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Evaluation and analysis of rapid detection products for tropical fruit
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Cong-Ling HUANG1, 2, 3, Yan CHEN1, 2, 3, Jian-Xiang HUANG1, 2, 3, Ze-Miao XIAO1, 2, 3, Gang WANG1, 2, 3, Kai WAN1, 2, 3, 4, Xue-Mei TANG1, 2, 3, *
Journal of Food Safety & Quality | 2026, 17(10) : 175 - 185
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Journal of Food Safety & Quality | 2026, 17(10): 175-185
• Special Topic: Rapid Detection Technology for Food Safety •
Evaluation and analysis of rapid detection products for tropical fruit
Full
Cong-Ling HUANG1, 2, 3, Yan CHEN1, 2, 3, Jian-Xiang HUANG1, 2, 3, Ze-Miao XIAO1, 2, 3, Gang WANG1, 2, 3, Kai WAN1, 2, 3, 4, Xue-Mei TANG1, 2, 3, *
Affiliations
  • 1.Institute of Quality Standard and Monitoring Technology for Agro-products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
  • 2.Guangdong Provincial Key Laboratory of Quality & Safety Risk Assessment for Agro-products, Guangzhou 510640, China
  • 3.Key Laboratory of Testing and Evaluation for Agro-product Safety and Quality, Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
  • 4.Guangdong Agricultural Monitoring Technology Co., Ltd., Guangzhou 510640, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20251226004
Outline
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Objective

To evaluate and analyze the rapid detection products for tropical fruit.

Methods

The representative tropical fruits (litchi, banana, mango) were selected as the research objects, and the mainstream colloidal gold rapid detection products for common risk factors were selected. The quality of the products was evaluated and verified by 2 kinds of methods: Laboratory standard blind sample evaluation and actual sample verification. It mainly investigated the false positive rate, false negative rate, product type, brand difference and so on.

Results

A total of 98 rapid detection products participated in the blind sample evaluation with additional standards, with a matching rate of 46.9%; 26 products participated in the actual sample verification, with a matching rate of 42.3%. Among the 16 different batch numbers of the same product that participated in the verification by 2 kinds of methods, 9 results were consistent, accounting for 56.3%. Overall, the matching rate of single-card was higher than that of multi-card, and the false negative rate exceeding 5% was the main reason for the inaccuracy of tropical fruit rapid testing products, which also showed significant brand differences.

Conclusion

The total matching rate of rapid detection products for tropical fruits is relatively low. It is necessary to increase research and development efforts, improve product quality and perfect the product evaluation system. This paper can provide data support and theoretical reference for the optimization, standard formulation and scientific application of rapid testing technology for the quality and safety of tropical fruit.

tropical fruit  /  pesticide residues  /  rapid detection  /  quality evaluation
黄聪灵, 陈炎, 黄健祥, 肖泽苗, 王刚, 万凯, 唐雪妹. 热带水果快速检测产品评价与分析. 食品安全质量检测学报, 2026 , 17 (10) : 175 -185 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251226004
Cong-Ling HUANG, Yan CHEN, Jian-Xiang HUANG, Ze-Miao XIAO, Gang WANG, Kai WAN, Xue-Mei TANG. Evaluation and analysis of rapid detection products for tropical fruit[J]. Journal of Food Safety & Quality, 2026 , 17 (10) : 175 -185 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251226004
Year 2026 volume 17 Issue 10
9
2
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Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20251226004
  • Receive Date:2025-12-26
  • Online Date:2026-11-05
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  • Received:2025-12-26
Funding
Affiliations
    1.Institute of Quality Standard and Monitoring Technology for Agro-products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
    2.Guangdong Provincial Key Laboratory of Quality & Safety Risk Assessment for Agro-products, Guangzhou 510640, China
    3.Key Laboratory of Testing and Evaluation for Agro-product Safety and Quality, Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
    4.Guangdong Agricultural Monitoring Technology Co., Ltd., Guangzhou 510640, 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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