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Influences of temperature on the detection model of aflatoxin B1 in peanut oil by laser induced fluorescence spectrometry
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Ge-Fei YANG1, Min CHEN1, Xi-Rong HUANG2, Fei SHEN1, Zhong-Jun YAN3, *, Ji-Rong JIA4, Jian-Wei CHEN4
Journal of Food Safety & Quality | 2025, 16(3) : 1 - 7
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Journal of Food Safety & Quality | 2025, 16(3): 1-7
• Special Topic: Detection and Prevention and Control of Biotoxins in Food •
Influences of temperature on the detection model of aflatoxin B1 in peanut oil by laser induced fluorescence spectrometry
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Ge-Fei YANG1, Min CHEN1, Xi-Rong HUANG2, Fei SHEN1, Zhong-Jun YAN3, *, Ji-Rong JIA4, Jian-Wei CHEN4
Affiliations
  • 1. College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
  • 2. Jiangsu Province Reserve Grain Management Co., Ltd., Nanjing 215699, China
  • 3. China Reserve Grain Management Group Co., Ltd., Zhejiang Branch, Hangzhou 311500, China
  • 4. Jiangsu Grain and Oil Quality Monitoring Center, Nanjing 210031, China
Published: 2025-02-15 doi: 10.19812/j.cnki.jfsq11-5956/ts.20240920003
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Objective To detect aflatoxin B1 (AFB1) in peanut oil by laser induced fluorescence and explore the effects of temperature on the detection results. Methods The spectral information of AFB1 contaminated peanut oil at temperatures of 10, 20, 30, 40 and 50 ℃ was collected, linear discriminant analysis (LDA) model was established for qualitative analysis, and partial least squares regression model was established for quantitative analysis. Results The accuracy of the single-temperature LDA detection model in predicting samples at this single temperature exceeded 84%. The global LDA model was lower prediction accuracy than the single-temperature LDA model. The partial least squares regression (PLSR) model could not achieve quantitative prediction at either single temperature or mixed temperature. The PLSR quantitative model developed for single-variety peanut oil demonstrated optimal stability at 20 °C, yielding the most accurate sample predictions. Conclusion This study proposes that a global model can be established during qualitative discriminant analysis to adapt to the impact of temperature on the detection process. In quantitative analysis, the single temperature model can achieve more accurate predictions than the global model.

laser induced fluorescence  /  peanut oil  /  aflatoxin B1  /  temperature  /  global discriminant model
Ge-Fei YANG, Min CHEN, Xi-Rong HUANG, Fei SHEN, Zhong-Jun YAN, Ji-Rong JIA, Jian-Wei CHEN. Influences of temperature on the detection model of aflatoxin B1 in peanut oil by laser induced fluorescence spectrometry[J]. Journal of Food Safety & Quality, 2025 , 16 (3) : 1 -7 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20240920003
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Year 2025 volume 16 Issue 3
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20240920003
  • Receive Date：2024-09-20
  • Online Date：2025-07-21
  • Published：2025-02-15
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  • Received：2024-09-20
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Affiliations
    1. College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
    2. Jiangsu Province Reserve Grain Management Co., Ltd., Nanjing 215699, China
    3. China Reserve Grain Management Group Co., Ltd., Zhejiang Branch, Hangzhou 311500, China
    4. Jiangsu Grain and Oil Quality Monitoring Center, Nanjing 210031, 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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