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Application scenarios of multispectral products |
| Publisher：Shanghai Jinghongkepu Optoelectronics Technology Co., Ltd Release time：2025-01-13 15:41:05 Click count：22 Close |
The application scenarios of multispectral products are very diverse, such as lawn mowers (grassland boundary recognition), drones in smart agriculture, projectors (personnel intrusion detection/wall color detection), floor cleaning robots, industrial detection, and food freshness detection in smart kitchens. Previously, the R&D team of Huineng Perception conducted experiments on "food freshness detection" and concluded that hyperspectral imaging technology can detect food freshness. What are the current applications of spectral detection technology in the field of food safety? Here are some main aspects:
1. Nutritional component detection: Near infrared spectroscopy technology can quickly and non destructively detect the content of nutrients such as protein, fat, carbohydrates, and moisture in food. For example, in the process of grain procurement and processing, near-infrared spectroscopy can be used to quickly determine the protein and moisture content of grains such as wheat and rice, thereby rapidly evaluating their quality and nutritional value. 2. Food authenticity identification: Raman spectroscopy and near-infrared spectroscopy techniques can identify the authenticity, origin, and variety of food by analyzing its spectral characteristics. Raman spectroscopy can be used to distinguish fruits and vegetables from different origins and varieties, as well as to distinguish the authenticity of olive oil, honey, etc; Near infrared spectroscopy can identify meat adulteration and vegetable oil adulteration. Hazardous substance detection 1. Pesticide residue detection: Spectral detection techniques such as UV visible spectrophotometry and mass spectrometry can be used to detect pesticide residues in agricultural products. By comparing the standard spectrum with the sample spectrum, the type and content of pesticides in the sample can be determined, which helps to ensure the safety of agricultural products. For example, gas chromatography-mass spectrometry (GC-MS) technology can be used to detect various pesticide residues such as organophosphates and amino esters in fruits and vegetables. 2. Heavy metal detection: Fluorescence spectroscopy, atomic absorption spectroscopy, and other methods can be used to detect heavy metal elements in food, such as mercury, lead, cadmium, etc. These methods have the characteristics of high sensitivity and good accuracy, which can timely detect heavy metal pollution in food and ensure the health of consumers. For example, the content of heavy metal mercury in seafood can be accurately determined by atomic absorption spectroscopy. 3. Detection of veterinary drug residues: Spectral techniques such as mass spectrometry can detect veterinary drug residues in food, such as antibiotics, hormones, etc. This helps to control the abuse of veterinary drugs in food and ensure food safety. For example, liquid chromatography-mass spectrometry (LC-MS) technology can detect residues of antibiotics such as tetracycline and sulfonamide in foods such as meat and eggs. |
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