Electrochemical Studies of Amino Acid: Metal Ion Interactions
Bibliographic record
Abstract
Introduction Previous studies (1-3) in this laboratory have involved electrochemical studies of the interaction of Zn(II) ions with L-cysteine in an attempt to more fully characterize the formation of “zinc finger” proteins (4). Subsequent work has involved similar investigations of L-histidine (5), and the work has now been extended to L-tryptophan. Clear evidence for the formation of Zn(II) complexes with L-cysteine and L-histidine has been obtained by cyclic voltammetric peak potential shifts for zinc ion reduction (2, 5). In the present study, we have extended this work to L-tryptophan by means of voltammetric studies of the amino acid and by investigation of its interactions with metals such as zinc and copper. Results for the interaction of bismuth(III) with L-cysteine and with glutathione, prompted by the significance of such interactions in human biochemistry (6-8), are also planned for presentation. Experimental L-Cysteine, L-glutathione, L-histidine, and MOPS (3-(N-morpholino)propanesulfonic acid) were obtained from Sigma-Aldrich Corporation, and L-tryptophan was obtained from Nutritional Biochemicals Corporation. Electrochemical experiments were carried out under nitrogen using a Gamry Instruments Interface 1000 potentiostat and Gamry Framework software. Working electrodes were obtained from BASi (Glassy carbon, 3.0 mm diameter; platinum 1.6 mm) and eDAQ (gold, 1.0 mm diameter). Potentials were measured with respect to a silver/silver chloride saturated KCl reference electrode (BASi). Results and Discussion Electrochemical studies of L-tryptophan in pH 7.4 phosphate buffer have shown that this amino acid undergoes oxidation at +0.82 V vs Ag/AgCl at 100 mV/s, which is a considerably less positive potential than that observed for L-histidine (5). The effects of L-tryptophan additions to ZnSO4 added to pH 7.4 MOPS buffer were found to be generally similar to those for L-histidine (5). For the case of interactions of L-cysteine with Bi(III) in pH 7.4 MOPS buffer, Bi(NO3)3 was added to pH 7.4 MOPS buffer resulting in the formation of slightly soluble hydroxyl bismuth complexes. Upon addition of 1:1 bismuth(III):L-cysteine, the solution appearance changed from cloudy to clear, and voltammetric currents increased substantially, indicating a strong interaction between bismuth(III) and L-cysteine. In addition, a negative voltammetric shift for the bismuth(III) reduction potential was observed, as was the case for the zinc(II):L-cysteine interaction (2). Further additions of L-cysteine were found to produce additional negative shifts for bismuth(III) reduction. Similar behavior for L-glutathione was observed. MALDI-TOF spectra for the 1:2 Bi(III):L-glutathione and similar complexes in aqueous solutions have been reported (10) and provide supporting evidence for the electrochemical results in the present study. A similar spectrum for the 1:2 Bi(III):L-glutathione complex in pH 7.4 MOPS buffer has been obtained in the present work. References 1. G. T. Cheek and M. A. Worosz, ECS Transactions, 2016, 72(27), 1-8. 2. M. Y. Doan, M. A. Worosz, and G.T. Cheek, ECS Transactions, 2017, 77(11), 1537-1544. 3. G. T. Cheek, M. A. Worosz, M. Y. Doan, and D. C. Clark, ECS Transactions 2017 80(10), 1159-1166. 4. C.K. Mathews, K.E. Van Holde, D.R. Appling, and S. J. Anthony-Cahill, Biochemistry, 4th Edition, Pearson Canada, Toronto, 2013. 5. D.C. Clark and G.T. Cheek, ECS Transactions, 2018, 85(13), 1123-1131. 6. G. G. Briand and N. Burford, Chem. Rev., 1999, 99, 2601-2657. 7. R. Ge and H. Sun, Acc. Chem. Res., 2007, 40, 267-274. 8. Y. Hong, Y.-T Lai, G. C-F Chan, and H. Sun, PNAS, 2015, 112(11), 3211–3216. 9. J. Kragten, L. G. Decnop-Weever, and P. Gründler, Talanta, 1993, 40(4), 485-490. 10. N. Burford, M. D. Eelman, D. E. Mahony, and M. Morash, Chem. Commun., 2003, 146–147.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".