The invention discloses a
biological activity detection method and device based on
deep learning, and relates to the technical field of biological detection.The
biological activity detection method comprises the steps that firstly, a conjugated
polymer probe containing
triphenylamine and methylimidazole active units is prepared through Suzuki
coupling reaction, and the aggregation-induced
quenching effect is inhibited; carrying out standardized centrifugal
impurity removal and
dilution constant volume treatment on the sample, and collecting spectrum and RGB signals by combining a fluorospectro
photometer and a portable device; and finally, realizing accurate detection and
chain length distinguishing of the low-concentration pollutants by utilizing
linear fitting and
linear discriminant analysis algorithms. The device comprises a detection table, a multifunctional linkage mechanism and a self-adjusting
protection mechanism are integrated, and accurate sample positioning, elastic buffering clamping and multi-angle posture adjustment are achieved through meshing transmission. The problems of low sensitivity, poor specificity, insufficient device suitability and the like of traditional detection are solved, the detection reliability and the scene suitability are improved, and the method is suitable for the fields of environment monitoring, food detection and the like.