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Merck
CN

330707

Avanti

SPLASH LIPIDOMIX 质谱标准品

Avanti Research - A Croda Brand

别名:

SPLASH LIPIDOMIX 质谱标准品, 单瓶制备的人血浆脂质脂质组学分析标准品

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关于此项目

NACRES:
NA.25
UNSPSC Code:
41116107
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产品名称

SPLASH LIPIDOMIX 质谱标准品, Avanti Research - A Croda Brand

form

methanol solution

packaging

pkg of 1 × 1 mL (330707-1EA)

manufacturer/tradename

Avanti Research - A Croda Brand

concentration

1 mg/mL (330707-1EA)

technique(s)

mass spectrometry (MS): suitable

application(s)

lipidomics
metabolomics

shipped in

dry ice

storage temp.

−20°C

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Application

SPLASH LIPIDOMIX质谱标准品已用于:
  • 用作小鼠和人类样品来源非酒精性脂肪性肝病(NAFLD)印迹分析的内标
  • 用作超高效液相色谱-四级杆串联飞行时间质谱联用 (UPLC-q-Tof MS)定量十二指肠、肝脏和脂肪组织中磷脂的内标
  • 液相色谱-质谱(LC-MS)脂质分析之前的人类细胞系处理

Features and Benefits

  • 节省时间:预先混合的内标。
  • 节约成本:1个样品瓶足以用于100份血浆样品。
  • 精确的浓度可提供定量脂质组学分析。
  • 适用于多种MS方法。
  • 已针对血浆分析优化的每种脂质类别浓度。

General description

使用我们易用的氘标记脂质混合物进入脂类组学,它将在您的实验室中大放异彩。SPLASH LIPIDOMIX 质谱标准品包括与人血浆的所有主要脂质类别对应的脂质,从而实现一种简单的内标溶液适用每种样品。这种内标混合物是与Kim Ekroos(Zora Biosciences)合作开发的。

Other Notes

SPLASH LIPIDOMIX质谱标准品溶于1 mL甲醇中,并含有以下成分:

混合物组分目标浓度(μg/mL)
  • 15:0-18:1(d7) PC160
  • 15:0-18:1(d7) PE5
  • 15:0-18:1(d7) PS5
  • 15:0-18:1(d7) PG30
  • 15:0-18:1(d7) PI10
  • 15:0-18:1(d7) PA7
  • 18:1(d7) LPC25
  • 18:1(d7) LPE5
  • 18:1(d7) Chol Ester350
  • 18:1(d7) MG2
  • 15:0-18:1(d7) DG10
  • 15:0-18:1(d7)-15:0 TG55
  • 18:1(d9) SM30
  • 胆固醇(d7)100

Packaging

2mL棕色玻璃密封安瓿(330707-1EA)

Legal Information

Avanti Research is a trademark of Avanti Polar Lipids, LLC
LIPIDOMIX is a trademark of Avanti Polar Lipids, LLC
SPLASH is a trademark of Avanti Polar Lipids, LLC

signalword

Danger

Hazard Classifications

Acute Tox. 3 Dermal - Acute Tox. 3 Inhalation - Acute Tox. 3 Oral - Flam. Liq. 2 - STOT SE 1

target_organs

Eyes,Central nervous system

存储类别

3 - Flammable liquids

wgk

WGK 2

flash_point_f

49.5 °F - closed cup

flash_point_c

9.7 °C - closed cup

法规信息

危险化学品
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Bobbie-Jo M Webb-Robertson et al.
Analytical chemistry, 92(2), 1796-1803 (2019-11-20)
Advancements in molecular separations coupled with mass spectrometry have enabled metabolome analyses for clinical cohorts. A population of interest for metabolome profiling is patients with rare disease for which abnormal metabolic signatures may yield clues into the genetic basis, as
Diana Széliová et al.
Methods in molecular biology (Clifton, N.J.), 2088, 119-160 (2020-01-02)
Biomass composition is an important input for genome-scale metabolic models and has a big impact on their predictive capabilities. However, researchers often rely on generic data for biomass composition, e.g. collected from similar organisms. This leads to inaccurate predictions, because
Isabelle E Logan et al.
Microorganisms, 8(4) (2020-04-09)
A calorie-dense diet is a well-established risk factor for obesity and metabolic syndrome (MetS), whereas the role of the intestinal microbiota (IMB) in the development of diet-induced obesity (DIO) is not completely understood. To test the hypothesis that Swiss Webster
Bo Burla et al.
Journal of lipid research, 59(10), 2001-2017 (2018-08-18)
Human blood is a self-regenerating lipid-rich biological fluid that is routinely collected in hospital settings. The inventory of lipid molecules found in blood plasma (plasma lipidome) offers insights into individual metabolism and physiology in health and disease. Disturbances in the
Naren Gajenthra Kumar et al.
PloS one, 13(10), e0206606-e0206606 (2018-11-01)
Modification of the host lipidome via secreted enzymes is an integral, but often overlooked aspect of bacterial pathogenesis. In the current era of prevalent antibiotic resistance, knowledge regarding critical host pathogen lipid interactions has the potential for use in developing

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