array(2 items)
   publications => '20138' (5 chars)
   libraryUrl => '' (0 chars)

array(1 item)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=20138, pid=124)
      originalId => protected20138 (integer)
      authors => protected'Günthardt, B. F.; Hollender, J.; Hungerbühler, K.; Sch
         eringer, M.; Bucheli, T. D.' (118 chars)
      title => protected'Comprehensive toxic plants-phytotoxins database and its application in asses
         sing aquatic micropollution potential' (113 chars)
      journal => protected'Journal of Agricultural and Food Chemistry' (42 chars)
      year => protected2018 (integer)
      volume => protected66 (integer)
      issue => protected'29' (2 chars)
      startpage => protected'7577' (4 chars)
      otherpage => protected'7588' (4 chars)
      categories => protected'natural toxins; poisonous plants; invasive species; aquatic pollution; risk 
         assessment' (86 chars)
      description => protected'The production of toxic plant secondary metabolites (phytotoxins) for defens
         e is a widespread phenomenon in the plant kingdom and is even present in agr
         icultural crops. These phytotoxins may have similar characteristics to anthr
         opogenic micropollutants in terms of persistence and toxicity. However, they
          are only rarely included in environmental risk assessments, partly because 
         a systematic overview of phytotoxins is missing. Here, we present a newly de
         veloped, freely available database, Toxic Plants-PhytoToxins (TPPT), contain
         ing 1586 phytotoxins of potential ecotoxicological relevance in Central Euro
         pe linked to 844 plant species. Our database summarizes phytotoxin patterns 
         in plant species and provides detailed biological and chemical information a
         s well as in silico estimated properties. Using the database, we evaluated p
         hytotoxins regarding occurrence, approximated from the frequencies of Swiss 
         plant species; environmental behavior based on aquatic persistence and mobil
         ity; and toxicity. The assessment showed that over 34% of all phytotoxins ar
         e potential aquatic micropollutants and should be included in environmental 
         investigations.' (1155 chars)
      serialnumber => protected'0021-8561' (9 chars)
      doi => protected'10.1021/acs.jafc.8b01639' (24 chars)
      uid => protected20138 (integer)
      _localizedUid => protected20138 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected20138 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '23249' (5 chars)
   libraryUrl => '' (0 chars)

array(1 item)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=23249, pid=124)
      originalId => protected23249 (integer)
      authors => protected'Günthardt, B. F.; Hollender, J.; Scheringer, M.; Hunger
         bühler, K.; Nanusha, M. Y.; Brack, W.; Bucheli, T.
          D.' (160 chars)
      title => protected'Aquatic occurrence of phytotoxins in small streams triggered by biogeography
         , vegetation growth stage, and precipitation' (120 chars)
      journal => protected'Science of the Total Environment' (32 chars)
      year => protected2021 (integer)
      volume => protected798 (integer)
      issue => protected'' (0 chars)
      startpage => protected'149128 (11 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'phytotoxins, poisonous plants; surface water contamination; high resolution 
         mass spectrometry screening; persistence, mobility, and toxicity characteriz
         ation' (157 chars)
      description => protected'Toxic plant secondary metabolites (PSMs), so-called phytotoxins, occur widel
         y in plant species. Many of these phytotoxins have similar mobility, persist
         ence, and toxicity properties in the environment as anthropogenic micropollu
         tants, which increasingly contaminate surface waters. Although recent case s
         tudies have shown the aquatic relevance of phytotoxins, the overall exposure
          remains unknown. Therefore, we performed a detailed occurrence analysis cov
         ering 134 phytotoxins from 27 PSM classes. Water samples from seven small Sw
         iss streams with catchment areas from 1.7 to 23 km<sup>2</sup> and varying l
         and uses were gathered over several months to investigate seasonal impacts. 
         They were complemented with samples from different biogeographical regions t
         o cover variations in vegetation. A broad SPE-LC-HRMS/MS method was applied 
         with limits of detection below 5 ng/L for over 80% of the 134 included phyto
         toxins. In total, we confirmed 39 phytotoxins belonging to 13 PSM classes, w
         hich corresponds to almost 30% of all included phytotoxins. Several alkaloid
         s were regularly detected in the low ng/L-range, with average detection freq
         uencies of 21%. This is consistent with the previously estimated persistence
          and mobility properties that indicated a high contamination potential. Coum
         arins were previously predicted to be unstable, however, detection frequenci
         es were around 89%, and maximal concentrations up to 90 ng/L were measured f
         or fraxetin produced by various trees. Overall, rainy weather conditions at 
         full vegetation led to the highest total phytotoxin concentrations, which mi
         ght potentially be most critical for aquatic organisms.' (1651 chars)
      serialnumber => protected'0048-9697' (9 chars)
      doi => protected'10.1016/j.scitotenv.2021.149128' (31 chars)
      uid => protected23249 (integer)
      _localizedUid => protected23249 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected23249 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '20612' (5 chars)
   libraryUrl => '' (0 chars)

