Intelligent quantification of formaldehyde in aquatic product soaking solutions via a novel deep regression framework (opens in new tab)

IntroductionThe illicit use of formaldehyde (FA) as a preservative in aquatic products poses grave public health risks due to its proven carcinogenicity. While gold-standard techniques like HPLC offer high precision, their implementation in real-time surveillance is hindered by labor-intensive pre-treatment and reliance on expensive instrumentation, necessitating intelligent, non-destructive sensing platforms.MethodsWe present Res-Reg, a novel image-to-value deep regression framework optimize...