Detergent and Soaps Adulteration Detection in the Milk Using Artificial Embedded Sensors

  • Authors

    • Rajashekhar B S
    • Ashok Kusagur
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.17900
  • artificial tongue, milk adulteration, milk pH, milk conductivity,

  • Abstract

    An absolute natural world mammals food is milk and is the only foodstuff that practically consists of almost all the nutrition is known to be necessary for individual personality. This research paper aims to play a good role in the rural source of revenue and livelihood improvement in emergent countries. In an insightful and sustainable way, through assisting the milk provider and consumer factions with harmless reasonably priced milk and dairy foodstuffs. The target of this research paper is to analyze and detection of frauds which are mixing the soapy and detergent materials to the milk for monetary benefits. It will be working on small-scale milk collection. For avoiding adulteration it is aimed to develop an artificial embedded system to discourage farmers and adulterator from adding soaps, detergents and shampoo substances to the milk and the payment scheme should be decided accordingly. An experiment was conducted for pure pasteurized cow milk of 3.5% fat under different temperature conditions on different days. There are 50 experiments with 10 different quantities of adulterants of shampoo, detergents and soaps were conducted. The conducted experimental results were tabulated and analyzed by statistical methods. These experimental results showing that there was no match of conductivity and pH values of the shampoo, detergents adulterated milk with standard pasteurized milk. This mismatch value indicates the presence of adulterants and experimental results show the mixing of detergents leads to the milk pH scale to base range and conductivity may be decreased or increased but never match with the standard pH and conductivity scale. For this reason, it is an efficient and effective method of detection of detergent based adulteration in milk and it is a low-cost design due to low-cost artificial embedded tongue system.

     

      

  • References

    1. [1] Haper, W.J. and C.W. Hall. 1981.Dairy Technology and Engineering.AVI Publishing Co., Inc., Westport, CT, pgs. 22-23

      [2] Banks J.M., Muir D.D., Tamine A.Y., Equations for estimation of the efficiency of Cheddar cheese production, Dairy Ind. Int. 49 (1984) 14–17.

      [3] Coulon J.B., Hurtaud C., Rémond B., Vérité R., Factors contributing to variation in the proportion of casein in cows’ milk true protein: a review of recent INRA experiments, J. Dairy Res. 65 (1998) 375–387.

      [4] Royet, J.P.; Hudry, J.; Zald, D.H.; Godinot, D.; Gregoire, M.C.; Lavenne, F.; Costes, N.; Holley,A. Functional neuroanatomy of different olfactory judgments. Neuroimage 2001, 13, 506-519.

      [5] Fenelon M.A., Guinee T.P., The effect of milk fat on Cheddar cheese yield and its prediction using modifications of the Van Slyke cheese yield formula, J. Dairy Sci. 82 (1999) 2287–2299.

      [6] FAO Milk Producer Group Resource Book (2002): ftp://ftp.fao.org/docrep/fao/007/y3548e/y3548e00.pdf

      [7] International Organisation for Standards (ISO) 67:100 Milk & Dairy Products http://www.iso.org/iso/iso_catalogue/catalogue_ics/catalogue_ics_browse.htm?ICS1=67&ICS2=100

      [8] Das.D.Dec 2000.Cost-EfFectiveness in Milk Production Vis-a-vis Quality. Indian Dairyman. New Delhi: Indian Dairy Association. Vol.52, Pp 59-61

      [9] Campbell and Marshall, 1975, cited inPark et al., 2007.

      [10] Hutton, J.L.; Baracos, V.E.; Wismer, W.V. Chemosensory dysfunction is a primary factor in the evolution of declining nutritional status and quality of life in patients with advanced cancer.J. Pain Symptom Manage. 2007, 33, 156-165.

      [11] Auvray, M.; Spence, C. The multisensory perception of flavor. Consc. Cogn. 2008, 17, 1016-1031.

      [12] Wilson, A.D. Fungicide residue identification and discrimination using a conducting polymer electronic-nose. In Proceedings of the Fourth International Conference on Sensor Device Technologies and Applications, Barcelona, Spain, 25–31 August 2014; Xpert Publishing Services: Wilmington, DE, USA, 2013; pp.116–121.

      [13] Wilson, A.D. Identification of insecticide residues with a conducting-polymer electronic nose. Chem. Sens. 2014, 4, 1–10.

      [14] Modeling & Simulation of an ANFIS controller for an AC drive Ashok Kusagur, S Fakirappa Kodad ISSN 1 746-7233, England, UK World Journal of Modelling and Simulation Vol. 8 (2012) No. 1, pp. 36-49

      [15] Rajashekhar somasagar and Ashok Kusagur Sugar and Milk Powder Contamination Detection and Analysis in the Milk Using Artificial E-Senses, Journal of Advanced Research in Dynamical and Control Systems, issue1, 2018; pp58-63.

      [16] Rajashekahar somasagar and Ashok kusagur, pH and potentiometric based dilution detection in for milk quality analysis, IEEE@VJEC, July 2017.

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  • How to Cite

    B S, R., & Kusagur, A. (2018). Detergent and Soaps Adulteration Detection in the Milk Using Artificial Embedded Sensors. International Journal of Engineering & Technology, 7(2.33), 1022-1024. https://doi.org/10.14419/ijet.v7i2.33.17900

    Received date: 2018-08-19

    Accepted date: 2018-08-19

    Published date: 2018-06-08