Sivakumar Rajamanickam, Park Seo Yeon, Park Seung Kyun, Lee Nae Yoon
Department of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, 13120, Korea.
Lab Chip. 2025 Jun 24;25(13):3132-3140. doi: 10.1039/d5lc00036j.
Infectious foodborne pathogens are responsible for serious illnesses and socioeconomic losses worldwide, making early detection crucial to control excessive damage. Colorimetric loop-mediated isothermal amplification (LAMP) assays are a promising molecular detection technique that produces visually discernible color changes. However, factors such as color blindness, age, and sex can cause individuals to perceive colors differently, limiting the effectiveness of colorimetric assays. To address this, quantitative chromatic analysis was employed to reliably distinguish colors and analyze their digital images. We developed a red-green-blue (RGB) channel-based method using a smartphone application (color picker) to quantify colorimetric LAMP amplicons. Two genes, of () and of (), were investigated using LAMP, the most widely used isothermal amplification technique. In this study, the pH indicator "rosolic acid (RA)" was introduced to identify weakly buffered LAMP amplicons based on the colorimetric shift from red to yellow, and the color was quantified using the R/(R + G + B) computation. The limit of quantification was as low as 10 fg μL for and 1 fg μL for . Furthermore, the sensitivity of the proposed method was comparable to that of the traditional LAMP assay, which uses phenol red as a pH indicator. The practical application of the RA-based colorimetric LAMP assay was demonstrated by detecting the blaOXA-23-like carbapenemase gene of in saliva. Thus, the RA-mediated colorimetric LAMP assay, combined with the RGB-based quantitative approach using a smartphone APP, holds significant potential in molecular diagnostics for detecting foodborne pathogens.
食源性感染性病原体在全球范围内导致严重疾病和社会经济损失,因此早期检测对于控制过度损害至关重要。比色环介导等温扩增(LAMP)检测是一种很有前景的分子检测技术,它能产生肉眼可辨的颜色变化。然而,色盲、年龄和性别等因素会导致个体对颜色的感知不同,从而限制了比色检测的有效性。为了解决这个问题,我们采用定量色度分析来可靠地区分颜色并分析其数字图像。我们开发了一种基于红-绿-蓝(RGB)通道的方法,使用智能手机应用程序(颜色选择器)来量化比色LAMP扩增子。使用最广泛的等温扩增技术LAMP对两个基因,即()的和()的进行了研究。在本研究中,引入pH指示剂“玫红酸(RA)”,基于从红色到黄色的比色变化来识别弱缓冲的LAMP扩增子,并使用R/(R + G + B)计算对颜色进行量化。的定量限低至10 fg μL,的定量限低至1 fg μL。此外,所提出方法的灵敏度与使用酚红作为pH指示剂的传统LAMP检测相当。通过检测唾液中的blaOXA-23样碳青霉烯酶基因,证明了基于RA的比色LAMP检测的实际应用。因此,RA介导的比色LAMP检测与使用智能手机应用程序的基于RGB的定量方法相结合,在检测食源性病原体的分子诊断中具有巨大潜力。