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学者姓名：胡启昌
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Bio-hydrovoltaic systems, which leverage the energy embedded in water's natural processes, present a promising avenue for sustainable energy production. Despite notable advances in non-living hydrovoltaic systems, research into biological materials remains relatively underdeveloped, leaving their unique advantages and long-term reliability potential largely untapped. This Review presents a comprehensive synthesis of progress in the field, with a particular focus on the evolution from non-living to living hydrovoltaic systems, and a precise articulation of their conceptual boundaries. We underscore a shift from structure-oriented material engineering toward biofunction-enabled energy conversion-a transition that enables breakthroughs in power output, system durability and environmental adaptability. Through systematic comparisons of mechanisms, biomaterial sources, performance metrics and emerging application scenarios, we identify current bottlenecks and propose targeted strategies. In light of recent trends, living hydrovoltaic systems hold particular promise as a forward-looking direction, offering a transformative platform for future hydrovoltaic internet, intelligence and ecological integration at scale. This Review delineates the conceptual and material transition from non-living to living hydrovoltaic systems, establishing bio-hydrovoltaics as a frontier in sustainable energy conversion from water.
Keyword ：
bio-hydrovoltaic bio-hydrovoltaic biomaterials biomaterials hydrovoltaic effect hydrovoltaic effect living hydrovoltaic living hydrovoltaic non-living hydrovoltaic non-living hydrovoltaic
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| GB/T 7714 | Hu, Qichang , Lin, Xiuyu , Ren, Guoping et al. Bio-hydrovoltaic technology: advancing from non-living to living hydrovoltaic systems [J]. | NATIONAL SCIENCE REVIEW , 2025 , 12 (11) . |
| MLA | Hu, Qichang et al. "Bio-hydrovoltaic technology: advancing from non-living to living hydrovoltaic systems" . | NATIONAL SCIENCE REVIEW 12 . 11 (2025) . |
| APA | Hu, Qichang , Lin, Xiuyu , Ren, Guoping , Zhou, Shungui . Bio-hydrovoltaic technology: advancing from non-living to living hydrovoltaic systems . | NATIONAL SCIENCE REVIEW , 2025 , 12 (11) . |
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本发明公开了一种基于活藻的光增效水伏发电机，包括顶部电极、活藻生物膜和底部电极，活藻生物膜的上表面与顶部电极贴合连接，活藻生物膜的下表面与底部电极贴合连接。本发明的一种基于活藻的光增效水伏发电机无需复杂的自组装过程，凭借活藻生物膜内部丰富的叶绿素和吸水细胞，自发捕获环境中的水分和太阳能，实现持续自主发电，采用的活藻生物膜表面整体形貌好，在空气干燥的情况下不易发生皲裂，易于储存，愈合效果好；在湿度90％情况下，面积为1.75cm2的活藻生物膜产生约0.57μA的短路电流和0.52V的开路电压并保持稳定，具有良好的发电性能和稳定性，在能源供应领域拥有广泛的应用前景并推动可持续能源技术的发展。
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| GB/T 7714 | 胡启昌 , 申湘 , 洪敏慧 et al. 一种基于活藻的光增效水伏发电机 : CN202411810186.7[P]. | 2024-12-10 . |
| MLA | 胡启昌 et al. "一种基于活藻的光增效水伏发电机" : CN202411810186.7. | 2024-12-10 . |
| APA | 胡启昌 , 申湘 , 洪敏慧 , 周顺桂 . 一种基于活藻的光增效水伏发电机 : CN202411810186.7. | 2024-12-10 . |
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本发明公开了一种基于喉部振动与脑电电刺激的语音信号测试方法与系统，涉及语音信息分类领域，包括：根据基础脑电信号判断是否在语音准备阶段对用户施加脑电电刺激；获取语音执行阶段同步采集到用户的喉部振动信号和脑电信号并分别进行数据预处理，得到预处理后的喉部振动信号和脑电信号；对预处理后的脑电信号采用PageRank算法进行通道选择，得到通道选择后的脑电信号；分别对预处理后的喉部振动信号和通道选择后的脑电信号进行特征提取和降维处理，得到降维后的喉部振动特征和降维后的脑电特征并输入到施加L1正则化的双模态SPCA，得到稀疏特征并输入到经训练的语音信号分类模型，得到语音分类识别结果。本发明解决聋哑人发音同音不同义的问题。
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| GB/T 7714 | 胡启昌 , 温旺逍 , 孔祥增 et al. 基于喉部振动与脑电电刺激的语音信号测试方法与系统 : CN202510480149.2[P]. | 2025-04-17 . |
| MLA | 胡启昌 et al. "基于喉部振动与脑电电刺激的语音信号测试方法与系统" : CN202510480149.2. | 2025-04-17 . |
| APA | 胡启昌 , 温旺逍 , 孔祥增 , 张婷婷 , 黄栋 . 基于喉部振动与脑电电刺激的语音信号测试方法与系统 : CN202510480149.2. | 2025-04-17 . |
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本发明公开了一种基于铝钇氮薄膜的日盲紫外光电人工视觉突触器件及其制备方法，本方案涉及新型微纳电子材料及功能器件领域；该突触器件包括：衬底、底电极、日盲紫外光响应阻变层与顶电极；所述底电极设置于衬底上，用于引入日盲紫外光信号；日盲紫外光响应阻变层设置于底电极与顶电极之间，用于模拟突触可塑性。其中，日盲紫外光响应阻变层由具有光电导效应的铝钇氮薄膜制成，对波长为200‑280nm的日盲紫外光具有光响应；底电极为透明导电电极；电信号通过顶电极、底电极输入，日盲紫外光信号则通过透明导电底电极输入；本发明提供突触器件可在电信号以及日盲紫外光信号激励下，实现多种光电突触可塑性，在此基础上实现人工视觉功能的模拟。
