Over the past decade, advantages of graphene in high-performance gas sensing have been demonstrated, especially for single- or few-layered graphene wherein the theoretical and technical advances are mature. Owing to the complexity of multi-layered graphene (MLG) sensors and the increasing demand for practical applications, there is an urgent need to comprehensively understand the correlation between MLG and its derivatives for developing next-generation gas sensors. Herein, theoretical and empirical strategies for obtaining better gas sensors are developed. These approaches can be divided into three categories: 1) building devices with Fermi level near the Dirac point (E_F,Dirac), 2) enhancing the adsorption probability f(x) and driving force (gap between as-prepared and saturated Fermi levels), and 3) accelerating mobility. A device employing p-type reduced graphene oxide (rGO) decorated with n-type indium oxide and phenylenediamine (GIP) was designed and fabricated by adopting approaches 1 and 2 (E_F,Dirac and f(x) enhancement). The resulting hole-compensated GIP displayed a remarkable response to formaldehyde (HCHO), which was 66.3 times higher than rGO, with faster response/recovery. GIP also exhibited higher selectivity for HCHO than for ammonia and trimethylamine. We believe that the classification will untangle the complex role of graphene in sensing, helping to design next-generation advanced gas sensors.

在过去的十年中，石墨烯在高性能气体传感方面的优势已经得到证明，特别是对于理论和技术进步成熟的单层或少层石墨烯。由于多层石墨烯（MLG）传感器的复杂性和实际应用需求的增加，迫切需要全面了解MLG及其衍生物之间的相关性，以开发下一代气体传感器。在此，开发了用于获得更好的气体传感器的理论和经验策略。这些方法可分为三类：1）建立的设备能够与狄拉克点（接近费米能级ë_楼狄拉克），2）提高吸附概率F（X）和驱动力（准备好的和饱和的费米能级之间的差距），以及 3）加速流动性。采用p型的装置降低装饰有n型氧化铟和苯二胺（GIP）的石墨烯氧化物（RGO）的设计和制作通过采用接近1和2（ë_楼狄拉克和F（X）增强）。由此产生的孔补偿 GIP 对甲醛 (HCHO) 显示出显着的响应，比 rGO 高 66.3 倍，响应/恢复更快。GIP 对 HCHO 的选择性也高于对氨和三甲胺的选择性。我们相信分类将解开石墨烯在传感中的复杂作用，有助于设计下一代先进的气体传感器。