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Reineccius, Janika; Witt, Kendra; Jeschek, Jenny; Hand, Ines; Schulz-Bull, Detlef E; Frazao, Helena; Dierken, Madleen; Ivar do Sul, Juliana; Waniek, Joanna J (2026): Microplastic abundance in surface water samples during the cruise SO296-1 over the shelf of eastern Pacific [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.990052

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Published: 2026-02-03DOI registered: 2026-03-04

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Abstract:
During the cruise SO296-1 on board of the German RV SONNE, we collected samples from the ship pumping system, connected to a filtration unit for microplastic analyses along the shelf of the eastern Pacific between Port Hueneme (USA) and Talcahuano (Chile). On the 0.7 µm GF filters between 300 and 560 L of surface water was filtered. The microplastic detection was carried out in the IOW laboratory using binocular microscope and the FTIR (LUMOS II, Bruker Optik GmbH, Germany). This data is reported together with surface temperature and salinity based on the continuous registration by thermosalinograph (https://doi.org/10.1594/PANGAEA.968975). Additional details about the cruise can be found in the cruise report (https://doi.org/10.48433/cr_so296_1), additional surface environmental data can be found at https://doi.org/10.1594/PANGAEA.988025.
Keyword(s):
Abundance; East Pacific; Microplastic; Polymertype; surface water
Related to:
Schlundt, Michael; Schulz-Bull, Detlef E (2024): Continuous thermosalinograph oceanography along RV SONNE cruise track SO296/1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.968975
Waniek, Joanna J; Schulz-Bull, Detlef E; Frazão, Helena C; Beltran, Oscar; Dierken, Madleen; Estelmann, Arne; Goldschmidt, Irina; Hand, Ines; Jeschek, Jenny; Klostermann, Birgit; Kreuzer, Lars; Reineccius, Janika; Sadkowiak, Birgit: Chemical water properties measured in surface water samples during R/V SONNE cruise SO296/1 over the shelf of eastern Pacific [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.988025
References:
Ikenoue, Takahito; Nakajima, Ryota; Osafune, Satoshi; Siswanto, Eko; Honda, Makio C (2024): Vertical Flux of Microplastics in the Deep Subtropical Pacific Ocean: Moored Sediment-Trap Observations within the Kuroshio Extension Recirculation Gyre. Environmental Science & Technology, 58(36), 16121-16130, https://doi.org/10.1021/acs.est.4c02212
Primpke, Sebastian; A Dias, P; Gerdts, Gunnar (2019): Automated identification and quantification of microfibres and microplastics. Analytical Methods, 11(16), 2138-2147, https://doi.org/10.1039/C9AY00126C
Schulz-Bull, Detlef E; Beltran, Oscar; Dierken, Madleen; Estelmann, Arne; Frazão, Helena C; Goldschmidt, Irina; Hand, Ines; Jeschek, Jenny; Klostermann, Birgit; Kreuzer, Lars; Reineccius, Janika; Sadkowiak, Birgit (2023): Anthropogenic substances in surface waters over the shelf of eastern Pacific, Cruise No. SO296/1, 26.12.2022 - 18.01.2023, Port Hueneme (USA) - Talcahuano (Chile). SONNE-Berichte, Begutachtungspanel Forschungsschiffe, SO296/1, 26 pp, https://doi.org/10.48433/cr_so296_1
Funding:
Bundesministerium für Bildung und Forschung, Bonn (BMBF), grant/award no. 03G0296A: SO296 - MAPUCHE; Auswirkungen der pelagischen Anoxie im Auftriebsgebiet vor Concepción und in einem unberührten anoxischen Fjord sowie die postglaziale Entwicklung der patagonischen Fjordregion in Chile
Coverage:
Median Latitude: 0.213600 * Median Longitude: -92.360875 * South-bound Latitude: -35.300000 * West-bound Longitude: -117.877000 * North-bound Latitude: 30.889000 * East-bound Longitude: -73.854000
Date/Time Start: 2022-12-28T06:51:00 * Date/Time End: 2023-01-17T19:28:00
Minimum DEPTH, water: 4.5 m * Maximum DEPTH, water: 4.5 m
Event(s):
SO296/1_MP_1 (MP_1) * Latitude Start: 30.889000 * Longitude Start: -117.877000 * Latitude End: 29.739000 * Longitude End: -117.082000 * Date/Time Start: 2022-12-28T06:51:00 * Date/Time End: 2022-12-28T14:52:00 * Campaign: SO296/1 (MAPUCHE) * Basis: Sonne_2 * Method/Device: Water pump (PUMP)
SO296/1_MP_5 (MP_5) * Latitude Start: 27.198000 * Longitude Start: -115.399000 * Latitude End: 26.045000 * Longitude End: -114.650000 * Date/Time Start: 2022-12-29T08:30:00 * Date/Time End: 2022-12-29T16:30:00 * Campaign: SO296/1 (MAPUCHE) * Basis: Sonne_2 * Method/Device: Water pump (PUMP)
SO296/1_MP_8 (MP_8) * Latitude Start: 23.629000 * Longitude Start: -113.179000 * Latitude End: 22.463000 * Longitude End: -112.484000 * Date/Time Start: 2022-12-30T08:42:00 * Date/Time End: 2022-12-30T16:42:00 * Campaign: SO296/1 (MAPUCHE) * Basis: Sonne_2 * Method/Device: Water pump (PUMP)
Comment:
Microplastic sampling, Detection, Polymer Identification: A total of 50 surface water samples were collected within the Pacific North-South transect of which 20 were analyzed for microplastics. The samples were collected via the ship's seawater intake pump, which was connected to an internal filtration system (0.7 μm glass fiber filter by Satorius, ∅ = 14.2 cm). A flow-meter monitored the volume of water filtered, in general 300 – 560 L were filtered. Following the filtration, each filter was immediately placed into an aluminum container with an aluminum-coated cardboard lid to prevent airborne contamination and dried in an oven at 50 ◦C for 24 h.