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| GB/T 7714 | 胡启昌 , 孔祥增 , 杨小龙 et al. 一种基于铝钇氮薄膜的日盲紫外光电人工视觉突触器件及其制备方法 : CN202411715585.5[P]. | 2024-11-27 . |
| MLA | 胡启昌 et al. "一种基于铝钇氮薄膜的日盲紫外光电人工视觉突触器件及其制备方法" : CN202411715585.5. | 2024-11-27 . |
| APA | 胡启昌 , 孔祥增 , 杨小龙 , 叶霖峰 , 林珺 . 一种基于铝钇氮薄膜的日盲紫外光电人工视觉突触器件及其制备方法 : CN202411715585.5. | 2024-11-27 . |
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Developing the integration of self-powered detection with both dynamic and static forces is a significant challenge in promoting intelligent technology systems. Herein, we introduce an innovative microbial biofilm basedhydrovoltaic pressure sensor (mBio-HPS) using whole-cell Geobacter sulfurreducens, which successfully combines self-powered functionality and static pressure detection within a single device. The mBio-HPS exhibited a sensitivity of up to 8968.7 kPa-1 (at 1 kPa) in the 0.4-25 kPa regime without external power supply. Moreover, the mBio-HPS demonstrated the fastest reported response speed to date, with a remarkable response time of 112.5 mu s, enabling effective detection of both dynamic and static forces while maintaining stability during an extensive 30,000 s testing. Experimental validation using a sensor-integrated array showed its outstanding realtime detection capabilities for both dynamic and static pressure, highlighting its outstanding potential for electronic skin applications. This unprecedented concept of a hydrovoltaic pressure sensor also offers new insights into the development of high-performance self-powered electronics.
Keyword ：
Flexible electronics Flexible electronics Hydrovoltaic Hydrovoltaic Microbial biofilm Microbial biofilm Self-powered pressure sensor Self-powered pressure sensor
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| GB/T 7714 | Hu, Qichang , Hong, Minhui , Wang, Zhao et al. Microbial biofilm-based hydrovoltaic pressure sensor with ultrahigh sensitivity for self-powered flexible electronics [J]. | BIOSENSORS & BIOELECTRONICS , 2025 , 275 . |
| MLA | Hu, Qichang et al. "Microbial biofilm-based hydrovoltaic pressure sensor with ultrahigh sensitivity for self-powered flexible electronics" . | BIOSENSORS & BIOELECTRONICS 275 (2025) . |
| APA | Hu, Qichang , Hong, Minhui , Wang, Zhao , Lin, Xiuyu , Wang, Wei , Zheng, Wei et al. Microbial biofilm-based hydrovoltaic pressure sensor with ultrahigh sensitivity for self-powered flexible electronics . | BIOSENSORS & BIOELECTRONICS , 2025 , 275 . |
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Memristors, with their intrinsic low power consumption, high speed operation, and unified memory-computing architecture, present a compelling alternative to overcome the limitations of traditional von Neumann systems. However, the instability of single-dielectric-layer memristors, primarily due to the unpredictable formation of conductive filaments, remains a significant challenge. This study presents the design and fabrication of an Ag/Sm2O3(O-D)/Sm2O3(O-R)/Pt/Ti photoelectric memristor with a dual-dielectric layer structure to address these stability concerns. The device exhibits extremely low operation voltages (V-SET: 0.13 V, V-RESET: -0.73 V), a switch window of up to 10(3), and stable performance across 100 consecutive cycles. Leveraging solar-blind UV writing and electrical erasing, this device performs '' OR '' logic operations with nonvolatile and reconfigurable characteristics, using UV and voltage as input signals and resistance states (RS) as output. The results demonstrate that the conduction mechanism is dominated by the conductive filament mechanism, and the dual-dielectric layer significantly improves the stability of the samarium oxide (Sm2O3) memristor. This study provides a potential approach to addressing the stability and longevity challenges in traditional memristors and holds promise for next-generation nonvolatile logic computing devices.
