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Thanks to the use of irm-NMR the results show a unique isotopic fingerprint for each TNT which enable origin discrimination between the samples without ambiguity. Nucleic acid-based biosensors have become powerful tools in biomedical applications. But the stability issue seriously limits their wide applications. Fortunately, the emergence of carbon nanoparticles (CNPs), which can effectively protect DNA probes from enzymatic digestion and unspecific protein binding, provides a good solution. In this work, a DNase I-aided cyclic enzymatic amplification method (CEAM) for microRNA analysis has been developed based on the coupling use of nucleic acid probes with specific molecular recognition ability as well as CNPs with excellent biostability. The method is simple and sensitive, with a detection limit down to 3.2 pM. Furthermore, satisfactory results are achieved for miRNA analysis in breast cancer cell lysate, demonstrating the applicability in disease diagnosis. The ingenious combination of CNPs and nucleic acid probes can open a new chapter in the development of versatile analytical strategies that holds great potentials for clinical diagnosis, food safety, and environmental monitoring. Lead ions are deleterious pollutants that often reach drinking water, and can cause significant harm to humans (particularly children). An ultra-sensitive lead ion detection method using a whispering gallery mode (WGM) optofluidic microbubble resonator and the classic GR-5 DNAzyme is proposed in this paper. With the auxiliary piranha and Ploy-l-lysine solution, GR-5 DNAzyme was successfully modified on the inner wall of a microbubble. The mode field distribution of the microbubble was analysed, and the optofluidic sensor with thin wall exhibited a maximum bulk refractive index sensitivity of 265.2 nm/RIU. Lead ions at concentrations ranging from 0.1 pM to 100 pM were tested using the proposed WGM optofluidic sensor. The noise was decreased to 2.43 fM using the self-referenced differential method. Thus, a limit of approximately 15 fM was obtained for the detection of lead ions using the WGM optofluidic biosensor. Eight competing metal ions were also used to evaluate the selectivity of the proposed sensor, with results indicating that it has high selectivity for lead ions. Finally, the sensor performance is verified using real samples. Ion mobility (IM) mass spectrometry allows conducting data independent acquisition (DIA) where all ions entering the instrument are fragmented based on their drift time. In this work, DIA operational parameters were first optimized using a design of experiments. The optimization of data treatment involved a smoothing algorithm of the IM dimension, which increased the number of identified peptides. Then, classical DDA and IM-based DIA were compared injecting increasing amounts of a complex proteome digest (E. coli). Results revealed that compared to DDA, DIA allowed to identify from 2 to 3.3 times more proteins, depending on the injected quantity. To evaluate proteome coverage, endogenous proteins in E. coli cells were sorted by abundance deciles. A large majority of the proteins uniquely observed in DDA were part of the 10% most abundant protein groups. Interestingly, owing to the absence of ion-picking algorithm, DIA allowed to identify proteins coming from a broader concentration range therefore greatly improving proteome coverage. Furthermore, ion mobility separation improved coverage by separating co-eluting peptides. Physicochemical properties of peptides uniquely detected by DIA or DDA were also compared using supervised and unsupervised multivariate analysis. As a result, peptides having a higher mass and being relatively hydrophobic were significantly more identified in DIA. Finally, semi-quantitative performance of both methods was investigated and proved to be comparable, except that DIA demonstrated a better sensitivity than DDA. As a conclusion, we demonstrated in this study that both acquisition modes provide complementary information about the proteome under investigation. Accurate sensitive analysis of drug ingredient substances in biological, pharmaceutical and environmental samples and removal of drug ingredient substances in environmental samples owngreat importance for sustaining viability. The realization of these processes using a single material offers significant advantages in terms of cost, time and ease of use. In this study, TiO2 nanoparticles and C-Nanofibers modified magnetic Fe3O4 nanospheres (TiO2@Fe3O4@C-NFs) synthesized as a multifunctional material employing a simple hydrothermal synthesis method. This innovative material was exploited in the magnetic solid-phase extraction (MSPE) method for the preconcentration of ibuprofen and photocatalytic degradation of antibiotics, non-steroidal anti-inflammatory drugs (NSAIDs), and azo dye. To our knowledge, no studies have been previously conducted using the same material as magnetic solid-phase extraction adsorbent and magnetically separable photocatalyst. The characterization of TiO2@Fe3O4@C-NFs was carried out by XRD, FE-SEM, EDX and Raman techniques. The main analytical parameters affecting MSPE performance of ibuprofen such as pH, sorbent amount eluent type and volume and sample volume were optimized. The optimum values of the method were determined at the following parameters pH 4.0, adsorbent amount 150 mg and eluent 2 mL of acetone. Ibuprofen analysis after MSPE was carried out using a high-performance liquid chromatography diode array detection system (HPLC-DAD). The photocatalytic degradation efficiencies of TiO2@Fe3O4@C-NF hybrid material for probe-analytes reached 80-100% and the complete degradation attained within the range of 8-125 min under UV irradiation. Simple preparation, practical isolation from solutions, high efficiency, reproducibility, and sustainability are the main advantages of the TiO2@Fe3O4@C-NFs for MSPE and photocatalytic degradation applications. Specific detection of Plasmodium vivax lactate dehydrogenase (PvLDH), an important biomarker of malaria, remains a significant challenge. Herein, adenosine monophosphate protected gold-silver bimetallic nanoclusters, Au-AgNCs@AMP were used as a specific and sensitive fluorescence probe to detect PvLDH. After optimizing, a linear response was shown over a wide concentration range (10-100 nM) and an extremely low limit of detection (LOD) at 0.10 nM (3.7 ng mL-1) was achieved finally. Albeit the method was able to detect PvLDH sensitively, it could not discriminate different types of LDHs. Consequently, Al3+ was employed as an “assistant agent”, which induced an assay capacity to discriminate PvLDH from other LDHs. The bimetallic nanoclusters inhibited the activity of PvLDH, suggesting it bound near the active site of PvLDH with high affinity. AEBSF mouse Zeta potential and UV-vis absorption experiments showed that electrostatic interaction was the main driving force for the interaction between the nanoclusters and PvLDH. Through chemical modification it indicated free thiol groups in PvLDH played an implant role in the interaction.