Stable isotope methodology can be employed in the study and characterisation of soil carbonates on the basis of their reaction time during the acidification step.
I created this poster for the 2017 Arctic Change Conference.
The poster is a preliminary research that focuses on the Geochemistry of parts of the Canadian Hudson Bay.
Keywords:
Hydrocarbons
Radioisotopes
Redox Elements
Total Organic Carbon
Principal Components Analysis
Sediments
Stable isotope methodology can be employed in the study and characterisation of soil carbonates on the basis of their reaction time during the acidification step.
I created this poster for the 2017 Arctic Change Conference.
The poster is a preliminary research that focuses on the Geochemistry of parts of the Canadian Hudson Bay.
Keywords:
Hydrocarbons
Radioisotopes
Redox Elements
Total Organic Carbon
Principal Components Analysis
Sediments
Modification of mesoporous silica SBA-15 with different organic molecules to ...Iranian Chemical Society
The recognition of the biologically and environmentally important ions is of great interest in the field of chemical sensors in recent years. The fluorescent sensors as a powerful optical analytical technique for the detection of low level of various analytes such as anions and metal cations have been progressively developed due to the simplicity, cost effective, and selectivity for monitoring specific analytes in various systems. Organic-inorganic hybrid nanomaterials have important advantages as solid chemosensors and various innovative hybrid materials modified by fluorescence molecules were recently prepared. On the other hand, the homogeneous porosity and large surface area of mesoporous silica make it a promising inorganic support. SBA-15 as a two-dimensional hexagonal mesoporous silica material with stable structure, thick walls, tunable pore size, and high specific surface area is a valuable substrate for modification with different organic chelating groups. This review highlights the fluorescent chemosensors for ionic species based on modification of the mesoporous silica SBA-15 with different organic molecules, which have been recently developed from our laboratory.
Biomarker Geochemistry of Nkporo Shale from Ndi-Owerre in the Afikpo Basin, S...Premier Publishers
Biomarker analysis was conducted on shale samples belonging to the Cretaceous Nkporo sediments of the Afikpo Basin in southeastern Nigeria to determine the distribution of n-alkanes, pristane and phytane ratios (Pr/Ph), odd-over-even preference (OEP), carbon preference index (CPI), transformation ratios. These parameters revealed the source, depositional conditions and maturity of the organic matter. Ts/Ts + Tm values of 0.9 to 0.12 and moretane/hopane ratio of 0.33 to 0.35 indicate shales are thermally immature to marginally mature. The presence of long-chain aliphatics (C19-35) in the shale matrix suggests shale can atleastgenerate oil and gas. Data show high Pristane/Phytane (Pr/Ph) values and preeminence of intermediate molecular weight n-alkanes (nC12 - nC33). The predominance of Pr against Ph suggests humic, toxic to dysaerobic organic matter origin. Distributed n-alkane patterns of gas chromatograms are non-unimodal with varying peaks. They show maximal between nC12 - nC33 with no remarkable protrusion, indicating slight or no organic matter alteration. The prevalence of OEP values (0.23 -2.10) and CPI values ranging from 1.09 and 1.61 with average oxygen indexes of 53.33mgHC/gTOC suggests donation from mostly terrestrial organic matter poor in hydroxl groups.
This is an introduction to Maggie Ziriax\'s project on the stable isotope analysis of the teeth from Necropolis 6. Hopefully we can find out more about this population\'s diet and geographical origins from this analysis. Good luck Maggie!
DSD-INT 2019 Elbe Estuary Modelling Case Studies-StanevDeltares
Presentation by Emil Stanev (HZG Institute of Coastal Research, Germany), at the DANUBIUS Modelling Workshop, during Delft Software Days - Edition 2019. Friday, 8 November 2019, Delft.
Modification of mesoporous silica SBA-15 with different organic molecules to ...Iranian Chemical Society
The recognition of the biologically and environmentally important ions is of great interest in the field of chemical sensors in recent years. The fluorescent sensors as a powerful optical analytical technique for the detection of low level of various analytes such as anions and metal cations have been progressively developed due to the simplicity, cost effective, and selectivity for monitoring specific analytes in various systems. Organic-inorganic hybrid nanomaterials have important advantages as solid chemosensors and various innovative hybrid materials modified by fluorescence molecules were recently prepared. On the other hand, the homogeneous porosity and large surface area of mesoporous silica make it a promising inorganic support. SBA-15 as a two-dimensional hexagonal mesoporous silica material with stable structure, thick walls, tunable pore size, and high specific surface area is a valuable substrate for modification with different organic chelating groups. This review highlights the fluorescent chemosensors for ionic species based on modification of the mesoporous silica SBA-15 with different organic molecules, which have been recently developed from our laboratory.
