Existing and Emerging Point-of-care Devices for Neurotransmitter Detection
Bibliographic record
Abstract
Neurotransmitters are the vital endogenic biochemicals responsible for the human body's daily functions and these are achieved through communication between neurons throughout the human physiological system. Neurons enable the human brain to perform various functions via chemical synaptic transmission. Generally, the synaptic transmission between the presynaptic neural cell and the postsynaptic receptors is accomplished through the significant release of neurotransmitters into the medium. In addition, neurotransmitters are effectively engaged in the development process of humans, enabling the growth of neurons, differentiation, and the development of neural circuitry. Thereby, even a trivial change in levels of specific neurotransmitters in human biological fluids is recognized as an effective diagnostic signal for various neurological disorders and diseases, such as Parkinson's disease, schizophrenia, depression, and Alzheimer's disease. On the other hand, neurotransmitters are reported as biomarkers for different diseases and disorders as they are engaged in different stages of human development. Detecting neurotransmitters facilitates the early diagnosis of many neurological diseases or disorders. However, their trace level concentrations along with the existence of other minerals and biochemical molecules limits and complicates the detection mechanism and reduces the efficacy of point-of-care (POC) devices. In the past few decades, a substantial development in POC device technology has been reported, with good selectivity and sensitivity, for early diagnosis of several neurological diseases and disorders. This chapter will discuss neurotransmitter detection for existing and emerging point-of-care devices for effective diagnosis of neurological disorders involving different analytical techniques, such as electrochemical sensing, spectral-based analytical techniques (like surface-enhanced Raman scattering, SERS), and spectroscopy. This chapter aims to elucidate the pros and cons of different analytical techniques and provide clear insight into the scope for development of POC devices for diagnostic applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".