scholarly journals Planar Interdigitated Aptasensor for Flow-Through Detection of Listeria spp. in Hydroponic Lettuce Growth Media

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5773
Author(s):  
Raminderdeep K. Sidhu ◽  
Nicholas D. Cavallaro ◽  
Cicero C. Pola ◽  
Michelle D. Danyluk ◽  
Eric S. McLamore ◽  
...  
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Irrigation Water ◽  
Primary Source ◽  
Growth Media ◽  
Basic Solution ◽  
Real Time Analysis ◽  
Piranha Solution ◽  
Regulatory Standards ◽  
Produce Contamination

Irrigation water is a primary source of fresh produce contamination by bacteria during the preharvest, particularly in hydroponic systems where the control of pests and pathogens is a major challenge. In this work, we demonstrate the development of a Listeria biosensor using platinum interdigitated microelectrodes (Pt-IME). The sensor is incorporated into a particle/sediment trap for the real-time analysis of irrigation water in a hydroponic lettuce system. We demonstrate the application of this system using a smartphone-based potentiostat for rapid on-site analysis of water quality. A detailed characterization of the electrochemical behavior was conducted in the presence/absence of DNA and Listeria spp., which was followed by calibration in various solutions with and without flow. In flow conditions (100 mL samples), the aptasensor had a sensitivity of 3.37 ± 0.21 kΩ log-CFU−1 mL, and the LOD was 48 ± 12 CFU mL−1 with a linear range of 102 to 104 CFU mL−1. In stagnant solution with no flow, the aptasensor performance was significantly improved in buffer, vegetable broth, and hydroponic media. Sensor hysteresis ranged from 2 to 16% after rinsing in a strong basic solution (direct reuse) and was insignificant after removing the aptamer via washing in Piranha solution (reuse after adsorption with fresh aptamer). This is the first demonstration of an aptasensor used to monitor microbial water quality for hydroponic lettuce in real time using a smartphone-based acquisition system for volumes that conform with the regulatory standards. The aptasensor demonstrated a recovery of 90% and may be reused a limited number of times with minor washing steps.

Groundwater Quality Evaluation for Irrigation Suitable Using Geostatistical Algorithms

2021 ◽  
Author(s):  
Abdalkarim S. Gharbia ◽  
Salem S. Gharbia ◽  
Balázs Zákányi ◽  
Márton Tóth ◽  
Peter Szucs
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Quality Evaluation ◽  
Gaza Strip ◽  
Primary Source ◽  
Total Hardness ◽  
Irrigation Water Quality ◽  
Magnesium Hazard ◽  
The Gaza Strip ◽  
Agricultural Yield

Abstract The groundwater is the primary source for irrigation and other purposes in the Gaza Strip. The low irrigational water quality effects on the soil quality, which interrupts the growth of plants impacting agricultural yield and can cause risk to human health. Thus, it is essential to evaluate the water quality for irrigation uses. Therefore, it is a need to understand irrigation water quality better. This study mainly focuses on the assessment of the suitability of water for irrigation. Water quality indices, known as sodium adsorption ratio, exchangeable sodium per cent (SSP or %Na), residual sodium carbonate (RSC), Kelly’s rate (KR), permeability index (PI), chloroalkaline indices (CAI1 and CAI2), potential salinity (PS), magnesium hazard (MH), total dissolved solids (TDS) and total hardness (TH), have been calculated for several wells. The majority of the wells are falling under the wrong category of water for irrigation purposes.

scholarly journals Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management

2020 ◽  
Vol 17 (3) ◽  
pp. 737 ◽  
Author(s):  
Wei-Jhan Syu ◽  
Tsun-Kuo Chang ◽  
Shu-Yuan Pan
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Management ◽  
Real Time ◽  
Monitoring System ◽  
Irrigation Water ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Irrigation Water Quality

