Centro de Investigación e Innovación en Bioingeniería (Ci2B), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Advanced Wave Sensors S.L., Calle Algepser 24, 46988 Paterna, Valencia, Spain.
Biosensors (Basel). 2022 Jun 20;12(6):433. doi: 10.3390/bios12060433.
As in the case of the food industry in general, there is a global concern about safety and quality in complex food matrices, such as honey, which is driving the demand for fast, sensitive and affordable analytical techniques across the honey-packaging industry. Although excellent techniques such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) are available, these are located in centralized laboratories and are still lacking in speed, simplicity and cost-effectiveness. Here, a new approach is presented where a competitive immunoassay is combined with a novel High Fundamental Frequency Quartz Crystal Microbalance with Dissipation (HFF-QCMD) array biosensor for the simultaneous detection of antibiotics and pesticides in honey. Concretely, thiabendazole and sulfathiazole residues were monitored in spiked honey samples. Results revealed that HFF-QCMD arrays provide a complementary and reliable tool to LC-MS/MS for the analysis of contaminants in these kinds of complex matrices, while avoiding elaborate sample pre-treatment. The good sensitivity achieved (I values in the 70-720 µg/kg range) and the short analysis time (60 min for 24 individual assays), together with the ability for multiple analyte detection (24 sensor array) and its cost-effectiveness, pave the way for the implementation of a fast on-line, in situ routine control of potentially hazardous chemical residues in honey.
就像食品行业的一般情况一样，对于复杂食品基质（如蜂蜜）中的安全和质量问题，全球都非常关注，这推动了整个蜂蜜包装行业对快速、灵敏且经济适用的分析技术的需求。尽管液相色谱-串联质谱（LC-MS/MS）等出色的技术已经存在，但这些技术都位于集中式实验室中，仍然缺乏速度、简单性和成本效益。在这里，提出了一种新方法，即将竞争性免疫测定与新型高频石英晶体微天平（HFF-QCMD）阵列生物传感器相结合，用于同时检测蜂蜜中的抗生素和农药。具体来说，监测了经过添加的蜂蜜样品中的噻菌灵和磺胺噻唑残留。结果表明，HFF-QCMD 阵列为 LC-MS/MS 分析这些复杂基质中的污染物提供了一种互补且可靠的工具，同时避免了繁琐的样品预处理。该方法具有较高的灵敏度（I 值在 70-720 µg/kg 范围内）和较短的分析时间（24 个单独测定的分析时间为 60 分钟），同时具有多分析物检测（24 个传感器阵列）的能力及其成本效益，为快速在线、原位常规控制蜂蜜中潜在有害化学残留物铺平了道路。
