A novel fluorescent biosensor based on affinity-enhanced aptamer-peptide conjugate for sensitive detection of lead(II) in aquatic products
Lead contamination is a major concern in food safety and, as such, many lead detection methods have been developed, especially aptamer-based biosensors. However, the sensitivity and environmental tolerance of these sensors require improvement. A combination of different types of recognition elements...
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Veröffentlicht in: | Analytical and bioanalytical chemistry 2023-07, Vol.415 (17), p.3463-3474 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Lead contamination is a major concern in food safety and, as such, many lead detection methods have been developed, especially aptamer-based biosensors. However, the sensitivity and environmental tolerance of these sensors require improvement. A combination of different types of recognition elements is an effective way to improve the detection sensitivity and environmental tolerance of biosensors. Here, we provide a novel recognition element, an aptamer-peptide conjugate (APC), to achieve enhanced affinity of Pb
2+
. The APC was synthesized from Pb
2+
aptamers and peptides through clicking chemistry. The binding performance and environmental tolerance of APC with Pb
2+
was studied through isothermal titration calorimetry (ITC); the binding constant (
K
a
) was 1.76*10
6
M
−1
, indicating that the APC’s affinity was increased by 62.96% and 802.56% compared with the aptamers and peptides, respectively. Besides, APC demonstrated better anti-interference (K
+
) than aptamer and peptide. Through the molecular dynamics (MD) simulation, we found that more binding sites and stronger binding energy between APC with Pb
2+
are the reasons for higher affinity between APC with Pb
2+
. Finally, a carboxyfluorescein (FAM)-labeled APC fluorescent probe was synthesized and a fluorescent detection method for Pb
2+
was established. The limit of detection of the FAM-APC probe was calculated to be 12.45 nM. This detection method was also applied to the swimming crab and showed great potential in real food matrix detection.
Graphical abstract |
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ISSN: | 1618-2642 1618-2650 |
DOI: | 10.1007/s00216-023-04735-2 |