4.6 Review

Water quality detection based on UV-Vis and NIR spectroscopy: a review

Related references

Note: Only part of the references are listed.
Article Engineering, Chemical

Enhanced Photodegradation of Tetracycline under UV-Visible Light with a Bi2O3/TiO2 Composite

Linh Xuan Nong et al.

Summary: Bi2O3/TiO2 photocatalysts were successfully synthesized by the solvothermal method. Characterization results showed excellent photodegradation of tetracycline under UV-visible light, compared to Bi2O3 or TiO2. The reduced electron-hole recombination in the Bi2O3/TiO2 composite was confirmed by photoluminescence characterization. The fabrication of semiconductor composites holds great promise for enhancing the photocatalytic performance.

CHEMICAL ENGINEERING & TECHNOLOGY (2023)

Article Biodiversity Conservation

A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction

Lingxuan Chen et al.

Summary: With the acceleration of industrialization and urbanization, water pollution in rivers has become increasingly serious, causing ecological and environmental issues. The prediction of river water quality index (WQI) is essential for pollution prevention and management. By combining machine learning with intelligent optimization algorithms, the proposed model accurately predicts WQI and outperforms other algorithms in terms of prediction accuracy.

ECOLOGICAL INDICATORS (2023)

Article Environmental Sciences

A spectral learning path for simultaneous multi-parameter detection of water quality

Zhiqiang Guo et al.

Summary: This paper proposes an intelligent method for water quality parameter (WQP) detection by combining spectral images (SPIs) and deep learning techniques. A novel spectroscopic instrument is used to obtain SPIs, which are converted into feature images of water chemistry and combined with deep convolutional neural networks (CNNs) to train models and predict WQP. The results show that the method achieves rapid and accurate detection of high-dimensional water quality multi-parameters with high accuracy and stability, and has the advantages of simple pre-processing and low cost. It can be applied not only to intelligent detection of environmental waters, but also has the potential to be applied in chemical, biological, and medical fields.

ENVIRONMENTAL RESEARCH (2023)

Article Agriculture, Multidisciplinary

Universal Near-Infrared Fluorescent Nanoprobes for Detection and Real-Time Imaging of ATP in Real Food Samples, Living Cells, and Bacteria

Ning Ding et al.

Summary: Two near-infrared fluorescent nanoprobes, CYA@ZIF-90 and CYQ@ZIF-90, were designed for rapid detection of ATP. The CYA@ZIF-90 nanoprobe demonstrated higher NIR emission and faster detection. It was successfully utilized for ATP imaging and detection in living bacteria, with a detection limit as low as 74 CFU mL(-1). This nanoprobe has the potential to become a universal ATP sensing tool for applications in cell apoptosis, cell proliferation, and food-harmful microbial control.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2023)

Article Chemistry, Analytical

Unveiling the pollution of bacteria in water samples through optic sensor

Yeseren Saylan

Summary: This study develops a biomimetic optic sensor for detecting Enterococcus faecalis in drinking water. The sensor utilizes a molecularly imprinted nanofilm made of gold nanoparticles. Extensive characterization shows that the sensor has remarkable detection capabilities with a low detection limit of 6.6x103 cfu/mL and a high determination coefficient within the Enterococcus faecalis concentration range of 5x104 - 1x108 cfu/mL. Importantly, the sensor is effective not only in buffer solutions but also in water sample solutions, making it practical for real-world applications.

MICROCHEMICAL JOURNAL (2023)

Article Spectroscopy

An optical and visual multi-mode sensing platform base on nitrogen, sulfur, boron co-doped carbon dots for rapid and simple determination of ferric ions in water

Xuewen Wu et al.

Summary: In this study, optical and visual detection strategies for Fe3+ in water were established based on co-doped carbon dots. The co-doped carbon dots exhibited good selectivity, stability, and high sensitivity, making them suitable for the detection of both low and high concentrations of Fe3+. This multi-mode sensing platform has great potential for applications in various fields.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2023)

Article Environmental Sciences

A multi-model study for understanding the contamination mechanisms, toxicity and health risks of hardness, sulfate, and nitrate in natural water resources

Johnbosco C. Egbueri

Summary: In recent times, various researchers worldwide have shown interest in several water quality contaminants. While sulfate and water hardness have not received much attention in terms of toxicity and health risk assessments, nitrate contamination has gained significant research interest globally. This study integrated multiple data-driven models to assess and predict contamination mechanisms, toxicity, and health risks of natural waters in Southeast Nigeria. The results revealed that certain areas present a chronic health risk, especially for children, females, and males, due to nitrate contamination. Additionally, some locations exceeded the Nigerian limit for sulfate concentration, heightening the health effects of contaminated water resources.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Environmental Sciences

Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms

Johnbosco C. Egbueri et al.

