Rapid Diagnosis of HIV-1 virus by Near Infrared Spectroscopy: based on Partial least squares regression

¹ College of Life Science and Health, Wuhan University of Science and Technology, Wuhan, Hubei, 430065, China,
² College of Information Science and Engineering, Hunan University, Changsha, Hunan, 410082, China,
³ Wuhan Qiangu Technology Co., Ltd. Wuhan, Hubei, 430074, China.

^* Co-corresponding author: qgkeji@yeah.net
^* Co-corresponding author: wdefu@yeah.net
^* Corresponding author: Guchaojiang@wust.edu.cn

Abstract

Currently, the laboratory diagnostic tests available for HIV-1 viral infection are mainly based on serological testing which relies on enzyme-linked immunosorbent assay (ELISA) for blood HIV antigen detection and reverse transcription polymerase chain reaction (RT-PCR) for HIV specific RNA sequence identification. However, these methods are expensive and time-consuming, and suffer from false positive and/or false negative results. Thus, there is an urgent need for developing a cost effective, rapid and accurate diagnostic method for HIV-1 infection. In order to reduce the barriers for effective diagnosis, a near-infrared spectroscopy (NIR) method was used to detect the HIV-1 virus in human serum, specifically, three absorption peaks with dose-dependent at 1582nm, 1810nm and 2363nm were found by multiple FBiPLSR test analysis for HIV-nano and HIV-EGFP, but not for MLV. Therefore, we recommend the use of 1582nm, 1810nm and 2363nm as the characteristic spectrum peak, for early screening and rapid diagnosis of serum HIV.