Publications by authors named "Zichun Wu"

Black carbon (BC) poses acute negative health and environmental impacts. Accurate BC quantification is important for assessing its impacts and developing effective control strategies. However, the unclear optical properties and numerous methods of BC restrict its accurate quantification.

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  • O-Linked β-acetylglucosamine (O-GlcNAc) modification on proteins is important for regulating various biological processes, but analyzing it at a large scale is challenging.
  • The study compared three different methods (antibody, lectin AANL6, and an OGA mutant) for isolating O-GlcNAc proteins from pancreatic cancer cell line PANC-1 using advanced mass spectrometry techniques.
  • Results indicated that each method captures different subsets of O-GlcNAc proteins, and using multiple data analysis tools can improve overall detection and understanding of O-GlcNAc proteomics.
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Background: Pelvic inflammatory disease (PID) is a common gynecological condition associated with significant morbidity and healthcare costs. Emerging evidence suggests that dietary factors, such as magnesium intake, may play a role in PID risk. However, the relationship between dietary magnesium intake and PID risk remains uncertain.

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  • Non-road mobile machinery (NRMM) is increasingly contributing to black carbon (BC) emissions, yet its optical properties, specifically the mass absorption cross-section (MAC), remain poorly defined.
  • This study analyzed real-world measurements from 41 NRMM units and discovered that higher organic carbon to elemental carbon (OC/EC) ratios enhance BC light absorption, resulting in increased MAC values.
  • The research also indicates that stricter emission standards are linked to a notable decrease in MAC values, and it proposes a new MAC value of 11.5 ± 3.4 m/g for NRMM at a 550 nm wavelength, which is significantly higher than previously used values.
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  • This study focuses on greenhouse gas (GHG) emissions from crop residue open burning (CROB) in China, emphasizing its importance for carbon neutrality goals.
  • A high-resolution emissions inventory was created using VIIRS data, finding discrepancies in emissions estimates based on fire counts versus fire radiative power, which affects accuracy.
  • From 2012 to 2021, CROB GHG emissions in China decreased by 31.2%, with significant regional variations and expected future reductions of 57.3%-77.9% by 2060 if measures are implemented effectively.
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  • Black carbon (BC) emissions from agricultural machinery (AM) in China are significant but not well understood, prompting a study that measured BC emissions and factors during different tillage processes.
  • The research reveals diverse BC emission factors (EFs) influenced by the type of tillage and emission standards, showing that newer machinery (China III standards) significantly lowers emissions compared to older models (China II standards).
  • The study estimates varying emission levels of BC and CO during corn and wheat production, highlighting the potential for reducing overall emissions from AM and emphasizing the need for better emission control strategies.
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  • Non-road construction equipment (NRCE) contributes significantly to urban air pollution, but research on its emissions is still limited.
  • A study measuring emissions from excavators and loaders found that emission rates varied widely based on operation modes, with high emissions during cold starts.
  • The effectiveness of tightening emission standards has generally reduced multi-pollutant emissions, though CO and NOx levels remain problematic, highlighting differences between engine types and the need for more accurate emission factors for NRCE.
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  • This study investigates the connections between instantaneous black carbon (BC) emissions and driving behaviors of diesel trucks (DTs) to improve vehicle emissions estimation systems.
  • Measurements were taken from 22 real-world diesel trucks to analyze black carbon emissions in relation to vehicle specific power (VSP), fuel consumption, and emission factors (EFs).
  • The findings reveal that BC emissions are significantly lower for trucks with diesel particulate filters, and fluctuations in VSP and EFs were observed, leading to established formulas for better emission quantification.
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