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Nanoplastics drive toxicity under co-exposure with perfluorooctanesulfonic acid in human intestinal cells

Environmental Chemistry Letters 2025年 1-9页

作者： Alijagic, Andi Särndahl, Eva Kotlyar, Oleksandr Karlsson, Patrik Duberg, Daniel Scherbak, Nikolai Pinsino, Annalisa Engwall, Magnus Hyötyläinen, Tuulia Man-Technology-Environment Research Center Örebro University Örebro701 82 Sweden Inflammatory Response and Infection Susceptibility Centre Örebro University Örebro701 82 Sweden School of Medical Sciences Faculty of Medicine and Health Örebro University ÖrebroSE-701 82 Sweden Centre for Applied Autonomous Sensor Systems Robot Navigation & Perception Lab Örebro University Örebro701 82 Sweden Department of Mechanical Engineering Örebro University Örebro701 82 Sweden Institute of Translational Pharmacology National Research Council Via Ugo La Malfa 153 Palermo90146 Italy

Per- and polyfluoroalkyl substances and nanoplastics frequently co-occur in environmental matrices, yet the effects of co-exposure on cellular responses upon ingestion are poorly understood. Here, we exposed human intestinal Caco-2 cells to perfluorooctanesulfonic acid, nanoplastics, and their combination. Cell painting-based phenomics was used to map phenotypic alterations across subcellular structures, and untargeted metabolomics using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry was employed to assess metabolic changes. Results show that perfluorooctanesulfonic acid predominantly affected the actin cytoskeleton, Golgi apparatus, and plasma membrane, while nanoplastics primarily targeted mitochondria. Combined exposure disrupted the endoplasmic reticulum, RNA, and mitochondria. Perfluorooctanesulfonic acid reduced levels of carnitines, free fatty acids, nucleotides, and sugars, whereas nanoplastics inhibited ceramides, triglycerides, sphingomyelins, and additional free fatty acids. Combined exposure produced a metabolic profile resembling that of nanoplastics, with specific differences attributed to perfluorooctanesulfonic acid. Overall, nanoplastics appear as the main drivers of the co-exposure effects. © The Author(s) 2025.

关键词： Nucleotides

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RTREFEX: Reweighting norms for detecting changes in the response of metal oxide gas sensors

RTREFEX: Reweighting norms for detecting changes in the resp...

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作者： Pashami, Sepideh Lilienthal, Achim J. Schaffernicht, Erik Trincavelli, Marco Centre for Applied Autonomous Sensor Systems Orebro University Orebro Sweden

The detection of changes in the response of metal oxide (MOX) gas sensors deployed in an open sampling system is a hard problem. It is relevant for applications such as gas leak detection in mines or large-scale pollution monitoring where it is impractical to continuously store or transfer sensor readings and reliable calibration is hard to achieve. Under these circumstances, it is desirable to detect points in the signal where a change indicates a significant event, e.g., the presence of gas or a sudden change of concentration. The key idea behind the proposed change detection approach is that a change in the emission modality of a gas source appears locally as an exponential function in the response of MOX sensors due to their long response and recovery times. The algorithm proposed in this paper, rTREFEX, is an extension of the previously proposed TREFEX algorithm. rTREFEX interprets the sensor response by fitting piecewise exponential functions with different time constants for the response and recovery phase. The number of exponentials, which has to be kept as low as possible, is determined automatically using an iterative approach that solves a sequence of convex optimization problems based on l1-norm. The algorithm is evaluated with an experimental setup where a gas source changes in intensity, compound, and mixture ratio, and the gas source is delivered to the sensors exploiting natural advection and turbulence mechanisms. rTREFEX is compared against the previously proposed TREFEX, which already proved superior to other algorithms. Copyright © 2014 American Scientific Publishers.

关键词： Exponential functions

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Bayesian spatial event distribution grid maps for modeling the spatial distribution of gas detection events

Bayesian spatial event distribution grid maps for modeling t...