Keyword ：
conductive filament conductive filament dual-dielectric layer dual-dielectric layer optoelectronic memristor optoelectronic memristor Sm2O3 Sm2O3 solar-blind ultraviolet solar-blind ultraviolet
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| GB/T 7714 | Wang, Yuzhu , Ye, Linfeng , Yang, Xiaolong et al. Dual-Dielectric Layers Sm2O3-Based Photoelectric Memristor for Enhanced Stability [J]. | ACS APPLIED ELECTRONIC MATERIALS , 2025 , 7 (14) : 6672-6679 . |
| MLA | Wang, Yuzhu et al. "Dual-Dielectric Layers Sm2O3-Based Photoelectric Memristor for Enhanced Stability" . | ACS APPLIED ELECTRONIC MATERIALS 7 . 14 (2025) : 6672-6679 . |
| APA | Wang, Yuzhu , Ye, Linfeng , Yang, Xiaolong , Lin, Jun , Chen, Xiong , Kong, Xiangzeng et al. Dual-Dielectric Layers Sm2O3-Based Photoelectric Memristor for Enhanced Stability . | ACS APPLIED ELECTRONIC MATERIALS , 2025 , 7 (14) , 6672-6679 . |
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蒸发诱导发电（evaporation-induced electricity）是一种利用水蒸发产生电能的水伏技术,凭借其高度自发且可持续产电的能力受到广泛关注.水凝胶具有丰富的亲水官能团与良好的水分传输性能,被认为是极具潜力的蒸发发电功能材料.然而,传统水凝胶的制备通常需加热或紫外诱导聚合,过程复杂且费时,严重制约了水凝胶基水伏技术的实际应用.在此,本文以硫还原地杆菌（Geobacter sulfurreducens,G.s）为模式微生物,在室温下诱导纳米纤维素与聚丙烯酰胺大分子链快速聚合,1 min内合成水伏性能优异的生物凝胶膜.这归因于G.s中丰富的还原性官能团自发与S
Keyword ：
微生物诱导 微生物诱导 水蒸发发电 水蒸发发电 生物凝胶膜 生物凝胶膜 自由基聚合 自由基聚合
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| GB/T 7714 | 洪铭秋 , 任国平 , 胡启昌 et al. 生物凝胶膜的室温快速聚合及其水伏发电功效 [J]. | 中国科学:技术科学 , 2025 , 55 (01) : 104-114 . |
| MLA | 洪铭秋 et al. "生物凝胶膜的室温快速聚合及其水伏发电功效" . | 中国科学:技术科学 55 . 01 (2025) : 104-114 . |
| APA | 洪铭秋 , 任国平 , 胡启昌 , 叶捷 , 周顺桂 . 生物凝胶膜的室温快速聚合及其水伏发电功效 . | 中国科学:技术科学 , 2025 , 55 (01) , 104-114 . |
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Two-dimensional metal-organic framework (2D MOF) materials are emerging as promising candidates for next-generation organic photodetectors due to their high specific surface area, tunable optical properties, superior charge transfer performance, and excellent chemical stability. However, enhancing carrier separation efficiency under illumination and minimizing dark current remain significant challenges in this field. In this study, Zn-TCPP was grown on an ITO substrate, followed by N,N '-dioctyl-3,4,9,10-perylene tetracarboxylic diimide (PTCDI-C8), to construct a p-n heterojunction self-powered photodetector. The device exhibits a low dark current of 3.78 pA, a noise equivalent power (NEP) of 9.21 x 10-10 W, and a high specific detectivity (D*) of 4.78 x 1012 Jones at 0 V bias, alongside a fast response time of 15 ms. This work presents an effective strategy for developing high-performance, low-noise 2D MOF-based photodetectors and highlights their potential for use in next-generation wearable optoelectronic devices and imaging systems.