Biomarker Geochemistry of Nkporo Shale from Ndi-Owerre in the Afikpo Basin, S...Premier Publishers
Biomarker analysis was conducted on shale samples belonging to the Cretaceous Nkporo sediments of the Afikpo Basin in southeastern Nigeria to determine the distribution of n-alkanes, pristane and phytane ratios (Pr/Ph), odd-over-even preference (OEP), carbon preference index (CPI), transformation ratios. These parameters revealed the source, depositional conditions and maturity of the organic matter. Ts/Ts + Tm values of 0.9 to 0.12 and moretane/hopane ratio of 0.33 to 0.35 indicate shales are thermally immature to marginally mature. The presence of long-chain aliphatics (C19-35) in the shale matrix suggests shale can atleastgenerate oil and gas. Data show high Pristane/Phytane (Pr/Ph) values and preeminence of intermediate molecular weight n-alkanes (nC12 - nC33). The predominance of Pr against Ph suggests humic, toxic to dysaerobic organic matter origin. Distributed n-alkane patterns of gas chromatograms are non-unimodal with varying peaks. They show maximal between nC12 - nC33 with no remarkable protrusion, indicating slight or no organic matter alteration. The prevalence of OEP values (0.23 -2.10) and CPI values ranging from 1.09 and 1.61 with average oxygen indexes of 53.33mgHC/gTOC suggests donation from mostly terrestrial organic matter poor in hydroxl groups.
This is an introduction to Maggie Ziriax\'s project on the stable isotope analysis of the teeth from Necropolis 6. Hopefully we can find out more about this population\'s diet and geographical origins from this analysis. Good luck Maggie!
DSD-INT 2019 Elbe Estuary Modelling Case Studies-StanevDeltares
Presentation by Emil Stanev (HZG Institute of Coastal Research, Germany), at the DANUBIUS Modelling Workshop, during Delft Software Days - Edition 2019. Friday, 8 November 2019, Delft.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Composite sea level prediction in the Mediterranean
Sea - comparisons with observations
By Florent Lyard and Laurent Roblou
Abstract
In this presentation, we focus on the sea level recorded and modelled in the Mediterranean Sea during the year
2002. Two dynamical models are made available to us, the first one designed to solve the ocean circulation
(Mercator Psy2-v1 (Newsletter Mercator N°8)) and the second one to solve the tide and storm surge processes
(Mog2D). We challenge the assumption that a combined use of those two models (i.e. through a full or partial
summation) should provide an optimal sea level predicting tool. By comparing with tide gauge measurements, the
predicting skills of models, alone and/or combined together, are estimated for different frequency ranges. The
two major conclusions that can be drawn from this study is that first a combination of low-pass filtered Mercator
plus Mog2D closely fits the recorded data, and second the Mog2D low frequency sea level signal is surprisingly
needed in this combination to obtain the best prediction (instead of the low-pass filtered Inverted Barometer
(IB)). Further investigations will be necessary to understand precisely the reasons of the latter finding.
C3.07: The use of surface reflectance and simulated true colour to assess a c...Blue Planet Symposium
Aquatic biogeochemical models are vital tools in understanding and predicting human impacts on water quality. Biogeochemical models typically predict in-situ chlorophyll concentration but are assess against empirical algorithms that use remotely-sensed observations. The mismatch between the model and observed quantities is the major hindrance to model assessment and data assimilation of remotely-sensed water quality data in aquatic biogeochemical models. We have develop a spectrally-resolved optical model that produces surface reflectance as a function of depth-resolved biogeochemical model properties such as phytoplankton biomass and suspended sediment concentrations. Using a 4 km resolution coupled hydrodynamic, optical, sediment, biogeochemical model configured for the Great Barrier Reef, we compare model-derived surface reflectance with observed reflectance at the 8 MODIS ocean colour bands. The maximum mean absolute error over the model domain for the 8 bands is -0.003 sr$^{-1}$, compared to a typical surface reflectance across the optical bands of 0.02 sr$^{-1}$. The error in surface reflectance is dominated by the errors in the model predicted state (i.e. suspended sediment or chlorophyll concentrations) rather than the optical model parameterisation itself. Thus simulated surface reflectance can be used for assessment and assimilation of surface reflectance as a means to validate and improve aquatic biogeochemical models. Additionally, we combine simulated surface reflectance at 645, 555 and 470 nm in a red/green/blue (RGB) colour model to produce simulated true colour images during the passage of tropical cyclone Yasi in February 2011. Simulated true color provides a visually-informative image to simultaneous consider circulation, sediment plumes, bottom light quality, and bottom reflectance in a biogeochemical model.
Presentation from the Kick-off Meting "Seasonal to Decadal Forecast towards Climate Services: Joint Kickoff Meetings" for ECOMS, EUPORIAS, NACLIM and SPECS FP7 projects.
In this work the impact of the tidal wave on pollutant residence time within Nador
lagoon has been computed using an Eulerian approach and a 2D hydrodynamical model.
The model is based on the finite volume method; it solves the shallow water equations on
spatial domain that represents the Nador lagoon. The residence time has been defined
through the remnant function of a passive tracer released inside the lagoon. The renewal
capacity of the Nador Lagoon has been investigated when forced by the astronomic tide.
The influence of tidal wave on residence time has been defined by the return flow, and
computed for two scenarios during winter and spring periods.