array(1 item)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=20612, pid=124)
      originalId => protected20612 (integer)
      authors => protected'Günthardt, B. F.; Schönsee, C. D.; Hollender, J.;
          Hungerbühler, K.; Scheringer, M.; Bucheli, T. D.' (146 chars)
      title => protected'"Is there anybody else out there?" - First insights from a suspect screening
          for phytotoxins in surface water' (109 chars)
      journal => protected'Chimia' (6 chars)
      year => protected2020 (integer)
      volume => protected74 (integer)
      issue => protected'3' (1 chars)
      startpage => protected'129' (3 chars)
      otherpage => protected'135' (3 chars)
      categories => protected'environmental analytics; isoflavones; natural toxins; pyrrolizidine alkaloid
         s; suspect screening' (96 chars)
      description => protected'To protect themselves, plants can produce toxic secondary metabolites (phyto
         toxins) that appear with widely varying structures and negative effects. The
         se phytotoxins often show similar properties as known aquatic micropollutant
         s in terms of mobility, persistence, toxicity, and possibly also ecotoxicity
         . However, their occurrence in surface waters remains largely unknown, which
          is also due to unknown ability of available screening approaches to detect 
         them. Therefore, we performed a target and suspect screening based on a pers
         istence-mobility prioritization for phytotoxins in small Swiss creeks using 
         high resolution mass spectrometry. In total, three of 26 targets were detect
         ed, three of 78 suspects tentatively identified, and six suspects fully conf
         irmed by reference standards. To the best of our knowledge, it is the first 
         time that three different plant secondary metabolite classes are detected in
          the same surface water sample. Estrogenic isoflavones were detected at 73% 
         of the sites with formononetin as main toxin, which is in agreement with pre
         vious studies. Furthermore, pyrrolizidine alkaloids and the indole alkaloid 
         gramine were detected. Especially pyrrolizidine alkaloids might be critical 
         due to their production by various plants including the invasive<em> Senecio
          inaequidens</em>, and their known importance in food and feed safety. Based
          on these first screening results, different phytotoxin classes should be as
         sessed for their ecotoxicological effects and considered in future water mon
         itoring.' (1528 chars)
      serialnumber => protected'0009-4293' (9 chars)
      doi => protected'10.2533/chimia.2020.129' (23 chars)
      uid => protected20612 (integer)
      _localizedUid => protected20612 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected20612 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '22007' (5 chars)
   libraryUrl => '' (0 chars)

