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Research progress on the application of spectroscopy and intelligent sensing technology in identification of vegetable oil adulteration
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Xiao-Yan SUN, Li-Yan KONG, Hong-Hong ZHANG, Shu-Yuan XIAO, Shuo QIU, Peng-Yu LIU*
Journal of Food Safety & Quality | 2026, 17(8) : 68 - 75
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Journal of Food Safety & Quality | 2026, 17(8): 68-75
• Special Topic: Application of artificial intelligence in food safety detection •
Research progress on the application of spectroscopy and intelligent sensing technology in identification of vegetable oil adulteration
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Xiao-Yan SUN, Li-Yan KONG, Hong-Hong ZHANG, Shu-Yuan XIAO, Shuo QIU, Peng-Yu LIU*
Affiliations
  • Shenyang Institute for Food and Drug Control, Shenyang 110122, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20251203005
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Vegetable oils are the primary dietary sources of monounsaturated and polyunsaturated fatty acids in human diets, playing a crucial role in maintaining human health and nutritional balance. Owing to the substantial economic disparities among different types of vegetable oils, adulteration events frequently occur during production and distribution, posing serious threats to food safety and consumer rights. In recent years, spectroscopic analysis and intelligent sensing technologies have attracted increasing attention for the authenticity identification of vegetable oils due to the advantages of rapidity, non-destructiveness and high sensitivity. This review systematically summarized the research progress of near-infrared spectroscopy, Fourier-transform infrared spectroscopy, hyperspectral imaging, Raman spectroscopy and fluorescence spectroscopy in the detection of vegetable oil adulteration. Meanwhile, this paper comprehensively reviewed the development of intelligent sensing technologies, such as optical and electrochemical biosensors, electronic nose systems and smartphone-based detection devices, discussed the integration of these techniques with chemometrics for adulteration screening and prediction. This review aims to provide scientific references and data support for the development of rapid and intelligent detection strategies for the authenticity evaluation of vegetable oils based on spectroscopic and intelligent sensing technologies.

vegetable oil  /  spectroscopic analysis  /  intelligent sensing  /  chemometrics  /  adulteration identification
孙晓燕, 孔丽艳, 张宏宏, 肖舒元, 邱硕, 刘朋宇. 光谱与智能传感技术在植物油掺伪鉴别中应用的研究进展. 食品安全质量检测学报, 2026 , 17 (8) : 68 -75 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251203005
Xiao-Yan SUN, Li-Yan KONG, Hong-Hong ZHANG, Shu-Yuan XIAO, Shuo QIU, Peng-Yu LIU. Research progress on the application of spectroscopy and intelligent sensing technology in identification of vegetable oil adulteration[J]. Journal of Food Safety & Quality, 2026 , 17 (8) : 68 -75 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251203005
Year 2026 volume 17 Issue 8
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20251203005
  • Receive Date:2025-12-03
  • Online Date:2026-11-05
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  • Received:2025-12-03
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    Shenyang Institute for Food and Drug Control, Shenyang 110122, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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