Guidance for Conducting Control Banding Analyses

Keyword(s):  
2021 ◽  
Author(s):  
Evgenii Alevtinovich Grishin

The aim of the study was to examine the protein turnover and morpho-biochemical readings of growing geese taking “Vitammin” feed additive. The control banding poultry received basic diet, the 1st experimental group received the diet with the addition of “Vitammin” in a dose of 0.2 ml/l of water, the 2nd experimental group – 0.5 ml/l of water. The research conducted showed that the use of “Vitammin” feed additive contributed to high-turnover rates and, consequently, improved the oxygen supply to organs and tissues in contrast to the control banding. In case of increasing the dose the additive it was noted that the rates of aerobic respiration increased as well, which is typical for the augmentation of metabolic processes and, subsequently, productivity.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
M. Riediker ◽  
C. Ostiguy ◽  
J. Triolet ◽  
P. Troisfontaine ◽  
D. Vernez ◽  
...  

Control banding (CB) can be a useful tool for managing the potential risks of nanomaterials. The here proposed CB, which should be part of an overall risk control strategy, groups materials by hazard and emission potential. The resulting decision matrix proposes control bands adapted to the risk potential levels and helps define an action plan. If this plan is not practical and financially feasible, a full risk assessment is launched. The hazard banding combines key concepts of nanomaterial toxicology: translocation across biological barriers, fibrous nature, solubility, and reactivity. Already existing classifications specific to the nanomaterial can be used “as is.” Otherwise, the toxicity of bulk or analogous substances gives an initial hazard band, which is increased if the substance is not easily soluble or if it has a higher reactivity than the substance. The emission potential bands are defined by the nanomaterials' physical form and process characteristics. Quantities, frequencies, and existing control measures are taken into account during the definition of the action plan. Control strategies range from room ventilation to full containment with expert advice. This CB approach, once validated, can be easily embedded in risk management systems. It allows integrating new toxicity data and needs no exposure data.


2019 ◽  
Vol 63 (8) ◽  
pp. 898-917 ◽  
Author(s):  
David M Zalk ◽  
Samuel Y Paik ◽  
Wesley D Chase

Abstract Eleven years (by publication) years after the development and application of the control banding (CB) Nanotool for the qualitative assessment and control of engineered nanoparticles (ENP), there remains no quantitative gold standard to serve as an alternative to the qualitative assessment. Many CB models have been developed during the years subsequent to the initial development of the CB Nanotool and the literature continues to blossom with comparisons and applications of these various tools; however, these developments have hitherto been made in the absence of validating and verifying their effectiveness using existing, albeit limited, quantitative methods. This paper reviews the existing literature on the CB Nanotool to evaluate its effectiveness in a variety of settings and presents a summary of qualitative and quantitative information from its application in a broad range of ENP handling activities performed in two different research institutions. A total of 28 ENP activities were assessed using the CB Nanotool (Version 2.0). Due to the lack of guidance on a single exposure assessment methodology, a combination of real-time monitoring, filter analysis, and microscopic analysis was used to assess various quantitative metrics, including mass concentration, particle number concentration, and particle speciation. All the results indicated that the control outcomes from the CB Nanotool qualitative assessment were sufficient to prevent workers from being exposed to ENP at levels beyond established exposure limits or background levels. These data represent an independent quantitative validation of CB Nanotool risk level outcomes and give further credence to the use of the CB Nanotool to effectively control worker exposures in the absence of quantitative air monitoring results.


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