Journal of Food Composition and Analysis最新文献

Europium-grafted copper nanoclusters: a sensitive fluorescence visualization strategy for tetracycline detection in food 铕接枝铜纳米团簇：食品中四环素检测的灵敏荧光可视化策略

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-03 DOI: 10.1016/j.jfca.2025.108727

Ning Bi , Lixiao Sun , Meihua Hu , Yahua Xi , Jun Xu , Jian Gou , Lei Jia

A visualization platform for sensitive detection of tetracycline (TC) based on europium-grafted copper nanocluster (Cu NCs-Cit-Eu) nanoprobe was constructed. Upon introducing TC, TC chelated with Eu^3 + through the β-diketone structure, the red fluorescence emission at 617 nm of Eu³⁺ was significantly enhanced. The blue fluorescence intensity of CuNCs at 445 nm remained stable. The ratio of two fluorescence intensities (I₆₁₇/I₄₄₅) was used as the detection signal. The ratio showed a good linear relationship with the concentration of TC in the range of 0–50 μM, and the detection limit (LOD) was 4.74 nM (2.14 μg/kg). Meanwhile, the luminescence color of the detection system changed from blue to red exposed to 365 nm UV lamp. TC concentration could be preliminarily judged only by observing the color change with the naked eye, which provided great convenience for point-of-care testing (POCT). In addition, this nanoprobe was successfully used for the detection of TC in pork, eggs, milk, and honey samples, with satisfactory results. Therefore, the nanoprobe had the advantages of simple preparation, fast response and good selectivity, and showed satisfactory results in actual sample analysis, indicating that it had excellent application prospects in the fields of environmental monitoring and food safety.

构建了基于铕接枝铜纳米簇（Cu ncs - cte - eu）纳米探针的四环素（TC）灵敏检测可视化平台。引入TC后，TC通过β-二酮结构与Eu3 +螯合，Eu3+在617 nm处的红色荧光发射明显增强。在445 nm处，cccs的蓝色荧光强度保持稳定。采用两种荧光强度之比（I617/I445）作为检测信号。该比值与TC浓度在0 ~ 50 μM范围内呈良好的线性关系，检出限为4.74 nM（2.14 μg/kg）。同时，在365 nm紫外灯下，检测系统的发光颜色由蓝色变为红色。仅通过肉眼观察颜色变化即可初步判断TC浓度，为POCT （point-of-care testing）检测提供了方便。此外，该纳米探针已成功用于猪肉、鸡蛋、牛奶和蜂蜜样品中的TC检测，结果令人满意。因此，该纳米探针具有制备简单、响应速度快、选择性好等优点，并在实际样品分析中显示出满意的结果，表明其在环境监测和食品安全领域具有良好的应用前景。

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引用次数: 0

Non-destructive identification of processing methods of Yunnan coffee beans via portable near-infrared spectrometer and lightweight MobileNetV4 便携式近红外光谱仪与轻便型MobileNetV4无损鉴别云南咖啡豆加工方法

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-03 DOI: 10.1016/j.jfca.2025.108724

Jun Sun , Xuan Xin , Yan Xin , Sunli Cong

The quality of coffee is significantly influenced by post-harvest processing methods. Conventional analytical techniques for assessing coffee quality are often destructive, time-consuming, and costly. This study explores the non-destructive identification of processing methods applied to Yunnan coffee beans using portable near-infrared (NIR) spectroscopy combined with the lightweight MobileNetV4 model. A comprehensive dataset of 3000 coffee bean samples representing five distinct processing methods was constructed. Spectral data were preprocessed using Savitzky-Golay smoothing, standard normal variate, and detrending algorithms. The proposed MobileNetV4 model, optimized with Bayesian hyperparameter tuning, achieved outstanding performance, with 98.33 % accuracy, 98.39 % precision, 98.33 % recall, and 98.33 % F1-score on the test set. Comparative experiments demonstrated that MobileNetV4 outperformed both traditional machine learning models (Support Vector Machine, Partial Least Squares-Discriminant Analysis, eXtreme Gradient Boosting) and state-of-the-art lightweight deep learning architectures (ShuffleNetV2, EfficientNetV2, GhostNet, MobileNetV3), while maintaining superior computational efficiency. The model has a compact size of 1.53 MB and required only 8 min for training. In conclusion, this research provides a rapid, non-destructive solution for identifying coffee bean processing methods, enabling real-time quality control and fraud detection across production and supply chains.

