Read the full paper: <i>Convolvulus althaeoides</i> as a Potential Natural Source in Cancer Prophylaxis and Treatment: LC‐ESI‐MS/MS, GC‐MS, In Vitro, and In Silico Investigations

A green PDMS sorptive sampling loop coupled with complementary liquid and gas chromatography–mass spectrometry enabled detection of migrating chemicals from plastic food contact materials under everyday-use scenarios. The approach revealed diverse additives and non-intentionally added substances, supporting improved exposure assessment of plastic-derived migrants. ABSTRACT Comprehensive analysis of migrating compounds from plastic food contact materials (FCMs) is analytically demanding due to the structural diversity and broad physicochemical properties of intentionally and non-intentionally added substances (IAS and NIAS). This necessitates the development of advanced, multidimensional separation techniques coupled with high-resolution detection for trace-level characterization. Five million tones of chemical additives are incorporated into plastic FCMs annually, which is concerning considering the health risks associated with human exposure to migrating chemicals. This study provides a simplified green sorptive sampling loop for detecting and quantifying IAS and NIAS that migrate from FCMs during everyday use. A polydimethylsiloxane (PDMS) sorptive sampler loop was used as the sampling device, allowing migrated compounds to be enriched directly from the sample matrix. After extraction, the same sampler format was compatible with two analytical workflows: thermal desorption directly into the GC inlet for GC×GC–TOFMS analysis, or liquid back-extraction into solvent for subsequent UHPLC-IMS-MS analysis. Complementary chromatography and ion mobility high-resolution mass spectrometry (UHPLC–IMS–MS and GC×GC–TOFMS) enabled the detection and quantification of a range of chemical compounds at trace levels, including phthalates, UV absorbers, stabilizers, surfactants, and hydrocarbons. Over 30 compounds were detected as migrating from FCMs using GC–MS, and 26 compounds were identified using LC–MS. Unknown target identification using LC–MS was aided by the use of collision cross section (CCS) values, thus strengthening putative identification. Limits of detection of the eight target analytes ranged from 0.023 to 97 ng L−1 for LC–MS and IAS were detected at concentrations ranging from 0.0065 to ∼25 µg L− 1. Our study exemplifies the wide range of chemical compounds that migrate from FCMs during everyday FCM use. The green sampling technique presented here allowed the quantification of daily exposure to these chemicals and has potential application to human health and environmental risk assessments.

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Session 1: Reliable VOC Preparation and Temporal ControlIn high-throughput GC/MS analysis, a critical yet frequently overlooked source of technical variation is the inconsistent "waiting time" betw...

Go GC가 전체 실행 정지(STW) 중 읽는 힙 외부 메타데이터도 스왑으로 밀려날 수 있으며, 이를 다시 읽는 과정에서 최대 40ms 정지 가 발생함 커널 6.8과 MGLRU를 사용한 Hetzner 실험에서 정지 시간 중앙값은 약 51µs 였지만, 최악의 정지에서는 ...

Abstract: Picrotoxane-type sesquiterpene alkaloids, including dendrobine, are characteristic constituents of Dendrobium nobile, but the enzymes that produce their proposed skeletal precursors remain in completely characterized. Here, we combined tissue metabolite profiling with genome-guided screening and biochemical characterization of terpene synthases (TPSs). GC-MS analysis revealed variation in sesquiterpenoid profiles and dendrobine signals among tissues and developmental stages. Manual cu…

Rationale Volatile methylcyclosiloxanes, particularly octamethylcyclotetrasiloxane (D4), decamethylcyclopentasiloxane (D5), and dodecamethylcyclohexasiloxane (D6), are commonly found in the environm...

GC University Hyderabad Announces 2027 Admissions for BS, MS & PhD With Scholarships — Key admissions breakdown and aggregate benchmark for Pakistani students and parents: GC University Hyderabad opens 2027 admissions for 4-year BS, MS, MBA, and P...

Job #AJO30989, Postdoctoral Associate Position in Biosocial Science, Sociology - Human Nature Lab, Yale University, New Haven, Connecticut, US