Characterization and Humidity Sensing Application of WO3-SnO2 NanocompositeIOSR Journals
Studies on the sensitivity of the electrical resistance and fabrication process of SnO2 doped WO3
nanometer materials for sensing applications are reported in details .Other properties such as reproducibility,
aging and hysteresis were also recorded and found satisfactory. The sensing mechanism was discussed based on
their annealing temperature, composition, crystallite size, surface area and porosity of the sensing element. In
general, at low humidity, surface area and water adsorption plays the dominant role, while at high humidity,
mesopore volume and capillary condensation become important. At the annealing temperature 600°C, sample 3
weight % of SnO2 doped WO3 nanocomposites have been prepared through solid-state reaction route, shows
average sensitivity of 18.61 MΩ/%RH in the 15%-95% RH range, lower hysteresis, less effect of ageing and
high reproducibility. It was observed that as resistance of the pellets continuously decreased when relative
humidity in the chamber was increased from 15% to 95%. As calculated from Scherer’s formula, crystallite size
for the sensing elements of SnO2 doped WO3 are in 11–234 nm range, respectively.
For most scientists and scientific organizations, external communications is an afterthought. In this age of “instant” news and nonstop social media feeds, how can scientists break through the noise and broaden the appeal of their research to garner media attention and grow public understanding? Hsiao-Ching Chou, the Director of Communications at Institute for Systems Biology, shares some insight about how she was able to transform the communications program at ISB from zero to a bustling network of news – and on a nonprofit budget.
Monica Orellana is a senior scientist at the Institute for Systems Biology. Her paper was published in PNAS in August 2011. Title: Marine microgels as a source of cloud condensation nuclei in the high Arctic.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
How world-class product teams are winning in the AI era by CEO and Founder, P...
Monica Orellana PNAS Paper
1. Marine microgels as a source of cloud condensation
nuclei in the high Arctic
Mónica V. Orellanaa,1,2, Patricia A. Matraib,1,2, Caroline Leckc, Carlton D. Rauschenbergb, Allison M. Leea,
and Esther Cozc,d
a
Institute for Systems Biology, Seattle, WA 98109; bBigelow Laboratory for Ocean Sciences, West Boothbay Harbor, ME 04575; cDepartment of Meteorology,
Stockholm University, SE-106 91 Stockholm, Sweden; and dCIEMAT, Department of Environment, E-28040 Madrid, Spain
Edited* by David M. Karl, University of Hawaii, Honolulu, HI, and approved July 18, 2011 (received for review February 16, 2011)
Marine microgels play an important role in regulating ocean basin- characterized and quantified marine polymer gels in the sub-
scale biogeochemical dynamics. In this paper, we demonstrate that, surface waters (SSW) as well as at the air/water interface, where
in the high Arctic, marine gels with unique physicochemical char- they concentrated, and in cloud, fog, and airborne aerosol.
acteristics originate in the organic material produced by ice algae
and/or phytoplankton in the surface water. The polymers in this Results and Discussion
dissolved organic pool assembled faster and with higher microgel We monitored the kinetics of the assembly of free polymers in the
yields than at other latitudes. The reversible phase transitions DOM pool by measuring the amount of carbon that assembled
shown by these Arctic marine gels, as a function of pH, dimethyl- into polymer gels (see Methods) as a function of time (Fig. 1A).
sulfide, and dimethylsulfoniopropionate concentrations, stimulate Our results show that polymeric material from the surface micro
the gels to attain sizes below 1 μm in diameter. These marine gels layer (SML) and SSW assembled spontaneously into polymer gels
were identified with an antibody probe specific toward material that ranged from colloidal to micrometer sizes, similar to polymer
ENVIRONMENTAL
from the surface waters, sized, and quantified in airborne aerosol, gels from other water sources (8, 9). The microgel concentration
SCIENCES
fog, and cloud water, strongly suggesting that they dominate the and size reached equilibrium at ∼6–8 h (Fig. 1A), faster than
available cloud condensation nuclei number population in the previously reported for oceanic waters (8). Images of in situ
high Arctic (north of 80°N) during the summer season. Knowledge microgels stained with chlortetracycline, obtained with confocal
about emergent properties of marine gels provides important microscopy, show that microgels are stabilized by Ca2+ ionic
new insights into the processes controlling cloud formation and bonds (Fig. 1B). Control experiments show that spontaneous as-
radiative forcing, and links the biology at the ocean surface with sembly of microgels in the DOM is prevented when seawater
cloud properties and climate over the central Arctic Ocean and, Ca+2 and Mg+2 are chelated by the addition of 10 mM EDTA to
probably, all oceans. the seawater; these parallel experiments demonstrate that these
polymer gels are ionically bonded polymer networks (8) (Fig. 1A).
air–sea exchange | immunological probes | Melosira arctica The concentration of polymers in the DOM pool, the length of
the polymer chains, and their physical chemical characteristics
can affect the rate of spontaneous assembly of polymer gels (8, 9).
