| Literature DB >> 33775678 |
Mahalaxmi Iyer1, Sushmita Tiwari2, Kaviyarasi Renu3, Md Younus Pasha4, Shraddha Pandit3, Bhupender Singh5, Neethu Raj6, Saikrishna Krothapalli6, Hee Jeong Kwak7, Venkatesh Balasubramanian6, Soo Bin Jang7, Dileep Kumar G8, Anand Uttpal9, Arul Narayanasamy10, Masako Kinoshita11, Mohana Devi Subramaniam1, Senthil Kumar Nachimuthu12, Ayan Roy5, Abilash Valsala Gopalakrishnan3, Parthasarathi Ramakrishnan2, Ssang-Goo Cho13, Balachandar Vellingiri14.
Abstract
The advent of COVID-19 has kept the whole world on their toes. Countries are maximizing their efforts to combat the virus and to minimize the infection. Since infectious microorganisms may be transmitted by variety of routes, respiratory and facial protection is required for those that are usually transmitted via droplets/aerosols. Therefore this pandemic has caused a sudden increase in the demand for personal protective equipment (PPE) such as gloves, masks, and many other important items since, the evidence of individual-to-individual transmission (through respiratory droplets/coughing) and secondary infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). But the disposal of these personal protective measures remains a huge question mark towards the environmental impact. Huge waste generation demands proper segregation according to waste types, collection, and recycling to minimize the risk of infection spread through aerosols and attempts to implement measures to monitor infections. Hence, this review focuses on the impact of environment due to improper disposal of these personal protective measures and to investigate the safe disposal methods for these protective measures by using the safe, secure and innovative biological methods such as the use of Artificial Intelligence (AI) and Ultraviolet (UV) lights for killing such deadly viruses.Entities:
Keywords: Artificial intelligence; Biomedical waste; Biomedical waste management; COVID-19; Environmental damage; Personnel protective equipment (PPE)
Mesh:
Substances:
Year: 2021 PMID: 33775678 PMCID: PMC7997151 DOI: 10.1016/j.envres.2021.111015
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 8.431
Various categories of Bio-Medical wastes, its components and treatment.
| Category | Waste components | Waste content | Method of treatment and disposal |
|---|---|---|---|
| Category 1 | Human tissues, organs, body parts | Human Anatomical Waste | Incineration/deep burial |
| Category 2 | All types of Animal tissues, organs, body parts carcasses, bleeding parts etc generated by different health sectors | Animal Waste | Incineration/deep burial |
| Category 3 | Wastes from laboratory cultures, stocks or specimens of micro- organisms used in research | Microbiology & Biotechnology Waste | Local autoclaving/micro waving/incineration |
| Category 4 | Needles, syringes, scalpels, blades, glass etc | Waste sharps | Disinfections chemical treatment |
| Category 5 | Out-dated, contaminated and discarded medicines | Discarded Medicines and Cytotoxic drugs | Incineration/Destruction and disposal of drugs in landfills |
| Category 6 | Blood contaminated cotton, dressings, soiled plaster casts, lines etc | Solid Waste | Incineration, autoclaving/micro waving |
| Category 7 | tubing's, catheters, intravenous sets etc | Solid Waste | Disinfections chemical treatment |
| Category 8 | Waste generated from laboratory and washing, cleaning, house-keeping and disinfecting activities | Liquid Waste | Disinfections by chemical treatment and discharge into drains |
| Category 9 | Ash from incineration of any biomedical waste | Incineration Ash | Disinfections chemical treatment |
| Category 10 | Chemicals used in production of biological | Chemical Waste | Chemical treatment and discharges into drains |
Fig. 1Survival of SARS-CoV-2 on various substances: This figure represents the survival period of SARS-CoV-2 on various substances. The improper management of the produced waste during this pandemic may present serious environmental and health related issues because of the fact that SARS-CoV-2 can survive from several hours to days depending upon the contaminated surfaces.
Color coded containers for wastes.
Fig. 3An Overview of Innovative approach for Biomedical Waste Management: This figure depicts the various colour codes that are used for disposing various biomedical wastes. Further we have showed two innovative approaches to kill SARS-CoV-2 viruses that will be present on the biomedical waste which are the artificial intelligence and ultraviolet lights. These techniques can easily handle and destroy the viruses without further spreading the virus. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Different technologies used for BWM.
| Technologies used in SWM | Methodology | Application | References |
|---|---|---|---|
| Artificial Neural Network (ANN) | Prediction of bin level status, | ||
| Adaptive Neuro-Fuzzy Inference System (ANFIS) | Used to forecast the waste generation in such developing countries where accurate reliable data is not always available | ||
| Genetic Algorithm (GA) | Used for the identification of optimal routes, management costs in the case of MSW collection | ||
| Support Vector Machine (SVM) | Prediction of bin level status, waste generation, classification, waste heating value and energy recovery. | ||
| Barcode | Waste disposal, reduce landfill space, intelligent recycling and risk management | ||
| Radio frequency identification (RFID) | Bin tracking, sorting and recycling, driver tracking | ||
| Sensors | Optimization, waste sorting, odor, moisture and energy measurement | ||
| Imaging | Waste sorting, routing and collection, monitoring and optimization | ||
| GSM/GPRS, VHFR | Long range communication | ||
| Bluetooth, Wi-Fi | Short range communication | ||
| Global Positioning System (GPS) | Vehicle tracking, Route and collection optimization, planning, scheduling | ||
| Geographic | Site selection, planning, estimation, optimization and management | ||
| Remote Sensing (RS) | Site selection, environmental impact assessment, features monitoring |
Fig. 4Use of Robotics and Sensors for COVID-19 waste management: This figure depicts an mechanistic details about the use of robotics and sensors in waste bins to manage the COVID-19 waste management. This picture shows that the sensors in robotic bins would help the worker to detect whether the bin is full or it can be loaded with the waste or using the Wi-Fi which will be enabled in it. This will lead to minimal exposure of workers to the COVID-19 related waste.
Fig. 2Impact of SARS-CoV-2 due to improper handling of Biomedical Waste: This figure illustrates the transmission of SARS-CoV-2 virus and the symptoms associated to it. On the other hand it represents the safety and prevention of the infectious disease. For prevention one has to wash and sanitize the hands frequently, disinfect the surfaces and maintain social distancing. The utilized products such as mask, kitchen wastages need to be stored in yellow bag and shifted to local municipal leaders. Medical wastages such as plastic bottles, goggles, aprons, swab, gloves and face-shield should be stored in the red sack and hand-over to local municipal leaders. If this is not done properly, it will increase the transmission of infectious diseases. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)