In order to provide the real-time monitoring for identifying the sources of pollution and improving the irrigation water quality management, the integration of continuous automatic sampling techniques and cloud technologies is essential. In this study, we have established an automatic real-time monitoring system for improving the irrigation water quality management, especially for heavy metals such as Cd, Pb, Cu, Ni, Zn, and Cr. As a part of this work, we have first provided several examples on the basic water quality parameters (e.g., pH and electrical conductance) to demonstrate the capacity of data correction by the smart monitoring system, and then evaluated the trend and variance of water quality parameters for different types of monitoring stations. By doing so, the threshold (to initiate early warming) of different water quality parameters could be dynamically determined by the system, and the authorities could be immediately notified for follow-up actions. We have also provided and discussed the representative results from the real-time automatic monitoring system of heavy metals from different monitoring stations. Finally, we have illustrated the implications of the developed smart monitoring system for ensuring the safety of irrigation water in the near future, including integration with automatic sampling for establishing information exchange platform, estimating fluxes of heavy metals to paddy fields, and combining with green technologies for nonpoint source pollution control.

scholarly journals Real-Time Identification of Irrigation Water Pollution Sources and Pathways with a Wireless Sensor Network and Blockchain Framework

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3634 ◽  
Author(s):  
Yu-Pin Lin ◽  
Hussnain Mukhtar ◽  
Kuan-Ting Huang ◽  
Joy R. Petway ◽  
Chiao-Ming Lin ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Real Time ◽  
Irrigation Water ◽  
Pollution Source ◽  
Pollution Sources ◽  
Blockchain Technology ◽  
Gis Tools ◽  
Source Tracing ◽  
Real Time Identification

Real-time identification of irrigation water pollution sources and pathways (PSP) is crucial to ensure both environmental and food safety. This study uses an integrated framework based on the Internet of Things (IoT) and the blockchain technology that incorporates a directed acyclic graph (DAG)-configured wireless sensor network (WSN), and GIS tools for real-time water pollution source tracing. Water quality sensors were installed at monitoring stations in irrigation channel systems within the study area. Irrigation water quality data were delivered to databases via the WSN and IoT technologies. Blockchain and GIS tools were used to trace pollution at mapped irrigation units and to spatially identify upstream polluted units at irrigation intakes. A Water Quality Analysis Simulation Program (WASP) model was then used to simulate water quality by using backward propagation and identify potential pollution sources. We applied a “backward pollution source tracing” (BPST) process to successfully and rapidly identify electrical conductivity (EC) and copper (Cu2+) polluted sources and pathways in upstream irrigation water. With the BPST process, the WASP model effectively simulated EC and Cu2+ concentration data to identify likely EC and Cu2+ pollution sources. The study framework is the first application of blockchain technology for effective real-time water quality monitoring and rapid multiple PSPs identification. The pollution event data associated with the PSP are immutable.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

A Real-Time Mathematical Model for Three-Dimensional Tidal Flow and Water Quality

1991 ◽  
Vol 24 (6) ◽  
pp. 171-177 ◽  
Author(s):  
Zeng Fantang ◽  
Xu Zhencheng ◽  
Chen Xiancheng
Keyword(s):  
Mathematical Model ◽  
Water Quality ◽  
Real Time ◽  
Control Volume ◽  
Tidal Flow ◽  
Three Dimensional ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Practical Application ◽  
The Pearl River

A real-time mathematical model for three-dimensional tidal flow and water quality is presented in this paper. A control-volume-based difference method and a “power interpolation distribution” advocated by Patankar (1984) have been employed, and a concept of “separating the top-layer water” has been developed to solve the movable boundary problem. The model is unconditionally stable and convergent. Practical application of the model is illustrated by an example for the Pearl River Estuary.

Flat Flexible Thin Milli-electrode Array for Real-time in situ Water Quality Monitoring in Distribution Systems

2017 ◽  
Vol 2017 (4) ◽  
pp. 5598-5617
Author(s):  
Zhiheng Xu ◽  
Wangchi Zhou ◽  
Qiuchen Dong ◽  
Yan Li ◽  
Dingyi Cai ◽  
...  
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Distribution Systems ◽  
Electrode Array ◽  
Water Quality Monitoring ◽  
Quality Monitoring

scholarly journals Real-Time Analysis of Animal Feeding Behavior With a Low-Calculation-Power CPU

2020 ◽  
Vol 67 (4) ◽  
pp. 1197-1205 ◽  
Author(s):  
Yuki Totani ◽  
Susumu Kotani ◽  
Kei Odai ◽  
Etsuro Ito ◽  
Manabu Sakakibara
Keyword(s):  
Feeding Behavior ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Animal Feeding
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