Table 6.
1 | IR | Age and gender | 2020 [Bel’skaya et al. 2020] | _ |
---|---|---|---|---|
2 | AAS | Metal residuals in saliva: orthodontic Appliances | 2020 [Curro, and Bilello 2020] | L.O.D : μg/l |
3 | IR | Spectral features in tobacco smoking, periodontal diseases, and gender. | 2019 [Derruau et al. 2019] | _ |
4 | AAS | Release of nickel, chromium, and zinc in saliva; Use of orthodontic appliances | 2019 [Quadras et al. 2019] | _ |
5 | SERS | Effects of low-dose irradiation on saliva | 2019 [Colceriu-Șimon et al. 2019] | _ |
6 | LIBS | Calcium in saliva | 2019 [Zahroh et al. 2019] | _ |
7 | IR | Saliva composition | 2018 [Bel’skaya et al. 2018] | _ |
8 | ATR-FTIR | Forensic, body fluids, including Saliva | 2018 [Takamura et al. 2018] | _ |
9 | SPR | ABH antigen detection in saliva. | 2017 [Peungthum et al. 2017] | _ |
10 | LSPR | Wine astringency. Interaction of red wine and saliva | 2017 [Guerreiro et al. 2017] | L.O.D : 1 μmol/L |
11 | LSPR | Monitoring the pH of saliva | 2017 [Luo et al. 2017] | wavelengths of 665 nm and 785 nm—the sensitivities were 0.0299 a.u./pH (a.u. = arbitrary unit) with a linear range of pH = 5–8 and 0.0234 a.u./pH with linear range of pH = 2–8, respectively |
12 | FTIR | Effect of smoking cessation on saliva | 2017 [Rodrigues et al. 2017] | _ |
13 | TRLFS |
ingestion of radioactive contaminants, time-resolved laser-induced fluorescence spectroscopy |
2017 [Barkleit et al. 2017] | _ |
14 | Raman | Forensic body fluid identification | 2016 [Muro et al. 2016] | _ |
15 | Raman | Sex determination based on saliva spectrum; forensic | 2016 [Muro et al. 2016a, b] | 92% |
16 | IR, Raman | Forensic analysis | 2015 [Zapata et al. 2015] | _ |
17 | SPRi-MS | Protein biomarkers salivary α-amylase and lysozyme. | 2015 [Musso et al. 2015] | _ |
18 | Raman | Forensic analysis | 2010 [Virkler and Lednev 2010] | _ |