| Literature DB >> 20165612 |
Mirtaghi Mirmohammadi1, M Hakimi Ibrahim, Anees Ahmad, Mohd Omar Abdul Kadir, M Mohammadyan, S B Mirashrafi.
Abstract
Today many raw materials used in factories may have a dangerous effect on the physiological system of workers. One of them, which is widely used in the polyurethane factories, is diisocyanates. These compounds are widely used in surface coatings, polyurethane foams, adhesives, resins, elastomers, binders, and sealants. Exposure to diisocyanates causes irritation to the skin, mucous membranes, eyes, and respiratory tract. Methylene dianiline (MDA) is a metabolite of methylene diphenyle diisocyanate (MDI), an excretory material of worker's urine who are exposed to MDI. Around 100 air samples were collected among five factories by the Midget Impinger, which contained DMSO absorbent as a solvent and Tryptamine as a reagent. Samples were analyzed by high-performance liquid chromatography with an EC\UV detector using the NIOSH 5522 method of sampling and analysis. Also, fifty urine samples were collected from workers by using William's biological analysis method. The concentration of MDI in all air samples was more than 88 mug/m(3), showing a high concentration of the pollutant in the workplaces in comparison with the NIOSH standard, and all the worker's urine was contaminated by MDA. The correlation and regression tests were used to obtain statistical model for MDI and MDA that is useful for prediction of diisocyanates pollution situation in the polyurethane factories.Entities:
Keywords: Air pollution; diisocyanates; polyurethane factories; sampling and analysis; statistical model
Year: 2009 PMID: 20165612 PMCID: PMC2822168 DOI: 10.4103/0019-5278.50723
Source DB: PubMed Journal: Indian J Occup Environ Med ISSN: 0973-2284
Figure 1MDI chromatogram by HPLC
Maximum and minimum reading of indoor air variables in the five MDI polyurethane factories
| Factories code Variables | A | B | C | D | E | N Stations | Total |
|---|---|---|---|---|---|---|---|
| Max MDI pollution concentration ( | 101 | 98 | 97 | 96 | 95 | 300 | 101 |
| Min | 98 | 98 | 96 | 95 | 93 | 93 | |
| Mean | 98.89 | 98 | 96.95 | 95.57 | 93.84 | 96.64 | |
| Max Relative humidity (%) | 45 | 43 | 43 | 43 | 300 | 45 | |
| min | 45 | 45 | 43 | 43 | 41 | 41 | |
| Mean | 45 | 45 | 43 | 43 | 42.58 | 43.7 | |
| Max Wet temperature (°C) | 23 | 25 | 25 | 27 | 27 | 300 | 27 |
| min | 23 | 23 | 25 | 25 | 27 | 23 | |
| Mean | 23 | 24.33 | 25 | 26.33 | 27 | 25.16 | |
| Mean Dimension of factory (m3) | 6300 | 8600 | 9800 | 11,200 | 12,500 | 5 | 9680 |
| Mean Altitude (m) | 1200 | 1200 | 1100 | 890 | 22 | 5 | 882 |
Coefficients of regression model for MDI pollutant and polyurethane indoor air parameters
| Model | Unstandardized coefficients | Standardized coefficients | ||||
|---|---|---|---|---|---|---|
| B | Std. error | Beta | t | Sig. | ||
| 4 | Constant | 16.619 | 4.740 | 3.506 | 0.001 | |
| Relative humidity (%) | 1.238 | 0.090 | 0.652 | 13.757 | 0.0001 | |
| Dimension factory (m3) | 0.000 | 0.000 | −0.096 | −8.414 | 0.0001 | |
| Dry bulb temperature (°C) | 1.276 | 0.201 | 0.284 | 6.357 | 0.0001 | |
Relationship test between air sample results and urine sample results
| Model | Sum of squares | df | Mean square | F | Sig. | |
|---|---|---|---|---|---|---|
| 1 | Regression | 912.73 | 1 | 912.73 | 46.737 | 0.0001 |
| Residual | 253.876 | 13 | 19.529 | |||
| Total | 1166.606 | 14 |
Predictors: constant, MDA standard pollution. b Dependent variable: MDI standard pollution.
Figure 2MDA concentrations in different workplace areas
Regression model coefficient for MDI and MDA
| Model | Unstandardized coefficients | Standardized coefficients | t | 95% confidence interval for B | ||||
|---|---|---|---|---|---|---|---|---|
| B | Std. error | Beta | Lower bound | Upper bound | ||||
| 1 | Constant | 42.485 | 6.423 | 6.615 | 0.0001 | 28.610 | 56.360 | |
| MDA standard pollution | 13.075 | 1.913 | 0.885 | 6.836 | 0.0001 | 8.943 | 17.207 | |
a Dependent variable: MDI standard pollution.