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Колонки Sunfire Silica

 

 

 

Информация для заказа

Аналитические колонки
Размер частиц: 3,5 мкм   Размер частиц: 5 мкм
Размер колонки, мм Каталожный номер   Размер колонки, мм Каталожный номер
4.6 × 150 mm 186003453   4.6 × 150 mm 186003467
4.6 × 250 mm 186003454    4.6 × 250 mm 186003468

 

 

Препаративные колонки
Размер частиц: 5 мкм   Размер частиц: 10 мкм
Dimension Type P/N (1/pk)   Dimension Type P/N (1/pk)
10×10mm GuardCartridge 186003429    10×10mm GuardCartridge 186003441
10×50mm OBDColumn 186008180   10×150mm OBDColumn 186008184
10×100mm OBDColumn 186008181   10×250mm OBDColumn 186008185
10×150mm OBDColumn 186008182   19×10mm GuardCartridge 186003444
10×250mm OBDColumn 186008183   19×50mm OBDColumn 186003445
19×10mm GuardCartridge 186003434   19×150mm OBDColumn 186003446
19×50mm OBDColumn 186003431   19×250mm OBDColumn 186003447
19×100mm OBDColumn 186003432   30×10mm GuardCartridge 186006888
19×150mm OBDColumn 186003433   30×50mm OBDColumn 186003855
19×250mm OBDColumn 186004029   30×150mm OBDColumn 186003448
30×10mm GuardCartridge 186006889   30×250mm OBDColumn 186003449
30×50mm OBDColumn 186003435   50×50mm OBDColumn 186003450
30×75mm OBDColumn 186003436   50×150mm OBDColumn 186003451
30×100mm OBDColumn 186003437   50×250mm OBDColumn 186003452
30×150mm OBDColumn 186003438        
50×50mm OBDColumn 186003439        
50×100mm OBDColumn 186003440        

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Goals of Sample Preparation

Successful sample preparation for most analytical techniques (HPLC, UPLC, ™LC-MS, UV, GC, etc.)
has a threefold objective. It needs to provide the sample component of interest:
■■  In solution
■■  Free from interfering matrix elements
■■  At a concentration appropriate for detection or measurement

Waters™ Sample Preparation Solutions for quantitative analysis make it easy to deliver a sample that is reproducible with
high recovery and free of interferences. Based on simple, logical workflows that produce clean samples through selective
separations, Waters Sample Preparation Products maximize sensitivity, increase throughput, and enable the development of
robust methods.