Grease quantitative analysis method based on near-infrared transmission and reflection spectrum technology

Abstract

The invention discloses a grease quantitative analysis method based on a near-infrared transmission and reflection spectrum technology, which comprises the following steps: S1, collecting a pluralityof grease samples, and carrying out calibration wet chemical detection; s2, formulating a grease fatty acid reference standard of each grease index; s3, synchronously carrying out near infrared spectrum scanning on the collected grease sample; s4, through calibration software OPUS8.1, according to the wet chemical detection value calibrated by the grease sample in the S1 and the near infrared spectrum in the S3, carrying out spectrogram preprocessing; according to a spectral residual error, a Mahalanobis distance and a component density value, rejecting an abnormal spectrum and a wet chemicalvalue, establishing a grease quantitative model by applying a partial least squares method; s5, performing algorithm verification on the established quantitative model, and determining an optimal quantitative model; s6, performing blind verification on the quantitative model; s7, performing near infrared spectrum scanning on the grease sample to be detected to obtain a prediction result; and S8, analyzing the fatty acid result of the to-be-detected grease sample obtained by the quantitative model according to the grease fatty acid reference standard formulated in the S2, and identifying the adulteration condition.

Description

technical field [0001] The invention relates to the related technical field of oil adulteration identification, in particular to a method for quantitative analysis of oil based on near-infrared transmission and reflection spectroscopy. Background technique [0002] Oil is an indispensable high-value raw material for feed enterprises. The addition of oil in feed can significantly reduce the heat stress of animals in hot environments, and at the same time provide essential fatty acids such as linoleic acid, linolenic acid, DHA, and EPA to improve animal production levels ; Improve palatability, increase animal feed intake; improve feed processing performance, increase feed stability. Therefore, in the feed industry, oils such as fish oil, lard oil, soybean oil, corn oil and mixed oil are commonly used. However, the oxidative rancidity of oil will reduce the palatability of the feed, thereby affecting the animal's feed intake, and even refusal to eat, poisoning or death, and t...

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Problems solved by technology

[0003] Inadequacies of the existing technology: ① At present, the oxidative rancidity detection of oil in the laboratory involves many detection items, the experiment is time-consuming and labor-intensive, and uses a large amount of organic reagents, and has been engaged in related detection work for a long time, which is not conducive to the safety of personnel; ② Various The detection results of indicators are greatly affected by human factors

The operating habits and steps of different personnel are different, resulting in large fluctuations in the experimental results, affecting the speed and efficiency of oil reception; ③ involving the adulteration of oil, only relying on sensory indicators to judge, it is no longer effective and fast identification, to meet the on-site inspection Require

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