GHS Implementation to Strengthen Global Chemical Hazard Communication: Will We Ever Get There?

Ta, Goh Choo

doi:10.1021/acs.chas.0c00114

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…Since the GHS results of a specific compound can be different across borders, , we should establish consensus GHS results rather than ignoring the limitation of a single regulator. Therefore, we counted the occurrences of all four GHS labels (Corr., Irrit., Mild Irrit., and Neg.)…”

Section: Materials and Methodsmentioning

confidence: 99%

AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods

Huang,

Lou,

Wang

et al. 2024

Chem. Res. Toxicol.

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Skin Corrosion/Irritation (Corr./Irrit.) has long been a health hazard in the Globally Harmonized System (GHS). Several in silico models have been built to predict Skin Corr./Irrit. as an alternative to the increasingly restricted animal testing. However, current studies are limited by data amount/quality and model availability.To address these issues, we compiled a traceable consensus GHS data set comprising 731 Corr., 1283 Irrit., and 1205 negative (Neg.) samples from 6 governmental databases and 2 external data sets. Then, a series of binary classifiers were developed with five machine learning (ML) algorithms and six molecular representations. For 10fold cross-validation, the best Corr. vs Neg. classifier achieved an Area Under the Receiver Operating Characteristic Curve (AUC) of 97.1%, while the best Irrit. vs Neg. classifier achieved an AUC of 84.7%. Compared with existing in silico tools on external validation, our Attentive FP classifiers showed the highest metrics on Corr. vs Neg. and the second highest accuracy on Irrit. vs Neg. The SHapley Additive exPlanation approach was further applied to figure out important molecular features, and the attention weights were visualized to perform interpretable prediction. Structural alerts associated with Skin Corr./Irrit. were also identified. The interpretable Attentive FP classifiers were integrated into the software AttentiveSkin at https://github.com/ BeeBeeWong/AttentiveSkin. The conventional ML classifiers are also provided on our platform admetSAR at http://lmmd.ecust. edu.cn/admetsar2/. Considering the data deficiency and the limited model availability of Skin Corr./Irrit., we believe that our data set and models could facilitate chemical safety assessment and relevant studies.

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Section: Materials and Methodsmentioning

confidence: 99%

AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods

Huang,

Lou,

Wang

et al. 2024

Chem. Res. Toxicol.

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“…The goal is to make it easier not only to trade chemicals across national borders but also to make it more accessible to use chemicals safely. There have been problems with the adoption of different versions of the GHS document, the adoption of other building blocks, the creation of a list of classified chemicals, the impact of the confidential business information on the supply chain, and the definition of GHS implementation all over the world (Ta, 2021). Thus, GHS is gaining popularity, most likely due to the necessity for indepth studies to address the concerns and problems associated with GHS.…”

Section: A Data Retrieval and Initial Data Analysismentioning

confidence: 99%

A Scientometric Review of Chemical Management

Abdullah¹

2023

ASMScJ

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Chemical management is critical and has an enormous impact on our daily lives. Numerous advancements in chemical production have transformed management facets, most notably vis-à-vis safety, health, and environment. Thus, the scientometric review could depict and analyse publication trends in updating scientific datasets and knowledge in this field. This scientometric review is intended to scrutinise the progress, trends, and updates of publications concerning chemical management in the Scopus and Web of Science databases. The publication patterns and authors’ keywords are among the scientometric parameters examined in this review. The obtained publication lists or metadata in this study were analysed using ScientoPy and VOSviewer software, which displayed the scientometric results graphically. The current study portrayed that the number of publications on chemical management has increased in both databases. The exploratory publications and research areas reveal that efforts to inspect chemical management cover miscellaneous topics and disciplines such as environmental science and ecology, engineering, and agriculture. The most related authors’ keywords concerning chemical management are “Risk management”, “Risk assessment”, and “REACH”. Researchers and practitioners may benefit from this scientometric review since it contains data, concepts, thoughts, and insights that can be employed to bolster their theories and practices in managing chemicals.

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“…All SDS should follow a standardized format internationally . Challenges in this regard continue to require the input of several stakeholders’ efforts to strengthen global chemical hazard communication . We compared SDS from various sources, such as CAMEO Chemicals, Sigma-Aldrich, NIOSH Pocket Guide to Chemical Hazards, PubChem, and OSHA.…”

Section: Hazards Of Primary Aromatic Aminesmentioning

confidence: 99%

Toxicity, Hazards, and Safe Handling of Primary Aromatic Amines

Gheni,

Ali,

et al. 2023

ACS Chem. Health Saf.

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Aromatic amines (AAs) are an important class of organic compounds that find their application in various industries, such as dye production, rubber manufacturing, and pharmaceutical synthesis. Despite the various applications, they significantly harm human health and the environment. This article provides an overview of the toxicity, hazards, and safe handling of some primary aromatic amines (PAAs), focusing on representative examples, such as aniline, toluidine, nitroaniline, chloroaniline, and naphthylamine. The carcinogenicity and mutagenicity of PAAs are a matter of concern that impacts the health of workers who are occupationally exposed to such chemicals. Nonoccupational exposure to tobacco smoke and household products also causes health issues in elderly patients who remain indoors. Water and soil contamination by these pollutants adversely affects aquatic organisms and groundwater quality. Thus, proper handling and disposal protocols must be followed to minimize their impact on human health and the environment. Additionally, this review discusses the discrepancies between the European Union (EU) and Japan’s hazard categorization for aniline as a specific example. The information presented in this review emphasizes the importance of understanding toxicity, hazards, and safe handling practices associated with PAAs to ensure their responsible use and mitigate potential risks.

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GHS Implementation to Strengthen Global Chemical Hazard Communication: Will We Ever Get There?

Cited by 5 publications

References 9 publications

AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods

AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods

A Scientometric Review of Chemical Management

Toxicity, Hazards, and Safe Handling of Primary Aromatic Amines

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