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A Review on Electrochemical Sensors and Biosensors Used in Phenylalanine Electroanalysis.
Dinu, A, Apetrei, C
Sensors (Basel, Switzerland). 2020;(9)
Abstract
Phenylalanine is an amino acid found in breast milk and in many foods, being an essential nutrient. This amino acid is very important for the human body because it is transformed into tyrosine and, subsequently, into catecholamine neurotransmitters. However, there are individuals who were born with a genetic disorder called phenylketonuria. The accumulation of phenylalanine and of some metabolites in the body is dangerous and may cause convulsions, brain damage and mental retardation. Determining the concentration of phenylalanine in different biologic fluids is very important because it can provide information about the health status of the individuals envisaged. Since such determinations may be made by using electrochemical sensors and biosensors, numerous researchers have developed such sensors for phenylalanine detection and different sensitive materials were used in order to improve the selectivity, sensitivity and detection limit. The present review aims at presenting the design and performance of some electrochemical bio (sensors) traditionally used for phenylalanine detection as reported in a series of relevant scientific papers published in the last decade.
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2.
Considering the Effects of Microbiome and Diet on SARS-CoV-2 Infection: Nanotechnology Roles.
Kalantar-Zadeh, K, Ward, SA, Kalantar-Zadeh, K, El-Omar, EM
ACS nano. 2020;(5):5179-5182
Abstract
The impact of dietary patterns and the commensal microbiome on susceptibility to and severity of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has been largely ignored to date. In this Perspective, we present a rationale for an urgent need to investigate this possible impact and therapeutic options for COVID-19 based on dietary and microbiome modifications. The mitigating role of nanotechnology with relation to the impact of SARS-CoV-2 virus is highlighted.
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3.
What biologists want from their chloride reporters - a conversation between chemists and biologists.
Zajac, M, Chakraborty, K, Saha, S, Mahadevan, V, Infield, DT, Accardi, A, Qiu, Z, Krishnan, Y
Journal of cell science. 2020;(2)
Abstract
Impaired chloride transport affects diverse processes ranging from neuron excitability to water secretion, which underlie epilepsy and cystic fibrosis, respectively. The ability to image chloride fluxes with fluorescent probes has been essential for the investigation of the roles of chloride channels and transporters in health and disease. Therefore, developing effective fluorescent chloride reporters is critical to characterizing chloride transporters and discovering new ones. However, each chloride channel or transporter has a unique functional context that demands a suite of chloride probes with appropriate sensing characteristics. This Review seeks to juxtapose the biology of chloride transport with the chemistries underlying chloride sensors by exploring the various biological roles of chloride and highlighting the insights delivered by studies using chloride reporters. We then delineate the evolution of small-molecule sensors and genetically encoded chloride reporters. Finally, we analyze discussions with chloride biologists to identify the advantages and limitations of sensors in each biological context, as well as to recognize the key design challenges that must be overcome for developing the next generation of chloride sensors.
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4.
Advances in Sensing Technologies for Monitoring of Bone Health.
Rani, S, Bandyopadhyay-Ghosh, S, Ghosh, SB, Liu, G
Biosensors. 2020;(4)
Abstract
: Changing lifestyle and food habits are responsible for health problems, especially those related to bone in an aging population. Poor bone health has now become a serious matter of concern for many of us. In order to avoid serious consequences, the early prediction of symptoms and diagnosis of bone diseases have become the need of the hour. From this inspiration, the evolution of different bone health monitoring techniques and measurement methods practiced by researchers and healthcare companies has been discussed. This paper focuses on various types of bone diseases along with the modeling and remodeling phenomena of bones. The evolution of various diagnosis tests for bone health monitoring has been also discussed. Various types of bone turnover markers, their assessment techniques, and recent developments for the monitoring of biochemical markers to diagnose the bone conditions are highlighted. Then, the paper focuses on the potential assessment of the recent sensing techniques (physical sensors and biosensors) that are currently available for bone health monitoring. Considering the importance of electrochemical biosensors in terms of high sensitivity and reliability, specific attention has been given to the recent development of electrochemical biosensors and significance in real-time monitoring of bone health.
