Scientia Agricultura Sinica ›› 2026, Vol. 59 ›› Issue (4): 887-899.doi: 10.3864/j.issn.0578-1752.2026.04.014

• FOOD SCIENCE AND ENGINEERING • Previous Articles     Next Articles

Optimization of Detection Conditions for Aerobic Spore-Forming Bacillus in Honey and Analysis of Its Contamination Characteristics

YANG Fan1,2(), HU XiaoQian1,2, WANG Yu2, YUE CaiXia2, ZHANG Rui2, TIAN Wen1,2, WANG TingTing2, LI Yang2, JI MeiQuan2, ZHANG LiHui3, AN KeJing4   

  1. 1 School of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023
    2 Nanjing Customs Laboratory for Animal, Plant and Food Inspection and Quarantine, Nanjing 210019
    3 School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065
    4 Guangdong Academy of Agricultural Sciences, Guangzhou 510640
  • Received:2025-06-19 Online:2026-02-10 Published:2026-02-10
  • Contact: YANG Fan

Abstract:

【Objective】The thermostability and potential safety risks of Bacillus may pose a threat to the quality of honey products. Therefore, it is necessary to optimize the pre-treatment process for Bacillus detection in honey, to clarify the contamination characteristics of Bacillus, and to evaluate the risks in the processing chain, aiming to provide a theoretical basis for establishing a scientific and effective quality and safety control system.【Method】To improve the accuracy of Bacillus detection results in honey, this study selected a temperature range of 60-80 ℃ to carry out heat treatment experiments, and systematically explored the optimal process conditions for simultaneously achieving efficient inactivation of miscellaneous bacteria and retention of Bacillus spore concentration. Quantitative counting of Bacillus was performed on 150 commercial honey samples and 150 raw honey samples, followed by further strain isolation and purification. Meanwhile, Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) and next-generation sequencing based bacterial genome sequencing were combined to identify the species of Bacillus in honey. The species and detection rates of Bacillus in each honey sample were statistically analyzed, and food safety risk assessment was conducted accordingly. Furthermore, by simulating the honey processing procedures, the study investigated the effect of heat treatment at 40-60 ℃ on the growth of Bacillus cereus spores in honey and clarified its variation trend.【Result】Heat treatment at 80 ℃ for 10 min could completely inactivate the interfering bacteria (Escherichia coli and Saccharomyces cerevisiae) in honey, while maintaining the spore viability at the same order of magnitude. Statistical analysis was conducted on the results of Bacillus quantification and identification in 150 commercial honey samples and 150 raw honey samples. The results showed that the total detection rate of Bacillus in commercial honey was 38.7%, dominated by Bacillus cereus (20.7%), Bacillus subtilis (12.7%) and Bacillus pumilus (11.3%). By contrast, the total detection rate of Bacillus in raw honey was 23.3%, mainly including Bacillus cereus (16.7%), Bacillus pumilus (8.0%) and Bacillus licheniformis (3.3%). A comparison of the samples with the highest Bacillus concentration in commercial and raw honey indicated that all of these samples were subject to single contamination by Bacillus cereus. In addition, experiments simulating the heat treatment conditions (40-60 ℃) during honey processing demonstrated that the number of Bacillus cereus spores was positively correlated with temperature-time, namely, the spore count exhibited a significant upward trend with the increase of treatment temperature and extension of treatment duration. Correlation analysis of Bacillus species indicated that Bacillus contamination in commercial honey was primarily derived from raw honey. The detection of environmental strains indirectly demonstrated that honey was susceptible to microbial contamination throughout the whole chain, including honey collection by bees, raw honey harvesting and subsequent processing procedures.【Conclusion】Heat treatment at 80 ℃ for 10 min was identified as the optimal pre-treatment protocol for Bacillus detection in honey. Bacillus cereus was confirmed as the primary hazard bacterium in honey. It was recommended that honey production enterprises listed Bacillus as one of the core monitoring indicators for the quality control of raw honey.