O ur limited knowledge about cloud radiative processes
remains a major weakness in our understanding of the cli-
mate system and consequently in developing accurate climate
In the Arctic Ocean, the dissolved organic carbon concentrations
are high and range between 100 and 250 μM C explaining, in part,
projections (1). This is especially true for low-level Arctic clouds, the fast rate of the assembly process. During the 21 drift days of
which play a key role in regulating surface energy fluxes, affecting our expedition north of 80 oN (Fig. S1), we observed an average
the freezing and melting of sea ice, when the climate is changing yield of 32% (±15%; SD) of the DOM, expressed as organic
faster in the Arctic than at any other place on earth. The radiative carbon, assembled as microgels in either the SML or the SSW.
or reflective (albedo) properties of clouds strongly depend on the This high percentage of assembled microgels is probably due to
number concentration of aerosol particles available for uptake or long-chain free polymers present in seawater (9) and corresponds
condensation of water vapor at a given water supersaturation. Such to an average of 106 to 107 nanometer- (>300 nm and <1 μm) and
particles are known as cloud condensation nuclei (CCN), and their micrometer (>1 μm)-sized polymer gels mL−1, and a total of 1019
activation and growth (2) depend on the equilibrium thermody- polymer gels mL−1 including the colloidal size gels (<300 nm).
namics by which water vapor condenses on CCN and forms a liq- We also found higher yields of assembled microgels in the SSW
uid cloud drop. In the high Arctic, the aerosol-cloud-radiation and SML than were reported for other ocean regions [∼10% (8,
relationship is more complex than elsewhere, and for most of the 10)] (Fig. 1C). The high abundance of polymer gels coincided
year, the low-level clouds constitute a warming factor for climate with a high abundance of the diatom Melosira arctica, which
rather than cooling (3). In summer, this is due to the semi- formed large patches at the edges of the leads and are associated
permanent ice cover, which raises the albedo of the surface, and to with high numbers of gel-forming strands several meters in length
(11). Phytoplankton and marine bacteria are known to be the
the clean Arctic air (4), which decreases the albedo of the low-level
clouds. Small changes in either factor are very important to the
heat transfer to the ice and the subsequent summertime ice-melt.
Author contributions: M.V.O., P.A.M., and C.L. designed research; M.V.O., P.A.M., C.L.,
The high Arctic CCN originate in the open leads in the pack ice C.D.R., A.M.L., and E.C. performed research; M.V.O. contributed new reagents/
and from sources along the marginal ice edge; they are formed analytic tools; M.V.O., P.A.M., and E.C. analyzed data; and M.V.O. and P.A.M. wrote
mostly by aggregates of organic material, presumably of marine the paper.
origin (5–7). The authors declare no conflict of interest.
Marine polymer microgels are 3D polymer hydrogel networks *This Direct Submission article had a prearranged editor.
that result from the spontaneous assembly/dispersion equilibrium Freely available online through the PNAS open access option.
of free biopolymers in the dissolved organic matter (DOM) pool. 1
M.V.O. and P.A.M. contributed equally to this work.
Microgels form hydrated Ca2+-bonded supramolecular networks 2
To whom correspondence may be addressed. E-mail: morellana@systemsbiology.org or
whose interaction with solvent (water) provides them with a gel- pmatrai@bigelow.org.
like texture (8–10). During the Arctic Summer Cloud Ocean This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.
Study cruise (ASCOS 08–2008, 87–88° N, 2–10° W) (Fig. S1), we 1073/pnas.1102457108/-/DCSupplemental.
www.pnas.org/cgi/doi/10.1073/pnas.1102457108 PNAS Early Edition | 1 of 6
2. A 50
SML
B
Control
40
30
Gels [ M C]
20
10
0
0 10 20 30 40 50 60
Time [h]
140 2.5E+06
C SSW
120 SML
SSW, SML gels [ M C]
2.0E+06
Cloud gels [# ml ]
-1
100 Clouds
80 1.5E+06
60 1.0E+06
40
5.0E+05
20
0 0.0E+00
225 230 235 240 245 250
Time [DoY]
Fig. 1. Polymer gel assembly as a function of time in high Arctic surface waters. (A) We monitored the assembly of polymer gels by measuring the percentage
of polymers assembled as microgels at 4 °C (triangles). Control experiments in which Ca2+ was chelated from seawater with 10 mM EDTA showed no as-
sembled gels, regardless of the time of observation (squares). Each point corresponds to the average of three replicates. We note that the assembly occurred
very quickly, with the concentration and size of assembled polymer gels reaching equilibrium in 6 h. An average yield of assembly equal to 32% of the
polymers in the DOM pool was measured for either SSW or SML water samples. (B) Microgels. Gels stained with chlortetracycline indicate the presence of
bound Ca2+; insert at higher magnification. (C) Temporal variability in microgel concentration. During the drift phase of ASCOS at 87°N, we measured
microgels in the SSW and SML in units of carbon, whereas we counted microgels in clouds with flow cytometry (as discrete particles) due to the large sample
volume required to accurately measure carbon concentration in the microgels. SML microgels were enriched up to a factor of 5 with respect to SSW
concentrations.
