| Literature DB >> 35251937 |
Siti Adibah Zamhuri1, Chin Fhong Soon1,2, Anis Nurashikin Nordin3, Rosminazuin Ab Rahim3, Naznin Sultana4, Muhammad Arif Khan1, Gim Pao Lim1, Kian Sek Tee2.
Abstract
The discovery of SARS-CoV-2 virus in the water bodies has been reported, and the risk of virus transmission to human via the water route due to poor wastewater management cannot be disregarded. The main source of the virus in water bodies is the sewage network systems which connects to the surface water. Wastewater-based epidemiology has been applied as an early surveillance tool to sense SARS-CoV-2 virus in the sewage network. This review discussed possible transmission routes of the SARS-CoV-2 virus and the challenges of the existing method in detecting the virus in wastewater. One significant challenge for the detection of the virus is that the high virus loading is diluted by the sheer volume of the wastewater. Hence, virus preconcentration from water samples prior to the application of virus assay is essential to accurately detect traceable virus loading. The preparation time, materials and conditions, virus type, recovery percentage, and various virus recovery techniques are comprehensively discussed in this review. The practicability of molecular methods such as Polymer-Chain-Reaction (PCR) for the detection of SARS-CoV-2 in wastewater will be revealed. The conventional virus detection techniques have several shortcomings and the potential of biosensors as an alternative is also considered. Biosensing techniques have also been proposed as an alternative to PCR and have reported detection limits of 10 pg/μl. This review serves to guide the reader on the future designs and development of highly sensitive, robust and, cost effective SARS-CoV-2 lab-on-a-chip biosensors for use in complex wastewater.Entities:
Keywords: Biosensor; Coronavirus; Polymer-chain-reaction; SARS-CoV 2; Wastewater; Wastewater based epidemiology
Year: 2022 PMID: 35251937 PMCID: PMC8889793 DOI: 10.1016/j.sbsr.2022.100482
Source DB: PubMed Journal: Sens Biosensing Res ISSN: 2214-1804
Fig. 1Number of research articles on the detection of SARS-CoV-2 in the wastewater.
Fig. 2The routes of transmission for coronavirus to the water bodies.
Fig. 3The workflow in detecting virus loaded in complex wastewater in the laboratory and using in-situ test instrument.
Virus recovery using different methods for concentrating virus from wastewater.
| Method | Sample type | Materials/condition | Time | Virus | Virus recovery percentage | Ref |
|---|---|---|---|---|---|---|
| Adsorption extraction method | Wastewater | pH 4–6.9 Addition of MgCl2 0.45 μm Electronegative membrane | < 30 min | Murine Hepatitis Virus (MHV) | 26.7 ± 15.3% | [ |
| Wastewater | Aluminum based adsorption-precipitation Beef extraction solution Centrifugation | < 2 h | SARS-CoV2 | 30.2 ± 17.7% | [ | |
| Influent wastewater collected from wastewater plant | pH 6.0 Aluminum hydroxide (AlOH3) precipitation Beef extraction solution Centrifugation | < 2 h | MgV | 0.02–4.3% | [ | |
| Biobanked influent water samples inoculated with viruses | pH 6.0 Aluminum hydroxide (AlOH3) precipitation Beef extraction solution Centrifugation | < 2 h | Porcine epidemic diarrhea virus (PEDV) strain CV777, enveloped virus | PEDV: | [ | |
| Ultracentrifugation | Influent wastewater collected from wastewater plant | Centrifugation | <5 h | Non-enveloped virus, MgV | 8.04–25.72% | [ |
| Wastewater | 150,000 × | <2 h | SARS-CoV-2 | 12% | [ | |
| Wastewater | Centrifugation | < 2 h | 35.5 ± 12.1% | [ | ||
| Raw sewage water from sewage treatment plant | 100,000 × | < 2 h | Rotavirus (RV-A) | Range 34%–67% | [ | |
| Ultrafiltration | Wastewater | 10, 30 and 100 kDa membrane filter | CoV | 33–42% | [ | |
| Wastewater | CP-Select (Concentration pipette ultrafiltration tips, InnovaPrep) | < 2 h | Bacteriophage MS2 | [ | ||
| Wastewater influent from water treatment plant | Centricon® Plus 70 centrifugal ultrafiltration devices (CeUF) | ~ 1 h | Mengovirus | 17.5–100.5% | [ | |
| Wastewater | CP-Select (Concentration pipette ultrafiltration tips, InnovaPrep) | < 1 h | Bovine | CP-Select: 5.5 ± 2.1% | [ | |
| Wastewater | Americon Ultra-15(30 K) | <1 h | 56.7 ± 32.3% | [ | ||
| Precipitation | Wastewater | 10% PEG8000 | < 1 h | Murine Hepatitis Virus (MHV) | 44.0 ± 27.7% | [ |
| Grab wastewater | PEG8000(20%) | Overnight incubation | SARS-CoV2 | 52.8 ± 18.2% | [ | |
| Grab wastewater from wastewater treatment plant | PEG8000 and NaCl2 | <24 h | F-phage | ~10% | [ | |
| Grab wastewater from wastewater treatment plant | Pre-centrifugation | Overnight incubation | Bacteriophage | 27.5% -77.6% | [ |
Fig. 4Existing biosensors (electrochemical [134], optical [135], and piezoelectric [136]) suitable for in-situ COVID-19 monitoring through WBE.
