Jiaying Weng

1 INTRODUCTION Regression models with general types of responses have recently received extensive attention from statisticians and field experts due to their wide applications in real-world problems. See, for instance, various regression models for images, shapes, tensors, and densities (Li & Zhang, 2017; Petersen & Müller, 2016; Peyré, 2009; Small, 2012).

I. Ahmad, J. Weng, A. J. Stromberg, J. Z. Hilt and T. D. Dziubla, Analyst, 2019, Advance Article , DOI: 10.1039/C8AN00867A If you are not the author of this article and you wish to reproduce material from it in a third party non-RSC publication you must formally request permission using Copyright Clearance Center. Go to our Instructions for using Copyright Clearance Center page for details.

Despite increasing controls in their production and disposal, persistent organic pollutants in water, even at concentrations below parts per million, represent an ongoing environmental health risk. Despite this concern, the detection of these compounds in water sources rely upon expensive, time consuming approaches that do not permit frequent monitoring and evaluation. In this work, a new fluorescence-based technique is presented for the detection of Polychlorinated biphenyls (PCBs) in water.