Organic photovoltaic cells based on photoactive bacteriorhodopsin proteins
Bibliographic record
Abstract
Recent advances in materials engineering have enabled photovoltaic (PV) cells to be fabricated from solid state semiconductors, photosensitive organic dyes, and photoactive proteins. One type of organic PV cell is based on the natural light-harvesting protein bacteriorhodopsin (bR) found in the plasma membrane of a salt marsh archaebacteria. When exposed to sunlight, each bR molecule acts as a simple proton pump which transports hydrogen ions from the cytoplasmic to the extracellular side through a transmembrane ion channel. Two types of bR-PV cells comprised of photosensitive dry and aqueous (wet) bR thin films are described in this paper. The self-assembled monolayer of oriented purple membrane (PM) patches from the bR protein is created on a bio-functionalized gold (Au) surface using a biotin molecular recognition technique. The dry bR monolayer is covered with an optically transparent Indium Tin Oxide (ITO) electrode to complete the dry bR-PV device. In contrast, the aqueous bR-PV cell is created by immobilizing the bR monolayer on an Au-coated porous substrate and then inserting the assembly between two micro-reservoirs filled with KCl solutions. Platinum wire probes are then inserted in the opposing liquid reserviors near the porous bR monolayer. The dry bR-PV cell generated a photo-electric response of 9.73 mV/cm2, while the aqueous bR-PV produced 41.7 mV/cm2 and 33.3 μA/cm2. Although the generated voltages appear small, it may be sufficient to power various microelectromechanical systems (MEMS) and microfluidic devices.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".