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5.
Recent advancements in fabrication of nanomaterial based biosensors for diagnosis of ovarian cancer: a comprehensive review.
Sha, R, Badhulika, S
Mikrochimica acta. 2020;(3):181
Abstract
Ovarian cancer is commonly diagnosed via determination of biomarkers like CA125, Mucin 1, HE4, and prostasin that can be present in the blood. However, there is a substantial need for less expensive, simpler, and portable diagnostic tools, both for timely diagnosis and management of ovarian cancer. This review (with 101 refs.) discusses various kinds of nanomaterial-based biosensors for tumor markers. Following an introduction into the field, a first section covers different kinds of biomarkers for ovarian cancer including CA125 (MUC16), mucin 1 (MUC1), human epididymis protein 4 (HE4), and prostasin. This is followed by a short overview on conventional diagnostic approaches. A large section is then presented on biosensors for determination of ovarian cancer, with subsections on optical biosensors (fluorimetric, colorimetric, surface plasmon resonance, chemiluminescence, electrochemiluminescence), on electrochemical sensors, molecularly imprinted sensors, paper-based biosensors, microfluidic (lab-on-a-chip) assays, chemiresistive and field effect transistor-based sensors, and giant magnetoresistive sensors. Tables are presented that give an overview on the wealth of methods and materials. A concluding section summarizes the current status, addresses current challenges, and gives an outlook on potential future trends. Graphical abstract Schematic representation of the review covering the advancements in the fabrication of various nanomaterial based biosensors for diagnosis of ovarian cancer.
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6.
Genetically encoded biosensors based on innovative scaffolds.
Moeyaert, B, Dedecker, P
The international journal of biochemistry & cell biology. 2020;:105761
Abstract
Genetically encoded biosensors are indispensable tools for visualizing the spatiotemporal dynamics of analytes or processes in living cells in vitro and in vivo. Their widespread adaptation has gone hand in hand with the development of sensors for new analytes or processes and improved functionality and robustness. In this review, we highlight some of the recent advances in genetically encoded biosensor development, with a special focus on novel and innovative scaffolds that will lead to new possibilities in the future.
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7.
Nanobiotechnology approaches for engineering smart plant sensors.
Giraldo, JP, Wu, H, Newkirk, GM, Kruss, S
Nature nanotechnology. 2019;(6):541-553
Abstract
Nanobiotechnology has the potential to enable smart plant sensors that communicate with and actuate electronic devices for improving plant productivity, optimize and automate water and agrochemical allocation, and enable high-throughput plant chemical phenotyping. Reducing crop loss due to environmental and pathogen-related stresses, improving resource use efficiency and selecting optimal plant traits are major challenges in plant agriculture industries worldwide. New technologies are required to accurately monitor, in real time and with high spatial and temporal resolution, plant physiological and developmental responses to their microenvironment. Nanomaterials are allowing the translation of plant chemical signals into digital information that can be monitored by standoff electronic devices. Herein, we discuss the design and interfacing of smart nanobiotechnology-based sensors that report plant signalling molecules associated with health status to agricultural and phenotyping devices via optical, wireless or electrical signals. We describe how nanomaterial-mediated delivery of genetically encoded sensors can act as tools for research and development of smart plant sensors. We assess performance parameters of smart nanobiotechnology-based sensors in plants (for example, resolution, sensitivity, accuracy and durability) including in vivo optical nanosensors and wearable nanoelectronic sensors. To conclude, we present an integrated and prospective vision on how nanotechnology could enable smart plant sensors that communicate with and actuate electronic devices for monitoring and optimizing individual plant productivity and resource use.
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8.
Biosensors for early diagnosis of pancreatic cancer: a review.