main sources of biopolymers and polymer gel networks in the pH is higher than previously observed (pH 4) for marine polymer
oceans (12). Phytoplankton alone release ∼10–50% of their pri- gels from other latitudes (8). Although the low transition pH
mary production into the dissolved organic carbon pool in Arctic measured by Chin et al. (8) is not yet a relevant value in today’s
waters (13) and contain such long-chain polymers as carbohydrates ocean [pH 8.05 (21)], the rationale for the experimental use of
(14) and proteins (15). We found these chemical compounds in H2SO4 in this study was based on the fact that H2SO4 is a product
the lead waters (Fig. S2). Equally important in determining an of the atmospheric oxidation of DMS in the marine boundary
enhancement of microgel assembly kinetics by DOM polymers in layer (4, 22) and has been shown to be relevant to the growth of
the high Arctic leads is the presence of hydrophobic moieties, new nanometer-size atmospheric particles (23) over the pack ice
which have been shown to significantly increase the rate of as- area. The condensation and volume collapse of these ionic poly-
sembly (16) and aggregation (17) and are known as important meric networks were also caused by additions of nano- to micro-
components in microgels (15). We identified hydrophobic moieties molar levels of DMS and its biogenic precursor dimethylsulfonio-
by staining the microgels with Red Nile (Fig. S3A), quantified propionate (DMSP) (Fig. 2B), that are in agreement with high
proteins (Fig. S2A) that were frequently enriched in the SML with extracellular and intracellular concentrations of these important
respect to subsurface seawater (Fig. S2B), and analyzed their climate chemical compounds produced by polar phytoplankton
amino acid composition (see Methods). We observed an enrich- and ice algae (24). These results are analogous to the finding that
ment of hydrophobic amino acids (leucine, isoleucine, phenylala- high concentrations of DMSP and DMS are stored in the acidic
nine, and cysteine) in the SML with respect to subsurface seawater secretory vesicles of the microalga Phaeocystis antarctica where
(Fig. S3B), where microgel assembly probably took place (Fig. 1A), DMSP is trapped within the condensed polyanionic gel matrix (25)
as well as at bubble interfaces (18), which were very abundant (19). until the secretory vesicles are triggered by environmental factors
All polymer gels have one characteristic feature: they undergo to release microgels that undergo volume phase transition and
reversible volume phase transition, changing from a swollen and expand at the higher pH of seawater (26). Exocytosis of polymer
hydrated phase to a condensed and collapsed phase and back, in gels accompanied by elevated DMS and DMSP concentrations
association with the internal dielectric properties of the gel suggests the transport of these chemical compounds by the gel
polymer matrix (20). Because of the relevance in high latitudes of matrix (25).
ubiquitous and important climate chemical compounds such as In addition to the occurrence of microgels in seawater, we
dimethyl sulfide (DMS) and its oxidation product sulfuric acid demonstrate here the presence of marine polymer microgels in
(H2SO4), we demonstrate that these chemicals induced reversible cloud, fog, and airborne aerosol particles sampled at 87°N (Fig.
volume phase transitions in the microgels (Fig. 2 A and B). A 3A and S4 A and B). Cloud microgels reacted positively with an
steep volume transition from hydrated phase to condensed phase antibody specific toward material from the surface waters, in-
takes place as the pH is decreased from pH 8 to 6. This transition dicating that the source of the gel particles detected in clouds was
2 of 6 | www.pnas.org/cgi/doi/10.1073/pnas.1102457108 Orellana et al.
3. A 25000
number
600
Microgels >1 m [# ml ]
-1
Microgel volume [ m ]
500
3
20000 volume
400
15000
300
10000
200
5000 100
0 0
0 2 4 6 8 10
pH
B 40
DMS 0.008uM
DMS 55.7uM
DMSP 0.1uM
Gel phase transition
DMSP 0.5uM
Vi / Vf [ m3/ m3]
30
DMSP 1uM
DMSP 27uM
20
10
0
DMS DMSP
Treatments
ENVIRONMENTAL
Fig. 2. Microgel volume phase transition. (A) pH. Marine polymer gels can undergo a fast reversible volume phase transition (<1 min) from a swollen or
SCIENCES
hydrated phase to a condensed and collapsed phase by changing the pH of the sea water with H2SO4. We then stained the polymer gels with chlortetra-
cycline, monitored the size of the polymer gels by confocal microscopy, and monitored the number of gels by flow cytometry. The swelling/condensation
transition is reversible and has a steep sigmoidal change in the volume of the gels. Each data point corresponds to the average and SD of three samples. (B)
DMS and DMSP. Marine polymer gels can undergo a fast, reversible change from a swelled/hydrated phase to a condensed phase as a function of DMS and
DMSP concentrations, expressed as the ratio between initial (Vi) and final (Vf) microgel volume before and after adding the inducing compound, respectively,
and measured with confocal microscopy.
the surface water and, most probably, the SML where microgels tend to present a fractal structure (Fig. 3C, 2) (28), with a diffuse
accumulated. Similar antibody results were found for the particles organic surface (Fig. 3C, 5); indeed, observations of the micro-
in the fog and aerosols (Fig. S4 A and B). This polymeric material molar-sized particles at higher magnification showed tangled
could have come from phytoplankton, such as M. arctica and their nanometer-sized gels that annealed to form the larger micromo-
exocytosed products, because this species cross-reacted with the lar-sized gels (Fig. 3C, 2 and 3).
