Biswas Anisha, Chaudhari Sachin R
Department of Plantation Products, Spices and Flavour Technology, CSIR-Central Food Technological Research Institute, Mysuru, Karnataka 570020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Department of Plantation Products, Spices and Flavour Technology, CSIR-Central Food Technological Research Institute, Mysuru, Karnataka 570020, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Food Chem. 2024 Jul 1;445:138712. doi: 10.1016/j.foodchem.2024.138712. Epub 2024 Feb 10.
Honey, recognized for its diverse flavors and nutritional benefits, confronts challenges in maintaining authenticity and quality due to factors like adulteration and mislabelling. This review undertakes a comprehensive exploration of the utility of Near-Infrared (NIR) spectroscopy as a non-destructive analytical method for concurrently evaluating both honey quantity and authenticity. The primary purpose of this investigation is to delve into the various applications of NIR spectroscopy in honey analysis, with a specific focus on its capability to identify and quantify significant quality parameters such as sugar content, moisture levels, 5-HMF, and proline content. Results from the study underscore the effectiveness of NIR spectroscopy, especially when integrated with advanced chemometrics models. This combination not only facilitates quantification of diverse quality parameters but also enhances the classification of honey based on geographical and botanical origin. The technology emerges as a potent tool for detecting adulteration, addressing critical challenges in preserving the authenticity and quality of honey products. The impact of this critical analysis extends to shedding light on the current state, challenges, and future prospects of applying NIR spectroscopy in the honey industry. This analysis outlines the current challenges and future prospects of NIR spectroscopy in the honey industry. Emphasizing its potential to improve consumer confidence and food safety, the research has broader implications for authenticity and quality assurance in honey. Integrating NIR spectroscopy into industry practices could establish stronger quality control measures, benefiting both producers and consumers globally.
蜂蜜以其多样的风味和营养价值而闻名,但由于掺假和标签错误等因素,在保持其真实性和品质方面面临挑战。本综述全面探讨了近红外(NIR)光谱作为一种无损分析方法在同时评估蜂蜜质量和真实性方面的实用性。本研究的主要目的是深入研究近红外光谱在蜂蜜分析中的各种应用,特别关注其识别和量化重要质量参数的能力,如糖分含量、水分含量、5-羟甲基糠醛和脯氨酸含量。研究结果强调了近红外光谱的有效性,特别是与先进的化学计量学模型相结合时。这种结合不仅有助于对各种质量参数进行量化,还能加强基于地理和植物来源的蜂蜜分类。该技术成为检测掺假的有力工具,解决了保护蜂蜜产品真实性和质量方面的关键挑战。这一关键分析的影响延伸到揭示近红外光谱在蜂蜜行业的现状、挑战和未来前景。该分析概述了近红外光谱在蜂蜜行业当前的挑战和未来前景。该研究强调了其提高消费者信心和食品安全的潜力,对蜂蜜的真实性和质量保证具有更广泛的意义。将近红外光谱整合到行业实践中可以建立更强有力的质量控制措施,使全球的生产者和消费者都受益。