The evolution of precursors to form secondary organic aerosol (SOA) is still a challenge in atmospheric chemistry. Chamber experiments were conducted to simulate the ambient OH oxidation of naphthalene and α-pinene, which are typical markers of anthropogenic and biogenic emissions. Particulate matters were sampled by quartz filters and were analyzed by comprehensive two-dimensional gas chromatography (GC×GC) coupled with a thermal desorption system (TD) and a mass spectrometer (MS). A four-step procedure is proposed based on chromatographic differentiation in SOA fingerprint identification, including initial resolving, translation and alignment, pixel-based differentiation, and marker identification. Data processing begins by creating a 65-organic consensus template from peak identification results. Peaks are screened with matching factors >700. Retention time shifts of Naphthalene and α-pinene oxidation products are 0.5 min and 0.1 min respectively. A reverse matching factor >800 is used to define high-confidence compound recognition, and the ±50 retention index tolerance assists structure ID for SOA study. Two new markers are found for the first time, i.e., phthalimide in naphthalene-OH oxidation with the occurrence of NO, and citronellol epoxide from α-pinene-OH oxidation. Our finding offers fresh insights into the complex chemical pathways of these precursors and improving our understanding of SOA formation mechanisms. Our workflow works well for fingerprint identification and could be utilized in finding SOA intermediates and source appointments.
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http://dx.doi.org/10.1016/j.chroma.2024.465617 | DOI Listing |
Water Res
December 2024
College of Environment, Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Hohai University, Nanjing 210098, PR China.; Suzhou Research Institute, Hohai University, Suzhou 215100, PR China.. Electronic address:
With the increasing prevalence of emerging contaminants (ECs) in the environment, gaining a deeper understanding of the chemical information pertaining to the contamination source is a crucial step toward effective prevention and control of these ECs. This study presents a novel strategy for analyzing the chemical information of contamination sources using gas chromatography-high resolution mass spectrometry (GC-HRMS) and demonstrates it on landfill leachate, a common and representative environmental contamination source. Initially, a non-targeted screening approach using HRMS was used to characterize a total of 5344 organic compounds with identification confidence levels 1 and 2 in 14 landfill leachate samples.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey, Nuevo Leon 64849, Mexico.
Fatty acid (FA), tocopherol, and phytosterol profiles are used in avocado oil purity standards. However, blends with other oils can mimic the profile of pure avocado oil, resulting in similar ranges for these molecules. Therefore, fatty alcohol esters (FAEs) uniquely of spp.
View Article and Find Full Text PDFFood Chem
December 2024
Panvascular Diseases Research Center, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou 324000, China; Laboratory of Food Nutrition and Clinical Research, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310012, China. Electronic address:
This study tackled mislabeling fraud in vegetable oils, driven by price disparities and profit motives, by developing an approach combining desorption electrospray ionization mass spectrometry (DESI-MS) with a shallow convolutional neural network (SCNN). The method was designed to characterize lipids and distinguish between nine vegetable oils: corn, soybean, peanut, sesame, rice bran, sunflower, camellia, olive, and walnut oils. The optimized DESI-MS method enhanced the ionization of non-polar glycerides and detected ion adducts like [TG + Na], [TG + NH].
View Article and Find Full Text PDFSci Rep
December 2024
Bioinformatics Laboratory, Research & Developmental Cell, Parul University, Vadodara, 391760, Gujarat, India.
Finger millet blast caused by Pyricularia grisea hinders crop's growth and is a serious threat to economic yield. It can lead to massive yield losses i.e.
View Article and Find Full Text PDFSci Rep
December 2024
Centre for Ore Deposit and Earth Sciences, School of Natural Sciences, University of Tasmania, Hobart, Australia.
Volcanic stratigraphy reconstruction is traditionally based on qualitative facies analysis complemented by geochemical analyses. Here we present a novel technique based on machine learning identification of crystal size distribution to quantitatively fingerprint lavas, shallow intrusions and coarse lava breccias. This technique, based on a simple photograph of a rock (or core) sample, is complementary to existing methods and allows another strategy to identify and compare volcanic rocks for stratigraphic correlation.
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