Key words: honey, Bacillus, heat treatment, pollution characteristics, MALDI-TOF MS, second-generation sequencing, risk assessment, processing technology

Table 1

Types and quantities of commercial honey"

市售蜂蜜类型
Types of commercial honey
检测数量
Detection quantity
洋槐蜂蜜Robinia pseudoacacia honey 38
百花蜂蜜Mixed nectar honey 35
荆条蜂蜜Vitex negundo honey 20
枣花蜂蜜Ziziphus jujuba honey 15
椴树蜂蜜 Tilia spp. honey 11
油菜蜂蜜 Brassica napus honey 11
紫云英蜂蜂蜜Astragalus sinicus honey 9
麦卢卡蜂蜜Leptospermum scoparium honey 3
紫花苕蜂蜜Vicia villosa honey 1
益母草蜂蜜Leonurus japonicus honey 1
枇杷蜂蜜 Eriobotrya japonica honey 1
葵花蜂蜜Helianthus annuus honey 1
党参蜂蜜Codonopsis pilosula honey 1
黄芪蜂蜜Astragalus membranaceus honey 1
桂花蜂蜜Osmanthus fragrans honey 1
枸杞蜂蜜Lycium barbarum honey 1

Table 2

Type, quantity, and collection information of raw honey"

原料蜜类型
Types of raw honey
检测数量
Detection quantity
采集地址
Collection address
采集时间(年.月)
Collection time (Y.M)
椴树蜂蜜 Tilia spp. honey
12 吉林延边安图县 Antu County, Yanbian, Jilin 2023.07
8 伊春嘉荫保兴马连 Malian, Baoxing, Jiayin, Yichun 2023.07
4 伊春嘉荫东升 Dongsheng, Jiayin, Yichun 2023.07
3 伊春嘉荫保兴永丰 Yongfeng, Baoxing, Jiayin, Yichun 2023.07
洋槐蜂蜜Robinia pseudoacacia honey
11 山西灵石 Lingshi, Shanxi 2023.05
10 山西永和Yonghe, Shanxi 2023.05
7 山西大宁县 Daning County, Shanxi 2023.05
6 甘肃省泾川县 Jingchuan County, Gansu 2023.05
5 甘肃省天水市Tianshui, Gansu 2023.05
5 河北省石家庄市 Shijiazhuang, Hebei 2023.05
5 山西石楼Shilou, Shaanxi 2023.05
5 山西石楼 Shilou, Shaanxi 2023.05
4 甘肃省庆阳市 Qingyang, Gansu 2023.05
4 山西省临汾市 Linfen, Shanxi 2023.05
4 山西隰县 Xixian, Shanxi 2023.05
4 山西隰县 Xixian, Shanxi 2023.05
4 陕西麟游县 Linyou, Shaanxi 2023.05
3 河南省洛阳市 Luoyang, Henan 2023.05
3 山东省潍坊市 Weifang, Shandong 2023.05
2 山西柳林 Liulin, Shanxi 2023.05
油菜蜂蜜 Brassica napus honey
2 四川中江县 Zhongjiang, Sichuan 2024.03
1 江苏宝应 Baoying, Jiangsu 2024.04
1 江苏涟水 Lianshui, Jiangsu 2024.04
1 江苏南京 Nanjing, Jiangsu 2024.04
1 江苏泰州 Taizhou, Jiangsu 2024.04
1 江苏兴化 Xinghua, Jiangsu 2024.04
1 江苏盐城 Yancheng, Jiangsu 2024.04
枇杷蜂蜜 Eriobotrya japonica honey 16 江苏扬州 Yangzhou, Jiangsu 2024.05
枣花蜂蜜 Ziziphus jujuba honey 12 陕西省榆林市 Yulin, Shaanxi 2024.06
枸杞蜂蜜 Lycium barbarum honey 3 青海西海 Xihai, Qinghai 2023.07
山花蜂蜜 Mountain multi-floralr honey 2 青海东海 Donghai, Qinghai 2023.07

Fig. 1

The effect of different heat treatment temperatures and times on the concentration of Escherichia coli, Saccharomyces cerevisiae, and Bacillus in honey"

Fig. 2

Bacillus concentration (≥1 lg CFU/g) in 150 commercial honey samples and 150 raw honey samples"

Fig. 3

Detection rates of different Bacillus species in commercial (A) and raw (B) honey"

Fig. 4

ANI similarity heatmap of strains isolated from 4 commercial honey samples"

Table 3

Results of species identification of strains isolated from 4 commercial honey samples"

编号 No. 菌种类型 Strains Species 相似度 Similarity (%) 基因组集合组装序列 Genome Collection Assembly
1158 高地芽孢杆菌Bacillus altitudinis 98.52 GCA 028550655.1
2987 高地芽孢杆菌Bacillus altitudinis 98.45 GCA 028550655.1
1913 沙福芽孢杆菌Bacillus safensis 98.72 GCA 000828395.1
2739 沙福芽孢杆菌Bacillus safensis 99.12 GCA 015854505.1

Fig. 5

The influence of temperature and time on the spore concentration of Bacillus cereus in honey"

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doi: 10.1139/m78-214
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