Nanobiosensors have played a key role as portable devices in the rapid breast cancer diagnosis and in clinical medicine like point-of-care devices.  https://www.selleckchem.com/products/Erlotinib-Hydrochloride.html  However, understanding biomarkers and nanomaterials is crucial for improving the performance of nanobiosensors for all stages of different diseases or treatment. Therefore, this study not only investigates the effect of biomarkers and nanomaterials such as metallic, carbon structures and quantum dot on the accuracy of nanobiosensors for early detection of breast cancer, but also exhibits how they are used in vivo and in vitro and their application in point-of-care devices for personalized cancer diagnosis. Afterwards, application of fluidics and microchips as point-of-care nanobiosensors in the early detection of biomarkers associated with breast cancer diagnosis was discussed. Furthermore, the integration of nanobiosensors in nanomotors platforms for the treatment of breast cancer was overviewed. Finally, the ongoing challenges and future trends on the detection limit of nanobiosensors, their application in point-of-care clinical diagnostics and the approaches implemented for their improvements by highlighting the successful reports on the revolution of personalized diagnostics were surveyed.Vitamin B12 is very important for human metabolism and its deficiency can cause anemia and the production of large red blood cells. An increased concentration of methylmalonic acid (MMA) is detected much before the transformation of blood cells, which thereby is an early indicator for mild or serious Vitamin B12 deficiency. A simple electrochemical sensor based on Palladium-Gold (PdAu) was developed by electrodeposition of PdAu nanoparticles on Polypyrrole (PPy) modified carbon fiber paper (CFP) electrode. The modified electrodes were characterized by High resolution transmission electron microscopy (HRTEM), Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and electroanalytical techniques. Differential Pulse Voltammetric (DPV) studies have established that under optimum conditions, the developed sensor exhibits a broad linear dynamic range (4.01 pM - 52.5 nM) with a very low detection limit (1.32 pM). The proposed method was effectively applied in the non-enzymatic determination of MMA at an ultralow level in human blood serum and urine samples. The method displayed high selectivity toward MMA in the presence of other interfering substances.Circular RNAs (circRNAs), as a class of newly emerging biomarkers, have shown to be associated with many fundamental life processes and diseases, especially cancer. However, various limitations in currently available detection methods have seriously restricted the development of the studies associated with circRNA's biological functions and the diagnosis of diseases by using circRNA as the biomarker. By specifically designing a pair of stem-loop primers (SLPs) exactly recognize the junction sequence of circRNA, we firstly establish a SLP induced double exponential amplification method for sensitive and specific detection of circRNA with the ability to directly discriminate circRNA from linear RNA. Through the extension of SLPs during thermo cycles, one circRNA can generate a large amount of double stem-loop structure DNA which can initiate the subsequent isothermal amplification, leading to the sensitive detection of as low as 10 aM circRNA which is the most sensitive method for circRNA detection up to now. The proposed method has successfully applied to the detection of circRNA in many kinds of cancer cells in homogeneous solution without any separation step.A simple, accurate, and environmentally friendly method for the simultaneous determination of the analog endocrine disruptors bisphenol S (BPS) and bisphenol A (BPA) was developed and validated. The determination was performed by square-wave voltammetry using a cathodically pretreated boron-doped diamond (BDD) as the working electrode, with 0.1 mol L-1 H2SO4 as the supporting electrolyte. Under optimized conditions, a wide linear working range (R2 = 0.999) from 0.20 to 80.0 mg L-1 with a limit of detection (S/N = 3) of 0.060 mg L-1 was attained for BPS. For BPA, a linear correlation (R2 = 0.992) was attained from 0.10 to 50.0 mg L-1, with a limit of detection of 0.030 mg L-1. As far as we could ascertain, these are the lowest limits of detection and the widest linear ranges in the literature for this determination. The method was applied to the simultaneous determination of BPS and BPA in real water samples, with minimum sample preparation processes (dilution and acidification only). Excellent recovery values were achieved, ranging from 95 to 99%. Additionally, the method was successfully applied to the monitoring of the electrochemical degradation (anodic oxidation) of BPS using a recirculating flow system fitted with a BDD anode. The decay of [BPS] with time was also checked by an HPLC method, with results statistically similar to those obtained by the proposed electroanalytical method. Hence, the proposed method is a reliable, greener, and low-cost alternative to monitor simultaneously BPS and BPA in aquatic matrices or only BPS in wastewater treatment processes.Orange juice is one of the most consumed fruit juices worldwide and its adulteration has been a long-lasting concern. In this study, an untargeted volatile metabolomics using a comprehensive two-dimensional gas chromatography-quadrupole mass spectrometry (GC × GC-qMS) was developed to systematically authenticate orange juice. At least 405 citrus whole fruits were collected, belongs to 58 types of orange samples and 23 types of non-orange citrus. The fruit juices were prepared in the laboratory and analyzed using the comprehensive GC × GC-qMS instrument. After optimizing the instrumental settings, this novel method was able to identified ~250 volatiles in each juice sample, covering a variety types of hydrocarbons, esters, alcohols, aldehydes, ketones and others. Combining with unsupervised principal component analysis and supervised partial least squares-discriminant analysis , this novel analytical tool was able to authenticate orange juice from a broad perspectives with a high accuracy in the cross-validation model 1) differentiating orange juice from non-orange citrus juice (99% accuracy), 2) recognizing orange harvesting years (100% accuracy) and geographical origins (96% accuracy), and 3) distinguishing original pure orange juice from the reconstituted juice (94% accuracy).