咖啡的品质受到采收后加工方法的显著影响。传统的评估咖啡质量的分析技术往往是破坏性的、耗时的、昂贵的。本研究利用便携式近红外（NIR）光谱结合轻便型MobileNetV4模型，探索云南咖啡豆加工过程的无损鉴定方法。构建了一个包含3000个咖啡豆样本的综合数据集，代表了五种不同的加工方法。使用Savitzky-Golay平滑、标准正态变量和去趋势算法对光谱数据进行预处理。本文提出的MobileNetV4模型经过贝叶斯超参数调优，在测试集上的准确率为98.33 %，精密度为98.39 %，召回率为98.33 %，f1分数为98.33 %。对比实验表明，MobileNetV4的性能优于传统的机器学习模型（支持向量机、偏最小二乘判别分析、极端梯度增强）和最先进的轻量级深度学习架构（ShuffleNetV2、EfficientNetV2、GhostNet、MobileNetV3），同时保持了卓越的计算效率。该模型具有1.53 MB的紧凑大小，只需要8 min进行训练。总之，这项研究为识别咖啡豆加工方法提供了一种快速、非破坏性的解决方案，使生产和供应链中的实时质量控制和欺诈检测成为可能。

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引用次数: 0

Effect of struvite fertilization on the nutritional value of winter wheat cultivars grown in south-western Poland in field research 施鸟粪石对波兰西南部冬小麦品种营养价值的影响

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-03 DOI: 10.1016/j.jfca.2025.108699

Anna Szuba-Trznadel , Rafał Ramut , Joanna Kamińska , Reinhard W. Neugschwandtner , Anna Jama-Rodzeńska , Bernard Gałka , Zygmunt Król , Bogusław Fuchs , Wiesław Fialkiewicz , Jan Gałka

The effects of struvite on the nutritional value and composition of winter wheat remain insufficiently explored. In a one-year field experiment, three phosphorus fertilization treatments (control, superphosphate, struvite) were compared using two wheat cultivars. Grain yield did not differ significantly between cultivars, but notable cultivar-specific variations occurred in grain P and Cu and in straw K. Phosphorus fertilization influenced grain N, K, Mg, Na, and several micronutrients (Fe, Mn, Zn). Struvite significantly increased Mg and Fe concentrations. True protein was higher in Chevignon compared to Activus, as higher values of Total AA and Total EAA were found in Chevignon), whereas crude fiber was higher in Activus. Under P fertilization, significant differences were found in CP, ADF, and CEL; CP under struvite was ∼13 % lower than under superphosphate and ∼4 % lower than in the control. Phosphorus fertilization also enhanced sulfur-containing amino acids, especially cystine and methionine content and their relative to lysine (as LYS = 100 %). Chevignon showed higher total and essential amino acid content. Overall, struvite maintained yield and improved grain quality—particularly Mg, Fe, and some amino acids—indicating potential as a sustainable fertilizer, despite results being limited to a single season on acidic soil.