Selected biosensors of various signal detection methods that are commonly used in WBE to detect various pathogens and infectious diseases.
| Signal detection methods | Advantages | Limitations | Infectious diseases / pathogens | Ref |
|---|---|---|---|---|
| Electrochemical (Voltammetric, Amperometric, Potentiometric) | Low LOD, High sensitivity, Fast response time, Low cost, can be miniaturized with other portable devices | Potentiometric has issues related to immobilization, poor linear range, low reproducibility potential | Hepatitis A virus (HAV) Hepatitis viruses (types A-E) Rotavirus | [ |
| Optical (Fluorescence, Luminescence, Colorimetry) | Selective, High sensitivity, Real-time, | Complex, High cost, Bulky equipment (not portable), relatively high LOD | Adenovirus Enterovirus 71 (EV71) Bovine viral diarrhoea virus | [ |
| Piezoelectric | Label-free, Rapid, Simple, Low cost, High sensitivity | Long incubation times, difficulties in regenerating crystal surfaces, multiple washing and drying steps, difficult to immobilize the antibodies on quartz crystal | Rotavirus and adenovirus Hepatitis viruses type A and type B | [ |
| Microfluidics | Multiple biosensings (LAMP, PCR), Relatively high sensitivity, Portable, Can be combined with many detection tools (optical, electrochemical), Can be integrated with paper-based devices and functional nanomaterials | Requires in-depth study on functional materials to simplify device, not miniaturize enough | RNA viruses
Bacteria ( Echovirus) | [ |
| Paper-Based Devices | Simple process, Low cost, Portable, can be integrated with microfluidic system and functional nanomaterials | Challenge to deal with complex WBE matrix | Norovirus E.Coli Malaria | [ |
Promising applications and challenges of various biosensor detection techniques for WBE.
| Detection technique | Applications in WBE | Challenges | Ref |
|---|---|---|---|
| Indirect (PCR, CRISP, and genome sensing) | Commonly used technique to detect nucleic acids; Precise and sensitive detection of SARS-Cov-2 RNA; examine complex wastewater or biofluids. | Require trained personnel otherwise false negative; specialized equipment to interpret results for disease circulation; human health risks; inconsistency of sample strains vs. reference. | [ |
| Surface-enhanced Raman scattering (SERS) based biosensors (liquid, paper-based, microfluidic, magnetic) | Highly sensitive, low cost, rapid; detect at environmentally relatable concentrations; wastewater monitoring due to active SERS substrates; handheld systems appropriate for field analysis. | SERS substrate heterogeneity; weak SERS signals; require additional data analysis; reproducibility; challenge in detecting in complex wastewater at nano concentrations. | [ |
| Electrochemical and field-effect transistor (FET) sensors | Simple lab on a chip integration; detect at environmentally relatable concentrations; portable; compatible for on-site analysis; simple operation. | Non-specific adsorption of interfering molecules and electrochemical signals in unstable physiological conditions in operation for the complex wastewater analysis. | [ |
| Spectroelectrochemical (SEC) sensors | Capable of detecting single-molecule; feasible in using in complex wastewater media as complementary data allows to resolve overlapping signals coming from interfering molecules. | Device reproducibility with EC-SERS substrates; complexity in data analysis and interpretation; appropriate design needed for on-site analysis. | [ |