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Aug 5, 2015 | Blogs, Food / Beverage | 0 comments
Did you know that even though most of the world is covered in water, access to clean drinkingwater remains a problem? Take Asia for example where 62,000 people have lost their lives between 2001 and 2005 due to water-related disaster and illness.
Clean water is easier said than done, however, as more than a thousand chemical contaminants threaten our supply. Commercial waste, runoff and groundwater discharge including pollution from human waste, industrial use, and agriculture remain a problem. How then can we help world health organizations get a better handle on this epidemic? Improved sanitation helps, but so too does more advanced testing technology and SCIEX is in on the solution. A recent study by our scientists experimented with sample preparation and data processing according to EPA Method 537.
Want to Know Which Method for Testing Water Quality Came out on Top? Hands-down, it is mass spectrometry (MS) because of its ability to detect very low levels of a variety of chemical compounds. These range from pesticides and pharmaceuticals and personal care products (PPCP) to residual explosives and disinfection by-products.
A single test, just one, is all it takes to discover what lurks in drinking water when using MS. Imagine how many people could be saved from water-borne illnesses if world health organizations were able to adopt more advanced technology. If you are someone who is interested in uncovering how mass spectrometry can help advance water testing or know someone who is, read the full report.
Read About Additional Water Studies >
Depending on the samples that you are running on the system, it is possible for the Echo MS electrode to become dirty or occluded over time. Below are two different cleaning strategies that will be helpful for you to maintain your system and keep your electrodes running well.
Developing an analytical method can be one of the most rewarding jobs an analytical scientist can do, but it can also be one of the most complex and frustrating. To help guide your practical experiments and thought processes we spoke to Kean Woodmansey to benefit from his experience.
As analytical organizations grow, there is an even greater need to train scientists and operators more consistently to meet tight deadlines, handle increasing samples, and meet data quality expectations. A high rate of employee turnover also affects the productivity of labs worldwide. Consistent training helps today’s labs stay competitive, whether the goal is sample throughput, therapeutic development, or publication.
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