antibody from the surface water DOM (microscopic observation/ Whereas organic particles have been shown to be present in
antibody cross reactivity, Table S1). Polymer microgels reached clouds (29), the unique physicochemical characteristics of marine
2.00 ± 0.96 mg (dry weight) L−1 of cloud water (these results do microgels in clouds, such as their ability to undergo volume phase
not include material smaller than 0.2 μm in diameter), as de- transition in response to environmental stimuli (pH, temperature,
termined by a specific ELISA (see Methods). The size distribution chemical compounds, and pollutants) and the cleavage of their
of all microgels in their native state, as well as those immunos- polymers by UV radiation (9), have not been previously shown.
tained with the antibody probe in the cloud, fog, and low altitude The emergent properties of airborne gels can affect the chemistry
airborne aerosol samples, follows an expected pattern with higher and physics of the Earth’s atmosphere by being a source of CCN
numbers in the very small sizes. More than 80% of the particles in the Arctic and, most likely, elsewhere (6), because source
were smaller than 100 nm in diameter, and nearly 100% were marine microgels are present in the seawater DOM of all oceans.
smaller than 200 nm (Fig. 3B, 1 and 2), corresponding to 2–8·1011 The very gel nature of these marine particles defines them as
nanometer-sized gels mL−1 and 2·109 μm-sized gels mL−1 of hydrated and hygroscopic, which, tied to the very low CCN
cloud water. The morphology and structure of the microgels, as numbers observed (30) and the very high relative humidity over
independently examined by field emission scanning electron mi- the remote pack ice area in summer, strongly suggests that the
croscopy (FESEM) of unstained samples and confocal micros- cloud microgels are CCN. Previous evidence (5, 31) suggests
copy of immunostained samples (see Methods), were very a contribution to the Aitken mode population (25–80 nm in di-
consistent, showing high numbers of nanometer-sized gels (Fig. ameter) of aerosol particles from the separation of components,
3C, 3 and 4). While the higher sensitivity and resolution of the or building blocks, of larger airborne colloidal gels. As previously
FESEM allowed the quantification of native gels as small as 2 nm demonstrated (9), UV radiation can easily break and cleave
in diameter, the resolution of the confocal microscope used to abundant colloidal-size gels in the ocean surface (>300 to <700
analyze the immunostained gels was slightly lower (20 nm) (Fig. nm) into smaller nanometer-sized polymeric chains (nanogels)
3B, 1 and 2). This analytical difference resulted in higher immuno- (Fig. S5). This mechanism is possibly active in evaporating cloud
stained particle counts in the larger size ranges (Fig. 3B, 2), but we or fog and aerosol gels as well, where gel fragmentation could
observed an identical modal appearance when we set the FESEM potentially produce millions of still smaller particles, ranging
resolution to match the confocal setting (Fig. 3B, 1). The similarity from ∼40 nm down to a few nanometers in diameter (27), thus
in size distribution of both immuno-stained and total particle influencing new particle formation, increasing the CCN number
populations suggests that the particles present experienced similar concentration (32) and affecting cloud optical properties. Our
atmospheric processing, not only in the cloud and fog but also in field in situ experiments also show that polymer microgels and
the aerosol (Fig. S4 C and D), with implications not only for cloud free polymers from the SML irradiated for 8 h at ambient fluxes
formation but also for providing the source of the newly formed of UV-B cleaved the polymers from micrometer sizes to sizes
particles (27). Both approaches showed that nanometer-sized gels below the limit of detection of our flow cytometer (300–500 nm).
Orellana et al. PNAS Early Edition | 3 of 6
4. A C
4
b
B1 B2
Particle size distribution
Particle diameter [Dp, nm]
Fig. 3. Microgels in clouds. (A) Immunostained gels. Nanometer (nanogels)- and micrometer (microgels)-sized polymer gels immunostained with a specific
antibody developed toward polymeric material collected in SML and SSW. (B) Gel size distribution from two independently analyzed subsamples. B1, Relative
frequency of particle number (Np) [dNp/log(dDp): delta of Np/log delta particle diameter (Dp)] in a specific size range for unstained nanogels observed
with FESEM (circles) and immunostained gels observed with confocal microscopy (squares), with instruments held at a similar, lower resolution. B2, The higher
resolution of the FESEM allows the measurement of nanogels smaller than 10 nm. (C) Structure of nano and microgels. (C1) Low water-soluble organic
particles in the SML present large quantities of colloidal-sized nanogels (<1 μm), which annealed into microgels bigger than 3 μm. (C2) Colloidal-sized
nanogels tend to present fractal structures in sizes generally <200 nm and always smaller than 1 μm in both SML and cloud samples. (C3 and C4) The gels in
the cloud samples present average sizes between 200 and 700 nm, with nanogels partitioned inside of both nonstained and immunostained particles. (C5) The
schematic illustration shows that colloidal-sized nanogels tend to present a fractal structure, with a diffuse organic surface.
