Airborne bacteria in the Central Mediterranean: Structure and role of meteorology and air mass transport

Romano, Salvatore; Salvo, Marco Di; Rispoli, Gennaro; Alifano, Pietro; Perrone, Maria Rita; Talà, Adelfia

doi:10.1016/j.scitotenv.2019.134020

Cited by 38 publications

(48 citation statements)

References 61 publications

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“…The "late spring" cluster was mainly composed of chemical components typically associated with the "Natural Soil," "Agricultural Soil," and "Vegetative Burning" PM sources (Table 1). A "heavy rain" cluster was also identified by [45] during the analyzed monitoring campaign ( Table 1).…”

Section: Metal Br P S and Se Mass Concentration Characterizationmentioning

confidence: 91%

“…Table 1. Clustering of the 20 PM10 samples analyzed in this study, according to Romano et al [45]. Main pollution sources and corresponding chemical fingerprints (according to the Chow [42] classification) are also reported.…”

Section: Metal Br P S and Se Mass Concentration Characterizationmentioning

confidence: 97%

“…Natural Soil, Agricultural Soil, Vegetative Burning Al, Ca, Fe, K, Mg, P, S, Si, Ti According to [45], the PM10 samples analyzed in this study can be associated with five different clusters, which are listed in Table 1. Main pollution sources contributing to each identified cluster are also given in Table 1, in addition to the main chemical fingerprints of each source [42].…”

Section: Samples Pm Sources Chemical Fingerprintsmentioning

confidence: 99%

“…Main pollution sources contributing to each identified cluster are also given in Table 1, in addition to the main chemical fingerprints of each source [42]. Romano et al [45] identified the sample clusters listed in Table 1 by mainly using the four-day analytical air mass back-trajectories (Figures SI9-SI23 of their paper). They used the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model version 4.8 from NOAA/ARL (https://www.ready.noaa.gov/; [46]).…”

Section: Samples Pm Sources Chemical Fingerprintsmentioning

confidence: 99%

“…In fact, observe from Figure 2 that the spring samples characterized by the highest total mass concentration (more than 5 µg m −3 for S13, S14, and S15) also presented larger values of OP V AA and OP V DTT responses. Romano et al [45] grouped S13, S14, and S15 as a "late spring sample" cluster ( Table 1). S3 and S12, which were identified as "desert dust" samples by [45], assumed the largest value of the total mass concentration of the analyzed elements (5.8 µg m −3 ) and the largest value of OP m AA (0.039 nmol min −1 µg −1 ).…”

Section: Samples Pm Sources Chemical Fingerprintsmentioning

confidence: 99%

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Oxidative Potential Sensitivity to Metals, Br, P, S, and Se in PM10 Samples: New Insights from a Monitoring Campaign in Southeastern Italy

et al. 2020

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Different analytical techniques were used in this work to investigate the relationships between oxidative potential (OP) and metal, Br, P, S, and Se concentration in PM10 samples. Dithiothreitol and ascorbic acid acellular assays were used to determine the oxidative potential (OP) in PM10 samples. The particle-induced X-ray emission technique was used to estimate the mass concentration of specific chemical elements. PM10 samples were collected in Lecce, a coastal site of the Central Mediterranean away from large sources of local pollution. Both winter and spring samples were analyzed to study the seasonal dependence of the relationships between OP values and chemical element concentrations. The Redundancy Discriminant Analysis (RDA) was applied to (volume- and mass-normalized) OP values as response variables and metal, Br, P, S, and Se concentrations as explanatory variables. RDA triplots allowed to visualize the main relationships between PM10 OP values and corresponding chemical element concentrations. Spearman correlation coefficients were also used to investigate the relationships between OP values and metal, Br, P, S, and Se concentrations, besides comparing RDA outcomes. The integrated approach based on two different techniques allowed to better highlight the potentially harmful effects associated with specific metals and other chemical elements in PM10 samples.

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Section: Metal Br P S and Se Mass Concentration Characterizationmentioning

confidence: 91%

Section: Metal Br P S and Se Mass Concentration Characterizationmentioning

confidence: 97%

Section: Samples Pm Sources Chemical Fingerprintsmentioning

confidence: 99%

Section: Samples Pm Sources Chemical Fingerprintsmentioning

confidence: 99%

Section: Samples Pm Sources Chemical Fingerprintsmentioning

confidence: 99%

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Oxidative Potential Sensitivity to Metals, Br, P, S, and Se in PM10 Samples: New Insights from a Monitoring Campaign in Southeastern Italy

et al. 2020

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An Integrative, Multiparametric Approach for the Comprehensive Assessment of Microbial Quality and Pollution in Aquaculture Systems

et al. 2021

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As the aquaculture sector significantly expanded worldwide in the past decades, the concept of sustainable aquaculture has developed with the challenge of not only maximizing benefits but also minimizing the negative impacts on the environment assuring, at the same time, food security. In this framework, monitoring and improving the microbiological water quality and animal health are a central topic. In the present study, we evaluated the seawater microbiological quality in a mariculture system located in a Mediterranean coastal area (Northern Ionian Sea, Italy). We furnished, for the first time, a microbial inventory based on conventional culture-based methods, integrated with the 16S rRNA gene metabarcoding approach for vibrios identification and diversity analyses, and further implemented with microbial metabolic profiling data obtained from the Biolog EcoPlate system. Microbiological pollution indicators, vibrios diversity, and microbial metabolism were determined in two different times of the year (July and December). All microbial parameters measured in July were markedly increased compared to those measured in December. The presence of potentially pathogenic vibrios is discussed concerning the risk of fish disease and human infections. Thus, the microbial inventory here proposed might represent a new multiparametric approach for the suitable surveillance of the microbial quality in a mariculture system. Consequently, it could be useful for ensuring the safety of both the reared species and the consumers in the light of sustainable, eco-friendly aquaculture management.

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Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches

Paramaguru¹,

Panda

Suna

et al. 2023

Theor Appl Climatol

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Airborne bacteria in the Central Mediterranean: Structure and role of meteorology and air mass transport

Cited by 38 publications

References 61 publications

Oxidative Potential Sensitivity to Metals, Br, P, S, and Se in PM10 Samples: New Insights from a Monitoring Campaign in Southeastern Italy

Oxidative Potential Sensitivity to Metals, Br, P, S, and Se in PM10 Samples: New Insights from a Monitoring Campaign in Southeastern Italy

An Integrative, Multiparametric Approach for the Comprehensive Assessment of Microbial Quality and Pollution in Aquaculture Systems

Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches

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