Non Destructive Testing | Application

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Spectral non-destructive testing technolog

author: Cily

2023-02-14

Non-destructive testing technology is an emerging comprehensive applied discipline. It is a testing technology that accurately obtains physical and chemical information such as internal and external properties and components without destroying the physical state and chemical properties of the detected object. Compared with the disadvantages of low detection efficiency and low accuracy in traditional detection methods, nondestructive testing technology has the advantages of being more efficient, accurate, and capable of real-time detection.

Food safety is one of the major livelihood projects. At present, technologies used to trace the origin of agricultural products emerge in endlessly. The traditional detection technologies mainly include stable isotope technology, mineral element fingerprint technology and DNA traceability technology. Different technologies have different characteristics. Different roles are played in origin traceability. Compared with other origin traceability technologies, spectral detection technology is widely used in fruit, grain, meat and other fields due to its many advantages such as simple detection, fast and efficient, green and pollution-free, and online real-time detection.
Application of near-infrared spectroscopy in tracing the origin of agricultural products

1. Application of near-infrared spectroscopy in fruit traceability
Product crops from different geographical sources are affected by climate, environment, soil and other factors, and there are certain differences in the structure and content of their internal components (moisture, protein, trace elements, etc.), which lead to differences in the spectral characteristics of different products. At the same time, the high moisture content of fruits will cause strong interference to the absorption of near-infrared spectra. Therefore, in the research on the origin of fruits, operations such as subtracting moisture peaks during preprocessing of the original spectra should be taken to reduce errors. Scholars at home and abroad have done a lot of research on the application of near-infrared spectroscopy to trace the origin of bulk fruits such as apples, citrus, and jujubes.

2. Application of near-infrared spectroscopy in grain traceability
In the early years, scholars generally focused on grain traceability research on bulk density, volume and density, color, luster, and nutrient content. These characteristics were time-consuming and the accuracy was not high, which seriously restricted the efficiency of grain origin identification. The effect of near-infrared spectroscopy on the detection of common grain origin is relatively ideal, and the established model can effectively distinguish different types of grain products, which also provides new ideas and methods for the classification and identification of other organic substances. In the future, it is necessary to further study the adulteration identification of grains from different regions to ensure the safety and authenticity of grain products.
3. Application of near-infrared spectroscopy in traceability of other agricultural products
In addition to fruits and grains, near-infrared spectroscopy has also been applied to the identification of the origin of other edible agricultural products, and it is mainly concentrated in the fields of plant-derived agricultural products and animal-derived agricultural products. These studies preliminarily prove that near-infrared spectroscopy is feasible for the identification of the origin of agricultural products. The accuracy of the prediction model based on near-infrared spectroscopy is very ideal, but whether the tested samples are representative and whether this technology can be extended to Much research is still needed in other or most edible produce.

Application of hyperspectral imaging in traceability of agricultural products

1. Application of hyperspectral imaging in fruit traceability
The application of hyperspectral imaging technology for fruit traceability has developed rapidly in recent years. Compared with traditional near-infrared spectroscopy, hyperspectral imaging can fully reflect the spatial distribution information of the tested samples, so it can quickly reflect the spatial distribution inside the fruit.

2. Application of hyperspectral imaging in grain traceability
Hyperspectral imaging technology combined with chemometric methods can effectively distinguish grain products from different origins, but limited to the type and number of samples, the validity and robustness of the model have yet to be verified.

3. Application of hyperspectral imaging in traceability of other agricultural products
In addition, the application of hyperspectral imaging technology is also concentrated in some plant-derived agricultural products, meat identification, and edible oil adulteration classification.

Application of Raman Spectroscopy in Traceability of Agricultural Products

1. Application of Raman spectroscopy in fruit traceability
Raman spectroscopy was mostly used in gemstones, iron ore and other fields in the early days, but the research results of using Raman spectroscopy technology to trace the origin of fruits are not very rich, and it is mostly used in component analysis and drug residue detection in the field of fruits.
2. Application of Raman spectroscopy in grain traceability
Due to the differences in the content and type of chemical components (starch, moisture, minerals) inside the grain, Raman spectroscopy can be analyzed according to the difference in spectral information formed, which is also an orderly monitoring for the rapid identification of grain types, production areas and markets offers the possibility.

3. Application of Raman spectroscopy in traceability of other agricultural products
In addition, the application of Raman spectroscopy is also focused on the distinction of traditional Chinese medicine production areas, the identification of adulteration of honey and edible oil, etc.

In general, Raman spectroscopy has become a powerful tool for material structure and its changes due to its excellent fingerprint function. Establishing a suitable mathematical model through Raman spectral data can achieve non-destructive, fast and accurate judgment of agricultural product categories and adulteration identification. This provides the possibility for orderly monitoring of the market.