推荐产品
等級
SAJ first grade
化驗
≥99.0%
存貨情形
available only in Japan
折射率
n20/D 1.558 (lit.)
bp
175-176 °C (lit.)
mp
8 °C (lit.)
密度
1.241 g/mL at 25 °C (lit.)
SMILES 字串
Oc1ccccc1Cl
InChI
1S/C6H5ClO/c7-5-3-1-2-4-6(5)8/h1-4,8H
InChI 密鑰
ISPYQTSUDJAMAB-UHFFFAOYSA-N
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訊號詞
Danger
危險分類
Acute Tox. 4 Dermal - Acute Tox. 4 Inhalation - Acute Tox. 4 Oral - Aquatic Chronic 2 - Eye Dam. 1 - Skin Corr. 1B
儲存類別代碼
6.1C - Combustible acute toxic Cat.3 / toxic compounds or compounds which causing chronic effects
水污染物質分類(WGK)
WGK 2
閃點(°F)
147.2 °F - closed cup
閃點(°C)
64.0 °C - closed cup
個人防護裝備
Eyeshields, Faceshields, Gloves, type ABEK (EN14387) respirator filter
Water research, 188, 116465-116465 (2020-10-14)
We created a hydrogen-based membrane palladium-film reactor (MPfR) by depositing palladium nanoparticles (PdNPs) on hollow-fiber membranes via autocatalytic hydrogenation to form a Pd-film. The MPfR was used for hydrodechlorination (HDC) of 2,4-dichlorophenol (2,4-DCP). HDC performances and mechanisms were systematically evaluated
PLoS neglected tropical diseases, 8(12), e3259-e3259 (2014-12-05)
The discovery of new therapeutic options against Trypanosoma cruzi, the causative agent of Chagas disease, stands as a fundamental need. Currently, there are only two drugs available to treat this neglected disease, which represents a major public health problem in
The Journal of antimicrobial chemotherapy, 70(3), 731-738 (2014-10-23)
HIV resistance to the integrase inhibitor raltegravir in treated patients is characterized by distinct resistance pathways. We hypothesize that differences in the in vivo dynamics of HIV resistance to raltegravir are due to the genetic context of the integrase present
Journal of hazardous materials, 190(1-3), 222-228 (2011-04-07)
2-Chlorophenol (2-CP) degrading aerobic granules were cultivated in a sequencing batch reactor (SBR) in presence of glucose. The organic loading rate (OLR) was increased from 6.9 to 9.7 kg COD m(-3)d(-1) (1150-1617 mg L(-1)COD per cycle) during the experiment. The
Environmental science and pollution research international, 20(4), 2271-2287 (2012-08-02)
The research aims to develop artificial intelligence (AI)-based model to predict the adsorptive removal of 2-chlorophenol (CP) in aqueous solution by coconut shell carbon (CSC) using four operational variables (pH of solution, adsorbate concentration, temperature, and contact time), and to
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