Summary: In this study, various soft computing techniques were integrated and compared for modeling and predicting groundwater quality parameters in the Ojoto area of SE Nigeria. The results showed that both anthropogenic and non-anthropogenic activities influenced water quality parameters, and a percentage of groundwater samples were found to be unsuitable for drinking. Heavy metals such as Pb, Ni, and Zn were found to have the most significant impact on the water quality indices. Multiple linear regression and artificial neural network algorithms showed different performances in simulating and predicting the parameters.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

Article Environmental Sciences

Monitoring Water Quality of the Haihe River Based on Ground-Based Hyperspectral Remote Sensing

Qi Cao et al.

Summary: The combination of hyperspectral remote sensing and BP neural networks is used to monitor water quality in the Haihe River. The results show that this method is accurate and feasible, providing decision-makers with real-time information on water quality parameters.

WATER (2022)

Article Spectroscopy

A new method for detecting mixed bacteria based on multi-wavelength transmission spectroscopy technology

Chun Feng et al.

Summary: The study presents a method for spectral separation and concentration measurement of mixed bacteria based on multi-wavelength transmission spectroscopy. The results show that this method can quickly and accurately determine the component ratio and concentration in mixed bacteria.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2022)

Article Engineering, Environmental

In-situ quantitative monitoring the organic contaminants uptake onto suspended microplastics in aquatic environments

Xu-Dan Yang et al.

Summary: Microplastics serve as a source of organic contaminants in aquatic environments, impacting their fate and toxicity. To assess the environmental risks associated with microplastics, a method for evaluating the dynamic uptake of organic contaminants onto suspended microplastics in water is necessary. In this study, a UV-vis spectroscopy-based approach was developed to monitor the uptake of organic contaminants onto suspended microplastics in real-time.

WATER RESEARCH (2022)

Article Environmental Sciences

Recent advances on rapid detection and remediation of environmental pollutants utilizing nanomaterials-based (bio)sensors

Abhinay Thakur et al.

Summary: This article highlights the significance of using nanotechnology for the detection of hazardous pollutants. By combining nanobioconjugation and nanofabrication techniques, nanomaterial-based sensors can achieve real-time, highly sensitive, and rapid detection of various pollutants. This provides an effective means for environmental protection.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Environmental Sciences

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Suraj Kumar Bhagat et al.

Summary: Hybrid artificial intelligence models utilizing an extreme gradient boosting feature selection algorithm were developed to predict sediment lead levels in two Australian bays, achieving accurate predictions and providing a valuable computer aid technology for environmental pollution monitoring and assessment.

ENVIRONMENTAL POLLUTION (2021)

Article Environmental Sciences

Efficient removal of emerging contaminant sulfamethoxazole in water by ozone coupled with calcium peroxide: Mechanism and toxicity assessment

Liangrui Xiang et al.

Summary: The study demonstrated that calcium peroxide (CaO2) can enhance the elimination efficiency of sulfamethoxazole (SMX) in ozone (O-3) system, with reactive oxygen species playing a critical role in SMX degradation. Additionally, alkaline conditions were found to be unfavorable for SMX degradation.

CHEMOSPHERE (2021)

Article Environmental Sciences

Amazon floodplain hydrology and implications for aquatic conservation

John M. Melack et al.

Summary: Amplitude, duration, frequency, and predictability of runoff and inundation are key hydrological characteristics linked to aquatic ecosystem functioning and biodiversity. These factors, integrated through remote sensing, measurements, and modeling, are crucial for effective legislation and conservation efforts in the Amazon floodplain ecology.

AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS (2021)

Article Spectroscopy

A fast determination of insecticide deltamethrin by spectral data fusion of UV-vis and NIR based on extreme learning machine

Qianqian Li et al.

Summary: The study explored the use of spectral data fusion strategies combined with the ELM algorithm for the determination of active ingredients in deltamethrin formulation. It was found that the low-level fusion strategy exhibited better predictive ability, making it an efficient method for rapid analysis.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2021)

Article Multidisciplinary Sciences

Ultraviolet absorption of contaminants in water

Martin Spangenberg et al.

Summary: Contaminants in water were studied using ultraviolet absorption with light emitting diode and deuterium lamp sources, and a thresholding detector. The transmitted signal of contaminants and mixtures of pairs of compounds could be approximately described with a simple spectral model of the source-absorption-detector system, allowing for relative concentrations to be determined in certain mixtures. Real-time absorption measurements in a flume were successfully demonstrated.

SCIENTIFIC REPORTS (2021)

Article Chemistry, Multidisciplinary

Removal of emerging contaminants from water by using Fe-MOF composite as a sorbent

Fouzia Chang et al.

