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Selection and identification of high-affinity aptamer of Kunitz trypsin inhibitor and their application in rapid and specific detection.
Bao, Yunxiang; Zhu, Dengzhao; Zhao, Yang; Li, Xinzhu; Gu, Chunmei; Yu, Hansong.
Affiliation
  • Bao Y; College of Food Science and Engineering Jilin Agricultural University Changchun China.
  • Zhu D; College of Food Science and Engineering Jilin Agricultural University Changchun China.
  • Zhao Y; College of Food Science and Engineering Jilin Agricultural University Changchun China.
  • Li X; Division of Soybean Processing Soybean Research & Development Center Chinese Agricultural Research System Changchun China.
  • Gu C; College of Food Science and Engineering Jilin Agricultural University Changchun China.
  • Yu H; College of Food Science and Engineering Jilin Agricultural University Changchun China.
Food Sci Nutr ; 10(3): 953-963, 2022 Mar.
Article in En | MEDLINE | ID: mdl-35282009
Kunitz trypsin inhibitor (KTI), a harmful protein, seriously affects food hygiene and safety. Therefore, a sensitive, efficient, and rapid method for KTI detection is urgently needed. Aptamers are short and single-stranded (ss) DNA that recognize target molecules with high affinity. This work used graphene oxide-SELEX (GO-SELEX) to screen KTI aptamers. The positive and reverse screening was designed to ensure the high specificity and affinity of the selected aptamers. After 10 rounds of screening, multiple nucleic acid chains were obtained, and the chains were sequenced. Three aptamers with better affinity were obtained, and the values of the dissociation constant (K d) were calculated to be 52.6 nM, 22.7 nM, and 67.9 nM, respectively. Finally, a colorimetric aptamer biosensor based on gold nanoparticles (AuNPs) was constructed. The biosensor exhibited a broader linear range of 30-750 ng/ml, with a lower detection limit of 18 ng/ml, and the spiked recovery rate was between 98.2% and 103.3%. This experiment preliminary demonstrated the potential of the application of KTI aptamer in the real sample tests.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Food Sci Nutr Year: 2022 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Food Sci Nutr Year: 2022 Document type: Article Country of publication: United States