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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
Wed Jan 01 2020
Journal Name
Studies In Big Data
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Corona Virus Disease-2019 (COVID-19) is a novel virus belongs to the corona virus's family. It spreads very quickly and causes many deaths around the world. The early diagnosis of the disease can help in providing the proper therapy and saving the humans' life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest X-Ray image analysis is presented in this article. The histogram of Weber differential excitation and gradient orientation of the local regions surrounding points of interest are proposed to represent the patterns of the chest X-Ray image. Support Vector Machine (SVM) and Deep Belief Network (DBN)

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