Keyword ：
heterojunction heterojunction metal organicframework metal organicframework organic semiconductor organic semiconductor photodetectors photodetectors self-powered self-powered
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| GB/T 7714 | Zheng, Huiyan , Xiong, Yutao , Jiang, Zhengdong et al. Metal-Organic Framework/Organic Semiconductor Heterostructures for High-Speed, Low-Noise Photodetection [J]. | ACS APPLIED ELECTRONIC MATERIALS , 2025 , 7 (13) : 6207-6214 . |
| MLA | Zheng, Huiyan et al. "Metal-Organic Framework/Organic Semiconductor Heterostructures for High-Speed, Low-Noise Photodetection" . | ACS APPLIED ELECTRONIC MATERIALS 7 . 13 (2025) : 6207-6214 . |
| APA | Zheng, Huiyan , Xiong, Yutao , Jiang, Zhengdong , Yu, Mingke , Hu, Qichang , Liu, Yanghui et al. Metal-Organic Framework/Organic Semiconductor Heterostructures for High-Speed, Low-Noise Photodetection . | ACS APPLIED ELECTRONIC MATERIALS , 2025 , 7 (13) , 6207-6214 . |
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Flexible strain sensors have garnered significant attention due to their high sensitivity, rapid response, and flexibility. Recent innovations, particularly those incorporating machine learning, have significantly enhanced their stability, sensitivity, and adaptability, positioning these sensors as promising solutions in health monitoring, human-computer interaction, and smart home applications. However, challenges remain in optimizing sensor materials for enhanced responsiveness, durability, and stability. Moreover, the development of machine learning-based strain sensors faces obstacles, including algorithmic limitations, low noise tolerance in complex environments, and limited model interpretability. This review systematically evaluates the latest advancements in flexible strain sensors, emphasizing the critical role of machine learning in performance enhancement. It further explores the shift from traditional machine learning methods to deep learning approaches, elucidating the potential applications that these algorithms facilitate. Finally, we discuss future research trajectories, highlighting both opportunities and challenges that may guide the next wave of innovations in this dynamic field.
Keyword ：
deeplearning deeplearning flexible electronics flexible electronics machine learning machine learning sensing material sensing material smart strain sensor smart strain sensor
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| GB/T 7714 | Kong, Xiangzeng , Wen, Wangxiao , Guan, Yujie et al. Advances in Machine Learning-Driven Flexible Strain Sensors: Challenges, Innovations, and Applications [J]. | ACS APPLIED MATERIALS & INTERFACES , 2025 , 17 (22) : 31778-31798 . |
| MLA | Kong, Xiangzeng et al. "Advances in Machine Learning-Driven Flexible Strain Sensors: Challenges, Innovations, and Applications" . | ACS APPLIED MATERIALS & INTERFACES 17 . 22 (2025) : 31778-31798 . |
| APA | Kong, Xiangzeng , Wen, Wangxiao , Guan, Yujie , Lin, Zihan , Zheng, Junwei , Xie, Banghao et al. Advances in Machine Learning-Driven Flexible Strain Sensors: Challenges, Innovations, and Applications . | ACS APPLIED MATERIALS & INTERFACES , 2025 , 17 (22) , 31778-31798 . |
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The exchange of water between soil and air is a ubiquitous natural phenomenon. Evaporation and condensation are the two main processes that extract or release energy from the environment. However, due to the low energy density and complex interface of soil, the associated energy has long been overlooked and under-exploited. Here we demonstrate that the energy can be converted into electricity in situ through the hydrovoltaic effect within the soil itself. The soil-based hydrovoltaic electricity generators exhibit excellent reproducibility and stability, demonstrating the potential for scalable integration. A series voltage of over 13.4 V was achieved, placing it in the top five of integrated devices reported to date. By designing an integrated module suitable for amplifying natural electricity from both soil evaporation and soil condensation process, a parallel current of up to 18.62 mu A (0.06 m2) was obtained. The availability of soil demonstrates the great potential of the soil-based electricity generators. This finding demonstrates a green and sustainable technology for electricity generation, and points to possible biogeochemical processes due to the hydrovoltaic effect of soil.
Keyword ：
Evaporation-induced electricity generation Evaporation-induced electricity generation Hydrovoltaic effect Hydrovoltaic effect Moisture-induced electricity generation Moisture-induced electricity generation Soil-air water exchange Soil-air water exchange Soil electricity generation Soil electricity generation
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| GB/T 7714 | Diao, Youming , Hu, Qichang , Liu, Yingying et al. Natural electricity production from soil-air water exchange: A wide and untapped energy [J]. | NANO ENERGY , 2025 , 135 . |
| MLA | Diao, Youming et al. "Natural electricity production from soil-air water exchange: A wide and untapped energy" . | NANO ENERGY 135 (2025) . |
| APA | Diao, Youming , Hu, Qichang , Liu, Yingying , Zeng, Raymond Jianxiong , Zhou, Shungui , Chen, Man . Natural electricity production from soil-air water exchange: A wide and untapped energy . | NANO ENERGY , 2025 , 135 . |
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