鸟粪石对冬小麦营养价值和成分的影响尚未得到充分的研究。在为期一年的田间试验中，以2个小麦品种为试验对象，比较了3种磷肥处理（对照、过磷酸钙、鸟粪石）的差异。籽粒产量在不同品种间差异不显著，但籽粒P、Cu和秸秆K在不同品种间存在显著差异。施磷影响籽粒N、K、Mg、Na和几种微量元素（Fe、Mn、Zn）。鸟粪石显著提高Mg和Fe浓度。其总AA和总EAA值高于芜菁，其真蛋白含量高于芜菁，而粗纤维含量高于芜菁。施磷处理下，CP、ADF、CEL差异显著；鸟粪石处理的CP比过磷酸钙处理低~ 13 %，比对照低~ 4 %。施磷也提高了含硫氨基酸的含量，尤其是胱氨酸和蛋氨酸的含量及其相对赖氨酸的含量（赖氨酸= 100 %）。Chevignon的总氨基酸和必需氨基酸含量较高。总的来说，鸟粪石保持了产量并改善了粮食质量——特别是镁、铁和一些氨基酸——表明了作为一种可持续肥料的潜力，尽管结果仅限于酸性土壤的单一季节。

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引用次数: 0

Fatty acid composition and cholesterol distribution in edible tissues of long-horned Ankole cattle 长角踝牛食用组织中脂肪酸组成及胆固醇分布

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-03 DOI: 10.1016/j.jfca.2025.108725

Joseph Wanyama , Justus Kwetegyeka , Hannington Twinomuhwezi , Timothy Omara , Ivan Kiganda

Ankole cattle is a vital genetic resource and an economic asset in East and Central Africa, usually reared for their beef and milk. For the first time, the total lipid content, fatty acid composition and cholesterol concentration in beef of Ugandan long-horned Ankole cattle were determined using gas chromatography-mass spectrometry and high performance liquid chromatography. Significant variations in the total lipid content, fatty acid composition and cholesterol concentration were observed among the different samples, with the liver and kidneys possessing the highest values (P < 0.05). The fatty acid composition followed the order: monounsaturated fatty acids> saturated fatty acids > polysaturated fatty acids. Nutritional indices indicated that the kidney, liver, and heart had better fatty acid compositions. In contrast, the rib, large intestine, and chuck had higher atherogenic and thrombogenic indices, which may be associated with increased risks of cardiovascular diseases when consumed.

在东非和中非，安科勒牛是一种重要的遗传资源和经济资产，饲养它们通常是为了获得牛肉和牛奶。首次采用气相色谱-质谱联用和高效液相色谱法测定了乌干达长角Ankole牛牛肉的总脂肪含量、脂肪酸组成和胆固醇浓度。不同样品的总脂含量、脂肪酸组成和胆固醇浓度存在显著差异，其中肝脏和肾脏最高（P <； 0.05）。脂肪酸组成顺序为：单不饱和脂肪酸>； 饱和脂肪酸>； 聚饱和脂肪酸。营养指标表明，肾脏、肝脏和心脏具有较好的脂肪酸组成。相反，肋骨、大肠和chuck有较高的动脉粥样硬化和血栓形成指数，这可能与食用时心血管疾病的风险增加有关。

引用次数: 0

Occurrence, characterization, and removal efficiency of microplastics in point-of-use drinking water systems: A case study in Dogonbadan, Iran 在使用点饮用水系统中的微塑料的发生，表征和去除效率：在伊朗Dogonbadan的案例研究

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-03 DOI: 10.1016/j.jfca.2025.108710

Nesa Cheriki , Mohammad Mehdi Baneshi , Narges Roustaei , Ebrahim Sharifpour , Asma Siavashpour , Mohsen Naghmachi , Soheila Rezaei

