Volatile organic compounds (VOCs) in wastewater: Recent advances in detection and quantification

[Display omitted] •Volatile organic compounds (VOCs) are a major source of air pollution and can have a significant impact on human health and the environment.•This review summarizes the latest developments in sample preparation methods, instrumentation, and numerical and computational approaches used to detect and quantify VOCs in wastewater.•This article provides valuable insights into the development of methodologies for monitoring VOCs in wastewater.•The review outlines the advantages and limitations of different VOC detection techniques as well as the challenges associated with VOCs monitoring in wastewater.•The insights presented will aid in the development of more accurate and efficient VOC monitoring methods for wastewater, thereby helping to protect human health and the environment. Volatile organic compounds (VOCs) are a major source of air pollution, significantly affecting both human health and the environment. These VOCs from wastewater can enter the atmosphere through air–water exchange and pose a great threat to human health, as the quality of our environment has consequences for agriculture, drinking water, pollution, greenhouse effect, and so on. Gas chromatography (GC) is one of many techniques for detecting VOCs. Recent research has explored the integration of various detectors with GC, such as mass spectrometers, flame ionization detectors, ion mobility spectrometers, and thermal conductivity detectors. While GC remains a cornerstone in VOC detection, other techniques are also gaining significant attention. Notably, emerging technologies such as different types of E-nose and acoustic wave sensing devices offer promising results for VOC detection. Additionally, the evolution of data processing for VOCs through statistical and numerical methods, as well as the incorporation of artificial intelligence methodologies with smart sensing devices, further broadens the horizon of VOC detection and quantification. Apart from the well-established GC suite of experimental VOC detection and measurement tools, much progress has recently been made in the development of relatively inexpensive and portable semiconductor metal oxides-, conducting polymers-, and carbon nanomaterials-based E-nose and surface acoustic wave sensing devices for VOC sensing and quantification. Another significant development in wastewater VOC detection and characterization is the adoption of artificial intelligence tools such as machine learning and deep learning that have sho