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作者： Schaffernicht, Erik Trincavelli, Marco Lilienthal, Achim J. Centre for Applied Autonomous Sensor Systems Orebro University Orebro Sweden

In this paper we introduce a novel gas distribution mapping algorithm, Bayesian Spatial Event Distribution (BASED), that, instead of modeling the spatial distribution of a quasi-continuous gas concentration, models the spatial distribution of gas events, for example detection and non-detection of a target gas. The proposed algorithm is based on the Bayesian Inference framework and models the likelihood of events at a certain location with a Bernoulli distribution. In order to avoid overfitting, a Bayesian approach is used with a beta distribution prior for the parameter μ that governs the Bernoulli distribution. In this way, the posterior distribution maintains the same form of the prior, i.e., will be a beta distribution as well, enabling a simple approach for sequential learning. To learn a map composed of beta distributions, we discretize the inspection area into a grid and extrapolate from local measurements using Gaussian kernels. We demonstrate the proposed algorithm for MOX sensors and a photo ionization detector mounted on a mobile robot and show how qualitatively similar maps are obtained from very different gas sensors. Copyright © 2014 American Scientific Publishers.

关键词： Spatial distribution

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The semantics of context: The role of interpretation and belief in visual localization for robots 1

The semantics of context: The role of interpretation and bel...

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Joint 1st International Workshop on the Semantic Descriptor, Semantic Modeling and Mapping for Humanlike Perception and Navigation of Mobile Robots toward Large Scale Long-Term Autonomy and the 3rd International Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics, SDMM 2019 and AnSWeR 2019

作者： Lowry, Stephanie Centre for Applied Autonomous Sensor Systems Örebro University Örebro70281 Sweden

While visual localization has improved in performance dramatically in recent years due to the development of ever-improving robust representations of locations, this paper considers a different aspect of the problem – the belief generation process. Belief generation is the conversion of a measure of similarity between two location representations to a measure of sameness – that is, are these two representations captured at the same location – which can be affected by the level of perceptual aliasing within the environment as well as the level of perceptual change. While probabilistic formulations of visual localization address these issues, environmental context can critically affect the performance of these belief generation methods. Copyright © 2019 by the paper’s authors.

关键词： Location

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MSI-RPi: Affordable, Portable, and Modular Multispectral Imaging Prototype Suited to Operate in UV, Visible and Mid-Infrared Regions

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Journal of Mobile Multimedia 2022年第3期18卷 723-742页

作者： Arunachalam, Ajay Andreasson, Henrik MRO Lab. Centre for Applied Autonomous Sensor Systems (AASS) Örebro University Örebro Sweden

Digital plant inventory provides critical growth insights, given the associated data quality is good. Stable & high-quality image acquisition is critical for further examination. In this work, we showcase an affordable, portable, and modular spectral camera prototype, designed with open hardware’s and open-source software’s. The image sensors used were color, and infrared Pi micro-camera. The designed prototype presents the advantage as being low-cost and modular with respect to other general commercial market available spectral devices. The micro-size connected sensors make it a compact instrument that can be used for any general spectral acquisition purposes, along with the provision of custom selection of the bands, making the presented prototype design a Plug-nd-Play (PnP) setup that can be used in different wide application areas. The images acquired from our custom-built prototype were back-tested by performing image analysis and qualitative assessments. The image acquisition software, and processing algorithm has been programmed, which is bundled with our developed system. Further, an end-to-end automation script is integrated for the users to readily leverage the services on-demand. The design files, schematics, and all the related materials of the spectral block design is open-sourced with open-hardware license & is made available at https://***/ajayarunachalam/Multi-Spectral-Imaging-RaspberryPi-Design. The automated data acquisition scripts & the spectral image analysis done is made available at https://***/ajayarunachalam/SI-RPi. © 2022 River Publishers.

关键词： Image analysis Low-cost plant phenotype Open-hardware Raspberry pi Spectral imaging technology

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Automatic building detection from aerial images for mobile robot mapping

Automatic building detection from aerial images for mobile r...

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2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005

作者： Persson, Martin Sandvall, Mats Duckett, Tom Centre for Applied Autonomous Sensor Systems Örebro University SE-701 82 Örebro Sweden

To improve mobile robot outdoor mapping, information about the shape and location of buildings is of interest. This paper describes a system for automatic detection of buildings in aerial images taken from a nadir view. The system builds two types of independent hypotheses based on the image contents. A segmentation process implemented as an ensemble of SOMs (Self Organizing Maps) is trained and used to create a segmented image showing different types of roofs, vegetation and sea. A second type of hypotheses is based on an edge image produced from the aerial photo. A line extraction process uses the edge image as input and extracts lines from it. From these edges, corners and rectangles that represent buildings are constructed. A classification process uses the information from both hypotheses to determine whether the rectangles are buildings, unsure buildings or unknown objects. © 2005 IEEE.