Qian, L, Li, Q, Baryeh, K, Qiu, W, Li, K, Zhang, J, Yu, Q, Xu, D, Liu, W, Brand, RE, et al
Translational research : the journal of laboratory and clinical medicine. 2019;:67-89
Abstract
Pancreatic cancer is characterized by extremely high mortality and poor prognosis and is projected to be the leading cause of cancer deaths by 2030. Due to the lack of early symptoms and appropriate methods to detect pancreatic carcinoma at an early stage as well as its aggressive progression, the disease is often quite advanced by the time a definite diagnosis is established. The 5-year relative survival rate for all stages is approximately 8%. Therefore, detection of pancreatic cancer at an early surgically resectable stage is the key to decrease mortality and to improve survival. The traditional methods for diagnosing pancreatic cancer involve an imaging test, such as ultrasound or magnetic resonance imaging, paired with a biopsy of the mass in question. These methods are often expensive, time consuming, and require trained professionals to use the instruments and analyze the imaging. To overcome these issues, biosensors have been proposed as a promising tool for the early diagnosis of pancreatic cancer. The present review critically discusses the latest developments in biosensors for the early diagnosis of pancreatic cancer. Protein and microRNA biomarkers of pancreatic cancer and corresponding biosensors for pancreatic cancer diagnosis have been reviewed, and all these cases demonstrate that the emerging biosensors are becoming an increasingly relevant alternative to traditional techniques. In addition, we discuss the existing problems in biosensors and future challenges.
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9.
Comparative review of the recent enzymatic methods used for selective assay of l-lysine.
Isobe, K, Matsui, D, Asano, Y
Analytical biochemistry. 2019;:113335
Abstract
l-Lysine is an essential amino acid important for maintaining human health. To date, many enzymatic methods for assay of l-lysine have been developed. The first method has been developed using l-lysine α-oxidase (l-LysOα). However, low specificity towards l-lysine of l-LysOα is a disadvantage inherent in this method. Recently, methods more specific to l-lysine were developed using newly discovered enzymes such as l-lysine ε-oxidase (l-LysOε), l-amino acid oxidase/monooxygenase (l-AAO/MOG) and l-lysine decarboxylase/oxidase (l-Lys-DC/OD). The present paper reviews recent enzymatic methods used for assay of l-lysine. These l-lysine selective assays rely on detecting and quantifying hydrogen peroxide, a product generated by the oxidase reaction of these enzymes. l-LysOε catalyzes the oxidative deamination of the ε-amino group of l-lysine, thus assays using this enzyme are more specific towards l-lysine than the ones using l-LysOα. The l-AAO/MOG has high substrate specificity towards l-lysine; however it exhibits l-lysine oxidase and monooxygenase activities. The sensitivity of l-AAO/MOG method was improved either by using its mutant, which has reduced monooxygenase activity, or by coupling with an aminoamide-oxidizing enzyme. The l-Lys-DC/OD exhibits both l-lysine decarboxylase and oxidase activities. The sensitivity of the l-Lys-DC/OD method was improved by using putrescine oxidase to oxidize the decarboxylation product of l-lysine.
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10.
Near-Infrared Fluorescent Proteins and Their Applications.
Karasev, MM, Stepanenko, OV, Rumyantsev, KA, Turoverov, KK, Verkhusha, VV
Biochemistry. Biokhimiia. 2019;(Suppl 1):S32-S50
Abstract
High transparency, low light-scattering, and low autofluorescence of mammalian tissues in the near-infrared (NIR) spectral range (~650-900 nm) open a possibility for in vivo imaging of biological processes at the micro- and macroscales to address basic and applied problems in biology and biomedicine. Recently, probes that absorb and fluoresce in the NIR optical range have been engineered using bacterial phytochromes - natural NIR light-absorbing photoreceptors that regulate metabolism in bacteria. Since the chromophore in all these proteins is biliverdin, a natural product of heme catabolism in mammalian cells, they can be used as genetically encoded fluorescent probes, similarly to GFP-like fluorescent proteins. In this review, we discuss photophysical and biochemical properties of NIR fluorescent proteins, reporters, and biosensors and analyze their characteristics required for expression of these molecules in mammalian cells. Structural features and molecular engineering of NIR fluorescent probes are discussed. Applications of NIR fluorescent proteins and biosensors for studies of molecular processes in cells, as well as for tissue and organ visualization in whole-body imaging in vivo, are described. We specifically focus on the use of NIR fluorescent probes in advanced imaging technologies that combine fluorescence and bioluminescence methods with photoacoustic tomography.