2017
DOI: 10.1007/s12161-017-1054-4
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Milk Characterization Using Electrical Impedance Spectroscopy and Fractional Models

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Cited by 42 publications
(20 citation statements)
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“…The acidity of milk affects the protein coagulation thereby releasing mineral salts to the colloidal phase. The electrical behavior of milk increase or decrease in dissolved ionic content in the serum depending upon formation or dissolution of protein particles [14].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The acidity of milk affects the protein coagulation thereby releasing mineral salts to the colloidal phase. The electrical behavior of milk increase or decrease in dissolved ionic content in the serum depending upon formation or dissolution of protein particles [14].…”
Section: Resultsmentioning
confidence: 99%
“…However, the methods are often laborious, slow and expensive. In this context, mathematical models based on electrical measurements appear as an good alternative [14]. From an electrical point of view, milk can be understood as an electrolyte solution in which the charge transporters originate from the dissociation of salts.…”
Section: Introductionmentioning
confidence: 99%
“…Measurement of the electrical properties of various agricultural products and foods is used to determine different parameters, mainly the moisture content, and also chemical components, the germinability of seeds and grains, and the resistance of fruits to frost [ 12 , 13 ]. Through the use of electrical resistance or conductance, RF capacitance measurements for dielectric heating parameter determination and microwave measurements of dielectric properties for quality sensing, e.g., of fruits, vegetable or milk, have been studied for many years [ 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“… [26] presents the principles of fractional-order modeling for dynamic processes by using electrochemical impedance spectroscopy (EIS). EIS also has been applied for analyzing and modeling fractional-order systems, such as analyzing complex physical and chemical processes occurring within electrochemical systems [27] as well as characterization of materials [28] , [29] . An EIS inspired empirical FOM for lithium-ion batteries is proposed in [30] .…”
Section: Introductionmentioning
confidence: 99%