Yi Xu's research while affiliated with Jimei University and other places

... Therefore, researchers have tried to use new technology to inhibit bacteria. 4,5 As it is well-known, photocatalysis is a kind of water treatment technology with high efficiency, high mineralization rate, and low cost, which provides a good strategy for tetracycline removal and bacterial inactivation. [6][7][8] Bismuth oxychloride (BiOCl) is one of the ternary bismuthbased semiconductors with a special layered structure. ...

... To on-site quantitatively measure sulfite in food, fluorescent sensors need to have the following characteristics: (1) The fluorescent sensors preferably respond to sulfite in the near-infrared (NIR) fluorescence range (650-900 nm), as the fluorescence in this range might reduce the interference of autofluorescence in food samples [33][34][35]. (2) The fluorescent sensors should exhibit a ratiometric fluorescence response to sulfite as it could effectively eliminate the fluorescence intensity errors originating from sensor distribution, excitation light intensity, photobleaching [36][37][38], etc. (3) Fluorescent sensors are better for displaying colorimetric responses to sulfite, because both fluorescence and colorimetric dual-signal responses to sulfite will make the measurement more reliable [39][40][41][42]. Therefore, the development of a colorimetric and NIR fluorescent sensor for the on-site quantitative measurement of sulfite in food samples is in great demand. ...

... Near-infrared (NIR)-excited upconversion fluorescence strategies represented by lanthanide-doped upconversion nanoparticles (UCNPs) are receiving much attention in the fields of cell imaging and tumor therapy [56]. Recently, the upconversion strategy has also been applied to HCR-based fluorescence detection of foodborne pathogens [57], where the HCR technique amplifies the strongly stabilized fluorescence signal, in addition to the NIR excitation mode, which also has the potential to penetrate deeply into food monitoring. ...

... It has been included in this section because it is a novel multiplexing strategy. Rather than directly measuring the toxins, He et al. (2023) developed a SERS-based platform for predicting content of AFB1, OTA, and ochratoxin B (OTB) in spiked rice. The procedure used 'flower-like' silver nanoparticles made with different sized polyvinylpyrrolidone polymers with K values of 15,30,and 60 (i.e. ...

... Refs. [5,[42][43][44][45][46][47][48] ...

... Currently, machine learning (ML) algorithms have unparalleled advantages in dealing with large sample sizes, uncovering subtle connections and complex nonlinear relationships between multiple clinical parameters and drug concentration. 19,20 ML-based models have been widely applied in pharmacy. For example, by different ML algorithms, the drug concentration is used as the output (dependent variable) and the patient's clinical parameters and demographic information, etc. are used as the inputs (covariate) to construct concentration prediction models for various drugs (tacrolimus, 21 cyclosporine, 22 teicoplanin, 23 In this study, each VCM trough concentration was treated as a separate data point and analysed independently (i.e., some patients may have >1 VCM trough concentration, each of which is processed independently). ...

... In another research study, a micro-dSPE technique was developed to extract aflatoxins from wheat and peanut samples (Zhu et al., 2022). The dispersive technique used a fabricated ZnO nanoflower sorbent in an ionic liquid. ...

... c Schematic representation of Staphylococcus aureus detection based on the target-responsive release of 4-ATP from aptamer-gated MSNs [68]. d Schematic of the Staphylococcus aureus detection based on Au@Ag/ HCR-assisted Au-magnetic [69] molecule (4-aminothiophene (4-ATP)) in aptamer-gated aminated mesoporous silica nanoparticles (MSNs) with surface-enhanced Raman scattering (SERS) technology [68]. After the aptamer recognized Staphylococcus aureus, the signal molecule 4-ATP in the MSNs hole was released, and the released SERS signal of 4-ATP was measured. ...

... In general, there have been major recent advances in clinical SERS applications for the rapid and accurate detection of bacterial pathogens [25][26][27], whereby the studies confirm the great potential of integrating SERS techniques and machine learning algorithms for the rapid and reliable identification of various bacterial pathogens, but the authors always point out the still existing wide gap between basic research and the clinical application of SERS technology. Likewise, in the food industry [28][29][30], time is crucial for product safety and a long shelf life. It might be important to mention that there are also culture-related influences on a microbial Raman spectrum, e.g. ...

... The linear dependence between the intensity of the absorption of the AuNPs-TBAP complex read at 637 nm and the CHL concentration in the range between 3.58 × 10 −6 M and 3.37 × 10 −5 M is characterized by a very good coefficient of correlation (99.44%), as presented in Figure 13. As can be concluded from the two experiments, the first one using the solely acidified TBAP-azaporphyrin and the second one being based on the same porphyrin synergistically complexed with AuNPs, these two methods are complementary, extending the detection of chloramphenicol from 3.58 × 10 −6 M to 3.37 × 10 −5 M, a domain that represents the relevant field for detecting the CHL levels in the human body fluids [65,66] and food [67][68][69], and in the industries where one must monitor for environmental control [70]. ...