For further analyses, two smaller sections (5 x 2.5 cm) were cut out of the obtained glass fiber filters loaded with the sample using a scalpel and a pre-rinsed cover glass. One of the sample sections were direly transferred to a glass slide and fixed with paper masking tape for microscopic identification of microfibers which were counted and photographed under a Binokular microscope equipped with a camera, while measuring the size with the open source program ImageJ 1.53o.
The second sample section was transferred into a pre-rinsed glass beaker for further separation steps and microplastic analyses. To remove natural organic materials hydrogen peroxide was added into the beaker, covered with aluminum foil and incubated in the oven at 50°C for 24 h. During the last two hours, the samples were stirred using a magnetic stirrer, to homogenize the sample and the filter fibers. Subsequently, the same amount of pre-filtered acetic acid was added and left to react for 2 h at room temperature to remove calcareous components. After the reaction time, the samples were filtered using a stainless steel filter and rinsed with pre-filtered ultrapure water thoroughly. The obtained filter residues were then rinsed back into the glass beaker using the dense solution sodium polytungstate and transferred into a separation funnel to allow settling for 24 h after shaking the sample suspension thoroughly. At the following day, the lower sample part was discharged and the glass fiber free supernatant was filtered onto an Anodisc 25 filter. To ensure a higher recovery, the lower sample part containing heavier components was filled into the separation funnel to separate the supernatant for a second time. The obtained Anodisc filter was transferred into a glass Petri dish to store until further analyses.
Microplastic identification was implemented by using a fully automated Fourier transform infrared spectroscope (LUMOS II, Bruker Optik GmbH, Germany), equipped with an 32x32 pixel Focal Plane Array (FPA) imaging detector cooled with liquid nitrogen and operated by using the Opus software (version 8.8). To obtain the most reliable results, five section covering 62.5% of each sample filter were selected and scanned in transmission mode at a spectral resolution of 4 cm−1 with 4 scan repetitions in a range of 3600 - 1250 cm−1. The detection limit of 1 pixel corresponds to a particle size of about 5 μm, but the lower microplastic size limit was set to 10 μm (minimum of 2 pixels) for reliability reasons. Because this method is strongly dependent on a plane filter area, 3 dimensional twisted microfibers are difficult to detect with the FPA-FTIR (Primpke et al., 2019, doi:10.1039/C9AY00126C). In addition to the spectroscopic measurement, microfibers were counted separately. The measured areas were further processed using the Purency software (version 4.17), which returns the microplastic numbers, polymer types, sizes, the specific correlations with internal reference spectra (similarity), as well as the reliability of the integrated machine learning algorithm (relevance). Only particles larger than 1 pixel (> 10 μm) and with similarity and relevance values ≥ 0.6 were accepted. Particles resulting in at least one of both values ≥ 0.6 were manually evaluated for their spectral fit.
