Roy Lopamudra, Banerjee Amrita, Pan Nivedita, Ghosh Ria, Mondal Susmita, Das Monojit, Hasan Md Nur, Singh Soumendra, Chattopadhyay Arpita, Bhattacharyya Kallol, Mondal Soumen, Pal Samir Kumar
Technical Research Centre, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
University of Calcutta, Department of Applied Optics and Photonics, JD-2, Sector-III, Salt Lake, Kolkata, West Bengal, 700 106, India.
Heliyon. 2024 Sep 30;10(19):e38735. doi: 10.1016/j.heliyon.2024.e38735. eCollection 2024 Oct 15.
Detection of bacterial contamination in dairy products of daily use is a challenge worldwide. We have utilized Methylene Blue Reduction Test (MBRT) for quantification of the microbial count in dairy products (milk) and developed a proof-of-concept (POC) based on this for in-filed applications. In this study, we have used pasteurized milk contaminated with model bacteria , and for the calibration and validation of the developed POC. The conversion of MB to Leuco-MB i.e., the colorimetric change due to the reduction of MB to Leuco-MB in presence of microbes has been utilized as the tool to detect presence of microbes in milk. The absorbance peak for methylene blue (MB) at 664 nm decreases significantly in presence of microbes and the blue color becomes faded. In our study, we have employed methylene blue (MB) discolouration phenomenon to estimate the microbial count in milk samples using our developed spectroscopy based POC. The limit of detection (LOD) and the limit of quantitation (LOQ) of the POC were found to be 0.32 CFU/mL and 0.97 CFU/mL. The end users of the developed POC are primarily those involved in the production, processing, testing, regulation, and research of dairy products to ensure they meet safety standards and protect public health. These include retailers, dairy farmers, dairy processors, quality control laboratories, regulatory agencies and research institutions. In our experiment, we have observed a significant change in MB absorption in the milk contaminated with microbes. The indigenously developed sensor strips designed for the working of the POC turn to colorless Leuco-MB compared to milk without the microbes. The analysis of the strips has been measured in the developed device.
检测日常食用乳制品中的细菌污染是一项全球性挑战。我们利用亚甲基蓝还原试验(MBRT)对乳制品(牛奶)中的微生物数量进行定量,并基于此开发了一种用于现场应用的概念验证(POC)。在本研究中,我们使用了被模式细菌污染的巴氏杀菌牛奶,用于所开发POC的校准和验证。MB向无色亚甲基蓝的转化,即在微生物存在下MB还原为无色亚甲基蓝引起的比色变化,已被用作检测牛奶中微生物存在的工具。在微生物存在的情况下,亚甲基蓝(MB)在664nm处的吸收峰显著降低,蓝色褪色。在我们的研究中,我们利用亚甲基蓝(MB)变色现象,使用我们开发的基于光谱的POC来估计牛奶样品中的微生物数量。发现该POC的检测限(LOD)和定量限(LOQ)分别为0.32 CFU/mL和0.97 CFU/mL。所开发POC的最终用户主要是那些参与乳制品生产、加工、检测、监管和研究的人员,以确保产品符合安全标准并保护公众健康。这些人员包括零售商、奶农、乳制品加工商、质量控制实验室、监管机构和研究机构。在我们的实验中,我们观察到被微生物污染的牛奶中MB吸收有显著变化。为POC工作而专门开发的传感器条与未受微生物污染的牛奶相比,会变成无色的无色亚甲基蓝。已在开发的设备中对这些试纸条进行了分析测量。