Pipecolinic acidCAS# 535-75-1 |
2D Structure
Quality Control & MSDS
3D structure
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Number of papers citing our products
Cas No. | 535-75-1 | SDF | Download SDF |
PubChem ID | 849 | Appearance | Powder |
Formula | C6H11NO2 | M.Wt | 129.07 |
Type of Compound | Alkaloids | Storage | Desiccate at -20°C |
Solubility | Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc. | ||
Chemical Name | piperidine-2-carboxylic acid | ||
SMILES | C1CCNC(C1)C(=O)O | ||
Standard InChIKey | HXEACLLIILLPRG-UHFFFAOYSA-N | ||
Standard InChI | InChI=1S/C6H11NO2/c8-6(9)5-3-1-2-4-7-5/h5,7H,1-4H2,(H,8,9) | ||
General tips | For obtaining a higher solubility , please warm the tube at 37 ℃ and shake it in the ultrasonic bath for a while.Stock solution can be stored below -20℃ for several months. We recommend that you prepare and use the solution on the same day. However, if the test schedule requires, the stock solutions can be prepared in advance, and the stock solution must be sealed and stored below -20℃. In general, the stock solution can be kept for several months. Before use, we recommend that you leave the vial at room temperature for at least an hour before opening it. |
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About Packaging | 1. The packaging of the product may be reversed during transportation, cause the high purity compounds to adhere to the neck or cap of the vial.Take the vail out of its packaging and shake gently until the compounds fall to the bottom of the vial. 2. For liquid products, please centrifuge at 500xg to gather the liquid to the bottom of the vial. 3. Try to avoid loss or contamination during the experiment. |
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Shipping Condition | Packaging according to customer requirements(5mg, 10mg, 20mg and more). Ship via FedEx, DHL, UPS, EMS or other couriers with RT, or blue ice upon request. |
Description | Pipecolic acid is a metabolite of lysine, it is a salivary metabolite biomarker. |
In vitro | Investigation and identification of potential biomarkers in human saliva for the early diagnosis of oral squamous cell carcinoma.[Pubmed: 24144867 ]Clin Chim Acta. 2014 Jan 1;427:79-85.Oral cancer is 1 of the 6 most common human cancers, with an annual incidence of >300,000 cases worldwide. This study aimed to investigate potential biomarkers in human saliva to facilitate the early diagnosis of oral squamous cell carcinoma (OSCC).
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Pipecolinic acid Dilution Calculator
Pipecolinic acid Molarity Calculator
1 mg | 5 mg | 10 mg | 20 mg | 25 mg | |
1 mM | 7.7477 mL | 38.7387 mL | 77.4773 mL | 154.9547 mL | 193.6933 mL |
5 mM | 1.5495 mL | 7.7477 mL | 15.4955 mL | 30.9909 mL | 38.7387 mL |
10 mM | 0.7748 mL | 3.8739 mL | 7.7477 mL | 15.4955 mL | 19.3693 mL |
50 mM | 0.155 mL | 0.7748 mL | 1.5495 mL | 3.0991 mL | 3.8739 mL |
100 mM | 0.0775 mL | 0.3874 mL | 0.7748 mL | 1.5495 mL | 1.9369 mL |
* Note: If you are in the process of experiment, it's necessary to make the dilution ratios of the samples. The dilution data above is only for reference. Normally, it's can get a better solubility within lower of Concentrations. |
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Investigation and identification of potential biomarkers in human saliva for the early diagnosis of oral squamous cell carcinoma.[Pubmed:24144867]
Clin Chim Acta. 2014 Jan 1;427:79-85.
BACKGROUND: Oral cancer is 1 of the 6 most common human cancers, with an annual incidence of >300,000 cases worldwide. This study aimed to investigate potential biomarkers in human saliva to facilitate the early diagnosis of oral squamous cell carcinoma (OSCC). METHODS: Unstimulated whole saliva obtained from OSCC patients (n=30) and apparently healthy individuals (n=30) were assayed with ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) in hydrophilic interaction chromatography mode. The data were analyzed using a nonparametric Mann-Whitney U test, logistic regression, and the receiver operating characteristic (ROC) to evaluate the predictive power of each of 4 biomarkers, or combinations of biomarkers, for OSCC screening. RESULTS: Four potential salivary biomarkers demonstrated significant differences (P<0.05) in concentrations between patients at stages I-II and the healthy individuals. The area under the curve (AUC) values in control vs OSCC I-II mode based on choline, betaine, Pipecolinic acid, and l-carnitine were 0.926, 0.759, 0.994, and 0.708, respectively. Four salivary biomarkers in combination yielded satisfactory accuracy (0.997), sensitivity (100%), and specificity (96.7%) in distinguishing OSCC I-II from control. CONCLUSIONS: Salivary metabolite biomarkers for the early diagnosis of OSCC were verified in this study. The proposed approach is expected to be applied as a potential technique of preclinical screening of OSCC.