2021
DOI: 10.1021/acssuschemeng.1c03880
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Synthesis and Characterization of Chelidonic Acid and Chelidamic Acid as Organic Anode Materials for Energy Storage

Abstract: Organic materials (OMs) have great potential to accept alkaline ions and thus be used in energy storage systems. Owing to their low cost, easy synthesis, and wide applications, a green battery containing an OM without any considerable production of heavy pollutants such as graphite and transitionmetal oxides can be expected in the near future. In this study, two new OMs, chelidamic acid (CDA) and chelidonic acid (CDO), were prepared and investigated for energy storage. CDA and CDO have a similar molecular weig… Show more

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Cited by 11 publications
(7 citation statements)
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“…This activation behavior comes from the AGACEI rearrangement of capturing Li + by the carbonyl groups. Many literature studies have published that this carbonyl group not only provides high ionic transport but also delivers capacity in accepting alkaline or alkali-earth metal ions for energy storage. The second is the inhibition of electrolyte decomposition on the surface, which avoids the formation of low ionic conductivity compounds like LiF and LiOH. In Figure , the XPS results demonstrate that AGACEI@LiCoO 2 shows low intensity of O 1s and F 1s spectra correlated to those compounds aforementioned; this will be discussed in the next part.…”
Section: Resultsmentioning
confidence: 99%
“…This activation behavior comes from the AGACEI rearrangement of capturing Li + by the carbonyl groups. Many literature studies have published that this carbonyl group not only provides high ionic transport but also delivers capacity in accepting alkaline or alkali-earth metal ions for energy storage. The second is the inhibition of electrolyte decomposition on the surface, which avoids the formation of low ionic conductivity compounds like LiF and LiOH. In Figure , the XPS results demonstrate that AGACEI@LiCoO 2 shows low intensity of O 1s and F 1s spectra correlated to those compounds aforementioned; this will be discussed in the next part.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 7d reveals that signals appeared for C-O (534.21 eV) [40] and C=O (532.5 eV) bonds [41] in the O 1s spectrum recorded prior to cycling; after 200 cycles, the signal for the C-O bonds shifted slightly to lower binding energy, suggesting that a doping reaction had occurred with Li + [41]. The transformation of N-C=O to N-C-OK in the charging process was evidenced by a peak at 531.7 eV peak in the O 1s spectrum in Figure S4c, revealing that K + ions had been reacted with oxygen anions.…”
Section: Resultsmentioning
confidence: 99%
“…Model G3 was constructed using the training data (training dataset G3) containing 17 x n (n = 1-5, 16,20,21,23,25,[28][29][30][31][32][33]36 1) by SpM-S (Tables S5 and S6 in the ESI †). The measured specific capacity of new compounds was added to dataset G3 (# in Table 1 and Fig.…”
Section: Prediction Model G3 and Its Data Scientific Validitymentioning
confidence: 99%
“…superlithiation, drastically enhancing specific capacity. [21][22][23][24][25][26][27][28][29] Although p-conjugated molecules have potential for superlithiation, not all such compounds show high specific capacity. In recent years, known compounds with high specific capacity were introduced into polymers and covalent organic frameworks to enhance performance.…”
Section: Introductionmentioning
confidence: 99%