From Bench to Field: Evolving Analytical Techniques in Environmental Testing

Authors

  • Xiaoguang Zhang

    Department of Intelligent Agriculture, West Yunnan University of Applied Sciences, Dali 671006, China
  • Minshou Wang

    Department of Intelligent Agriculture, West Yunnan University of Applied Sciences, Dali 671006, China
  • Tongqi Liu

    Department of Intelligent Agriculture, West Yunnan University of Applied Sciences, Dali 671006, China
  • Shuxiang Li

    Department of Intelligent Agriculture, West Yunnan University of Applied Sciences, Dali 671006, China
  • Yingmei Yang

    Department of Intelligent Agriculture, West Yunnan University of Applied Sciences, Dali 671006, China
  • Mingxiao Chen

    Department of Intelligent Agriculture, West Yunnan University of Applied Sciences, Dali 671006, China
  • Zhen Ke

    Boding Shihua (Beijing) Technology Co., Ltd., Beijing 100191, China

DOI:

https://doi.org/10.30564/jees.v8i8.13639
Received: 13 June 2026 | Revised: 30 June 2026 | Accepted: 14 July 2026 | Published Online: 14 August 2026

Abstract

The field of environmental testing is rapidly changing from laboratory-based measurements to field-deployable, real-time, and data-integrated monitoring systems. Conventional methods such as chromatography, mass spectrometry, atomic spectroscopy, and molecular spectroscopy remain essential due to their high sensitivity, selectivity, reproducibility, and regulatory confidence. They are, however, limited in their usefulness due to the need for lab facilities, complicated preparation, and reporting lag times under changing environmental conditions. This review’s distinctive contribution is the development of a hybrid bench-to-field monitoring framework that conceptualizes environmental testing as an integrated system rather than a collection of separate analytical techniques. In this framework, laboratory-based methods provide reference accuracy, confirmatory power, and regulatory defensibility, while field-deployable sensors, portable instruments, remote platforms, and IoT-enabled networks provide rapid screening, spatial coverage, real-time warning, and adaptive decision support. By linking analytical performance, field applicability, data analytics, validation, uncertainty assessment, and regulatory translation, the review provides a conceptual pathway for transforming emerging technologies into reliable environmental monitoring systems. There is a key lesson here: future environmental testing will not be based on the elimination of lab testing practices, but on the ability to marry lab accuracy and field responsiveness. The use of hybrid monitoring frameworks and chemometrics, artificial intelligence tools, validation protocols, and uncertainty assessment will be key to producing reliable, actionable, and scientifically defensible environmental data.

Keywords:

Environmental Testing; Field-Deployable Sensors; Sample Preparation; Real-Time Monitoring; Analytical Validation

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How to Cite

Zhang, X., Wang, M., Liu, T., Li, S., Yang, Y., Chen, M., & Ke, Z. (2026). From Bench to Field: Evolving Analytical Techniques in Environmental Testing. Journal of Environmental & Earth Sciences, 8(8), 771–798. https://doi.org/10.30564/jees.v8i8.13639

Issue

Vol. 8 , Iss. 8 (August 2026): In Progress

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Review

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Copyright © 2026 Xiaoguang Zhang, Minshou Wang, Tongqi Liu, Shuxiang Li, Yingmei Yang, Mingxiao Chen, Zhen Ke

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This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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