Related Experiment Video
Updated: Feb 13, 2026

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
Published on: December 31, 2017
Lack of significant risk from everyday dietary nickel: Rethinking the application of oral toxicity reference values
Michael D Dutton1, Chris Bacigalupo2
1BioProcess Assist (BPA) Ltd, 8579 Appleby Line, Campbellville, Ontario, L0P 1B0, Canada.
Abstract:
Toxicity reference value (TRV) is a general term for an exposure limit below which health impairment is not expected. TRVs are used to develop environmental quality standards and for other risk-based activities. Nickel (Ni) TRVs developed by several influential regulatory agencies have used toxicity data from rats orally exposed to nickel sulfate hexahydrate (NSHH). These TRVs converted doses from an NSHH-basis to an 'as-nickel' basis, under the belief that controls received no Ni, which is not the case. The extrapolation from a point-of-departure to a human-relevant limit has resulted in TRVs that are, in some instances, less than the estimated normal daily dietary nickel intake observed in certain human life stages. As a result, Ni that is present naturally in food has been incorrectly believed to be contributing to human health risk. The now common risk assessment practice of applying these Ni TRVs on an 'inclusive of baseline diet' basis, contrasts with the Institute of Medicine (IOM) perspective that there is no evidence of adverse effects associated with a normal diet: rather, human health risk is associated with excess nickel intake as soluble nickel salts. TRVs based on soluble Ni salts are to be distinguished from the normal Ni-containing diet.
Related Concept Videos
Drug Toxicity: Risk factors
Biodiversity and Human Values
Professional Values
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
Critical Values
Dietary Connections
z Scores and Unusual Values
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...

