Tracefinder
TraceFinder is a software platform designed for analytical laboratories. It provides a comprehensive workflow solution for data acquisition, processing, and reporting of analytical data from various laboratory instrumentation. TraceFinder's core function is to efficiently manage and streamline the analysis of samples, enabling laboratories to improve their productivity and regulatory compliance.
Lab products found in correlation
70 protocols using tracefinder
Proteinogenic Amino Acid Isotopolog Analysis
Metabolite Extraction and Analysis Protocol
LC-MS analysis was performed as described previously10 (link) using HILIC chromatography and a Q-Exactive mass spectrometer (Thermo Fisher Scientific). Raw data analysis was performed using TraceFinder (Thermo Fisher Scientific) software. Peak areas were normalized to cell volume in case of in vitro experiments, or to wet weight (mg) tissue.
Multiomics Data Integration Protocol
Chemical Profiling of Piper longum Linn
Plasma Metabolite Quantification by GC-MS
Quantitative Analysis of Ebastine in Cells
Ginsenoside Identification via MS/MS
Intracellular Metabolite Extraction and LC-MS Analysis
UPLC-Orbitrap Metabolic Profiling
Non-targeted Screening of Chemicals
was processed by peak detection, retention time alignment, and peak
integration followed by isotope ratio filtering. This resulted in
a processed dataset with peak areas from extracted ions at specific
retention times corresponding to different compounds. Data processing
was done in Tracefinder (version 4.1, Thermo Scientific, MA, U.S.)
using the analysis mode for unknown screening, which enables nontargeted
screening of data. Peak picking was done with the deconvolution plugin
(version 1.3, Thermo Scientific, MA, U.S.). The retention time alignment
window was set to 10 s, the accurate mass tolerance to 10 ppm, the
signal-to-noise (s/n) threshold to 5, the total ion-chromatogram intensity
threshold to 500,000, the ion overlap window to 90–99%, and
the response threshold to 10,000.
The extracted peaks were automatically
time-aligned and integrated in the unknown screening view using the
Avalon detection algorithm and the nearest RT detection method with
seven smoothing points. Data representing compounds present in blank
samples were manually removed from each crude HD dataset. The datasets
for spiked soil and textile samples were processed and manually merged
after removing peaks found in blank samples. The variation in the
spiked matrix data was higher than in the crude HD data, so the m/z deviation threshold was increased to
0.01 to permit merging.
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