关键词： Object recognition

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Scene learning, recognition and similarity detection in a fuzzy ontology via human examples 4

Scene learning, recognition and similarity detection in a fu...

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4th Italian Workshop on Artificial Intelligence and Robotics, AIRO 2017

作者： Buoncompagni, Luca Mastrogiovanni, Fulvio Saffiotti, Alessandro Department of Informatics Bioengineering Robotics and Systems Engineering Italy Centre for Applied Autonomous Sensor Systems Orebro University Sweden

This paper introduces a Fuzzy Logic framework for scene learning, recognition and similarity detection, where scenes are taught via human examples. The framework allows a robot to: (i) deal with the intrinsic vagueness associated with determining spatial relations among objects;(ii) infer similarities and dissimilarities in a set of scenes, and represent them in a hierarchical structure represented in a Fuzzy ontology. In this paper, we briefly formalize our approach and we provide a few use cases by way of illustration. Nevertheless, we discuss how the framework can be used in real-world scenarios. © 2018 CEUR-WS. All rights reserved.

关键词： Fuzzy logic

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Topological localization for mobile robots using omni-directional vision and local features

Topological localization for mobile robots using omni-direct...

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IFAC/EURON Symposium on Intelligent autonomous Vehicles

作者： Andreasson, Henrik Duckett, Tom Centre for Applied Autonomous Sensor Systems Dept. of Technology Örebro University ÖrebroSE-70182 Sweden

This paper addresses the problem of global localization ("where am I"?) by a mobile robot using an omni-directional vision sensor. The approach is mainly concerned with the problem of global localization in a topological map (consisting of a set of panoramic views), though it also gives an approximate estimate of the robot pose relative to the best matching view, so it could also be used as the basis for a geometric localization scheme. Four different methods for selecting features from the panoramic images were considered. Experiments were conducted in a large, populated indoor environment on different days under different lighting conditions. A separate, laser-based SLAM algorithm was used to generate the ground truth information for performance evaluation. The results show that one method based on local features ("modified SIFT" features) obtained a significantly higher level of performance and robustness to environmental variations compared to the other methods. © 2004 IFAC

关键词： Mobile robots

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Person identification by mobile robots in indoor environments 1

Person identification by mobile robots in indoor environment...

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1st IEEE International Workshop on Robotic Sensing 2003, ROSE 2003

作者： Cielniak, Grzegorz Duckett, Tom Centre for Applied Autonomous Sensor Systems Dept. of Technology Örebro University ÖrebroSE-70182 Sweden

ISBN: (纸本)0780381092

This paper addresses the problem of identifying persons with a mobile robot. In the proposed system, people are first detected and then tracked with the robot's laser range-finder sensor, using an independent Kalman filter for each person. After segmentation, the rectangular region of the image containing the person is divided into regions corresponding to the person's head, torso and legs. Colour features are extracted from each region for input to a pattern recognition system. Five alternative classification methods were investigated, including experiments on a real robot and with a static camera system. The best identification performance was obtained with an ensemble of self-organizing maps (ESOM), where one self-organizing map is trained for each person in the robot's database. We also discuss how to incorporate the new method into a complete application of a robotic security guard. © 2003 IEEE.

关键词： Self organizing maps

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An elephant in the dark creating semantic representations of perceived data with conceptual spaces 6

An elephant in the dark creating semantic representations of...

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6th International Workshop on Artificial Intelligence and Cognition, AIC 2018

作者： Banaee, Hadi Schaffernicht, Erik Loutfi, Amy Centre for Applied Autonomous Sensor Systems School of Science and Technology Örebro University ÖrebroSE-701 82 Sweden

This paper discusses the task of creating semantic representations to describe numerical observations using conceptual spaces. The theory of conceptual spaces is considered as a semantic representation to conceptualise the perceived numerical information and to infer linguistic descriptions. We propose a data-driven approach to construct conceptual spaces from numerical data automatically. First, the elements of a conceptual space are derived based on a set of numerical observations in order to semantically represent the concepts of a given data set. This data-driven conceptual space is then employed for the task of semantic inference, in order to linguistically describe unknown perceived observations. © 2019 CEUR-WS. All rights reserved.

关键词： Semantics

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