An Ultrasensitive Light-up Cu<sup>2+</sup> Biosensor Using a New DNAzyme Cleaving a Phosphorothioate-Modified Substrate
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Bibliographic record
Abstract
Cu(2+) is a very important metal ion in biology, environmental science, and industry. Developing biosensors for Cu(2+) is a key topic in analytical chemistry. DNAzyme-based sensors are highly attractive for their excellent sensitivity, stability, and programmability. In the past decade, a few Cu(2+) biosensors were reported using DNAzymes with DNA cleavage or DNA ligation activity. However, they require unstable ascorbate or imidazole activation. So far, no RNA-cleaving DNAzymes specific for Cu(2+) are known. In this work, a phosphorothioate (PS) RNA-containing library was used for in vitro selection, and a few new Cu(2+)-specific RNA-cleaving DNAzymes were isolated. Among them, a DNAzyme named PSCu10 was studied further. It has only eight nucleotides in the enzyme loop with a cleavage rate of 0.1 min(-1) in the presence of 1 μM Cu(2+) at pH 6.0 (its optimal pH). Between the two diastereomers of the PS RNA chiral center, the R(p) isomer is 37 times more active than the S(p) one. Among the other divalent metal ions, only Hg(2+) can cleave the substrate due to its extremely high thiophilicity. A catalytic beacon sensor was designed with a detection limit of 1.6 nM Cu(2+) and extremely high selectivity. PSCu10 is specific for Cu(2+), and it has no cleavage in the presence of ascorbate, which reduces Cu(2+) to Cu(+).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it