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Potassium Bromate in Bakery Products

Cecil Instruments Ltd
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Rapid Analysis of Polycyclic Aromatic Hydrocarbons in Seafood

Shimadzu
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Rapid Wheat Varietal Identification using the Agilent 2100 Bioanalyzer

Agilent Technologies
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Simple sample preparation for the determination of vitamin D in serum

Tecan Group Ltd.
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Sugars in Soft Drinks and Wine

Cecil Instruments Ltd
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Two-Dimensional HPLC Combined with On-Line SPE for Determination of Su

Dionex - Part of Thermo Fisher Scientific
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Scientific News
Identification of Fumonisins in Corn
In this study, fumonisin A1, A2, and a3 are identified and quantified by high-resolution liquid chromatography-orbitrap mass spectrometry.
Eating Peanut at an Early Age Prevents Peanut Allergy in High-Risk Infants
New evidence shows that the majority of infants at high-risk of developing peanut allergy are protected from peanut allergy at age 5 years if they eat peanut frequently, starting within the first 11 months of life.
Pittcon Announces Wide Variety of Short Courses
Courses range from beginner and intermediate to advanced levels.
Man Trumps Dog: Earlier Assumption About BPA Exposure Confirmed
New human study shows oral exposure does not create risk for high BPA exposure.
Improved Accuracy of Pesticide Detection in Food
European Reference Laboratory improves accuracy of pesticide detection in food with AB SCIEX mass spectrometry instrumentation.
Handheld Sensor to Sniff out Fish Fraud
Fighting seafood labeling fraud using rapid, on-site screening may benefit consumer wallets and U.S. seafood industry.
Benefits of SPE for the Analysis of Mycotoxins
Fast and cost-effective sample preparation is essential for the analysis of mycotoxins in food and feed.
Quickly Tracing The Source Of Tainted Food
Technology can trace contaminated food to its source.
Low-glycemic Diets May Not Improve Cardiovascular Outcomes
Results of the study appear online in the Journal of the American Medical Association.
Rising Temperatures Predicted to Lower Wheat Yields
An international consortium of researchers has used big data sets to predict the effects climate change on global wheat yields.
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