0
Article Tier 2 Environmental Sources Policy & Risk Sign in to save

MPs data

AI summary Read the abstract

Researchers compiled metabolomics data on microplastic pollution in rice at three contamination levels (low, medium at ~200 items/kg, and high at ~2000 items/kg), using LC-MS to generate metabolite peak area profiles that distinguish pollution risk levels.

This dataset contains data on microplastic pollution in rice at different levels. Metabolite peak area data were obtained through LC-MS, covering three risk levels: low, medium, and high. Low risk corresponds to nearly no pollution, medium risk is about 200 items/kg, and high risk is approximately 2000 items/kg. It includes both raw and processed data, with data processing carried out using ribitol peak area as an internal standard. Additionally, relevant metabolite data were obtained by collecting open-source data from various literature and contacting the corresponding authors.

More Papers Like This

Article Tier 2

MPs data

AI summary Read the abstract

Researchers compiled metabolomics data on microplastic pollution in rice at three contamination levels (low, medium at ~200 items/kg, and high at ~2000 items/kg), using LC-MS to generate metabolite peak area profiles that distinguish pollution risk levels.

Article Tier 2

Microplastic contamination in Indian rice: A comprehensive characterization and health risk assessment

AI summary Read the abstract

Researchers found microplastics in all samples of Indian rice tested, averaging about 30 particles per 100 grams, with polyethylene and PET being the most common types. The study estimated daily microplastic intake from rice consumption for men, women, and children, highlighting that this dietary staple is a potential pathway for plastic particles to enter the human body.

Article Tier 2

A Review of Liquid Chromatography-Mass Spectrometry Strategies for the Analyses of Metabolomics Induced by Microplastics

AI summary Read the abstract

This review summarized liquid chromatography-mass spectrometry strategies for analyzing metabolomic changes induced by microplastic exposure, covering analytical approaches for understanding how microplastics disrupt metabolic pathways in living organisms.

Article Tier 2

Microplastics affect rice (Oryza sativa L.) quality by interfering metabolite accumulation and energy expenditure pathways: A field study

AI summary Read the abstract

Researchers conducted a field study examining how polystyrene microplastics affect rice grain quality at the molecular level using metabolomic and transcriptomic analysis. They found that microplastic exposure interfered with metabolite accumulation and energy pathways in the rice plants, ultimately reducing grain quality. The study provides real-world evidence that microplastic contamination in agricultural soils can directly compromise the nutritional quality of a major food crop.

Article Tier 2

Comprehensive evaluation of dual-mode LC-MS conditions for enhanced metabolomic profiling: Application to microplastic exposure studies

AI summary Read the abstract

Researchers optimized dual-mode LC-MS conditions for comprehensive metabolomic profiling and applied the method to analyze metabolic changes in organisms exposed to polystyrene microplastics, identifying significant disruptions in lipid metabolism and amino acid pathways.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper