半導體紅外量子點發(fā)展現(xiàn)狀與前景
發(fā)布時間:2018-03-28 01:25
本文選題:量子點 切入點:紅外 出處:《應用光學》2017年05期
【摘要】:半導體量子點具有獨特的光學與電學性質,特別是紅外量子點良好的光穩(wěn)定性和生物相容性等優(yōu)點使其在光電器件、生物醫(yī)學等領域受到廣泛關注。綜述了吸收或發(fā)射光譜位于紅外波段的量子點在激光、能源、光電探測以及生物醫(yī)學等方面的應用現(xiàn)狀與前景,歸納了適用于紅外量子點材料的制備方法,并對比了不同方法在應用中的優(yōu)勢。半導體紅外量子點材料選擇豐富、應用形式多樣:InAs量子點被動鎖模激光器在1.3μm波長處產(chǎn)生7.3GHz的近衍射極限脈沖輸出;InAs/GaAs量子點雙波長激光器可泵浦產(chǎn)生0.6nW的THz波;PbS量子點摻雜光纖放大器可在1.53μm中心波長處實現(xiàn)10.5dB光增益,帶寬160nm;CdSeTe量子點敏化太陽能電池、異質結Si基量子點太陽能電池的總轉換效率可達8%和14.8%;膠質HgTe量子點制成的量子點紅外探測器(QDIP)可實現(xiàn)3μm~5μm中波紅外探測,Ge/Si量子點可實現(xiàn)3μm~7μm紅外探測;CdTe/ZnSe核殼量子點可用于檢測DNA序列的損傷與突變。半導體紅外量子點上述應用形式的發(fā)展,將進一步促進紅外光電系統(tǒng)向高效、快速、大規(guī)模集成的方向演進,也將極大地促進臨床醫(yī)學中活體成像檢測的應用推廣。
[Abstract]:Semiconductor quantum dots have unique optical and electrical properties, especially the excellent optical stability and biocompatibility of infrared quantum dots. In this paper, the applications and prospects of infrared quantum dots with absorption or emission spectrum in the fields of laser, energy, photoelectric detection and biomedicine are reviewed. The preparation methods suitable for infrared quantum dot materials are summarized, and the advantages of different methods in application are compared. Using multiple forms of passive mode-locked quantum dots to generate 7.3GHz at 1.3 渭 m wavelength, InAs-GaAs quantum dot double wavelength laser can pump THz wave and PBS quantum dot-doped fiber amplifier at 1.53 渭 m center. 10.5dB optical gain is realized at the wavelength, The bandwidth is 160 nm and CdSeTe quantum dots sensitized solar cells, The total conversion efficiency of heterojunction Si-based quantum dots solar cells can reach 8% and 14.8.The quantum dot infrared detector made of colloidal HgTe quantum dots can realize 3 渭 m ~ 5 渭 m ~ (5 渭 m) medium-wave infrared detection and 3 渭 m ~ (7) 渭 m ~ (7 渭 m) infrared detection of CdTe / ZnSe core / shell quantum dots. It can be used to detect the damage and mutation of DNA sequence. It will further promote the development of infrared photovoltaic system to the direction of high efficiency, fast and large-scale integration, and will greatly promote the application of in vivo imaging detection in clinical medicine.
【作者單位】: 北京信息科技大學;
【分類號】:TB383.1;TN304
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