Daniela Lupu , Mohamad Subhi Sammani , Edwin Palacio , Gabriel Hancu , Laura Ferrer
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Utilizing a Phenomenex Kinetex RP-18 column (5 µm, 150 × 4.6 mm i.d.), with a mobile phase containing water and methanol (95:5, v/v) in gradient mode, at a flow rate of 1 mL/min, and UV detection at 284 nm, the method achieved rapid and efficient separation within 10 minutes, with a low detection limit of 0.03 mg L<sup>−1</sup>, and demonstrated good linearity, precision and recovery rates. The carbohydrate composition of honey, specifically glucose, fructose, saccharose, and maltose, was analysed using a HPLC with refractive index detection (HPLC-RI) method, using a Phenomenex Luna Omega Sugar column (3 µm, 250 ×4.6 mm i.d.), with a mobile phase composed of acetonitrile and water (85:15, v/v). This analytical protocol, incorporating the quantification of maltose, a critical yet often overlooked sugar, significantly bolsters the standard evaluation framework for honey authenticity. DA, a crucial enzymatic indicator, was assessed via the Schade method, providing additional insights into the enzymatic integrity and freshness of the honey samples. The methods were applied to analyse 65 commercial Spanish honey samples, revealing significant compliance with EU regulatory standards, yet also uncovering situations of potential adulteration. 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引用次数: 0
摘要
确保蜂蜜的真实性和质量对保障消费者健康和打击食品欺诈至关重要。对蜂蜜质量的主要分析包括测定弹性蛋白酶活性(DA)、5-羟甲基糠醛(HMF)和碳水化合物成分。我们开发了一种新型高效液相色谱-二极管阵列检测(HPLC-DAD)方法,用于精确定量检测蜂蜜质量和降解的关键指标--HMF。该方法采用Phenomenex Kinetex RP-18色谱柱(5 µm,150×4.6 mm i.d.),以水和甲醇(95:5, v/v)为流动相进行梯度洗脱,流速为1 mL/min,紫外检测波长为284 nm。采用高效液相色谱-折光检测法(HPLC-RI)分析了蜂蜜中的碳水化合物成分,特别是葡萄糖、果糖、糖和麦芽糖,使用的色谱柱为 Phenomenex Luna Omega Sugar(3 µm,250 ×4.6 mm i.d.),流动相为乙腈和水(85:15, v/v)。该分析方案结合了麦芽糖(一种重要但经常被忽视的糖类)的定量分析,大大加强了蜂蜜真实性的标准评估框架。DA是一种重要的酶指标,通过 Schade 方法进行评估,可进一步了解蜂蜜样品的酶完整性和新鲜度。这些方法被用于分析 65 个西班牙商业蜂蜜样本,结果显示这些样本明显符合欧盟监管标准,但也发现了潜在的掺假情况。这项研究为彻底评估蜂蜜样本提供了改进的可靠技术,为正在进行的食品安全讨论增添了新的内容。
Comprehensive honey analysis: A novel HPLC-DAD method for hydroxymethylfurfural quantification and quality evaluation via diastase activity and sugar profile determination
Ensuring the authenticity and quality of honey is essential to safeguarding consumer health and combating food fraud. The primary analyses for honey quality involve determining diastase activity (DA), 5-hydroxymethylfurfural (HMF), and carbohydrate composition. A new high-performance liquid chromatography coupled with diode array detection (HPLC-DAD) method was developed, for the precise quantification of HMF, a key marker of honey quality and degradation. Utilizing a Phenomenex Kinetex RP-18 column (5 µm, 150 × 4.6 mm i.d.), with a mobile phase containing water and methanol (95:5, v/v) in gradient mode, at a flow rate of 1 mL/min, and UV detection at 284 nm, the method achieved rapid and efficient separation within 10 minutes, with a low detection limit of 0.03 mg L−1, and demonstrated good linearity, precision and recovery rates. The carbohydrate composition of honey, specifically glucose, fructose, saccharose, and maltose, was analysed using a HPLC with refractive index detection (HPLC-RI) method, using a Phenomenex Luna Omega Sugar column (3 µm, 250 ×4.6 mm i.d.), with a mobile phase composed of acetonitrile and water (85:15, v/v). This analytical protocol, incorporating the quantification of maltose, a critical yet often overlooked sugar, significantly bolsters the standard evaluation framework for honey authenticity. DA, a crucial enzymatic indicator, was assessed via the Schade method, providing additional insights into the enzymatic integrity and freshness of the honey samples. The methods were applied to analyse 65 commercial Spanish honey samples, revealing significant compliance with EU regulatory standards, yet also uncovering situations of potential adulteration. This research adds to the ongoing discussions on food safety by offering improved and dependable techniques for thoroughly assessing honey samples.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.