The presence of microplastic in drinking water has garnered increasing attention due to their widespread occurrence. This study aimed to assess the presence, characteristics, and removal efficiency of MPs in point-of-use water treatment systems (POU-WTS) in Dogonbadan, Iran. A total of 90 samples were collected from the inlets and outlets of various POU-WTS. These samples were analyzed using μ-Raman spectroscopy to quantify and identify MPs based on their abundance, morphological characteristics, and polymer types. Additionally, physicochemical and microbial parameters were evaluated using standard reference methods. The average MPs abundance in the inlet and outlet water of POU-WTS was 11.66 ± 4.30 MPs/L and 20 ± 9.43 MPs/L, respectively. The results showed that polycarbonate and polypropylene were the most abundant polymers identified among the MPs. Physicochemical parameters in the inlet water of the POU-WTS were within the permissible limits established by the World Health Organization (WHO). However, the outlet water from the POU-WTS exhibited reductions in beneficial ions such as fluoride, calcium, magnesium, and residual free chlorine. Furthermore, the increase in MPs at the outlet of the POU-WTS, along with adverse effects such as softened water, fluoride deficiency, and wastage of drinking water, suggests that the use of POU-WTS in Dogonbadan is not recommended.

饮用水中微塑料的存在由于其广泛存在而引起了越来越多的关注。本研究旨在评估伊朗Dogonbadan使用点水处理系统（power - wts）中MPs的存在、特征和去除效率。从各污水处理厂的入口和出口共采集了90份样本。利用μ-拉曼光谱对这些样品进行定量分析，并根据其丰度、形态特征和聚合物类型对MPs进行鉴定。此外，采用标准参考方法对理化和微生物参数进行了评价。pouw - wts进水和出水MPs丰度平均值分别为11.66 ± 4.30 MPs/L和20 ± 9.43 MPs/L。结果表明，聚碳酸酯和聚丙烯是MPs中含量最多的聚合物。污水处理厂进水理化参数均在世界卫生组织规定的允许范围内。然而，从pouw - wts流出的水显示出有益离子，如氟化物，钙，镁和剩余游离氯的减少。此外，污水处理系统出口MPs的增加，以及水软化、氟化物缺乏和饮用水浪费等不利影响表明，不建议在多贡八丹使用污水处理系统。

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引用次数: 0

Rapid differentiation of Atractylodes chinensis and Atractylodes japonica using FT-IR spectroscopy, HPLC combined with Machine Learning 傅里叶变换红外光谱、高效液相色谱结合机器学习快速鉴别白术

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-02 DOI: 10.1016/j.jfca.2025.108715

Zicheng Ma , Xiaoran Zhao , Ruimeng Zhao , Huixian Qing , Yu Yin , Mengjie Lv , Yuyang Zhu , Lili Sun , Meiling Chen , Xiaoliang Ren

Atractylodes japonica is frequently confused with or used as a substitute for Atractylodes chinensis in commercial products due to their morphological similarities, posing risks to product quality and safety. This study developed a rapid, multi-platform approach to differentiate these two species using Fourier Transform infrared (FT-IR) spectroscopy, high-performance liquid chromatography (HPLC), and machine learning. First, FT-IR data (81 spectra × 967 variables) were processed using multiple preprocessing techniques and the random frog algorithm, which selected 87 key spectral features. Based on these features, machine learning models including Extreme Learning Machine (ELM), Support Vector Machine (SVM), and Random Forest (RF) achieved 100 % classification accuracy. The robustness of this approach was further validated by correctly classifying an external data set of 54 unknown mixed samples. Furthermore, HPLC fingerprinting combined with chemometrics identified five differential chemical markers. Models built using only these five markers also achieved 100 % classification accuracy. This integrated FT-IR and HPLC strategy offers a robust and interpretable solution for authenticating Atractylodes chinensis, significantly improving quality control and preventing adulteration in functional foods and herbal products.

