Publications by authors named "Liqin Kong"

This study presents the development of a magnetic relaxation switching (MRS) immunosensor for the sensitive detection of chlorpyrifos (CPF) with a signal amplification strategy using Pd/Cu-TCPP(Fe) hybrid nanosheets and polydopamine (PDA). Pd/Cu-TCPP(Fe) nanosheets, which exhibit high peroxidase-like activity and excellent storage stability, making them suitable replacements for natural enzymes in biosensors, are further functionalized with goat anti-mouse IgG (Ab) to construct an immunosensor. The mechanism relies on the competition between free CPF and the immobilized bovine serum albumin-CPF conjugates for antibody binding, which modulates the aggregation of magnetic nanoparticles (MNPs) that are related to the transverse relaxation time.

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Umami substances play a significant role in the evaluation of food quality, and their synergistic enhancement is of great importance in improving and intensifying food flavors and tastes. Current biosensors available for umami detection still confront challenges in simultaneous quantification of multiple umami substances and umami intensities. In this study, an innovative dual-channel magnetic relaxation switching taste biosensor (D-MRSTB) was developed for the quantitative detection of representative umami substances.

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The development of biosensors capable of assessing umami intensity has elicited significant attention. However, the detection range of these biosensors is constrained by the sensing components and strategies used. In this study, we introduce a novel competitive, ultra-high-sensitivity impedance biosensor by utilizing composite nanomaterials and T1R1 as a composite signal probe.

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Umami substances can provide a palatable flavour for food. In this study, an electrochemical impedimetric biosensor was developed for detecting umami substances. This biosensor was fabricated by immobilising T1R1 onto AuNPs/reduced graphene oxide/chitosan which was in advance electro-deposited onto a glassy carbon electrode.

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Umami substances are nutrients to humans, and their synergistic effect is associated with food acceptance. In this study, a new biosensor was developed to detect umami substances, their synergistic effect, and detection kinetics. Porcine taste-bud tissues were used as the sensing element, and the umami substance signals were characterized using an electrochemical workstation.

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A universal method by considering different types of culture media can enable convenient classification of bacterial species. The study combined hyperspectral technology and versatile chemometric algorithms to achieve the rapid and non-destructive classification of three kinds of bacterial colonies (, and ) cultured on three kinds of agar media (Luria-Bertani agar (LA), plate count agar (PA) and tryptone soy agar (TSA)). Based on the extracted spectral data, partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) were employed to established classification models.

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