中红外光谱技术应用于蜂蜜掺假预判的研究

由于蜂蜜蜜种多,成分复杂,加之蜂蜜掺假方式繁多,采用传统的方式很难对蜂蜜进行快速准确的鉴别。通过对国内多个地区的蜂蜜进行调研,采集来自全国20个省份多个蜜种的蜂蜜,利用中红外光谱仪对样品进行光谱扫描,采用主成分分析和聚类分析的方法,利用化学计量软件进行模型的建立。该识别模型不仅能较准确地判别蜂蜜是否掺假(准确率为95.36%),还能对添加量在10%以上的掺假方式进行预判,判别准确率为97.78%,符合判别模型的建立要求。利用中红外光谱技术对蜂蜜掺假进行鉴别的方法有效、可行。     

毛细管电泳电化学发光法测定蜂蜜中土霉素残留量

基于土霉素对联吡啶钌(Ru(bpy)2+3)的电化学发光(ECL)信号的增强效应,建立了毛细管电泳-电化学发光法(CE-ECL)测定土霉素的新方法。利用场放大效应将检测灵敏度提高了3.5倍,最佳检测电位为1.22 V,运行缓冲液为8 mmol·L-1硼砂溶液(p H 8.0),进样时间及电压分别为6 s和10 k V。在优化条件下,土霉素可在9 min内检出,其线性范围为20~200μg·L-1,相关系数为0.995 3,仪器检出限(S/N=3)为5μg·L-1;5次测定100μg·L-1土霉素溶液的ECL信号和迁移时间的日内重现性分别为2.4%和2.1%,日间重现性分别为3.6%和2.8%。方法用于市售蜂蜜中土霉素残留的测定,在200,1 000,2 000μg·kg-1加标浓度下的回收率为91.5%~105.2%。方法检出限(LOD,S/N=3)为10μg·kg-1,低于食品中土霉素的最大残留限值(MRL)。结果表明该方法在食品分析中具有一定的应用价值。     

盐析辅助均相液液萃取/分散固相萃取-超高效液相色谱串联质谱法测定蜂蜜中新烟碱类农药残留

以盐析辅助均相液液萃取结合分散固相萃取作为前处理方法,建立了超高效液相色谱串联质谱快速检测蜂蜜中吡虫啉、噻虫嗪、噻虫胺、噻虫啉、啶虫脒及氯噻啉6种新烟碱类农药残留的分析方法。样品用乙腈提取,氯化钠盐析分层,提取液经分散固相萃取法净化,采用超高效液相色谱串联质谱检测器进行分析。考察了萃取剂种类、体积及氯化钠质量对萃取效率的影响,评估了在优化实验条件下的基质效应和方法性能。结果表明:除吡虫啉外,其余5种新烟碱类农药的基质效应均大于10%。6种新烟碱类农药在0.2~100μg/L范围内线性关系良好,相关系数(r2)为0.998 1~0.999 7。加标浓度为1.0~50.0μg/kg时,6种新烟碱类农药的加标回收率为77.0%~106%,相对标准偏差为2.4%~19.8%。方法的检出限为0.2~0.4μg/kg,定量下限为1.0μg/kg。该方法前处理简单,分析时间短,准确度和灵敏度高,重现性好,适用于蜂蜜中6种新烟碱类农药微量残留的快速测定。     

固相萃取-液相色谱-串联质谱法同时测定蜂蜜中16种黄酮类化合物和阿魏酸

建立了固相萃取净化-液相色谱-串联质谱法（SPE-LC-MS/MS）同时测定蜂蜜中芦丁、杨梅素、桑黄素、槲皮素、柚皮素、橙皮素、木犀草素、染料木素、山柰酚、异鼠李素、芹菜素、松属素、汉黄芩素、白杨素、高良姜素、芫花素和阿魏酸含量的方法。蜂蜜经pH 2的盐酸溶液稀释,C₁₈固相萃取柱净化,液相色谱-串联质谱法检测,外标法定量。以空白蜂蜜基质溶液配制0~200 μg/kg的系列标准溶液,线性相关系数大于0.997,方法定量限为20 μg/kg。在蜂蜜样品中进行加标水平为20、40、100 μg/kg的添加回收试验,回收率为64.5%~113%,相对标准偏差为1.4%~14.5%。该方法取样量少、操作简便、快捷,可用于蜂蜜中黄酮类化合物的测定。     

液相色谱/元素分析-同位素比值质谱联用法鉴定蜂蜜掺假

采用液相色谱/元素分析-同位素比值质谱联用法(LC/EA-IRMS)对国内蜂蜜掺假情况进行了研究。基于测定得到的38个纯正蜂蜜样品的碳同位素δ13C值数据,提出了纯正蜂蜜样品的δ13C值要求: 蛋白质和蜂蜜的δ13C差值(Δδ13CP-H)≥~0.95‰,果糖和葡萄糖的δ13C差值(Δδ13CF-G)在~0.64‰至0.53‰范围内,各个组分间的δ13C最大差值(Δδ13Cmax)＜2.09‰。对150个日常检测样品、蜂农和蜂蜜供应商的蜂蜜样品分别采用本文建立的LC/EA-IRMS和国家标准方法(EA-IRMS)进行鉴定,LC/EA-IRMS方法检出58个掺有C3或C4植物糖浆的阳性样品,而EA-IRMS方法仅检出7个掺有C4植物糖浆的阳性样品,可见新方法大大提高了对蜂蜜掺假的鉴别能力。     

