Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review

Autores:: Cantillo-Cabrera, Laura Isabel
Castro-Ortiz, Leidy Yulieth
Rodríguez-Pérez, Wilson
Silva-Torres, Yermyn
Rodríguez, Yaneth

Tipo de recurso:: Article of journal

Fecha de publicación:: 2025

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:: eng

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dc.title.spa.fl_str_mv	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
title	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
spellingShingle	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review Non-destructive techniques Spectral analysis Plant biomolecules Mathematical derivatives Analytical sensitivity Spectral analysis Non-destructive techniques Técnicas no destructivas Análisis espectral Biomoléculas vegetales Derivadas matemáticas Sensibilidad analítica Análisis espectral Técnicas no destructivas
title_short	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
title_full	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
title_fullStr	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
title_full_unstemmed	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
title_sort	Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review
dc.creator.fl_str_mv	Cantillo-Cabrera, Laura Isabel Castro-Ortiz, Leidy Yulieth Rodríguez-Pérez, Wilson Silva-Torres, Yermyn Rodríguez, Yaneth
dc.contributor.author.eng.fl_str_mv	Cantillo-Cabrera, Laura Isabel Castro-Ortiz, Leidy Yulieth Rodríguez-Pérez, Wilson Silva-Torres, Yermyn Rodríguez, Yaneth
dc.subject.none.fl_str_mv	Non-destructive techniques Spectral analysis Plant biomolecules Mathematical derivatives Analytical sensitivity Spectral analysis Non-destructive techniques Técnicas no destructivas Análisis espectral Biomoléculas vegetales Derivadas matemáticas Sensibilidad analítica Análisis espectral Técnicas no destructivas
topic	Non-destructive techniques Spectral analysis Plant biomolecules Mathematical derivatives Analytical sensitivity Spectral analysis Non-destructive techniques Técnicas no destructivas Análisis espectral Biomoléculas vegetales Derivadas matemáticas Sensibilidad analítica Análisis espectral Técnicas no destructivas
publishDate	2025
dc.date.accessioned.none.fl_str_mv	2025-01-01 00:00:00
dc.date.available.none.fl_str_mv	2025-01-01 00:00:00
dc.date.issued.none.fl_str_mv	2025-01-01
dc.type.spa.fl_str_mv	Artículo de revista
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dc.type.local.eng.fl_str_mv	Journal article
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dc.identifier.issn.none.fl_str_mv	2011-2173
dc.identifier.doi.none.fl_str_mv	10.19053/uptc.24223719.20298
dc.identifier.eissn.none.fl_str_mv	2422-3719
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dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.references.eng.fl_str_mv	Abudulla, H.A.N., E.C. Minor, R.F. Dias, and P.G. Hatcher. 2010. Changes in the compound classes of dissolved organic matter along an estuarine transect: A study using FTIR and 13C NMR. Geochim. Cosmochim. Acta 74(13), 3815-3838. Doi: https://doi.org/10.1016/j.gca.2010.04.006 Acemi, A. 2020. Polymerization degree of chitosan affects structural and compositional changes in the cell walls, membrane lipids, and proteins in the leaves of Ipomoea purpurea: An FT-IR spectroscopy study. Int. J. Biol. Macromol. 162, 715-722. Doi: https://doi.org/10.1016/j.ijbiomac.2020.06.171 Admasu, D., D.N. Reddy, and K.N. Mekonnen. 2016. Trace determination of zinc in soil and vegetable samples by spectrophotometry using pyridoxal thiosemicarbazone and 2-acetyl pyridine thiosemicarbazone. Cogent Chem. 2(1), 1249602. Doi: https://doi.org/10.1080/23312009.2016.1249602 Adongo, J.O., S. Osumba, S. Misoi, and J. Kibet. 2022. Spectroscopic and kinetic study of sucrose oxidation by Cr(VI) and its application in the quantitative analysis of soil organic carbon. Int. Res. J. Pure Appl. Chem. 23(4), 1-15. Doi: https://doi.org/10.9734/irjpac/2022/v23i430467 Assaad, A., S. Pontvianne, J.-P. Corriou, and M.-N. Pons. 2015. Spectrophotometric characterization of dissolved organic matter in a rural watershed: the Madon River (N-E France). Environ. Monit. Assess. 187(4), 188. Doi: https://doi.org/10.1007/s10661-015-4422-9 Assaad, A., S. Pontvianne, and M.-N. Pons. 2017. Assessment of organic pollution of an industrial river by synchronous fluorescence and UV-Vis spectroscopy: the Fensch river (NE France). Environ. Monit. Assess. 189(5), 229. Doi: https://doi.org/10.1007/s10661-017-5933-3 Barra, I., S.M. Haefele, R. Sakrabani, and F. Kebede. 2021. Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances-A review. TrAC Trends Anal. Chem. 135, 116166. Doi: https://doi.org/10.1016/j.trac.2020.116166 Baranowska, I. and C. Pieszko. 