Quick Navigation
Topics
Spin Qubits Silicon Quantum Computing
Quantum Chemistry
Smartphone-aided paper imprinted aptasensor for the ultrasensitive detection of lead in aquatic products.
PubMed
Authors: Li X, Yuan M, Li M, Li J, Zhang S, Xu F
Year
2026
Paper ID
9657
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
154
Citations
N/A
Abstract
A fluorescent biosensor was synthesized for sensitive detection of lead ions by integrating aptamer with ion imprinted polymer. ZnSe@ZnS quantum dots served as the fluorescence indicator and aptamers served as recognition elements. Specific and rapid detection of lead ions was achieved through imprinting cavities containing aptamers with specific conformations. The resulting biosensor, after optimization via the multi-factor response surface methodology, can detect lead with a detection limit as low as 0.56 nmol L (the detection limit in aquatic products is 47.73 μg/kg). Furthermore, a paper-based biosensor was developed using glass cellulose paper as the carrier material for the portable and rapid determination of lead ions in aquatic products. The proposed paper-based biosensor significantly reduces the detection time from 10 min to 1 min, and the recoveries ranged from 88.06 % to 107.29 %, which were validated using the ICP-MS method. These findings demonstrate that the biosensor provides a sensitive and rapid method for detecting heavy metals in complex food matrices.
Why This Paper Matters
- This paper contributes to the Quantum Chemistry research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- A fluorescent biosensor was synthesized for sensitive detection of lead ions by integrating aptamer with ion imprinted polymer.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.