Unveiling the impact of biodegradable polylactic acid microplastics on meadow soil health

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(2)

Published: Jan. 8, 2025

Language: Английский

---

Research on the Transferability of SSC Detection Models Between Different Instruments for Fresh Apricots

Smart agriculture, Journal Year: 2024, Volume and Issue: unknown, P. 147 - 166

Published: Jan. 1, 2024

Language: Английский

---

Unveiling the impact of biodegradable polylactic acid microplastics on meadow soil health

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 13, 2024

Soil microplastics (MPs) pollution has garnered considerable attention in recent years. The use of biodegradable plastics for mulching led to significant quantities plastic entering agro-ecosystems. However, the effects polylactic acid (PLA) on meadow soils remain underexplored. This study investigates impacts PLA varying particle sizes and concentrations soil physicochemical properties, enzyme activities, microbial communities through a 60-day incubation experiment. PLA-MPs increased pH, organic matter (SOM), total nitrogen (TN) available potassium (AK) content, as well enhanced activities superoxide dismutase (S-SOD), peroxidase (S-POD), catalase (S-CAT), β-glucosidase(S-β-GC) urease (S-UE) activities. Conversely, decrease alkaline phosphatase (S-ALP) activity was observed. influence properties more pronounced with larger sizes, whereas smaller particles had greater effect Additionally, an increase abundance Acidobacteriota, Chloroflexi, Gemmatimonadota, while Proteobacteria, Actinobacteriota, Patescibacteria declined. Mental test analysis indicated that AK, S-UE, S-β-GC are primary factors influencing community composition. Phylogenetic Investigation Communities by Reconstruction Unobserved States (PICRUSt2) demonstrated modify bacterial metabolic pathways. Our results suggest size concentration differentially affect nutrients structure function, observed at higher concentrations.

Language: Английский

---

Spectral Analysis of Dissolved Organic Carbon in Seawater by Combined Absorption and Fluorescence Technology

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(12), P. 2297 - 2297

Published: Dec. 13, 2024

Dissolved organic carbon refers to soluble substances in water bodies and can be used as an important indicator for pollution. Spectroscopic detection is commonly detect dissolved seawater. However, independent spectral methods are susceptible interference, insufficient extraction of the data features occur. Accordingly, this study introduces a multisource fusion method that relies on combination principal component analysis convolutional neural networks construct model. The Bayesian correction calibration, content 10 groups unfiltered seawater samples analyzed. Correcting acquired from containing impurities significantly improved linear correlation coefficient R2 0.8891 0.9838. Similarly, mean absolute error was reduced 15.33% 3.24%, while individual effectively controlled, remaining within 9%. obtained results show developed integrates ultraviolet absorption fluorescence overcomes interference other using method. Overall, provides highly accurate system with potential applications monitoring marine environment.

Language: Английский

---

Rapid non-destructive identification of blueberry origin based on near infrared spectroscopy combined with wavelength selection

Infrared Physics & Technology, Journal Year: 2024, Volume and Issue: unknown, P. 105688 - 105688

Published: Dec. 1, 2024

Language: Английский

---