Advanced simulation of a PV module’s color

McIntosh, Keith R.; Amara, Mohamed; Mandorlo, Fabien; Abbott, Malcolm; Sudbury, Benjamin A.

doi:10.1063/1.5049256

Cited by 8 publications

(11 citation statements)

References 17 publications

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“…Native PeIA is a moderately potent antagonist of α3β2 and α6/α3β2β3 nAChRs (IC 50 ~ 20 nM for both) as well as the α9α10 subtype (IC 50 ~ 30 nM) 11,12 but also inhibits α6β4 and α3β4 subtypes at higher concentrations (IC 50 ~ 130 nM and ~ 1.6 μΜ, respectively). 12 Like OmIA, PeIA shows some preferences for α3 and α6 subtypes containing β2 subunits over those with β4 subunits, but again the overlapping potencies make it difficult to distinguish α3β2 nAChRs from these other subtypes using PeIA.…”

Section: Discussionmentioning

confidence: 99%

“…From the substitutions listed in Table 4, we selected those that displayed the most favorable changes in potency or selectivity for α3β2 nAChRs to combine with negatively charged amino acid substitution of Asn 11 . Two amino acid residues, namely, His 9 and Val 10 , produced the peptide PeIA-4769 that was 68-fold more potent on α3β2 than PeIA (Figure 5A, Table 5).…”

Section: Discussionmentioning

confidence: 99%

“…Speculatively, this may suggest that the additional substitutions allow for further fine tuning of the critical interaction between the residue in position 11 and the competitive binding pocket of the α3β2 nAChR. Guided by this principle, we synthesized four additional peptides containing different combinations of His 9 , Nle 10 , Api 11 , and Ile 15 residues to gain a more complete picture of the interaction between peptide ligands and α3β2 nAChRs. Interestingly, in contrast to the lower IC 50 value of [Ile 15 ]PeIA for α3β2 nAChRs, compared to native PeIA, PeIA-5106, also with Ile 15 , showed no difference in potency compared to PeIA-4769.…”

Section: Discussionmentioning

confidence: 99%

“…Five derivatives of PeIA-4769 were synthesized containing Asp, Glu, Aad, Api, or Asu in the 11th position and of them, PeIA-5355, containing Api 11 , showed the most substantial separation (~59-fold) between the IC 50 values for α3β2 and α6/α3β2β3 nAChRs (Figure 5A,B, Table 5). PeIA-5415 and PeIA-5587, containing Asu 11 and Aad 11 , respectively, were also substantially more potent on α3β2 nAChRs by 52-and 39-fold, respectively. Next, a 6th PeIA-4769-based peptide was synthesized containing an Ile in the 15th position and evaluated for α3β2-selectivity.…”

Section: Structure-function Studies Identify Ligand-receptor Interactions That Are Critical For Activity On α3β2 Nachrsmentioning

confidence: 97%

“…The first Nle 10 -containing peptide, PeIA-5416, displayed a ~160-fold increase in the selectivity for α3β2 over PeIA-5355. Finally, PeIA-5466 was synthesized containing His 9 , Nle 10 , Api 11 , and Ile 15 residues and was found to be ~300-fold more potent on α3β2 than α6/α3β2β3 nAChRs. Furthermore, the peptide displayed high potency for inhibition of α3β2 with an IC 50 value of 1.34 (1.13-1.60) nM.…”

Section: Structure-function Studies Identify Ligand-receptor Interactions That Are Critical For Activity On α3β2 Nachrsmentioning

confidence: 99%

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PeIA-5466: A Novel Peptide Antagonist Containing Non-natural Amino Acids That Selectively Targets α3β2 Nicotinic Acetylcholine Receptors

et al. 2019

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Pharmacologically distinguishing α3β2 nicotinic acetylcholine receptors (nAChRs) from closely related subtypes, particularly α6β2, has been challenging due to the lack of subtype-selective ligands. We created analogs of α-conotoxin (α-Ctx) PeIA to identify ligand-receptor interactions that could be exploited to selectively increase potency and selectivity for α3β2 nAChRs. A series of PeIA analogs were synthesized by replacing amino acid residues in the second disulfide loop with standard or nonstandard residues and assessing their activity on α3β2 and α6/α3β2β3 nAChRs heterologously expressed in Xenopus laevis oocytes. Asparagine 11 was found to occupy a pivotal position, and when replaced with negatively charged amino acids, selectivity for α3β2 over α6/α3β2β3 nAChRs was substantially increased. Second generation peptides were then designed to further improve both potency and selectivity. One peptide, PeIA-5466, was ~300-fold more potent on α3β2 than α6/α3β2β3 and is the most α3β2-selective antagonist heretofore reported.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Structure-function Studies Identify Ligand-receptor Interactions That Are Critical For Activity On α3β2 Nachrsmentioning

confidence: 97%

Section: Structure-function Studies Identify Ligand-receptor Interactions That Are Critical For Activity On α3β2 Nachrsmentioning

confidence: 99%

See 3 more Smart Citations

PeIA-5466: A Novel Peptide Antagonist Containing Non-natural Amino Acids That Selectively Targets α3β2 Nicotinic Acetylcholine Receptors

et al. 2019

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Optimal Design of Multilayer Optical Color Filters for Building‐Integrated Photovoltaic (BIPV) Applications

Ortiz Lizcano,

Villa,

Zhou

et al. 2023

Solar RRL

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Herein, the application of a comprehensive modeling framework that can help optimize the design of multilayered optical filters for coloring photovoltaic (PV) modules is presented based on crystalline silicon solar cells. To overcome technical issues related to the implementation of color filters (CFs) on PV modules, like glare and color instability, colorimetry metrics, such as the hue, chroma, luminance color space, and the quantitative concept of difference between two colors are extensively deployed. It is showcased in this work that designing colored modules with high hue and chroma stability is possible by using a front‐side texturing with edged geometry, like V‐shaped grooves and inverted pyramids, while obtaining colors with relatively high luminance values, indicating good brightness. Furthermore, it is argued that adapting the rear surface of the front glass with a random textured layout where the CF is applied can improve color and luminance stability without significant loss of chroma while eliminating glare. Finally, the models can be used to optimize the number of layers for a given CF, reducing unnecessary optical losses. Compared to a standard PV module, performance simulation of optimized, bright‐colored PV modules predicts relative energy yield losses ranging from 7% to 25%.

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