由于形态相似，日本苍术在商业产品中经常与中国苍术混淆或被用作替代品，给产品质量和安全带来风险。本研究开发了一种快速、多平台的方法，使用傅里叶变换红外（FT-IR）光谱、高效液相色谱（HPLC）和机器学习来区分这两种物种。首先，利用多种预处理技术和随机蛙算法对81个光谱× 967个变量的FT-IR数据进行处理，筛选出87个关键光谱特征；基于这些特征，包括极限学习机（ELM）、支持向量机（SVM）和随机森林（RF）在内的机器学习模型实现了100% %的分类准确率。通过正确分类54个未知混合样本的外部数据集，进一步验证了该方法的鲁棒性。此外，HPLC指纹图谱结合化学计量学鉴定出5种不同的化学标记。仅使用这五个标记构建的模型也达到了100% %的分类准确率。该综合FT-IR和HPLC策略为白术的鉴定提供了可靠且可解释的解决方案，显著提高了功能食品和草药产品的质量控制和防止掺假。

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引用次数: 0

Tissue-specific accumulation of anti-inflammatory flavonoids in Rhododendron micranthum leaves 微杜鹃叶片中抗炎类黄酮的组织特异性积累

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-02 DOI: 10.1016/j.jfca.2025.108714

Chang-Dae Lee , Hak-Dong Lee , Ah Young Lee , Mi-Jin Jeong , Kyung Choi , Jungmok Kang , Yong-Woo Park , Daeho Choi , Sanghyun Lee

Rhododendron micranthum is a plant of traditional medicinal significance, commonly used to treat various inflammation- and respiratory-related conditions. Despite its known therapeutic value, comprehensive phytochemical profiling of its different tissues remains limited. Therefore, this study aimed to analyze and compare the distribution of phytochemicals in the leaves and stems of R. micranthum and to validate their corresponding anti-inflammatory properties. The phytochemical distribution was analyzed using high-performance liquid chromatography and liquid chromatography–electrospray ionization mass spectrometry. The anti-inflammatory activity was assessed by measuring nitric oxide (NO) production in lipopolysaccharide-stimulated RAW 264.7 macrophage cells. The leaves were found to be significantly enriched in flavonoids, while the stems accumulated higher levels of triterpenoids and coumarins, and exhibited higher flavonoid content than stems. The anti-inflammatory potential of these compounds was validated in lipopolysaccharide-stimulated RAW 264.7 macrophages, where leaf-enriched compounds, particularly trifolin (3) and avicularin (4), significantly inhibited NO production. These findings highlight the metabolic specialization of R. micranthum leaves and suggest their greater potential as a source of bioactive compounds for nutraceutical and cosmetic application.

微矢杜鹃是一种具有传统药用意义的植物，通常用于治疗各种炎症和呼吸相关疾病。尽管其已知的治疗价值，其不同组织的综合植物化学分析仍然有限。因此，本研究旨在分析和比较小红花叶和茎中植物化学物质的分布，并验证其相应的抗炎特性。采用高效液相色谱法和液相色谱-电喷雾质谱法分析了植物化学成分的分布。通过测量脂多糖刺激的RAW 264.7巨噬细胞中一氧化氮（NO）的产生来评估其抗炎活性。叶片中黄酮类化合物含量显著高于茎，而茎中三萜和香豆素含量较高，黄酮类化合物含量高于茎。这些化合物的抗炎潜力在脂多糖刺激的RAW 264.7巨噬细胞中得到了验证，其中富含叶子的化合物，特别是trifolin(3)和avicularin(4)，显著抑制NO的产生。这些发现突出了小黄叶的代谢专门化，并表明其作为营养保健和化妆品应用的生物活性化合物的更大潜力。

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引用次数: 0

Investigation of trace metal accumulation in tobacco leaves from agricultural sites using TXRF spectrometry: Assessment of human health risks and potential sources 利用TXRF光谱法调查农业场所烟叶中痕量金属积累：评估人体健康风险和潜在来源

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-02 DOI: 10.1016/j.jfca.2025.108713

