T.-I ChouK.-H. ChangJ.-Y. JhangS.-W. ChiuG. WangCHIA-HSIANG YANGH. ChiuehH. ChenC.-C. HsiehM.-F. ChangK.-T. Tang2019-10-312019-10-31201815497747https://scholars.lib.ntu.edu.tw/handle/123456789/429769https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049776662&doi=10.1109%2fTCSII.2018.2854588&partnerID=40&md5=f349dbf5c6d2f61d6d5ebc7b5817964eMiniature gas detection system is desirable for many applications. In this brief, we propose a fully integrated nose-on-a-chip for mobile phones and wearable devices. The chip has 36 on-chip sensors, a 36-channel adaptive interface with an integrated programmable amplifier, a four-channel frequency readout interface, one on-chip temperature sensor, a successive approximation analog-to-digital converter, a scalable learning kernel cluster, and a reduced instruction set computing core with low-voltage static random-access memory. This chip is fabricated using the TSMC 180-nm CMOS process and consumes 2.6 mW at 1 V. on-chip temperature and humidity sensors are included in this system for acquiring environmental information. An environmental compensation algorithm based on common principal components analysis is also implemented for high-accuracy odor classification. This fully integrated nose-on-a-chip provides promising results for odor detection and classification for use in mobile and wearable device applications.e-nose system; environmental compensation; Nose-on-a-chip; system on chip (SoC)Analog to digital conversion; Cluster computing; Electronic nose; Programmable logic controllers; Reduced instruction set computing; Static random access storage; Wearable technology; Environmental compensation; Environmental information; Gas detection systems; Nose-on-a-chip; Principal components analysis; Static random access memory; Successive approximation analog-to-digital converters; System on chips (SoC); System-on-chipjournal article10.1109/tcsii.2018.28545882-s2.0-85049776662