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M0303

Millipore

Middlebrook 7H10 琼脂基础

suitable for microbiology, NutriSelect® Plus, for use in isolation and cultivation of Mycobacterium species

同義詞:

分枝杆菌培养基

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About This Item

分類程式碼代碼:
41171609
NACRES:
NA.85

品質等級

無菌

non-sterile

產品線

BioChemika

形狀

powder

儲存期限

limited shelf life, expiry date on the label

包裝

pkg of 500 g

製造商/商標名

NutriSelect® Plus

技術

microbe id | susceptibility testing: suitable
microbiological culture: suitable

最終pH值

6.6±0.2 (25 °C)

應用

clinical testing
food and beverages
life science and biopharma
veterinary

microbiology

適合性

mycobacteria

一般說明

Middlebrook 7H10琼脂培养基推荐用于结核分枝杆菌的分离、培养和敏感性试验。Middlebrook培养基由许多无机盐组成,有助于分枝杆菌的生长。由柠檬酸钠形成的柠檬酸有助于保留溶液中的无机阳离子。甘油可提供碳和能量。Middlebrook OADC生长补充剂(M0678)含有油酸、牛白蛋白、氯化钠、葡萄糖和过氧化氢酶。油酸和其他长链脂肪酸是分枝杆菌代谢所必需的。一些游离脂肪酸对分枝杆菌是有毒的,但白蛋白与这些脂肪酸结合后,防止了对分枝杆菌的毒性作用。葡萄糖是一种能量来源。过氧化氢酶中和有毒过氧化物。孔雀石绿部分抑制其他细菌。

應用

Middlebrook 7H10琼脂培养基是结核分枝杆菌分离、培养和敏感性试验的选择性培养基。分枝杆菌在肉汤培养基中生长最快,因此可以进行细菌种类的初步分离。它经济、易于制备,可以帮助早期检测抗酸性,培养分枝杆菌种类。

成分

成分 (g/L)
硫酸铵,0.50
L-谷氨酸,0.50
磷酸二氢钾,1.50
磷酸二钠,1.50
柠檬酸钠,0.40
柠檬酸铁铵,0.04
硫酸镁,0.025
氯化钙,0.0005
硫酸锌,0.001
硫酸铜,0.001
盐酸吡多辛,0.001
生物素,0.0005
孔雀绿,0.00025
琼脂,15.00

準備報告

将19.47 g Middlebrook 7H10 Agar Base 悬浮 900 ml蒸馏水中。加入5 ml甘油(Cat.No. 49767).加热至沸腾以完全溶解培养基。以180 ml的量分配至每个锥形瓶,并在121°C,15 磅的压力下高压灭菌10分钟。冷却至45°C,无菌添加20 ml的 Middlebrook OADC 生长补充剂(Cat.No.M0678)。充分混合,倒入带螺旋盖的试管。注意:制备好的培养基,在接种前、后均需放置在暗处。

腳註

我们现提供两种类型的培养基:GranuCult®优质颗粒状培养基和NutriSelect®高性价比粉末状培养基,满足用户不同层次的需求。
商标后的品级称号basic(基础)、plus(加强)或prime(特级)代表产品的不同质控水平,从基础的质控到标准质控加强版到全面合规的特级质控水平。

法律資訊

GRANUCULT is a registered trademark of Merck KGaA, Darmstadt, Germany
NutriSelect is a registered trademark of Merck KGaA, Darmstadt, Germany

儲存類別代碼

11 - Combustible Solids

水污染物質分類(WGK)

WGK 2

閃點(°F)

Not applicable

閃點(°C)

Not applicable


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Finegold, E.J., et al.
Bailey and Scott's Diagnostic Microbiology (1990)
Agreement of Middle brook 7H10 with Lowenstein Jensen and accuracy of the Sensititre MYCOTB plate using either method as a reference standard for Mycobacterium tuberculosis first line drug susceptibility testing
Ssengooba W, et al.
PLoS ONE, 13(6), e0199638-e0199638 (2018)
A biocide-free mineral oil nanoemulsion exhibiting strong bactericidal activity against Mycobacterium immunogenum and Pseudomonas aeruginosa
Chang SC, et al.
International Biodeterioration & Biodegradation, 70, 66-73 (2012)
Hyebin Song et al.
Cell systems, 12(1), 92-101 (2020-11-20)
Machine learning can infer how protein sequence maps to function without requiring a detailed understanding of the underlying physical or biological mechanisms. It is challenging to apply existing supervised learning frameworks to large-scale experimental data generated by deep mutational scanning
Ronald J Rieder et al.
Antimicrobial agents and chemotherapy, 53(11), 4598-4603 (2009-08-26)
Methods currently used for in vitro drug susceptibility testing are based on the assessment of bacterial growth-related processes. This reliance on cellular reproduction leads to prolonged incubation times, particularly for slowly growing organisms such as mycobacteria. A new rapid phenotypic

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