Perspectives of nanobiotechnology and biomacromolecules in parkinson’s disease

Adam, Hussaini; Gopinath, Subash C. B.; Arshad, M. K. Md; Adam, Tijjani; Hashim, U.

doi:10.1016/j.procbio.2019.07.019

Cited by 14 publications

(5 citation statements)

References 50 publications

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“…Furthermore, as neutral atoms and electrons move through the circuit, the neutralization and isolation of ions occur at the electrode's surface 54 . In this vein, solutions of varied pH values were utilized to determine the reaction of the electrodes in the non-fouling sensing potentials 55 . The response for each pH level was different (Fig.…”

Section: Resultsmentioning

confidence: 99%

Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor

Uda

Gopinath

Hashim

et al. 2021

Sci Rep

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Arsenic is a major global threat to the ecosystem. Here we describe a highly accurate sensing platform using silica nanoparticles/graphene at the surface of aluminum interdigitated electrodes (Al IDE), able to detect trace amounts of arsenic(III) in rice grain samples. The morphology and electrical properties of fabricated Al IDEs were characterized and standardized using AFM, and SEM with EDX analyses. Micrometer scale Al IDEs were fabricated with silicon, aluminum, and oxygen as primary elements. Validation of the bare Al IDE with electrolyte fouling was performed at different pH levels. The sensing surface was stable with no electrolyte fouling at pH 7. Each chemical modification step was monitored with current–volt measurement. The surface chemical bonds were characterized by fourier transform infrared spectroscopy (FTIR) and revealed different peaks when interacting with arsenic (1600–1000 cm−1). Both silica nanoparticles and graphene presented a sensitive limit of detection as measured by slope calibration curves at 0.0000001 pg/ml, respectively. Further, linear regression was established using ΔI (A) = 3.86 E−09 log (Arsenic concentration) [g/ml] + 8.67 E−08 [A] for silica nanoparticles, whereas for graphene Y = 3.73 E−09 (Arsenic concentration) [g/ml] + 8.52 E−08 on the linear range of 0.0000001 pg/ml to 0.01 pg/ml. The R2 for silica (0.96) and that of graphene (0.94) was close to the maximum (1). Modification with silica nanoparticles was highly stable. The potential use of silica nanoparticles in the detection of arsenic in rice grain extract can be attributed to their size and stability.

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Section: Resultsmentioning

confidence: 99%

Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor

Uda

Gopinath

Hashim

et al. 2021

Sci Rep

Self Cite

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“…The neurological disorder results in the degeneration of neuron cells, which is observed as a loss of neuron functions and might be the reason for death by alteration in specific areas of the brain. [62] PD hampers the basal ganglia and the substantia nigra realms from the humanoid brain, these regions excreted dopamine neurotransmitters that cause movement of the body. [63] It is a longstanding degenerative ailment that witnessed several severe motor indications such as tremors, postural instability, rigidity, weakening of regulatory movements (kinesia), and sluggishness of movement (bradykinesia), along with non-motor deficiencies including depression, hallucination, and apathy.…”

Section: Parkinson's Disordermentioning

confidence: 99%

“…Caretakers strive to render comfort to PD people; however, routine and conventional techniques have plenty of drawbacks and boundaries such as low selectivity and sensitivity, and lack of cutting-edge equipment. [62] Therefore, to recover PD patients successfully, pre-detection and precise diagnosis should be counted as the best approaches.…”

Section: Parkinson's Disordermentioning

confidence: 99%

Recent Progress on Biosensors for the Early Detection of Neurological Disorders.

Chougale

Vedante

Kulkarni³

et al. 2022

ChemistrySelect

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Neurological disorders are a point of attraction these days due to their physical, mental, and genetic threat to human beings. The researchers are refining the therapeutics and striving to eradicate the life-threatening burden of chronic diseases by upsurging and proposing advanced instrumentation. There are a number of neurological diseases that cause alterations in the genetic sequences due to pathogenic or self-negligence. According to the WHO, stroke, septicemia, PD, epilepsy, and MS are found to be the deadliest and most invading among millions of people. Various diagnostic methods are employed for monitoring these disorders in the human body at an early stage, in process of cure. The current review highlights the strengths of several advanced detection devices, such as biosensors to identify and quantify biomarkers, some sensing gadgets, and other genetic tactics or innovations to ameliorate traditional protocols. Furthermore, the meticulous description of ongoing experiments with the help of relevant case studies of neurodegenerative disorders supports the impact and vitality of advanced equipment. Further, the necessity of biosensors in distinct disorders to aid in an early diagnosis, and the influence of nano-based materials in preparation is emphasized. Finally, several issues that should be addressed in upcoming decades with the steep rise in analytical technology have been discussed.

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“…The highly selective recognition of proteins provides important technical support for the development of protein drugs, medical diagnosis, and the exploration of the pathogenesis of major diseases based on proteomics. It is an important research topic in the fields of life sciences and biotechnology 1,2 . Therefore, the separation, purification, and detection of proteins are particularly important.…”

Section: Introductionmentioning

confidence: 99%

Anti‐nonspecific adsorption segments‐assisted self‐driven surface imprinted fibers for efficient protein separation

Yang

Wang

et al. 2022

AIChE Journal

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At present, the development of high-performance protein imprinted materials is still a research hotspot in the field of protein imprinting. Herein, anti-protein adsorption segment (CBMA)-assisted self-driven bovine serum albumin (BSA) surface imprinted fibers MTCFs@SIP@CBMA with high recognition selectivity are pioneered using the strategies of combining magnetic nanomaterial surface imprinting technique with amino-Michael addition. The special structure of the carrier MTCFs endows MTCFs@SIP@CBMA with magnetic performance and self-driven adsorption performance, which simplifies the separation process while improving the adsorption capacity and accelerating the adsorption rate. The adsorption capacity for BSA reached 390 ± 20 mg/g within 30 min. The introduction of CBMA segments on the surface after imprinting by amino-Michael addition makes its polymer chain length and position controllable. Under the strongest anti-nonspecific adsorption effect, MTCFs@SIP@CBMA exhibit excellent specific identification to BSA from mixed proteins. Additionally, MTCFs@SIP@CBMA show considerable reusability. Therefore, MTCFs@SIP@CBMA are expected to be applied in efficient separation of proteins in biological samples.

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Perspectives of nanobiotechnology and biomacromolecules in parkinson’s disease

Cited by 14 publications

References 50 publications

Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor

Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor

Recent Progress on Biosensors for the Early Detection of Neurological Disorders.

Anti‐nonspecific adsorption segments‐assisted self‐driven surface imprinted fibers for efficient protein separation

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