Manjunatha, A.S. Bennal

In recent decades, the widespread use of fertilisers and pesticides in modern agriculture has significantly increased crop yields. However, this practice has raised concerns about soil contamination with heavy metals and toxic elements. Tobacco plants are particularly effective at absorbing these elements from contaminated soils, and their accumulation in tobacco has become a significant global concern due to potential risks to human health and environmental sustainability. This study employed a highly sensitive benchtop total reflection X-ray fluorescence (TXRF) spectrometry to quantify heavy metals and toxic elements in tobacco leaves harvested from various agricultural sites in northern Karnataka, India. Additionally, a human health risk assessment was conducted for these elements, and a chemometric analysis was performed to identify potential sources of contamination. The results revealed that the mean concentrations (mg kg⁻¹ in dry weight) of Mn, Cr, Cd, and Pb exceeded the WHO/FAO recommended limits. The hazard index (HI) of Mn (1.77 ×10⁻⁰³) indicates a slight risk of non-carcinogenic effects. According to the total excess lifetime cancer risk (TELCR), the analysed trace metal elements in tobacco leaves do not pose a significant carcinogenic risk. These findings emphasise the need for consistent monitoring and regulation of trace elements in tobacco to mitigate associated health risks.

近几十年来，现代农业中化肥和农药的广泛使用大大提高了作物产量。然而，这种做法引起了人们对重金属和有毒元素污染土壤的担忧。烟草植物在从受污染的土壤中吸收这些元素方面特别有效，由于对人类健康和环境可持续性的潜在风险，它们在烟草中的积累已成为全球关注的一个重大问题。本研究采用高灵敏度台式全反射x射线荧光（TXRF）光谱法定量测定印度卡纳塔克邦北部不同农业场所收获的烟叶中的重金属和有毒元素。此外，还对这些元素进行了人类健康风险评估，并进行了化学计量学分析，以确定潜在的污染源。结果表明，Mn、Cr、Cd和Pb的平均浓度（干重mg kg−1）超过了WHO/FAO建议的限值。Mn的危害指数（HI）为1.77 ×10−03，提示有轻微的非致癌性风险。根据总超额寿命癌症风险（TELCR），分析烟叶中的微量金属元素不构成显著的致癌风险。这些发现强调需要持续监测和管理烟草中的微量元素，以减轻相关的健康风险。

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引用次数: 0

Characterization of hot air drying behavior and dynamic moisture prediction in goji berries using LF NMR 枸杞热风干燥特性表征及动态水分预测的LF NMR研究

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-02 DOI: 10.1016/j.jfca.2025.108716

Keke Ding, Peijing Wu, Botong Li, Fengli Jiang, Bingxin Sun

This study investigated moisture migration in goji berries (Lycium barbarum L.) during drying using low-field nuclear magnetic resonance (LF NMR) and magnetic resonance imaging (MRI). Drying was conducted at 45, 50, 55, 60, and 65 °C, with relaxation spectra and proton density-weighted images collected to characterize internal moisture distribution and phase transitions. The results showed that increasing temperature significantly shortened drying time and enhanced effective moisture diffusion, thereby accelerating the diffusion and interconversion of free, immobilized, and bound water within goji berries. MRI revealed that water was mainly concentrated in the fruit center, showing an inward-to-outward diffusion pattern. Among six drying kinetic models, the Page model best described moisture loss, with a coefficient of determination (R²) of 0.9964 and a mean coefficient of variation of 0.2594. LF NMR relaxation parameters and color features (L*, a*, b*) were used to construct partial least squares regression (PLSR) and convolutional neural networks (CNN) models to predict the dry basis moisture content. The CNN model performed excellently, achieving a prediction set R² of 0.9646 and a root mean square error (RMSE) of 0.3170, outperforming the PLSR model. Overall, LF NMR combined with deep learning provides accurate prediction, thereby supporting optimization and control of goji berry drying.

