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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
Tue Jan 01 2019
Journal Name
Journal Of Advanced Research In Dynamical And Control Systems
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Scopus
Publication Date
Tue Nov 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
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Abstract

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Wed Jun 30 2021
Journal Name
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Crossref
Publication Date
Mon Feb 01 2016
Journal Name
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Publication Date
Sun Aug 10 2025
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Publication Date
Tue Mar 30 2021
Journal Name
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Sun Feb 28 2021
Journal Name
International Journal Of Intelligent Engineering And Systems
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Malaria is a curative disease, with therapeutics available for patients, such as drugs that can prevent future malaria infections in countries vulnerable to malaria. Though, there is no effective malaria vaccine until now, although it is an interesting research area in medicine. Local descriptors of blood smear image are exploited in this paper to solve parasitized malaria infection detection problem. Swarm intelligence is used to separate the red blood cells from the background of the blood slide image in adaptive manner. After that, the effective corner points are detected and localized using Harris corner detection method. Two types of local descriptors are generated from the local regions of the effective corners which are Gabor based f

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Publication Date
Mon Feb 08 2016
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