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EVALUATION OF INFORMATION LABEL FOR SOME LOCAL PICKLED PRODUCTS AND ESTIMATION OF SODIUM BENZOATE THEREIN: EVALUATION OF INFORMATION LABEL FOR SOME LOCAL PICKLED PRODUCTS AND ESTIMATION OF SODIUM BENZOATE THEREIN
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ABSTRACT

The study aimed to evaluate the information label of some local pickle products and estimate sodium benzoate therein. 85 samples of locally made pickles were collected from Baghdad city markets and randomly from five different areas in Baghdad it included (Al-Shula, Al-Bayaa, Al-Nahrawan, Al-Taji, and Abu Ghraib), which were divided into groups P1, P2, P3, P4 and P5, respectively, according to those areas,  samples information label was scanned and compared with the Iraqi standard specification for the information card of packaged and canned food IQS 230, the results showed that 25.9% of the samples were devoid of the indication card information, 32.9% matched and 41.20% did not match, and 71.8% of the pickled samples gave a positive test result when the qualitative detection of sodium benzoate, this indicates that it is used to preserve the product , as for 28.2%, the result was negative, the average concentration of this substance for the samples for groups P1, P2, P3, P4 and P5 was 1704,23, 973,67, 995,81, 1216,27 and 1142,19 mg/kg respectively, 40.98% of the samples analyzed in which the concentration of sodium benzoate exceeds the permissible limit of 1000 mg/kg that was determined by the Iraqi standard specification for pickles IQS 1128.

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Publication Date
Sun Jan 01 2012
Journal Name
مجلة العلوم التربوية والنفسية
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Sat Feb 27 2021
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Linear regression is one of the most important statistical tools through which it is possible to know the relationship between the response variable and one variable (or more) of the independent variable(s), which is often used in various fields of science. Heteroscedastic is one of the linear regression problems, the effect of which leads to inaccurate conclusions. The problem of heteroscedastic may be accompanied by the presence of extreme outliers in the independent variables (High leverage points) (HLPs), the presence of (HLPs) in the data set result unrealistic estimates and misleading inferences. In this paper, we review some of the robust

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Publication Date
Tue Dec 29 2020
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Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
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