Rapid detection method of milk protein content based on dielectric spectrum technique

Abstract

The invention discloses a rapid detection method of the milk protein content based on a dielectric spectrum technique. According to the rapid detection method, dielectric spectra (a relative dielectric constant spectrum and a dielectric loss factor spectrum) of a batch of milk samples within a radio frequency/microwave range are obtained by utilizing a network analyzer (or an impedance analyzer) and a coaxial probe, characteristic dielectric variables which express the milk protein content are extracted from the dielectric spectra, linear or nonlinear prediction models which are used for predicting the milk protein content are established on the basis of the dielectric spectra or the extracted characteristic dielectric variables within the whole frequency range, the models are inspected, and the model of which the root-mean-square error is the minimum is used as the optimum model for predicting the milk protein content. Data of the dielectric spectra under unknown characteristic frequency of the milk samples are substituted into the optimum model, so that the protein content of the samples can be calculated. The rapid detection method has the advantages of rapidity in detection, convenience, high precision, simplicity in operation and capability of real-time online detection.

Description

technical field [0001] The invention belongs to the technical field of dielectric spectrum measurement, in particular to a rapid detection method for milk protein content based on dielectric spectrum technology. Background technique [0002] Cow's milk is rich in protein, fat, sugar and minerals in a reasonable proportion and easy to digest. It is an ideal food with comprehensive nutrition and plays an important role in people's daily life. Protein is the most important nutrient in milk, especially for fresh milk, the protein content is the core indicator to determine the quality and price of milk. At this stage, the commonly used methods for detecting protein content in milk mainly include: Kjeldahl method, spectrophotometry, combustion method, etc., but these methods are time-consuming, labor-intensive, costly, require professionals, and cannot be applied in real-time or on-site Detection of shortcomings. In order to meet the needs of efficient, rapid and on-line detecti...

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Problems solved by technology

Existing research on the relationship between milk protein content and dielectric spectrum is mainly limited to the influence of different protein types on the milk dielectric spectrum or the establishment of the relationship between the dielectric characteristic parameters and protein content of a single milk sample

Because the protein content of milk produced by different individual cows is different, even the same cow, the protein content of milk produced by it will also change due to the changes of factors such as the lactation period, season, diet, environmental temperature and physical condition of the cow. It makes it difficult to apply the protein prediction model based on a single sample to the detection of the protein content of milk in actual large samples

At present, there are no research papers or patents on the detection of milk protein content in large samples based on dielectric spectrum technology.

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