A universal and ultrasensitive immunochromatographic assay (ICA) was established using antigen as a bifunctional element and antialbumin antibody in a test line. Preincubation was introduced for competitive recognition. After optimization, the linear detection of aflatoxin M1 (AFM1) with quantum dot bead (QB)-based ICA (QB-ICA) sensor ranged from 10 to 52 pg mL–1, with a 50% inhibitory concentration (IC50) of 23 pg mL–1, which was nearly 49.6-fold lower than those of ICA on a traditional structure with traditional pretreatment (IC50 = 1.10 ng mL–1) and 10-fold lower than those of ICA on a traditional structure with acid aid pretreatment (IC50 = 0.25 ng mL–1). The limit of detection (LOD) for AFM1 was 16 pg mL–1 in milk, which was approximately 16.3-fold times higher than those of ICA on a traditional structure with traditional pretreatment and 6.3-fold higher than those of ICA on a traditional structure with acid aid pretreatment. The LOD improved by 20-fold by using the proposed structure compared to that of conventional enzyme-linked immunosorbent assay (ELISA) for AFM1-spiked milk samples (IC10 = 0.12 ng mL–1). The performance and practicability of the established QB-ICA sensor were validated with a commercial ELISA kit. To evaluate universality, we successfully detected chloramphenicol, with IC50 of 0.42 ng mL–1. Given its high sensitivity and universality, the proposed QB-ICA can be used as an alternative for rapid, sensitive, and universal quantitative detection of all small-molecule analytes.

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Accurate and comprehensive immunochromatographic assay (ICA) data are urgently required in the daily supervision of plants, schools, testing institutions, and law-enforcing departments. Through pretreatment-integration and device-facilitated operation, a quantitative ICA with high sensitivity and throughput was realized on the basis of a commercialized semi-quantitative ICA strip. Three pretreatment methods, namely, acid base, heavy metal salt, and organic solvent methods, have less than three steps. The pretreatment was established for protein removal. A total of 17 pretreated ICA items in milk were considered for the identification of the most suitable pretreatment method. The items are composed of six items pretreated by the acid-base method, six by the heavy salt method, and five by the organic solvent method. Then, the ICA results with pretreatment were compared with those without pretreatment. After pretreatment, the signal intensity increased by 39%, the detection limit decreased to 12%, the half maximal inhibitory concentration decreased to 18%, and the detection range increased fourfold. A device with mixing and centrifugation functions was designed for the pretreatment-related operations. A pre-incubation sampling device was used to facilitate incubation in batch and high-throughput detection. An ICA reader was used. The detection throughput reached 8 samples per batch or 32 samples per hour. The designed devices were printed through 3D printing and rapid prototyping.

A quantum dot bead based immunochromatographic assay was established for T-2 toxin with a limit of detection of 0.08 ng mL−1.