Efficient Detection of Pre-Proinsulin by Double Antibody Sandwich ELISA
Source abstract
Abstract
To detect residual pre-proinsulin (PPI) in recombinant human insulin production, an analytical method based on double-antibody sandwich ELISA was developed in this study. The BALB/c mice were immunized with PPI, and the hybridomas secreting anti-PPI monoclonal antibodies were obtained using the conventional cell fusion technique and ELISA screening. We purified the antibody using a Protein G gel column and identified its purity by SDS-PAGE. The sandwich ELISA was used to explore the pairing effect, and the specificity of the paired antibody was determined. We selected a paired antibody with relatively good specificity to establish sandwich ELISA, constructed a quantitative curve, and evaluated the accuracy and sensitivity of the method. Six anti-PPI monoclonal antibodies were obtained, named P1, P2, P3, P4, P5 and P6, of which P5 had the highest titer value. The sandwich ELISA method was established with P5 for plating and P2 as detection antibodies. The linear range of the quantitative curve of PPI by sandwich ELISA was 0.645 to 82.5 pg/mL, the recovery was 95% and the detection limit was 3.06 pg/mL. In this study, we prepared six anti-PPI monoclonal antibodies and established the sandwich ELISA method to detect PPI in process control and product release control for recombinant human insulin production.
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Research context
OpenAlex topics: Viral Infectious Diseases and Gene Expression in Insects · Protein purification and stability · Monoclonal and Polyclonal Antibodies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China
Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Hefei Tianmai Biotechnology Development Co., Ltd., Hefei 230061, China
Funding
financial support from the Major Projects of Science and Technology of Anhui Province · China National Key Research and Development Program
References (24)
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