In addition, the yields of microgel assembly declined significantly can assemble into microgels, if they are not already assembled,
from 26.7 ± 5% to 8.8 ± 0.4% (SD), as expected for shorter especially because of high Ca2+ levels favorable to ionic polymer
size polymers (9). Dispersion of polymer gels and fragmentation assembly (8). The bubble-size spectra observed in high Arctic
of biopolymers, as previously demonstrated (9), could be accel- leads were comparable to those observed elsewhere, although
erated in the clouds, where UV radiation fluxes are higher (33). with more abundant, smaller-sized bubbles (19), despite the lack
We speculate that cloud microgels could also undergo reversible of sea spray (absence of wave breaking) due to the presence of low
volume phase transitions from swollen/hydrated to condensed winds (U< 6 ms−1) and short open-water fetch caused by the pack
smaller sized microgel particles due to UV radiation (34), a change ice. On the other hand, recent direct eddy covariance measure-
in pH (in situ cloud water pH ≤ 5.6), high DMS concentrations ments of particle number fluxes from the same location (36)
(4), and/or temperature (20). Indeed, the size distribution of the suggest that horizontal transport from the open water near the
building blocks of airborne aggregates (5) reportedly shifted to marginal ice zone, new particle formation, and chemical trans-
smaller nanometer gel sizes (40-nm diameter mode; similar to formations may also affect the particle number concentration.
our observed size distribution, shown in Fig. 3) with respect to the Notwithstanding their physical sea-to-air transfer mechanism,
micron size distribution observed in water aggregates, probably marine biogenic microgels were specifically identified and quan-
due to a combination of all such environmental controls present tified in clouds, fogs, and airborne aerosol particles in the marine
in regions of the high Arctic where these putative microgels boundary layer over our study site north of 80 oN.
represented most of the sampled aerosol particles. Our results clearly demonstrate that marine hydrogels, due to
Bubble bursting and particle ejection processes are thought to their unique physicochemical properties, can affect the chemistry
be the likely source of the cloud and fog microgels herein de- and physics of the Earth’s atmosphere by serving as an important
scribed, most likely local, although an upwind ice edge location source of CCN in the pristine high Arctic summer and probably
from the ocean surface into the atmosphere is not precluded (Fig. elsewhere, thus affecting climate by increased warming and radi-
S1C) (6). Before bursting, bubbles rest on the SML, which is ative coupling. The microgel-climate feedback paradigm suggests
enriched in organic material in Arctic waters (35) and elsewhere; that biology plays an important role in determining the chemistry
thus, the bubble films are largely comprise of polymers (18) that and physics of marine aerosol particles, such that parameteriza-
4 of 6 | www.pnas.org/cgi/doi/10.1073/pnas.1102457108 Orellana et al.
5. tions of their source function should include processes pertaining The specificity of the antibody was analyzed by cross-reactivity against 40
to the source and concentration of marine organic matter and different taxa of phytoplankton species, phytoplankton collected from Puget
should be included in regional and global aerosol climate models. Sound, and M. arctica from ASCOS (Table S1) and detected by immunofluo-
rescence coupled with flow cytometry, which indicated a high specificity to-
Materials and Methods ward the arctic polymeric material. An indirect ELISA was developed for arctic
microgels (50) by using an antibody probe developed against polymeric
Sampling. We obtained samples during the drift phase (13 August to 1
material present in the SML and SSW and a secondary goat anti-rabbit biotin-
September 2008) of the international ASCOS (www.ascos.se) field campaign
conjugated antibody (Pierce 31807). The antibody was detected with a poly-
to the high Arctic Ocean (Fig. S1 A and B). We used 5-d, 3D air mass tra-
HRP streptavidin and a fluorogenic peroxidase substrate solution (Pierce
jectories, with an arrival height of 100 m, at the position of the icebreaker
15169), measured at 420 nm. The assay was optimized for antigen and anti-
(Fig. S1C). We calculated the 3D trajectories from the reanalysis data library
body concentrations and for incubation length by checkerboard titration to
by using the HY-brid Single-Particle Lagrangian Integrated Trajectory
give a maximal signal range. A calibration curve with three replicates with
(HYSPLIT4) model (37, 38). The data originated from the National Weather
dry, lyophilized microgel material was included in each plate.
Service’s National Centers for Environmental Prediction’s Global Data As-
similation System. The wind fields and air mass trajectories showed that the
sampled area, north of 80°N, during the drift was within air with a minimal Polymer Gel Assembly. We monitored the polymer gel assembly by measuring
influence by anthropogenic pollution. Direct contamination from the ship carbon bound into assembled microgels (45). Triplicate seawater samples were
was excluded by using a pollution controller (39). We performed all water gravity filtered immediately after sampling with Whatman GF/F glass fiber
sampling ∼1.5 km away from the ship. We obtained SML samples with filters and a 0.22-μm Millipore filter (prewashed with 0.1N HCL) onto black
battery-operated catamaran-type vessels fitted with a rotating drum cov- bottles and then allowed to assemble over time. We monitored polymer as-
ered with a thin sheet of sodium-in-liquid-ammonia-edged (hydrophilic) sembly for 5 d at 4 °C and measured fluorescently labeled microgels in 7-mL
Teflon film (35). The depth of the SML sampled ranged from 2 to 41 μm. We cuvettes in a Turner AU-10 fluorometer. In parallel control experiments, we
performed SSW sampling with acid-cleaned bottles rinsed in distilled deion- inhibited the assembly by chelating Ca+2, Mg+2, and other metals by adding 10
ized water (18 MΏ) at <30 cm below the SML. We collected cloud water by mM EDTA to the seawater; in addition, assembly was run in triplicate samples
deploying polypropylene filaments [acid-cleaned and rinsed with distilled containing 0.02% sodium azide to prevent all microbiological contamination.
