GEN-MKT-18-7897-A
May 31, 2017 | Blogs, Food / Beverage | 0 comments
Adding colorful dyes to food is nothing new. In the early 19th century, for example, it wasn’t uncommon for manufacturers to add chalk to white bread, thicken milk with a lead compound, and inject red dye into meat in the quest for a fresher appearance1. Fast forward to the 21st century, however, and along with mass spectrometry, food standards have come a long way. Foods now must pass muster according to standards set by government regulators or else risk fines and punishment which can be costly for the manufacturer. To support these measures, are agencies such as the US-FDA, EFSA, and others which have banned some colors due to their toxic and carcinogenic nature which brings me to mass spectrometry analysis. Discover more when you read the following application note, “LC-MS/MS Analysis of Emerging Food Contaminants,” in which researchers used the ExionLC AD with a Phenomenex Column for sample separation followed by MS/MS detection with the SCIEX X500R QTOF system.Download the Application Note >
Traditional analytical methods used to test for the presence of banned colors and dyes in food such as TLC-UV/VIS, LC-UV/VIS, and LC-MS have limited selectivity and sensitivity and are therefore only used for targeted analysis. Recent advancements in LC-HR-MS technology, however, provide the ability to perform targeted and non-targeted screening in food samples on a routine basis. The exact mass and MS/MS data provided by these instruments contain enough information to confidently identify known food ingredients and contaminants and unknown chemicals that may also be present in the sample.
It’s not just food either that labs must be on top of, but carbonated drinks such as soda which have been known to contain 4-Methylimidazole, a byproduct of caramel coloring, and a possible carcinogenic. In a previous application note, researchers presented a method using LC-MS/MS to:
The Take Away:Today’s consumer is leaning toward a healthier diet, and some manufacturers are even choosing to eliminate or reduce the number of dyes in their products2. Now, more than ever, color additives are strictly monitored and regulated by government agencies, and it’s up to labs to routinely test samples using sensitive analysis techniques. Analyzing dyes in foods is particularly challenging because these food samples are inherently complex, and analysis of low levels of dye compounds is a challenge. LC-MS/MS is an excellent solution for this analysis because it:
1. https://www.theatlantic.com/business/archive/2017/05/american-food-coloring-dyes/525666/2. https://foodal.com/knowledge/paleo/food-dyes-health/
Finding the right information shouldn’t slow you down. Whether you’re troubleshooting your mass spec, learning something new, or optimizing performance, access to the right resources at the right moment makes all the difference.
As an analytical strategy, middle-down mass spectrometry (MS) workflows characterize biotherapeutic proteins by analyzing large, digested protein fragments or defined subunits, rather than fully intact proteins (top-down) or digested peptides (bottom-up). A middle-down strategy combines the strengths of top-down and bottom-up approaches by delivering high sequence coverage and structural specificity while maintaining relatively simple sample preparation. In practice, middle-down analysis enables accurate mass measurement, rapid sequence confirmation, and localization of key post-translational modifications (PTMs) on protein subunits that are directly relevant to product quality.
In biopharmaceutical development, sequence variants (SV) are considered an inherent risk of producing complex proteins in living systems. Sequence variants are unintended changes to the amino acid sequence of a biotherapeutic and can be caused by errors in transcription or translation in the host cell, or cell culture and process conditions. Detailed analysis of SVs is important in process and product development to ensure the drug’s safety and efficacy. Even low‑level sequence variants can have significant implications for product quality, safety, and efficacy, making their accurate detection and characterization a critical requirement across development, process optimization, and regulatory submission.
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