Summary: This study prepared Fe-MOF composite material and found that the Fe3O4@MIL-100 (Fe) adsorbent has a good removal efficiency for emerging contaminants, with a maximum removal rate of up to 85%.

JOURNAL OF THE IRANIAN CHEMICAL SOCIETY (2021)

Article Chemistry, Analytical

Microwave Sensors for In Situ Monitoring of Trace Metals in Polluted Water

Ilaria Frau et al.

Summary: The study presents a novel technique based on microwave spectroscopy and planar sensors for in situ real-time water quality monitoring, successfully detecting the water pollution level in contaminated mining areas.

SENSORS (2021)

Article Spectroscopy

Artificial neural networks combined multi-wavelength transmission spectrum feature extraction for sensitive identification of waterborne bacteria

Chun Feng et al.

Summary: The research focuses on using artificial neural networks and spectral data processing technology to rapidly and accurately identify bacterial species. Different signal processing techniques were used to extract features from the spectra, and identification models based on BPNN, GRNN, and PNN were developed to differentiate between different bacterial species. The models were evaluated based on recognition accuracy and error rates, with the most accurate model achieving a recognition accuracy of 97.3% for the overall recognition of area-based features combined with GRNN.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2021)

Article Engineering, Environmental

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Qiyun Zhu et al.

Summary: Optimizing sewage collection is crucial for improving water pollution control and wastewater treatment plant efficiency. This study utilized derivative spectrum and convolutional neural network algorithm to classify different types of sewage, achieving high recognition rates for industrial wastewater, domestic sewage, rainwater mixing systems, and rainwater.

FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING (2021)

Article Biotechnology & Applied Microbiology

Heavy metal water pollution: A fresh look about hazards, novel and conventional remediation methods

Camilo Zamora-Ledezma et al.

Summary: The article discusses the causes of water pollution, the potential risks of heavy metal contamination to the environment and human health, and the technologies and materials available for purifying water sources. It highlights the human activities as the main source of heavy metals, the health hazards posed by them, and various detection and removal methods.

ENVIRONMENTAL TECHNOLOGY & INNOVATION (2021)

Review Environmental Sciences

A review of partial least squares modeling (PLSM) for water quality analysis

Punit Khatri et al.

Summary: Regression is a powerful tool used in statistical modeling for qualitative and quantitative analysis, with the partial least squares modeling (PLSM) being a prominent tool for addressing multidimensionality and collinearity issues in water quality analysis.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2021)

Article Biotechnology & Applied Microbiology

Evaluation of anammox pathway recovery after high COD loading using water quality, molecular biology and isotope labelling analysis

Ruili Yang et al.

BIOPROCESS AND BIOSYSTEMS ENGINEERING (2020)

Article Spectroscopy

Assessing heavy metal concentrations in earth-cumulic-orthic-anthrosols soils using Vis-NIR spectroscopy transform coupled with chemometrics

Jinbao Liu et al.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2020)

Article Chemistry, Applied

Removal of emerging contaminants from water by zeolite-rich composites: A first approach aiming at diclofenac and ketoprofen

Danijela Smiljanic et al.

MICROPOROUS AND MESOPOROUS MATERIALS (2020)

Article Automation & Control Systems

Alternative particle compensation techniques for online water quality monitoring using UV-Vis spectrophotometer

Zhining Shi et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2020)

Article Chemistry, Multidisciplinary

Polymer Type Identification of Marine Plastic Litter Using a Miniature Near-Infrared Spectrometer (MicroNIR)

Svetlana Pakhomova et al.

APPLIED SCIENCES-BASEL (2020)

Article Geography

Water resources conservation and rural livelihoods in protected areas of central Mexico

Angela Caro-Borrero et al.

JOURNAL OF RURAL STUDIES (2020)

Review Environmental Sciences

Emerging pollutants in the urban water cycle in Latin America: A review of the current literature

Carlos Pena-Guzman et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)

Article Environmental Sciences

Freshwater biodiversity conservation through source water protection: Quantifying the potential and addressing the challenges

Robin Abell et al.

AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS (2019)

Article Environmental Sciences

Investigating Surface Water Pollution by Integrated Remotely Sensed and Field Spectral Measurement Data: A Case Study

Onder Gursoy et al.

POLISH JOURNAL OF ENVIRONMENTAL STUDIES (2019)

Article Agricultural Engineering

Removal enactment of organo-phosphorous pesticide using bacteria isolated from domestic sewage

Md Shabbir et al.

BIORESOURCE TECHNOLOGY (2018)

Article Environmental Sciences

Spectroscopic analyses and genotoxicity of dioxins in the aquatic environment of Alexandria

Fagr Kh. Abdel-Gawad et al.

