High-Performance Flexible Broadband Photothermoelectric Photodetectors Based on Tellurium Films

Mid- and far-infrared photodetectors that can operate at room temperature are essential for both civil and military applications. However, the widespread use of mid-to-far-infrared photonic technology faces challenges due to the need for low-temperature cooling of existing commercial semiconductors and the limited optical absorption efficiency of two-dimensional materials. We have utilized the photothermoelectric effect to fabricate a self-powered, broadband, and high-performance photodetector based on a one-dimensional tellurium nanorod array film. The device surpasses energy band gap limitations, functioning even at wavelengths up to approximately 10,600 nm. In particular, the detectivity of the device can reach 4.8 × 109 Jones at 4060 nm under room-temperature conditions, which is an order of magnitude higher than that of commercially available photodetectors. It demonstrates fast response and recovery times of 8.3 and 8.8 ms. Furthermore, the device demonstrates outstanding flexibility withstanding over 300 bending cycles and environmental stability. These results suggest a viable approach for designing and developing high-performance, room-temperature, wearable optoelectronic devices

Expression of <i>RKIP</i> in cancer adjacent normal renal tissues.

<p>(A), Association between the <i>RKIP</i> expression in renal tissues and <i>RKIP</i> rs17512051 genotypes. The <i>RKIP</i> rs17512051 TA/AA genotype is associated with significantly higher <i>RKIP</i> expression than the <i>RKIP</i> rs17512051TT genotype (<i>P</i> = 0.028). (B), Association between the <i>RKIP</i> expression in renal tissues and <i>RKIP</i> rs1051470 genotypes. No significant differences in <i>RKIP</i> expression among different <i>RKIP</i> rs1051470 genotypes were observed (<i>P</i> = 0.726).</p

The characteristics of the 5 tSNPs in <i>RKIP</i> gene.

a<p>Goodness-of-fit chi-square test was used to assess Hardy–Weinberg equilibrium (HWE) in controls.</p><p>The characteristics of the 5 tSNPs in <i>RKIP</i> gene.</p

Genetic location and linkage disequilibrium (LD) of the five tag-SNPs.

<p>(A) The location of the five tag-SNPs in the RKIP gene. The exons were indicated by black boxes; the 5′ and 3′ untranslated regions were denoted by gray boxes. (B). LD plot among the five tag-SNPs in the RKIP gene (data from HapMap).</p

Stratification analyses between the <i>RKIP</i> rs17512051 polymorphisms and risk of clear cell renal cell carcinoma.

a<p>Adjusted for age, gender, BMI, smoking status, drinking status, hypertension and diabetes in logistic regression model.</p><p>Stratification analyses between the <i>RKIP</i> rs17512051 polymorphisms and risk of clear cell renal cell carcinoma.</p

The association of <i>RKIP</i> rs17512051 polymorphism and clinical stage and tumor grade of ccRCC patients.

<p>*Two-sided χ2-test.</p>†<p>ORs were adjusted for age, sex, BMI, smoking, drinking status, diabetes and hypertensionin logistic regression model. CI: confidence interval; OR: odds ratio.</p><p>The association of <i>RKIP</i> rs17512051 polymorphism and clinical stage and tumor grade of ccRCC patients.</p

Frequency distribution of selected variables between the clear cell renal cell carcinoma cases and control subjects.

a<p>Student's t-test for age and BMI distributions between cases and controls; two-sided χ2-test for others selected variables between cases and controls.</p><p>Frequency distribution of selected variables between the clear cell renal cell carcinoma cases and control subjects.</p

Association between the 4 tSNPs in <i>RKIP</i> and risk of clear cell renal cell carcinoma.

a<p>Two-sided χ2-test for the distributions of either genotype or allele frequencies between the cases and controls.</p>b<p>genotype-specific ORs were adjusted for age, gender, BMI, smoking status, drinking status, diabetes and hypertension in logistic regression model.</p><p>Association between the 4 tSNPs in <i>RKIP</i> and risk of clear cell renal cell carcinoma.</p