Database for rapidly detecting mutton quality based on near infrared and establishment method thereof
A technology for establishing a method and database, which is applied in the field of near-infrared-based rapid detection of mutton quality database and its establishment, can solve problems such as difficulty in satisfying users, classification, labor consumption, etc. high sex effect
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Embodiment 1
[0045] see figure 1 with image 3 , a database based on near-infrared rapid detection of mutton quality, including a qualitative identification module, a crude protein measurement module, a crude fat measurement module, a fatty acid measurement module, an amino acid measurement module and a grading module, wherein:
[0046] The positioning identification module qualitatively identifies the mutton according to the spectral clustering analysis results.
[0047] The crude protein determination module is used for the rapid determination of the nutritional components of mutton crude protein.
[0048] The crude fat determination module is used for rapid determination of mutton crude fat nutrients.
[0049] The fatty acid determination module is used for rapid determination of mutton fatty acid nutritional components.
[0050] The amino acid determination module is used for rapid determination of mutton amino acid nutrients.
[0051] The grading module is used to comprehensively ...
Embodiment 2
[0056] On the basis of Example 1, please refer to Figure 2-6, a method for establishing a database based on near-infrared rapid detection of mutton quality, including the following methods:
[0057] Step 1. Sample collection: Collect spectral data of different breeds of sheep. Different breeds of sheep include Arbas cashmere goats, Ujimqin sheep, Dorper sheep, Suffolk sheep and Daqingshan goats, covering the front legs , Hind leg, intercostal, tenderloin and gluteus muscle tissue, use the analyzer to collect near-infrared spectral data of fresh meat samples on site, and record the number, age, gender and breed-related information of the sheep where the samples were collected.
[0058] Step 2. Preliminary sample treatment: Divide the samples into fresh meat samples and frozen meat samples, put the samples into liquid nitrogen, and finally put them in the refrigerator for future use. The storage temperature of the refrigerator is -80°C.
[0059] Step 3. Determination of variou...
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