MARINE POLLUTION BULLETIN (2018)

Review Chemistry, Analytical

Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications

Syahidah Nurani Zulkifli et al.

SENSORS AND ACTUATORS B-CHEMICAL (2018)

Article Environmental Sciences

Biointeractions of Herbicide Atrazine with Human Serum Albumin: UV-Vis, Fluorescence and Circular Dichroism Approaches

Meiqing Zhu et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)

Article Engineering, Environmental

Benchmarking Water Quality from Wastewater to Drinking Waters Using Reduced Transcriptome of Human Cells

Pu Xia et al.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2017)

Editorial Material Spectroscopy

UV-VIS absorption spectroscopy: Lambert-Beer reloaded

Werner Maentele et al.

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2017)

Article Biochemical Research Methods

Generalized Beer-Lambert model for near-infrared light propagation in thick biological tissues

Manish Bhatt et al.

JOURNAL OF BIOMEDICAL OPTICS (2016)

Article Chemistry, Analytical

Novel method of turbidity compensation for chemical oxygen demand measurements by using UV-vis spectrometry

Yingtian Hu et al.

SENSORS AND ACTUATORS B-CHEMICAL (2016)

Review Environmental Studies

Online monitoring of priority and dangerous pollutants in natural and urban waters A state-of-the-art review

Andrea G. Capodaglio et al.

MANAGEMENT OF ENVIRONMENTAL QUALITY (2016)

Article Engineering, Electrical & Electronic

Raman spectroscopy as polyvalent alternative for water pollution detection

Ivana Durickovic et al.

IET SCIENCE MEASUREMENT & TECHNOLOGY (2014)

Article Multidisciplinary Sciences

Monitoring the Presence of Ionic Mercury in Environmental Water by Plasmon-Enhanced Infrared Spectroscopy

Chung V. Hoang et al.

SCIENTIFIC REPORTS (2013)

Article Chemistry, Analytical

Feasibility research on rapid detection of dimethoate in water by near-infrared spectroscopy

Yilong Su et al.

ANALYTICAL METHODS (2012)

Article Engineering, Biomedical

Microbial and Endotoxin Contamination in Water and Dialysate in the Central United States

Elias Klein et al.

ARTIFICIAL ORGANS (2010)

Article Environmental Sciences

Association between Rainfall and Pediatric Emergency Department Visits for Acute Gastrointestinal Illness

Patrick Drayna et al.

ENVIRONMENTAL HEALTH PERSPECTIVES (2010)

Article Materials Science, Multidisciplinary

High Throughput Sample Preparation and Analysis Using an Inductively Coupled Plasma (ICP) Focused Ion Beam Source

S Kellogg et al.

MICROSCOPY AND MICROANALYSIS (2010)

Article Chemistry, Analytical

Photocatalytic degradation of organic pollutants and detection of chemical oxygen demand by fluorescence methods

Chengfang Li et al.

SENSORS AND ACTUATORS B-CHEMICAL (2009)

Article Agriculture, Multidisciplinary

Detection and identification of bacteria in an isolated system with near-infrared spectroscopy and multivariate analysis

Dimitris Alexandrakis et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2008)

Review Chemistry, Multidisciplinary

Generation of low-molecular-weight organic compounds in water by titania photocatalyst under UV-Vis light radiation

Eiji Watanabe et al.

RESEARCH ON CHEMICAL INTERMEDIATES (2008)

Article Environmental Sciences

Factor analysis and linear regression model (LRM) of metal speciation and physico-chemical characters of groundwater samples

M. Kumaresan et al.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2008)

Article Environmental Sciences

Assessment of water pollution in different bleaching based paper manufacturing and textile dyeing industries in India

K. Ranganathan et al.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2007)

Article Chemistry, Physical

Study of heterogeneous suspensions:: A new quantitative approach coupling laser granulometry and UV-vis spectrophotometry

S Bayle et al.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2005)

Review Physiology

Principles, techniques, and limitations of near infrared spectroscopy

M Ferrari et al.

CANADIAN JOURNAL OF APPLIED PHYSIOLOGY-REVUE CANADIENNE DE PHYSIOLOGIE APPLIQUEE (2004)

Article Chemistry, Physical

Study of UV-vis responses of mineral suspensions in water

C Berho et al.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2004)

Article Engineering, Environmental

Monitoring of a paper mill wastewater treatment plant using UV/VIS spectroscopy

G Langergraber et al.

WATER SCIENCE AND TECHNOLOGY (2004)

Article Chemistry, Physical

Wastewater suspended solids study by optical methods

N Azema et al.

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS (2002)