Nature-inspired sensors /

"Nature-Inspired Sensors presents and discusses the basic principles and latest developments in nature-inspired sensing and biosensing materials as well as the design and mechanisms for analyzing their potential in multifunctional sensing applications. The book starts with a comprehensive revie...

Ամբողջական նկարագրություն

Պահպանված է:
Մատենագիտական մանրամասներ
Այլ հեղինակներ: Haick, Hossam (Խմբագիր)
Ձևաչափ: Էլեկտրոնային էլ․ գիրք
Լեզու:անգլերեն
Հրապարակվել է: Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, [2025]
Խորագրեր:
Առցանց հասանելիություն:ScienceDirect
Ցուցիչներ: Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!

MARC

LEADER 00000cam a2200000 i 4500
001 on1465274490
003 OCoLC
005 20260915095219.0
006 m o d
007 cr cnu---unuuu
008 241109s2025 ne a ob 001 0 eng d
040 |a EBLCP  |b eng  |e rda  |c EBLCP  |d YDX  |d OPELS  |d OCLCO  |d N$T  |d SFB  |d OCLCQ  |d YDX  |d OCLCL  |d OCLCF  |d OCLCO  |d OCLCQ 
019 |a 1465256530 
020 |a 0443156859  |q electronic book 
020 |a 9780443156854  |q electronic book 
020 |z 9780443156847  |q paperback 
020 |z 0443156840  |q paperback 
035 |a (OCoLC)1465274490  |z (OCoLC)1465256530 
050 4 |a QA76.9.N37  |b N38 2025 
082 0 4 |a 006.382  |2 23/eng/20250428  |1 https://id.oclc.org/worldcat/ddc/E46X8hMwXH4QRHTF6JCrfqymcM 
245 0 0 |a Nature-inspired sensors /  |c edited by Hossam Haick. 
264 1 |a Amsterdam, Netherlands ;  |a Cambridge, MA, United States :  |b Elsevier,  |c [2025] 
300 |a 1 online resource (xxiv, 591 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
340 |p illustration  |0 http://rdaregistry.info/termList/IllusContent/1014  |2 rdaill 
340 |g polychrome  |0 http://rdaregistry.info/termList/RDAColourContent/1003  |2 rdacc 
504 |a Includes bibliographical references and index. 
520 |a "Nature-Inspired Sensors presents and discusses the basic principles and latest developments in nature-inspired sensing and biosensing materials as well as the design and mechanisms for analyzing their potential in multifunctional sensing applications. The book starts with a comprehensive review of certain fundamental mechanisms in different living creatures, including humans, animals, and plants. It presents and discusses ways for imitating various nature-inspired structural features and their functional properties, such as hierarchical, interlocked, porous, and bristle-like structures and hetero-layered brick-and-mortar structures. It also highlights the utility of these structures and their properties for sensing functions, which include static coloration, self-cleaning, adhesive, underwater navigation and object detection, electric charge generation, and sensitive olfactory functions for detecting various substances. This is followed by an appraisal of accumulating knowledge and its translation from the laboratory to the point-of-care phase, using selective sensors as well as desktop and wearable artificial sensing devices, for example, electronic noses and electronic skins, in conjunction with AI-assisted data processing and decision-making in the targeted field of application. In addition, the book offers an insight into the challenges of continuing the development of nature-inspired smart sensing and biosensing technology and their wider availability, which can be substantially improved. It is a valuable reference for graduates, undergraduates, researchers, and working professionals in the fields of chemistry, materials science, and biomedical and environmental science." --  |c Provided by publisher. 
588 |a Description based on online resource; title from digital title page (viewed on April 28, 2025). 
650 0 |a Natural computation. 
650 0 |a Detectors. 
650 6 |a Calcul naturel.  |0 (CaQQLa)000265307 
650 7 |a Detectors  |2 fast  |0 (OCoLC)fst00891594 
650 7 |a Natural computation  |2 fast  |0 (OCoLC)fst01745866 
700 1 |a Haick, Hossam,  |e editor. 
776 0 8 |i Print version:  |a Haick, Hossam  |t Nature-Inspired Sensors  |d Chantilly : Elsevier,c2024  |z 9780443156847 
856 4 0 |3 ScienceDirect  |u https://www.sciencedirect.com/science/book/9780443156847