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M51008

Sigma-Aldrich

Methyliminodiacetic acid

99%

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Synonym(s):
MIDA, MIDA ligand
Linear Formula:
CH3N(CH2CO2H)2
CAS Number:
Molecular Weight:
147.13
EC Number:
MDL number:
PubChem Substance ID:
NACRES:
NA.22

Assay

99%

mp

220 °C (dec.) (lit.)

SMILES string

CN(CC(O)=O)CC(O)=O

InChI

1S/C5H9NO4/c1-6(2-4(7)8)3-5(9)10/h2-3H2,1H3,(H,7,8)(H,9,10)

InChI key

XWSGEVNYFYKXCP-UHFFFAOYSA-N

Pictograms

Exclamation mark

Signal Word

Warning

Hazard Statements

Hazard Classifications

Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3

Target Organs

Respiratory system

Storage Class Code

11 - Combustible Solids

WGK

WGK 3

Flash Point(F)

Not applicable

Flash Point(C)

Not applicable

Personal Protective Equipment

dust mask type N95 (US), Eyeshields, Gloves

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  5. What is the solubility for Product M51008, Methyliminodiacetic acid?

    Unfortunately, we do not test solubility for product M51008. However, this product should be soluble in 25 mg/mL, 1 N acetic acid and deuterated water.

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Wan-Yu Deng et al.
IEEE transactions on neural networks and learning systems, 30(4), 1180-1190 (2018-09-04)
In most domain adaption approaches, all features are used for domain adaption. However, often, not every feature is beneficial for domain adaption. In such cases, incorrectly involving all features might cause the performance to degrade. In other words, to make
M Sato et al.
Analytical biochemistry, 174(2), 623-627 (1988-11-01)
A new method for the quantitative analysis of acidic opines--alanopine, strombine, tauropine, and beta-alanopine--is presented. The method is based on formation of phenylthiocarbamyl (PTC) derivatives of the acidic opines after partial purification by ion-exchange chromatography. The PTC acidic opines are
Alanopine and strombine are novel imino acids produced by a dehydrogenase found in the adductor muscle of the oyster, Crassostrea gigas.
J H Fields et al.
Archives of biochemistry and biophysics, 201(1), 110-114 (1980-04-15)
Gas-liquid chromatography and enzymatic determination of alanopine and strombine in tissues of marine invertebrates.
K B Storey et al.
Analytical biochemistry, 125(1), 50-58 (1982-09-01)
Juan Lorenzo Hagad et al.
Sensors (Basel, Switzerland), 21(5) (2021-04-04)
Two of the biggest challenges in building models for detecting emotions from electroencephalography (EEG) devices are the relatively small amount of labeled samples and the strong variability of signal feature distributions between different subjects. In this study, we propose a

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