Fmoc-1-aminocyclopropane-1-carboxylic acid
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Fmoc-1-aminocyclopropane-1-carboxylic acid

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Category
Fmoc-Amino Acids
Catalog number
BAT-007297
CAS number
126705-22-4
Molecular Formula
C19H17NO4
Molecular Weight
323.34
Fmoc-1-aminocyclopropane-1-carboxylic acid
IUPAC Name
1-(9H-fluoren-9-ylmethoxycarbonylamino)cyclopropane-1-carboxylic acid
Synonyms
Fmoc-Acpc-OH; Fmoc Acpc OH
Appearance
White crystalline powder
Purity
98.5-100.5% (Assay by titration)
Density
1.39 g/cm3
Melting Point
219-227 °C
Boiling Point
566.9°C at 760 mmHg
Storage
Store at 2-8 °C
InChI
InChI=1S/C19H17NO4/c21-17(22)19(9-10-19)20-18(23)24-11-16-14-7-3-1-5-12(14)13-6-2-4-8-15(13)16/h1-8,16H,9-11H2,(H,20,23)(H,21,22)
InChI Key
OPPOISJKHBLNPD-UHFFFAOYSA-N
Canonical SMILES
C1CC1(C(=O)O)NC(=O)OCC2C3=CC=CC=C3C4=CC=CC=C24
1. The Stephan Curve revisited
William H Bowen Odontology. 2013 Jan;101(1):2-8. doi: 10.1007/s10266-012-0092-z. Epub 2012 Dec 6.
The Stephan Curve has played a dominant role in caries research over the past several decades. What is so remarkable about the Stephan Curve is the plethora of interactions it illustrates and yet acid production remains the dominant focus. Using sophisticated technology, it is possible to measure pH changes in plaque; however, these observations may carry a false sense of accuracy. Recent observations have shown that there may be multiple pH values within the plaque matrix, thus emphasizing the importance of the milieu within which acid is formed. Although acid production is indeed the immediate proximate cause of tooth dissolution, the influence of alkali production within plaque has received relative scant attention. Excessive reliance on Stephan Curve leads to describing foods as "safe" if they do not lower the pH below the so-called "critical pH" at which point it is postulated enamel dissolves. Acid production is just one of many biological processes that occur within plaque when exposed to sugar. Exploration of methods to enhance alkali production could produce rich research dividends.
2. Atroposelective Synthesis of 1,1'-Bipyrroles Bearing a Chiral N-N Axis: Chiral Phosphoric Acid Catalysis with Lewis Acid Induced Enantiodivergence
Yaru Gao, Luo-Yu Wang, Tao Zhang, Bin-Miao Yang, Yu Zhao Angew Chem Int Ed Engl. 2022 Apr 11;61(16):e202200371. doi: 10.1002/anie.202200371. Epub 2022 Feb 24.
We present herein a highly efficient atroposelective synthesis of axially chiral 1,1'-bipyrroles bearing an N-N linkage from simple hydrazine and 1,4-diones. Further product derivatizations led to axially chiral bifunctional compounds with high potential in asymmetric catalysis. For this chrial phosphoric acid (CPA)-catalyzed double Paal-Knorr reaction, an intriguing Fe(OTf)3 -induced enantiodivergence was also observed.
3. An optimized organic acid human sensory sourness analysis method
Yuezhong Mao, Shiyi Tian, Yumei Qin, Shiwen Cheng J Sci Food Agric. 2021 Nov;101(14):5880-5887. doi: 10.1002/jsfa.11240. Epub 2021 Apr 23.
Background: Sour taste perception builds on both chemical and physiological foundations, and plays an important role in food flavor, including that of fruit, beer, wine, and other beverages. A uniform sourness standard and sourness conversion method for researchers and food enterprises is necessary to obtain uniform conclusions. Results: This study established an optimized organic acid sensory sourness analysis and sourness conversion method. It is based on sour sensory difference strength curves, which consist of an absolute threshold value and sensory difference threshold values. Defining the absolute threshold value of citric acid sourness as 1, sourness could be calculated according to the curve. With a logarithmic curve form, the acid sourness indexes (AI) were calculated as 1, 0.74, 0.77, 1.31, and 1.21 for citric, malic, fumaric, lactic, and tartaric acid samples, respectively. Consequently, each acid's sourness and concentration could be obtained and converted. Single acid and mixed acid sourness comparison evaluation's result implied that the novel method was more accurate (91.7-100%) than the hydrogen ion concentration method. Conclusion: The novel sourness determination and conversion equation would provide more accurate sourness standard and calculation method in food sensory areas. © 2021 Society of Chemical Industry.
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