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Table 3 Advantages and disadvantages of proteomics and biosensors in the identification of GBM

From: Recent advances in the detection of glioblastoma, from imaging-based methods to proteomics and biosensors: A narrative review

Methods

Advantages

Disadvantages

Proteomics

High throughput can evaluate hundreds of polypeptides in a single run and is specifically designed for detecting protein interactions with various molecular types. Antibodies can be used to probe polypeptides and detect post-translational changes. Protein expression can be measured semi-quantitatively, and these techniques are compatible with other methods [110,111,112]

They only recognizes known proteins and have little dynamic range compared to other isolation techniques. They are also antibody specific and can have difficulty identifying native conformation proteins, signal suppression by extremely abundant proteins can occur, and there is limited repeatability, requiring confirmation for clinical diagnosis. Additionally, proteomics techniques often require small, somewhat pure samples, and making proteins assume their native conformations can be challenging [110,111,112]

Biosensors

A practical application strategy for a biosensing system should consider several factors, including a wide detection range, low limit of detection (LOD), quick reaction time, low cost and simplicity of the system, good sensitivity and specificity, high selectivity, acceptable stability, and an easy production method [113,114,115]

The need for large sample sizes, limited sample throughput, a variety of equipment, solution component adsorption on the membrane surface, and effects on charge transfer modes can all contribute to measurement inaccuracy in electrochemical sensing. Additionally, microelectrode surface renewal can be challenging. Therefore, an electrode reactivation protocol that includes complex programmable potential methods may help improve measurement accuracy [113,114,115]