), Shanghai Institute of Technology (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 18%
Advanced Proteomics Techniques and Applications
1.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.