Phenol red as electrochemical indicator for highly sensitive quantification of SARS-CoV-2 by loop-mediated isothermal amplification detection

Short-stranded DNA segment-modulated LAMP/H+ as signal transducer to guide CHA-cooperated amplifiable electrochemical biosensing

BACKGROUND

Modulating loop-mediated isothermal amplification (mLAMP) by short-stranded DNA segment trigger (T) to generate byproducts H+ ions (mLAMP/H+) as signal transducer is intriguing for developing catalytic hairpin assembly (CHA)-cooperated amplifiable electrochemical biosensors. This would be a big challenge for traditional LAMP that is basically suitable for amplifying long-stranded oligonucleotides up to 200-300 nt. To address this inherent limitation of traditional LAMP, many researchers have put in efforts to explore improvements in this that would allow LAMP to be used for a wider range of target species amplification.

RESULTS

Here in this work, we are inspired to explore two-step loop-mediated amplification, firstly forming T-activated double-loop dumbbell structure (DLDS) intermediate by a recognition hairpin and a hairpin precursor, and next DLDS-guided mLAMP process with the aid of two primers to yield mLAMP/H+ during successive DNA incorporation via nucleophilic attacking interaction. To manipulate the mLAMP/H+-directed transduction of input T, a pH-responsive triplex strand is designed with the ability of self-folding in Hoogsteen structure at slightly acidic conditions, resulting in the dehybridization of a fuel strand (FS) to participate in CHA between two hairpins on the modified electrode surface, in which FS is repetitively displaced and recycled to fuel the progressive CHA events. In the as-assembled dsDNA complexes, numerous electroactive ferrocene labels are immobilized in the electrode sensing interface, thereby generating significantly amplified electrochemical current signal that can sense the presented and varied T.

SIGNIFICANCE

It is clear that we have creatively constructed a unique electrochemical biosensor for disease detection. Benefited from the rational combination of mLAMP and CHA, our electrochemical strategy is highly sensitive, specific and simplified, and would provide a new paradigm to construct various mLAMP/H+-based biosensors for other short-stranded DNA or microRNAs markers.

Photochromic visual sensing chip for isothermal amplification detection of porcine transmissible gastroenteritis virus

The outbreak of transmissible gastroenteritis virus (TGEV) will cause huge economic losses to the whole pig industry. Hence, there is urgent need to develop a rapid and ultrasensitive method for detection of TGEV. As a nucleic acid detection technique, loop-mediated isothermal amplification (LAMP) can achieve quantitative detection of targeted nucleic acids with high sensitivity and selectivity. Nevertheless, the signal outputs of LAMP method must be acquired by complicated instruments. In this work, we firstly developed a LAMP photochromic sensing chip for porcine TGEV detection by combination of the photochromic sensing chip and nucleic acid amplification. The detection signal was based on color change of electrochromic material rather than electrical signal, and thus the detection signal can be obtained by visualization without relying on complicated instrument. The entire test was performed with small fluorinated indium tin oxide electrodes modified with zinc oxide (ZnO) (a photocatalytic material) and Prussian blue (PB) (an electrochromic material). When photoinduced electrons produced by ZnO were injected into PB under light, the PB was reduced to Prussian white. The higher the concentration of TGEV, the more double-stranded DNA was produced after amplification. The amplified product produced greater impedance, and fewer electron was transferred, which affect the corresponding color change of PB. The sensing chip also showed highly sensitive response to TGEV, with the minimum limit of detection was determined to be 2.5 fg/μL. The sensing chip developed herein will provide a new avenue for DNA amplification detection by visualization.