In order to ensure public health, it is crucial for all food manufacturers to accurately display nutritional information on their packaging. This allows consumers to make informed dietary choices.
In order to ensure public health, it is crucial for all food manufacturers to accurately display nutritional information on their packaging. This allows consumers to make informed dietary choices.
In food manufacturing, the key to success lies in delivering high-quality, safe, and nutritionally optimized products. Nutritional profiling ensures our food is healthy by verifying it has the appropriate levels of nutrients.
SCIEX delivers cutting-edge mass spectrometry technology. Here’s why incorporating mass spectrometry into your nutritional profiling process can revolutionize your product offerings:
With faster turnaround times, you can bring new and improved products to market more quickly, staying ahead of the competition.
See how easy the migration from Analyst software to SCIEX OS is, and understand data evaluation on the SCIEX OS platform.
Featured resources for nutritional profiling
Technical note
Simultaneous quantitation of fat-soluble vitamins in formula infant milk by LC-MS/MS
A comprehensive, high-throughput method for simultaneous determination for 8 fat-soluble vitamins using SCIEX QTRAP® 4500 System
Technical note
LC-MS/MS quantitation of artificial sweeteners in beverages
This technical note describes a direct injection method for the analysis of 9 artificial sweeteners in beverage samples including advantame, saccharin, sucralose, aspartame, acesulfame K, stevioside, rebaudioside, neotame, and sorbitol.
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Nutritional profiling
SCIEX triple quadrupole systems combine:
When your lab is faced with lots of samples and impending deadlines, you can't afford an unreliable mass spectrometry system that might crack when faced with pressure. The SCIEX Triple Quad 4500 system is designed to meet critical needs and avoid putting your lab or reputation at risk.
Unleash the analytical power of the next-generation software platform for data acquisition and processing.
Technical note
Cutting into tallow: A lipidomic exploration of animal-based and alternatively sourced meat
Alternative meats are becoming very common in grocery stores and restaurants as concerns of global climate change are on the rise. While these products are based on other sources of proteins, lipids play an important role in these products as they contribute to taste and texture. This technical note describes how to analyze over 1000 analytes in a single MRM method to determine protein sources of plant or animal.
Technical note
Profiling and identification of hop-derived bitter compounds in beer using LC-MS/MS
The SCIEX X500R QTOF System was used to analyze 40 different beer samples in +ESI using information dependent acquisition (IDA) of MS and MS/MS spectra. A targeted approach was employed to profile 26 known hop-derived bitter compounds, using SCIEX OS Software. This study shows that LC-MS/MS is a valuable tool to study flavor and aroma profile in food and beverage samples.
Technical note
Screening and identification of natural products in citrus oil
A comprehensive suite of pesticides and natural products were identified in citrus oils through non-target SWATH Acquisition with MS/MS fragmentation spectral matching against the NIST library. Non-target data processing demonstrated the potential to detect hundreds of natural products whereas a targeted screening list was used to focus on 15 individual PMFs. A unique feature of this workflow is that both chemical classes –pesticides and natural products – were analyzed in the same injection, thus greatly simplifying the analysis.
Technical note
Citrus metabolomics with the ZenoTOF 7600 system
Highly sensitive MS/MS spectra using the ZenoTOF 7600 system improved nontargeted compound identification in citrus fruit extracts from mandarin oranges grown in the Sichuan province of China. The high quality fragmentation spectra from Zeno trapping enabled higher confidence in MS/MS library matches. Over 100 citrus components were identified through spectral matching against the Natural Products HR-MS/MS Library