systems change biochemical and microenvironmental signals to digital readouts and enable
biosensing with high spatial resolution, high temporal resolution, and rapid.
The sensitive and selective detection of different types of biomarkers (molecular, histologic,
radiographic, and physiologic types of biomarkers) are for the basic application of bioana
lytical chemistry. Advanced sensor technologies have been mostly developed in mobile
healthcare systems and wearable bioelectronic devices, while in target analytes biosensing is
based on green methods that exhibit real-time monitoring. In addition to the bioelectronic
devices, many studies have reported the performance effects of green organic transistors with
natural materials, experimental conditions, morphological, and structural properties.
When compared to other materials, green organic transistors have many advantages in
the presence of biopolymer and biopolymer blends such as egg albumen, starch, gelatine,
silk, polysaccharides, collagen, algal, chitosan, polyvinyl alcohol, gum arabic, polylactic
acid, poly-lactic-go-glycolacid, polycaprolactone, poly(1,8-octanediol-co-citrate), polypropy
lene carbonate, polyvinylpyrrolidone, polyhydroxyalkanoates, poly(3-hydroxybutyrate),
poly(3-hydroxyvalerate), and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate
(PEDOT:PSS). Lai et al. prepared a novel gelatin-hydrogel-based organic synaptic transistor
for the application of environment-friendly neuromorphic electronics to understand the
neuromorphological computing system of learning and memory in the human brain using
the principle of sustainable development [1].
Therefore, to expand the applications of polymers in green transistors, Rullyani et al.
developed eco-friendly 3,4,9,10-perylene-tetracarboxylic-diimide (PTCDI)–based organic
thin-film transistors (OTFTs) using natural rubber, chitosan, and cis-polyisoprene extract.
The green OTFTs were characterized by the tapping-mode atomic force microscopy
(AFM) technique to investigate the surface properties of the gate dielectric electrode and
the formation of the organic semiconductor on the surface. Experimental results revealed
that chitosan (biopolymer) and natural rubber are some of the most promising materials
for use as gate dielectric materials in biomedical applications with their high dielectric
strength and insulation properties [2]. Ji et al., in 2020, discussed flexible, sensitive, and
selective carbonized silk fabric-based electrochemical transistors that remarkably ele
vated the sensor performance on the detection of dopamine. The sensor exhibited an
effective performance parameter with an ultra-low detection limit of 1 nM in a wide
concentration range from 1 nM to 30 μM [3]. In literature, Lee et al. prepared a fully
stretchable, wearable, and lab-on-a-patch impedimetric biosensor for immunodetection of
cortisol biomarkers in a wide concentration range from 1 pg/mL to 1 μg/mL with a high
correlation (relative difference of ∼14.7%) [4]. These experimental results showed that
the proposed biosensor had great potential for medical diagnostics and monitoring in
biomedical applications. With this approach, Wang et al. prepared a novel wearable
and stretchable textile gold fiber-based electrochemical biosensor for the detection of on-
body sweat lactate and sensing of soft robotic glove lactate with a high sensitivity of
19.13 μA/mMcm2 and 14.6 μA/mMcm2 in artificial sweat solutions [5]. Hashemi et al.
developed a green polyrhodanine/graphene oxide/Fe3O4 nanocomposite based ultra-
sensitive biosensor with a natural kombucha extract as a biomaterial for the determina
tion of doxorubicin hydrochloride in human body fluids. Electrochemical results showed
that the ultrasensitivity, low limit of detection (LOD), and quantification limit of the
proposed polyrhodanine/graphene oxide/Fe3O4 nanocomposite-based biosensor were
calculated 167.62 μA μM−1 cm−2, 0.008 μM, and 0.056 μM, respectively, due to the elec
trochemical redox in the human blood plasma [6].
Several studies have reported that the most frequently used forms of the high-
performance fully printed OTFT-based devices with very higher carrier mobility
158
Bioelectronics