001455042 000__ 02845cam\a22004937i\4500
001455042 001__ 1455042
001455042 003__ OCoLC
001455042 005__ 20230314003240.0
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001455042 008__ 230302s2022\\\\sz\a\\\\o\\\\\000\0\eng\d
001455042 019__ $$a1371475056
001455042 020__ $$a9783031158896$$q(electronic bk.)
001455042 020__ $$a303115889X$$q(electronic bk.)
001455042 020__ $$z9783031158889
001455042 020__ $$z3031158881
001455042 0247_ $$a10.1007/978-3-031-15889-6$$2doi
001455042 035__ $$aSP(OCoLC)1371509508
001455042 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001455042 049__ $$aISEA
001455042 050_4 $$aRA644.C67
001455042 08204 $$a614.5924144$$223/eng/20230302
001455042 24500 $$aCOVID-19 metabolomics and diagnosis :$$bchemical science for prevention and understanding outbreaks of infectious diseases /$$cFrank N. Crespilho, editor.
001455042 264_1 $$aCham :$$bSpringer,$$c2022.
001455042 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and color).
001455042 336__ $$atext$$btxt$$2rdacontent
001455042 337__ $$acomputer$$bc$$2rdamedia
001455042 338__ $$aonline resource$$bcr$$2rdacarrier
001455042 5050_ $$aChapter 1. Trends in Electroanalytical Assays for Covid 19 diagnosis -- Chapter 2. Microfluidic devices with electrochemical detection towards covid-19 detection -- Chapter 3. Carbon-based materials for electrochemical sensing of SARS-CoV-2 -- Chapter 4. Electrochemical Immunosensor for diagnosis of COVID-19 -- Chapter 5. Optical Fibers Sensors for Detection of SARS-CoV-2 Infection -- Chapter 6. Lateral flow assays for COVID-19 -- Chapter 7. The use of NMR based metabolomics to discriminate patients with viral diseases -- Chapter 8. Application of quality statistical tools for the evaluation of diagnostic tests for SARS-CoV-2 detection.
001455042 506__ $$aAccess limited to authorized users.
001455042 520__ $$aThis book focus on COVID-19 topics, with emphasis on metabolomics and diagnosis. The chapters cover the chemical science for prevention and understanding outbreaks of infectious diseases. This book compiles the most widespread methodologies of application of quality statistical tools added to the evaluation of diagnostic tests for detection of SARS-CoV-2, metabolic behavior of COVID infection severity, and trends in rapid test for COVID-19.
001455042 588__ $$aDescription based on print version record.
001455042 650_0 $$aCOVID-19 (Disease)
001455042 650_0 $$aCOVID-19 (Disease)$$xDiagnosis.
001455042 650_0 $$aMetabolites.
001455042 655_0 $$aElectronic books.
001455042 7001_ $$aCrespilho, Frank N.,$$eeditor.
001455042 77608 $$iPrint version:$$tCOVID-19 metabolomics and diagnosis.$$dCham : Springer, 2022$$z9783031158889$$w(OCoLC)1346942618
001455042 852__ $$bebk
001455042 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15889-6$$zOnline Access$$91397441.1
001455042 909CO $$ooai:library.usi.edu:1455042$$pGLOBAL_SET
001455042 980__ $$aBIB
001455042 980__ $$aEBOOK
001455042 982__ $$aEbook
001455042 983__ $$aOnline
001455042 994__ $$a92$$bISE