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Photonics alcohol detector system for Syari;ah compliance food and beverages

机译:适用于Syari; ah认证食品和饮料的光子酒精检测器系统

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In food production, sugars (a type of carbohydrate) are widely used to make the food or beverages taste sweet and delicious. Both natural and manufactured beverages may contain a small amount of alcohol (specifically ethanol) as sugar based food is fermentable into alcohol. Therefore, Muslim consumers must be aware that the allowable percentage of alcohol to exist in the food as mentioned by the Shari'ah is only 0.01%. The main inspiration of this work is to develop a low cost yet reliable alcohol percentage detector for non-alcoholics beverages. The optical properties of beverages that respond to the infrared radiation in the optical wavelengths and frequencies range are thoroughly studied. In the proposed model, percentage of ethanol in the beverages is directly determined by using the first derivative of near-infrared (NIR) absorbance spectrum where the range of wavelength used is from 1680 nm to 1700 nm. By making suitable assumptions of the NIR technique, the alcohol detector system was designed, modeled and simulated by using Microsoft Excel and Microsoft Visual Basic. The model of the alcohol detector system was found to be practical for prototype development and hence the product would help the Muslim consumers to indentify whether the beverages they consumed Halal or not.
机译:在食品生产中,糖(一种碳水化合物)被广泛用于使食品或饮料尝起来香甜可口。天然饮料和人造饮料都可能包含少量酒精(特别是乙醇),因为糖基食品可发酵为酒精。因此,穆斯林消费者必须意识到,伊斯兰教法中提到的食品中所允许的酒精含量仅为0.01%。这项工作的主要灵感是开发一种低成本但可靠的非酒精饮料酒精百分比检测器。彻底研究了在光学波长和频率范围内响应红外辐射的饮料的光学特性。在建议的模型中,饮料中乙醇的百分比是通过使用近红外(NIR)吸收光谱的一阶导数直接确定的,其中所使用的波长范围是1680 nm至1700 nm。通过对NIR技术进行适当的假设,使用Microsoft Excel和Microsoft Visual Basic设计,建模和模拟了酒精检测器系统。人们发现,酒精检测器系统的模型对于原型开发很实用,因此该产品将帮助穆斯林消费者确定他们是否喝过清真饮料。

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