Temperature SBE 21 SEACAT from Thermosalinograph, range -5 to +35°C for 1st and 2nd sensor, accuracy 0.01 1st, and 0.001 2nd sensor, resolution 0.001 and 0.0003, respectively
Conductivity for salinity calculation SBE 21 SEACAT from Thermosalinograph, range 0 to 7, accuracy0.001, resolution 0.0001
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventWaniek, Joanna J
2Optional event labelEvent 2Waniek, Joanna J
3Latitude of eventLatitudeWaniek, Joanna J
4Longitude of eventLongitudeWaniek, Joanna J
5Date/Time of eventDate/TimeWaniek, Joanna J
6Latitude of event 2Latitude 2Waniek, Joanna J
7Longitude of event 2Longitude 2Waniek, Joanna J
8Date/Time of event 2Date/Time 2Waniek, Joanna J
9DurationDurationWaniek, Joanna J
10VolumeVollWaniek, Joanna J
11DEPTH, waterDepth watermWaniek, Joanna JGeocode
12Temperature, waterTemp°CWaniek, Joanna JThermosalinograph (TSG)Start
13SalinitySalWaniek, Joanna JThermosalinograph (TSG)Start
14Wind speedffBftWaniek, Joanna JShip Weather Station (SWEAS)Start
15Temperature, waterTemp°CWaniek, Joanna JThermosalinograph (TSG)End
16SalinitySalWaniek, Joanna JThermosalinograph (TSG)End
17Wind speedffBftWaniek, Joanna JShip Weather Station (SWEAS)End
18Microplastic abundanceMicroplastic#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
19Microplastic abundanceMicroplastic#/m3Waniek, Joanna JCounted using an light microscope, Zeiss, Axio Imager.A2
20Mass per volumeMass vµg/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
21Mass per volumeMass vµg/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
22Particle, diameterPart diamµmWaniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
23Particle, diameter, standard deviationPart diam std dev±Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
24Particle, diameterPart diamµmWaniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
25Microfiber, lengthMicrofiber LµmWaniek, Joanna JMeasured using software ImageJAverage
26Microfiber, length, standard deviationMicrofiber L std dev±Waniek, Joanna JMeasured using software ImageJ
27Microfiber, lengthMicrofiber LµmWaniek, Joanna JMeasured using software ImageJMedian
28PolypropylenePP#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
29PolystyrenePS#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
30Acrylonitrile butadiene styrene copolymerABS#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
31PolyethylenePE#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
32Polyethylene terephthalatePET#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
33PolyamidePA#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
34PolycarbonatePC#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
35PolymethylmethacrylatPMMA#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
36Polybutylene terephthalatePBT#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
37PolyoxymethylenePOM#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
38Polyvinyl chloridePVC#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
39Ethylene-vinyl acetateEVA#/m3Waniek, Joanna JFourier-transform infrared (FTIR) spectrometer, Bruker Optik GmbH, LUMOS II
40Polypropylene, clusterC-PPng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
41Polystyrene, clusterC-PSng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
42Acrylonitrile butadiene styrene copolymer, clusterC-ABSng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
43Polyethylene, clusterC-PEng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
44Polyethylene terephthalate, clusterC-PETng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
45Polyamide, clusterC-PAng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
46Polycarbonate, clusterC-PCng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
47Polymethylmethacrylat, clusterC-PMMAng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
48Polybutylene terephthalate, clusterC-PBTng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
49Polyoxymethylene, clusterC-POMng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
50Polyvinyl chloride, clusterC-PVCng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
51Ethylene-vinyl acetate, clusterC-EVAng/m3Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
52Polypropylene, cluster, standard deviationC-PP std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
53Polystyrene, cluster, standard deviationC-PS std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
54Acrylonitrile butadiene styrene copolymer, cluster, standard deviationC-ABS std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
55Polyethylene, cluster, standard deviationC-PE std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
56Polyethylene terephthalate, cluster, standard deviationC-PET std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
57Polyamide, cluster, standard deviationC-PA std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
58Polycarbonate, cluster, standard deviationC-PC std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
59Polymethylmethacrylat, standard deviationC-PMMA std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
60Polybutylene terephthalate, cluster, standard deviationC-PBT std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
61Polyoxymethylene, cluster, standard deviationC-POM std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
62Polyvinyl chloride, cluster, standard deviationC-PVC std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
63Ethylene-vinyl acetate, cluster, standard deviationC-EVA std dev±Waniek, Joanna JCalculated, according to Ikenoue et al. (2024)
64Fiber, transparentF transparent%Waniek, Joanna JImageJ software
65Fiber, blackF black%Waniek, Joanna JImageJ software
66Fiber, blueF blue%Waniek, Joanna JImageJ software
67Fiber, orangeF orange%Waniek, Joanna JImageJ software
68Fiber, purpleF purple%Waniek, Joanna JImageJ software
69Fiber, redF red%Waniek, Joanna JImageJ software
70Fiber, yellowF yellow%Waniek, Joanna JImageJ software
71Fiber, brownF brown%Waniek, Joanna JImageJ software
72Fiber, whiteF white%Waniek, Joanna JImageJ software
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1254 data points

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