Excessive residues of the carbendazim pesticide in food will cause food safety issues. Particularly, cucumber is one of the common vegetables with carbendazim residues. This study, using fluorescence spectroscopy technology, explored the residues of carbendazim in cucumbers. First, a fluorescence spectrophotometer was used to scan and obtain the three-dimensional fluorescence spectra of carbendazim standard and four carbendazim formulations. Analyzing and comparing their respective fluorescence characteristics, fluorescence peak 1: =245/300–320 nm and fluorescence peak 2: =280/300–320 nm have been identified as the fluorescence characteristic peaks of carbendazim, and the optimal excitation wavelengths =245 nm and =280 nm with carbendazim specificity was screened. Subsequently, two-dimensional fluorescence spectroscopy was performed on the carbendazim and cucumber-carbendazim mixed solutions using the optimal excitation wavelength. In order to obtain more effective two-dimensional spectral data, the original fluorescence spectrum of the cucumber-carbendazim mixed solution was subjected to Blank Correction (BC), significantly reducing the impact of cucumber's own fluorescent characteristics on the carbendazim fluorescent peak in the mixed solution. Polynomial models and linear prediction models were developed based on the concentration of carbendazim and the fluorescence peak intensity values obtained after BC. The detection limit value of carbendazim residues in the cucumber-carbendazim mixed system included the maximum pesticide residue limit specified by national food safety regulations. This research provides valuable data and technical support for efficient detection of pesticide residues in cucumbers.

中文翻译：

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基于BC的荧光光谱法检测黄瓜汁中多菌灵残留

食品中多菌灵农药残留超标会引发食品安全问题。特别是黄瓜是常见的多菌灵残留蔬菜之一。本研究采用荧光光谱技术，探讨了黄瓜中多菌灵的残留情况。首先利用荧光分光光度计扫描获得多菌灵标准品和四种多菌灵制剂的三维荧光光谱。分析比较各自的荧光特征，确定荧光峰1：=245/300~320 nm和荧光峰2：=280/300~320 nm为多菌灵的荧光特征峰，最佳激发波长=245 nm筛选出具有多菌灵特异性的=280 nm。随后，利用最佳激发波长对多菌灵和黄瓜-多菌灵混合溶液进行二维荧光光谱分析。为了获得更有效的二维光谱数据，对黄瓜-多菌灵混合溶液的原始荧光光谱进行了空白校正（BC），显着降低了黄瓜自身荧光特性对混合溶液中多菌灵荧光峰的影响。根据多菌灵浓度和BC后获得的荧光峰强度值建立了多项式模型和线性预测模型。黄瓜-多菌灵混合体系中多菌灵残留检出限值包含国家食品安全法规规定的农药残留最高限量。该研究为黄瓜农药残留的高效检测提供了有价值的数据和技术支持。