array(1 item)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=22007, pid=124)
      originalId => protected22007 (integer)
      authors => protected'Günthardt, B. F.; Wettstein, F. E.; Hollender, J.;
          Singer, H.; Harri, J.; Scheringer, M.; Hungerbühler, K
         .; Bucheli, T. D.' (179 chars)
      title => protected'Retrospective HRMS screening and dedicated target analysis reveal a wide exp
         osure to pyrrolizidine alkaloids in small streams' (125 chars)
      journal => protected'Environmental Science and Technology' (36 chars)
      year => protected2021 (integer)
      volume => protected55 (integer)
      issue => protected'' (0 chars)
      startpage => protected'1036' (4 chars)
      otherpage => protected'1044' (4 chars)
      categories => protected'' (0 chars)
      description => protected'Pyrrolizidine alkaloids (PAs) are found to be toxic pollutants emitted into 
         the environment by numerous plant species, resulting in contamination. In th
         is article, we investigate the occurrence of PAs in the aquatic environment 
         of small Swiss streams combining two different approaches. Pyrrolizidine alk
         aloids (PAs) are toxic secondary metabolites produced by numerous plant spec
         ies. Although they were classified as persistent and mobile and found to be 
         emitted into the environment, their occurrence in surface waters is largely 
         unknown. Therefore, we performed a retrospective data analysis of two extens
         ive HRMS campaigns each covering five small streams in Switzerland over the 
         growing season. All sites were contaminated with up to 12 individual PAs and
          temporal detection frequencies between 36 and 87%. Individual PAs were in t
         he low ng/L range, but rain-induced maximal total PA concentrations reached 
         almost 100 ng/L in late spring and summer. Through PA patterns in water and 
         plants, several species were tentatively identified as the source of contami
         nation, with <em>Senecio spp.</em> and <em>Echium vulgare</em> being the mos
         t important. Additionally, two streams were monitored, and PAs were quantifi
         ed with a newly developed, faster, and more sensitive LC−MS/MS method to d
         istinguish different plant-based and indirect human PA sources. A distinctly
          different PA fingerprint in aqueous plant extracts pointed to invasive <em>
         Senecio</em> <em>inaequidens</em> as the main source of the surface water co
         ntamination at these sites. Results indicate that PA loads may increase if i
         nvasive species are sufficiently abundant.' (1638 chars)
      serialnumber => protected'0013-936X' (9 chars)
      doi => protected'10.1021/acs.est.0c06411' (23 chars)
      uid => protected22007 (integer)
      _localizedUid => protected22007 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected22007 (integer)modified
      pid => protected124 (integer)

array(2 items)
   publications => '20182' (5 chars)
   libraryUrl => '' (0 chars)

array(1 item)
   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=20182, pid=124)
      originalId => protected20182 (integer)
      authors => protected'Moy de Vitry, M.' (21 chars)
      title => protected'Public surveillance and the future of urban pluvial flood modelling' (67 chars)
      journal => protected'' (0 chars)
      year => protected2019 (integer)
      volume => protected0 (integer)
      issue => protected'' (0 chars)
      startpage => protected'143 p' (10 chars)
      otherpage => protected'' (0 chars)
      categories => protected'' (0 chars)
      description => protected'<em>Motivation and objective</em><br /> Urban pluvial flooding is an issue o
         f increasingly critical importance due to climate change and urbanization. H
         owever, the numerical models used for flood forecasting and risk mitigation 
         suffer from a pronounced lack of monitoring data, which affects model accura
         cy. Monitoring data are necessary so the models, which contain undefined par
         ameters, can be calibrated and validated against real flood events. In parti
         cular, it is important that the models are able to reproduce flood behavior 
         in and around buildings, where the most damage is caused. However, conventio
         nal flow and water level sensors reach their limits in public spaces like st
         reets due to irregular topography, moving obstacles, and the risk of vandali
         sm. It has been suggested that surveillance cameras and social media could p
         rovide the necessary surface flooding data at a fraction of the cost of conv
         entional sensors. The objective of this thesis is to explore how trend-like 
         data can be extracted from surveillance footage and assimilated to boost the
          reliability of urban pluvial flood models. [...]<br /><br /><em>Motivation 
         und Zielsetzung</em><br /> Urbane regenbedingte Überschwemmungen sind aufgr
         und des Klimawandels und der Urbanisierung von immer größerer Bedeutung, a
         ber den numerischen Modellen zur Hochwasservorhersage und Risikominderung ma
         ngelt es an Überwachungsdaten, was die Modellgenauigkeit einschränkt. Übe
         rwachungsdaten sind notwendig, damit die Modelle, welche unsichere Parameter
          enthalten, gegen echte Hochwasserereignisse kalibriert und validiert werden
          können. Insbesondere ist es wichtig, dass die Modelle das Überschwemmungs
         verhalten in und um Gebäude herum nachbilden können, wo die meisten Schäd
         
         
         pographie, beweglicher Hindernisse und der Gefahr von Vandalismus an ihre Gr
         enzen. Deswegen gibt es ...' (2407 chars)
      serialnumber => protected'' (0 chars)
      doi => protected'10.3929/ethz-b-000397587' (24 chars)
      uid => protected20182 (integer)
      _localizedUid => protected20182 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected20182 (integer)modified
      pid => protected124 (integer)