An automated molecular-feature database (MFD) consisting of the exact monoisotopic mass of 100 compounds, at least one exact mass product ion for each compound, and chromatographic retention time were used to identify pesticides in food and water samples. The MFD software compiles a list of accurate mass ions, excludes noise, and compares them with the monoisotopic exact masses in the database. The screening criteria consisted of +/-5 ppm accurate mass window, +/-0.2 min retention time window, and a minimum 1000 counts (signal-to-noise (S/N) ratio of approximately 10:1). The limit of detection for 100 tested compounds varied from <0.01 mg/kg for 72% of the compounds to <0.1 mg/kg for 95% of the compounds. The MFD search was useful for rapid screening and identification of pesticides in food and water, as shown in actual samples. The combined use of accurate mass and chromatographic retention time eliminated false positives in the automated analysis. The major weakness of the MFD is matrix interferences and loss of mass accuracy. Strengths of the MFD include rapid screening of 100 compounds at sensitive levels compared with a manual approach and the ease of use of the library for any accurate mass spectrometer instrumentation capable of routine sub-5-ppm mass accuracy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/rcm.2781 | DOI Listing |
J Chromatogr A
February 2025
State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address:
Polyethylene glycol (PEG) is one kind of polymeric pharmaceutical excipient widely used in pharmaceutics. The critical quality attributes (CQAs) are essential to their physicochemical properties and functions. However, there is no effective strategy to rapidly and simply analyze PEG multi-CQAs.
View Article and Find Full Text PDFJ Mol Graph Model
January 2025
N.N. Semenov Federal Research Center for Chemical Physics, Kosygina Street 4, 119991, Moscow, Russia.
Predicting molecular properties with the help of Neural Networks is a common way to substitute or enhance comprehensive quantum-chemical calculations. One of the problems facing researchers is the choice of vectorization approach to representing the solvent and the solute for the estimator model. In this work, 10 different approaches have been investigated for both organic solute and solvent including vectorizers that relied on macroscopic parameters, functional groups classification, molecular graphs, or atomic coordinates.
View Article and Find Full Text PDFThe landscape of sex differences in Colorectal Cancer (CRC) has not been well characterized with respect to the mechanisms of action for oncogenes such as KRAS. However, our recent study showed that tumors from male patients with KRAS mutations have decreased iron-dependent cell death called ferroptosis. Building on these findings, we further examined ferroptosis in CRC, considering both sex of the patient and KRAS mutations, using public databases and our in-house CRC tumor cohort.
View Article and Find Full Text PDFJ Cell Mol Med
March 2024
Foshan Stomatological Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.
The connection between head and neck squamous cell carcinoma (HNSC) and M2 tumour-associated macrophages is not yet fully understood. We gathered gene expression profiles and clinical data from HNSC patients in the TCGA database. Using Consensus Clustering, we categorized these patients into M2 macrophage-related clusters.
View Article and Find Full Text PDFGenet Res (Camb)
January 2024
Anhui Medical College, Hefei, China.
Background: The association between acute myeloid leukemia (AML) and macrophage remains to be deeply explored.
Methods: Gene expression profiles and clinical variable characteristics of AML patients were collected from TCGA, GEO, and TARGET databases. Consensus clustering was employed to construct the macrophage-related clusters.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!