采用低场核磁共振（LF NMR）和磁共振成像（MRI）技术对枸杞干燥过程中的水分迁移进行了研究。在45、50、55、60和65°C下进行干燥，收集弛豫光谱和质子密度加权图像来表征内部水分分布和相变。结果表明：温度的升高显著缩短了枸杞果实的干燥时间，增强了水分的有效扩散，从而加速了枸杞果实中游离水、固定化水和结合水的扩散和相互转化；MRI显示水分主要集中在果实中心，呈向内向外扩散的模式。6种干燥动力学模型中，Page模型对水分损失的描述最好，其决定系数（R2）为0.9964，平均变异系数为0.2594。利用LF NMR松弛参数和颜色特征（L*, a*, b*）构建偏最小二乘回归（PLSR）和卷积神经网络（CNN）模型来预测干基含水量。CNN模型表现优异，预测集R2为0.9646，均方根误差（RMSE）为0.3170，优于PLSR模型。总体而言，LF NMR结合深度学习提供了准确的预测，从而支持枸杞干燥的优化和控制。

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引用次数: 0

A high-throughput method for the detection of glyphosate analogs in tea beverages and its application to real samples 茶饮料中草甘膦类似物的高通量检测方法及其在实际样品中的应用

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2025-12-01 DOI: 10.1016/j.jfca.2025.108674

Hao Zhang, Xinnan Wang, Juan Wei, Wenliang Ji, Run Yang

A high-throughput LC-MS/MS method has been developed to determine glyphosate, glufosinate, and their metabolites (aminomethylphosphonic acid, N-acetyl aminomethylphosphonic acid, and N-acetyl glufosinate) in tea beverages. An anionic polar pesticide column was used for separation. Methylenediphosphonic acid served as a passivator in the aqueous mobile phase to improve the tailing peaks of glyphosate and aminomethyl phosphoric acid. Isotope internal standards and multiple reaction monitoring (MRM) mode were employed in quantification to ensure reliability and sensitivity. The validation process yielded robust results, with a linear range of 1–100 μg/L for all target compounds and correlation coefficients exceeding 0.99. Recovery rates ranged from 88.5 % to 116.4 % for all target compounds in two tea beverage matrixes (milk tea beverages and non-milk tea beverages) at four spiked concentration levels (5 µg/L, 10 µg/L, 40 µg/L, and 80 µg/L), with relative standard deviations of less than 15 %. The LOQs were set at 5 μg/L according to the SANTE 11312/2021 v2 guideline. The tailing peaks of glyphosate and aminomethyl phosphonic acid were improved by 15 µmol/L methylenediphosphonic acid in the aqueous mobile phase. The method was applied to analyze 171 real samples. Only six commercially available products provided positive results in glyphosate, with a range of <LOQ∼7.3 µg/L. The results suggest that consumption is safe with respect to exposure to these substances. The peak shape and sensitivity of the analytes were improved by the application of a passivator in the aqueous mobile phase.

建立了测定茶饮料中草甘膦、草铵膦及其代谢物（氨基甲基膦酸、n -乙酰氨基甲基膦酸和n -乙酰基草铵膦酸）的高通量LC-MS/MS方法。采用阴离子极性农药柱进行分离。在水流动相中，亚二膦酸作为钝化剂，改善了草甘膦和氨基甲基磷酸的尾峰。采用同位素内标和多反应监测（MRM）模式进行定量，保证了定量的可靠性和灵敏度。验证结果可靠，所有目标化合物的线性范围为1 ~ 100 μg/L，相关系数均大于0.99。在5 µg/L、10 µg/L、40 µg/L和80 µg/L 4个加标浓度下，两种茶饮料基质（奶茶饮料和非奶茶饮料）中所有目标化合物的回收率为88.5 % ~ 116.4 %，相对标准偏差小于15 %。根据SANTE 11312/2021 v2指南设定loq为5 μg/L。15µmol/L的亚甲二膦酸改善了水流动相中草甘膦和氨基甲基膦酸的尾峰。应用该方法对171个实际样品进行了分析。只有6种市售产品对草甘膦的检测结果呈阳性，其LOQ范围为<；结果表明，就接触这些物质而言，食用是安全的。在水流动相中加入钝化剂可改善分析物的峰形和灵敏度。

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引用次数: 0