The definition of environmental pollution is becoming increasingly diverse,with accelerating change and exposure to complex mixtures that defy traditional detection-based monitoring approaches.We discuss the current t...The definition of environmental pollution is becoming increasingly diverse,with accelerating change and exposure to complex mixtures that defy traditional detection-based monitoring approaches.We discuss the current trends in environmental analytical chemistry whereby,rather than targeted quantification,an integrated pollutant assessment,which upholds chemical discovery,interpretability,and real-world relevance,is desired.We initially explain the conceptual change between preset sets of analytes to the chemical space exploration made possible by exploring the chemical space using high-resolution mass spectrometry,multidimensional separations,and rapid/direct analysis technologies.We next mention how the new classes of contaminants and transformation products,as well as the complexity of mixtures,reveal the long-standing gaps in sensitivity,selectivity,and confidence of the identification,especially in the non-targeted workflows.In response to such limitations,we now mention changes that combine chemical measurement with biological and data-informed aspects,such as effect-based assays,exposure-oriented metrics,chemometrics,and machine learning feature prioritization and structure annotation.We also look at the transformation of higher orders of analytical products into clean-up programs and decision programs,which should focus on continuous and in-place sensing,tiered monitoring designs,and risk-based prioritization plans that more closely reflect the changing realities of the environment.Lastly,we determine future research requirements in harmonization,open data infrastructure,and reproducibility,and the development of autonomous and intelligent analytical systems that can perform adaptive monitoring and provide insights quickly.All these changing frontiers transform environmental analysis into a detection instrument into an actionable environmental intelligence that can be used to proactively manage and protect the ecosystems and human health.展开更多
Chemical cocktails in the environment can cause adverse impacts on ecosystems and human health even at low concentrations.Effect-directed analysis(EDA)has proven to be very valuable in identifying key toxic substances...Chemical cocktails in the environment can cause adverse impacts on ecosystems and human health even at low concentrations.Effect-directed analysis(EDA)has proven to be very valuable in identifying key toxic substances in environmental mixtures.For this,it is important to carefully select accurate bioassays from a wide range of tests for EDA when applying it to actual environmental samples.This article reviews studies published from2014 to 2023 that have applied EDA and summarizes the bioassays and their corresponding biological effects.A total of 127 studies were selected from 591 publications evaluating the toxic effects of environmental samples,including wastewater,surface water,and sediments.Here,bioassays used in EDA are summarized,including the assays that measure specific receptormediated modes of action(MOA),induction of xenobiotic metabolism pathways,and induction of adaptive stress response pathways using either in vitro or in vivo bioassays.Also,the identified substances using EDA are discussed based on their MOA.The importance of EDA in establishing a comprehensive approach for the detection of environmental contaminants using bioanalytical methods is emphasized.The current limitations and benefits of using EDA in practical applications are outlined and strategies for moving forward are proposed.展开更多
文摘The definition of environmental pollution is becoming increasingly diverse,with accelerating change and exposure to complex mixtures that defy traditional detection-based monitoring approaches.We discuss the current trends in environmental analytical chemistry whereby,rather than targeted quantification,an integrated pollutant assessment,which upholds chemical discovery,interpretability,and real-world relevance,is desired.We initially explain the conceptual change between preset sets of analytes to the chemical space exploration made possible by exploring the chemical space using high-resolution mass spectrometry,multidimensional separations,and rapid/direct analysis technologies.We next mention how the new classes of contaminants and transformation products,as well as the complexity of mixtures,reveal the long-standing gaps in sensitivity,selectivity,and confidence of the identification,especially in the non-targeted workflows.In response to such limitations,we now mention changes that combine chemical measurement with biological and data-informed aspects,such as effect-based assays,exposure-oriented metrics,chemometrics,and machine learning feature prioritization and structure annotation.We also look at the transformation of higher orders of analytical products into clean-up programs and decision programs,which should focus on continuous and in-place sensing,tiered monitoring designs,and risk-based prioritization plans that more closely reflect the changing realities of the environment.Lastly,we determine future research requirements in harmonization,open data infrastructure,and reproducibility,and the development of autonomous and intelligent analytical systems that can perform adaptive monitoring and provide insights quickly.All these changing frontiers transform environmental analysis into a detection instrument into an actionable environmental intelligence that can be used to proactively manage and protect the ecosystems and human health.
基金supported by the National Natural Science Foundation of China(Nos.22106157 and U20A20133)the National Key Research and Development Program of China(No.2022YFF0606700)+1 种基金the CIRP Open Fund of Radiation Protection Laboratories(No.ZFYHHJMN-2023003)the Fundamental Research Funds for the Provincial Universities of Zhejiang,China.
文摘Chemical cocktails in the environment can cause adverse impacts on ecosystems and human health even at low concentrations.Effect-directed analysis(EDA)has proven to be very valuable in identifying key toxic substances in environmental mixtures.For this,it is important to carefully select accurate bioassays from a wide range of tests for EDA when applying it to actual environmental samples.This article reviews studies published from2014 to 2023 that have applied EDA and summarizes the bioassays and their corresponding biological effects.A total of 127 studies were selected from 591 publications evaluating the toxic effects of environmental samples,including wastewater,surface water,and sediments.Here,bioassays used in EDA are summarized,including the assays that measure specific receptormediated modes of action(MOA),induction of xenobiotic metabolism pathways,and induction of adaptive stress response pathways using either in vitro or in vivo bioassays.Also,the identified substances using EDA are discussed based on their MOA.The importance of EDA in establishing a comprehensive approach for the detection of environmental contaminants using bioanalytical methods is emphasized.The current limitations and benefits of using EDA in practical applications are outlined and strategies for moving forward are proposed.