Headspace single-drop microextraction of common pesticide contaminants in honey–method development and comparison with other extraction methods

In the present study the main factors that may influence the headspace single-drop microextraction (HS-SDME) of common pesticide contaminants (diazinon, lindane, chlorpyrifos ethyl, p,p′-DDE, and endosulfan) that may occur in honey were determined and an analytical protocol was further developed by the use of a multivariate optimization. The HS-SDME analytical method developed and two more analytical protocols for the determination of pesticides in honey: (i) by direct SDME (D-SDME), and (ii) by liquid–liquid extraction (LLE), were further validated for the determination of target analytes. The three methods were also applied in the same real honey samples and results were further discussed. By D-SDME, LODs ranged from 0.04?µg?kg^?1 for β-endosulfan to 2.40?µg?kg^?1 for diazinon and repeatability expressed as %RSD from 3 for lindane to 15 for diazinon and chlorpyrifos methyl; by HS-SDME, LODs ranged from 0.07?µg?kg^?1 for p,p′-DDE to 12.54?µg?kg^?1 for chlorpyrifos methyl and repeatability expressed as %RSD from 11 for chlorpyrifos methyl to 19 for p,p′-DDE; by LLE, LODs ranged from 0.09?µg?kg^?1 for β-endosulfan to 19.31?µg?kg^?1 for diazinon and repeatability expressed as %RSD from 6 for p,p′-DDE to 11 for lindane. For all target pesticides but p,p′-DDE that could not be recovered by D-SDME method tested. The proposed HS-SDME optimized in this study was shown to be the method of choice for the determination of diazinon in honey whereas the most favourable analytical characteristics from the comparative study performed were achieved by D-SDME.     

Enzymes Immobilized on a Tubular Reactor for Fast Amperometric Determination of Glucose in Brazilian Honey

Abstract

Glucose present in honey was rapidly determined by the differential amperometric method using two tubular reactors containing glucose oxidase and peroxidase. The linear dynamic range extends from 5 × 10^?5 to 2 × 10^?4mol L^?1, at pH 7.0. At flow rate of 1.5 mL min^?1 and injecting 150-µL sample volumes, a sampling frequency of the 33 determinations per hour is afforded. The reproducibility of the methods showed a relative standard deviation (RSD) < 4%. The detection limit of this method is 1.7 × 10^?5 mol L^?1. The samples analyses were compared with the parallel spectrophotometric determination.     

Laser-Induced Breakdown Spectroscopy: An Approach to Detect Adulteration in Turmeric

In the present paper, four turmeric samples, A, B, C, and D, were analyzed using the laser-induced breakdown spectroscopic (LIBS) technique. Laser-induced breakdown spectra of A, B, and C give the spectral lines of elements such as carbon, sodium, potassium, magnesium, calcium, iron, and molecular bands of CN, whereas spectral signatures of the toxic elements lead and chromium are also present in sample D, demonstrating the adulteration in it. Principal component analysis of the LIBS data of the turmeric samples has been used for instant discrimination. The plots and principal components provide clusters belonging to two groups, enabling laser-induced breakdown spectroscopic data along with principal component analysis to be used as an instant monitoring tool.     

Quality Control of Honey Using Infrared Spectroscopy: A Review

Abstract

Honey is a carbohydrate-rich syrup and viscous fluid produced by honeybees (Apis mellifera) from the nectar of flowers that, by definition, does not include any other substances. Honey is produced primarily from floral nectars, and fructose and glucose are the major components. Overall, the chemical composition of honey varies depending on plant source, season, production methods, and storage conditions. Analytical methods applied to honey generally deal with different topics such as determination of botanical or geographical origin, quality control according to the current standards, and detection of adulteration or residues. Traditional chemical composition analysis and physical properties assessment are routinely performed in commercial trading of honey using time-consuming analytical methods that require considerable sample preparation and analytical skills. Spectroscopic techniques in the infrared (IR) wavelength region of the electromagnetic spectrum have been used in the food industry to monitor and evaluate the composition of foods and are becoming one of the most attractive and commonly used methods of analysis. This review discusses the use, with advantages and limitations, of IR spectroscopy technologies to evaluate and monitor the composition of honey.     

应用ICP-MS测定油菜蜜、油菜花和油菜杆中微量元素

应用电感耦合等离子体质谱(ICP-MS)测定了收集于9个采样点的油菜蜜及其蜜源油菜花和油菜杆中Na,Mg,P,K,Ca,Mn,Zn,Rb,Sr和Ba等10种元素。在油菜蜜、油菜花和油菜杆中K,P,Ca,Mg和Na等五种元素含量均明显高于Zn,Rb,Mn,Sr和Ba,前五种元素含量大小顺序为K>P>Ca>Mg>Na,后五种元素含量在三者中的大小顺序则不尽相同。油菜花和油菜杆中K,P和Ca三种元素的含量均高于1 000 mg·kg-1,油菜花中P,Ca,Mn,Zn和Rb等五种元素的平均含量均高于油菜杆,可以初步推断油菜花富集元素的能力略强于油菜杆。在上述测定结果基础上,首次应用雷达图对油菜蜜及其蜜源油菜花和油菜杆中10种元素的关系进行了研究,主要是为了对将油菜花中元素含量用于蜂蜜溯源研究的可能性进行探索。从雷达图可以看出,10种元素在油菜蜜、油菜花和油菜杆中的星形基本类似。此研究为油菜蜜的相关研究提供基础数据,同时为利用油菜花中元素含量代替油菜蜜中元素含量进行油菜蜜溯源提供了一定的科学依据。