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The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data points of POC concentration in soils and applied empirical modeling and machine learning algorithms to investigate the spatial variation in POC concentration and its controls. The global POC concentration in topsoil (0-30 cm) is estimated as 3.02 g C/kg dry soil, exhibiting a declining trend from polar regions to the equator. Boreal forests contain the highest POC concentration, averaging at 4.58 g C/kg dry soil, whereas savannas exhibit the lowest at 1.41 g C/kg dry soil. We developed a global map of soil POC density in soil profiles of 0-30 cm and 0-100 cm with an empirical model. The global stock of POC is 158.15 Pg C for 0-30 cm and 222.75 Pg C for 0-100 cm soil profiles with a substantial spatial variation. Analysis with a machine learning algorithm concluded the predominate controls of edaphic factors (i.e., bulk density and soil C content) on POC concentration across biomes. However, the secondary controls vary among biomes, with solid climate controls in grassland, pasture, and shrubland, while strong vegetation controls in forests. The biome-level estimates and maps of POC density provide a benchmark for modeling C fractions in soils; the various controls on POC suggest incorporating biological and physiochemical mechanisms in soil C models to assess and forecast the soil POC dynamics in response to global change.
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http://dx.doi.org/10.1111/gcb.17619 | DOI Listing |
J Vet Diagn Invest
September 2025
Department of Veterinary Pathology, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
American foulbrood (AFB) and European foulbrood (EFB), caused by and , respectively, are severe bacterial diseases that significantly affect honey bee health and productivity worldwide. Rapid and accurate diagnosis is essential for effective disease management in apiaries. We developed and validated a multiplex point-of-care (POC) quantitative real-time PCR (qPCR) assay that enables simultaneous and rapid detection of and directly in apiaries.
View Article and Find Full Text PDFJ Vet Med Sci
September 2025
The School of Veterinary Medicine, Rakuno Gakuen University.
To diagnose milk fever (MF) in dairy cows under clinical practice, measurement of ionized calcium concentrations in blood using point-of-care (POC) devices is required. However, blood sampling poses a significant financial burden on farmers and increases the workload of veterinarians who must visit farms to perform the examinations. The present study aimed to evaluate whether the onset of MF could be predicted using colostrum samples, which can be collected by farmers themselves.
View Article and Find Full Text PDFJ Vet Diagn Invest
August 2025
Biomedical Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.
Porcine glucose and lactate concentrations measured with a point-of-care glucometer (POC-Glu; Guide Me) and a POC lactometer (POC-Lac; Lactate Plus) were compared to those from a comparative method (CM; COBAS-501c). Fresh whole blood samples ( = 175 glucose; = 272 lactate) from 10 healthy juvenile commercial-cross pigs (5 barrows, 5 gilts; 79-91-d-old) were collected over 12 d under various conditions. Comparisons were made with the Passing-Bablok regression and Bland-Altman method with multiple measurements per subject.
View Article and Find Full Text PDFJ Mater Chem B
August 2025
Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, Lerchenfeldstrasse 5, CH-9014, St. Gallen, Switzerland.
Urinary tract infections (UTIs) are among the most common bacterial infections, affecting approximately 150 million people worldwide each year. Currently, diagnosis is often made using culture-based methods, which are time-consuming and therefore costly. Point-of-care (POC) devices have the potential to provide a rapid and accurate UTI diagnosis, thereby improving treatment efficacy.
View Article and Find Full Text PDFTalanta
August 2025
Functional Materials and Devices Division, CSIR-Central Glass and Ceramic Research Institute, Kolkata, 700032, India. Electronic address:
Painless and instant analysis of neurotransmitters from an abandoned body fluid, like urine, would facilitate point-of-care (PoC) detection of several neurological disorders. As a step towards developing a non-invasive, fast, and PoC analytical tool for detecting urinary catecholamines, planar electrochemical sensors have been modified with a spinel ferrite-based nanocomposite comprising copper ferrite (CF) and reduced graphene oxide (rGO), and subsequently used for selective detection of dopamine in simulated urine. The sensors exhibited dopamine sensitivity in the range of 0.
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