近红外“火柴盒大小”光谱仪可定量检测恶性疟原虫感染红细胞中的疟疾感染情况

A. John, Kochan Kamila, H. Philip, R. W. Bayden
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引用次数: 0

摘要

迫切需要高度敏感、便携和负担得起的新的疟疾即时诊断方法,以实现世界卫生组织在2030年或之前在全球将疟疾病例和相关生命损失至少减少90%的目标。在本研究中,首次使用超廉价的火柴盒大小的近红外(NIR)分光光度计,从分离的干燥红血球中检测和量化体外疟疾感染,使用指尖体积(15µl)的血液,寄生虫率低至0.0001%。该技术依赖于检测与感染和对照红细胞光谱的近红外光谱特征相关的明显变化。该方法需要最少的样品制备,需要离心步骤来分离红细胞。频谱在3秒内获得,因此可以与全球定位卫星坐标一起转移,用于流行病学监测。在将其应用于疟疾检测之前,我们首先在近红外区域表征了与感染和未感染红细胞相关的主要生物标志物,包括血色素、血红蛋白和脂质。然后,我们应用主成分分析,实现了感染和未感染红细胞之间的良好分离。使用偏最小二乘回归分析,PLS- R模型的预测均方根误差为0.446和0.001。因此,我们引入了一种高通量替代聚合链反应DNA扩增和快速诊断抗体试纸条,可以使用廉价的底物和价格合理,高度便携和低功率的仪器建立。此外,数据可以通过智能手机上传,并从世界任何地方在线分析,这突出了这种方法在道路不通的偏远村庄实地部署的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NIR “matchbox size” spectrometer can quantify and detect malaria infection in Plasmodium falciparum infected red blood cells
New point-of-care diagnostic approaches for malaria that are highly sensitive, portable and affordable are urgently needed to meet the World Health Organization’s objective of reducing malaria cases and related life losses by at least 90% globally on or before 2030. 1 In this study, an ultra-cheap matchbox size near-infrared (NIR) spectrophotometer was used for the first time to detect and quantify malaria infection in vitro from isolated dried red blood cells using a fingerpick volume (15 µl) of blood, down to 0.0001% parasitemia. This technique relies on detecting distinct changes associated with the NIR spectroscopic signatures of both infected and control RBCs spectra. The approach requires minimal sample preparation that entails a centrifugation step to isolate the RBCs. The spectrum is acquired within 3 s thus can be transferred with Global Position Satellite coordinates for epidemiological surveillance. Prior to its application for malaria detection, we first characterized the major biomarkers associated with infected and uninfected red blood cells in the near infrared region including hemozoin, hemoglobin and lipids. We then applied Principal Component Analysis and achieved an excellent separation between the infected and uninfected RBCs. Using Partial Least Squares Regression Analysis, a Root Mean Square Error of Prediction of 0.446 and 0.001 for the PLS- R models were achieved. Thus, we introduce a high-throughput alternative to Polymerize Chain Reaction DNA amplification and rapid diagnostic antibody test strips that can be established using inexpensive substrates and an affordable, highly portable and low power instrument. Moreover, data can be uploaded via a smartphone and analysed online from anywhere in the world, highlighting the potential of this approach for field deployment in remote villages where road access can be problematic.
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