deionized water (18 MΏ)] in the clouds for several (3–4) hours with a tethered We repeated these experiments on five occasions with similar results.
balloon (40). The cloud liquid water content peaked at ∼0.2 g m−3. We col-
ENVIRONMENTAL
lected fog and aerosol particles as described (41–43). We deployed a cascade Polymer Gel Reversible Volume Phase Transition. Swelling/condensation tran-
SCIENCES
impactor, which used two jet impaction stages with cut diameters at 6 and 40 sition was performed at 4 °C by monitoring changes in volume of the micro-
μm aerodynamic diameter to collect liquid fog water samples. The nominal gels in seawater at different pH (from 7.9 to 2) induced by increasing
volumetric flow rate was 500 m3 h−1 (44). concentrations of H2SO4. Changes in volume were recorded by flow cytom-
eter measurements of microgel forward scatter and/or by microphotographic
Microgel Measurements. Marine microgels are defined by a set of three measurements. In the case of the experiments counted with flow cytometry,
physical properties that allow their examination and categorization: all microgels may undergo volume phase transition to sizes below the limit of
marine microgels undergo phase transition; marine microgels stain with detection of the instrument, but as soon as the pH is increased, the microgels
chlortetracycline (CTC, 50 μM, pH 8.0), because their polymers are stabilized can be recounted. We also measured volume phase transition of microgels in
by Ca2+ ionic bonds; and microgels disperse following calcium chelation by sea water in the presence of DMS and DMSP (10−3 to 10−9 M solutions).
10 mM EDTA (pH 8) (8, 9, 15). Samples stained with chlortetracycline (λex =
374 nm, λem = 560 nm) were observed in the field with an Olympus mi- Chemical Characterization. We determined the concentrations of amino acids
croscope with epifluorescence and phase-contrast, as well as documented, (49, 51), carbohydrates (52, 53), dimethyl sulfide and DMSP (54), lipids (55),
quantified, and measured with a Diagnostic Instruments CoolSnapES2 4 Meg proteins (48, 56), and total organic carbon (57).
slider DDC digital camera and Nikon NIS Elements software. Gels were also
quantified fluorometrically (45) with pH measured spectrophotometrically ACKNOWLEDGMENTS. We thank A.J. Hind, Q. Gao, C. Birch, I. Brooks,
(46). Microgels, ≥300 nm in size, were counted with an InFlux (Cytopeia, Inc.) J. Knulst, T. Mauritsen, A. Sirevaag, and S. de la Rosa for invaluable help in
flow-sorter. Immunostained cloud microgels were only documented with a field sampling; J. Paatero for UV data; and A. Armstrong and D. Rodriguez
Delta Vision confocal microscope, whereas parallel samples of nonstained for technical support. ASCOS would not have been possible without the
organization and support of M. Tjernström. Sampling would not have been
cloud microgels and low water soluble particles were independently docu-
possible without the logistical support of and/or bear-guarding by the rest of
mented with a FESEM. We counted and sized all cloud, fog, and aerosol the scientific party, the Icebreaker Oden’s Captain Mattias Peterson and
particles with Aphelion software. Whenever volume was available, we crew, and the staff of the Swedish Polar Research Secretariat. We thank N.S.
subsampled aerosol, cloud, and fog collections for independent FESEM and Baliga and Institute for Systems Biology for providing a stimulating environ-
immunostaining-confocal analyses; this assumed each original sample to be ment and several anonymous reviewers for their constructive comments.
fully mixed. We also identified particles by morphology and chemistry (47). M.V.O, P.A.M., C.D.R., and A.M.L were supported by grants from the US
We analyzed proteins (size fraction ≥ 0.7 μm) (48) and amino acids (size National Science Foundation, Arctic Natural Sciences program ARC-
fractions 0.2–0.7 μm and ≤0.2 μm) (49). 0707555 (M.V.O.), and ARC- 0707513 (P.A.M.). C.L. and E.C. were supported
by the Swedish Natural Research Council. The framework of ASCOS was
supported by the Swedish Research Council, the Knut and Alice Wallenberg
Immunostaining. An antibody probe against concentrated microgels and other Foundation, Developing Arctic Modeling and Observing Capabilities for
dissolved organic material in the SML and SSW was prepared at the Institute Long-term Environmental Studies (European Union 6th Framework Pro-
for Systems Biology and developed in rabbits by ABMAX AntibodyChina.com. gram), and the Natural Environmental Research Council.
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