High-precision analysis of toxic metals in lithium-ion battery materials across various complex media.

Background: Present regulations regarding the management and recycling of spent Lithium-ion batteries (LIBs) are inadequate, which may lead to the pollution of lithium (Li) and heavy metals in water and soil during the informal disposal of such batteries. To comprehend the distribution of toxic metals within spent LIBs and contaminated environmental media, precise analytical methods for toxic metals in these materials are crucial. However, due to the chemical complexity of LIBs materials (e.

Target Analysis of Polychlorinated Naphthalenes and Nontarget Screening of Organic Chemicals in Bovine Milk, Infant Formula, and Adult Milk Powder by High-Resolution Mass Spectrometry.

Infant formula is intended as an effective substitute for breast milk but is the main source of polychlorinated naphthalenes (PCNs) to nonbreastfed infants. We performed target and nontarget analyses to determine PCNs and identify other organic contaminants in infant formula. The mean PCN concentrations in infant formula, milk powder, and bovine milk were 106.

Research on Random Drift Model Identification and Error Compensation Method of MEMS Sensor Based on EEMD-GRNN.

Random drift error is one of the important factors of MEMS (micro-electro-mechanical-system) sensor output error. Identifying and compensating sensor output error is an important means to improve sensor accuracy. In order to reduce the impact of white noise on neural network modeling, the ensemble empirical mode decomposition (EEMD) method was used to separate white noise from the original signal.

Enhanced phosphate remediation of contaminated natural water by magnetic zeolitic imidazolate framework-8@engineering nanomaterials (ZIF8@ENMs).

The efficient enrichment and reutilization of phosphate from natural water still remains a daunting challenge to satisfy the increasingly stringent phosphate discharge criteria. In response to this problem, the presented study successfully synthesizes a series of magnetic zeolitic imidazolate framework-8@engineering nanomaterials (ZIF8@ENMs) via a two-step hydrothermal and coprecipitation method by facilely growing ZIF8 and/or FeO on various functional ENMs. Structure morphology, chemical composition and hysteresis curve characterizations demonstrate the successful formation of magnetic FeO-ZIF8@ENM.

Phosphate removal by ZIF-8@MWCNT hybrids in presence of effluent organic matter: Adsorbent structure, wastewater quality, and DFT analysis.

Recently, zeolitic imidazolate framework-8 (ZIF8) and its derivatives have been applied in aqueous contaminant removal. Herein, three types of ZIF8@carbon nanotube (CNT) hybrids harvesting different pore structures and chemical bonding information are utilized for phosphate removal in the typical wastewater of activated sludge system (SW) and partial nitrification-denitrification treatment system (PND). Effluent organic matter (EfOM) is found to compete with phosphate for adsorption sites on adsorbents, resulting in reducing adsorptive capacities for phosphate, and the negative effect trend to become severer with increasing EfOM concentrations.