2002. Derivative spectrophotometry in the analysis of bromacil and metoxuron in the presence of simazine or propazine and hexazinone. Anal. Lett. 35(3), 473-486. Doi: https://doi.org/10.1081/al-120002681 Brugger, A., J. Behmann, S. Paulus, H.-G. Luigs, M.T. Kuska, P. Schramowski, K. Kersting, U. Steiner, and A.-K. Mahlein. 2019. Extending hyperspectral imaging for plant phenotyping to the UV-range. Remote Sens. 11(12), 1401. Doi: https://doi.org/10.3390/rs11121401 Carpentieri, M.A. and V. Domenici. 2024. Introducing UV-visible spectroscopy at high school level following the historical evolution of spectroscopic instruments: A proposal for chemistry teachers. Found. Chem. 26, 115-139. Doi: https://doi.org/10.1007/s10698-024-09501-5 Causse, J., O. Thomas, A.-V. Jung, and M.-F. Thomas. 2017. Direct DOC and nitrate determination in water using dual pathlength and second derivative UV spectrophotometry. Water Res. 108, 312-319. Doi: https://doi.org/10.1016/j.watres.2016.11.010 Chen, Z. 2024. Application of UV-Vis spectroscopy in the detection and analysis of substances. Trans. Mater. Biotechnol. Life Sci. 3, 131-136. Doi: https://doi.org/10.62051/mw4daz69 Chakravarthi, K.S.S., K.B. Ilango, S. Antony Maria Thomas, M. Kowsalya Devi, N. Sudharshan, and V. Swetha. 2023. UV-Visible spectroscopy: A comprehensive review on instrumentation. World J. Pharm. Res. 12(19), 1342-1363. Demetriades, A., M. Birke, S. Albanese, I. Schoeters, and B. De Vivo. 2015. Continental, regional and local scale geochemical mapping. J. Geochem. Explor. 154, 1-5. Doi: https://doi.org/10.1016/j.gexplo.2015.02.011 El-Wakil, A.F. 2025. Beryllium determination in some geological samples by derivative spectrophotometry using rhodamine B dye. Egypt. J. Chem. 68(5), 549-557. Doi: https://doi.org/10.21608/ejchem.2024.312384.10204 Finley, K., S. Chhin, P. Nzokou, and J. O’Brien. 2016. Use of near-infrared spectroscopy as an indicator of emerald ash borer infestation in white ash stem tissue. For. Ecol. Manag. 366, 41-52. Doi: https://doi.org/10.1016/j.foreco.2016.01.032 Fittschen, U.E.A., H.-H. Kunz, R. Höhner, I.M.B. Tyssebotn, and A. Fittschen. 2017. A new micro X-ray fluorescence spectrometer for in vivo elemental analysis in plants. X-Ray Spectrom. 46(5), 374-381. Doi: https://doi.org/10.1002/xrs.2783 Gaál, F., V. Guzsvány, S. Lazić, and N. Vidaković. 2005. Determination of acetamiprid and 6-chlornicotinic acid by derivative spectrophotometry and HPLC methods. pp. 88-92. In: Proc. 12th Symposium on Analytical and Environmental Problems. SZAB, Szeged, Hungary. Goldan, E., V. Nedeff, I. Sandu, N. Barsan, E. Mosnegutu, and M. Panainte. 2019. The use of biochar and compost mixtures as potential organic fertilizers. Rev. Chim. 70(6), 2192-2197. Doi: https://doi.org/10.37358/rc.19.6.7303 Hegazy, M.A., R.M. Abdelfatah, H.M. Mahmoud, and M.A. Elsayed. 2018. Two spectrophotometric methods for quantitative determination of some pesticides applied for cucumber in Egypt. Beni-Suef Univ. J. Basic Appl. Sci. 7(4), 598-605. Doi: https://doi.org/10.1016/j.bjbas.2018.07.002 Lahlali, R., Y. Jiang, S. Kumar, C. Karunakaran, X. Liu, F. Borondics, E. Hallin, and R. Bueckert. 2014. ATR-FTIR spectroscopy reveals involvement of lipids and proteins of intact pea pollen grains to heat stress tolerance. Front. Plant Sci. 5, 747. https://doi.org/10.3389/fpls.2014.00747 Ma, F., C. Du, S. Zheng, and Y. Du. 2021. In situ monitoring of nitrate content in leafy vegetables using attenuated total reflectance −Fourier-transform mid− infrared spectroscopy coupled with machine learning algorithm. Food Anal. Methods 14, 2237-2248. Doi: https://doi.org/10.1007/s12161-021-02048-7 Nikalje, G.C., J. Kumar, T.D. Nikam, and P. Suprasanna. 2019. FT-IR profiling reveals differential response of roots and leaves to salt stress in a halophyte Sesuvium portulacastrum (L.) L. Biotechnol. Rep. 23, e00352. Doi: https://doi.org/10.1016/j.btre.2019.e00352 Omer, S.A. and N.A. Fakhre. 2020. Simultaneous determination of ternary mixture of carboxin, chlorpyrifos, and tebuconazole residues in cabbage samples using three spectrophotometric methods. J. Anal. Methods Chem. 2020, 4912762. Doi: https://doi.org/10.1155/2020/4912762 Page, M.J., D. Moher, P.M. Bossuyt, I. Boutron, T. Hoffmann, C.D. Mulrow, L. Shamseer, J. Tetzlaff, E.A. Akl, S.E. Brennan, R. Chou, J. Glanville, J.M. Grimshaw, A. Hróbjartsson, M.M. Lalu, T. Li, E. Loder, E. Mayo-Wilson, S. McDonald, L.A. McGuinness, L.A. Stewart, J. Thomas, A.C. Tricco, V.A. Welch, P. Whiting, and J.E. McKenzie. 2021. PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. Br. Med. J. 372, n160. Doi: https://doi.org/10.1136/bmj.n160 Parmar, A. and S. Sharma. 2016. Derivative UV-Vis absorption spectra as an invigorated spectrophotometric method for spectral resolution and quantitative analysis: Theoretical aspects and analytical applications: A review. TrAC Trends Anal. Chem. 77, 44-53. Doi: https://doi.org/10.1016/j.trac.2015.12.004 Patel, K.N., J.K. Patel, G.C. Rajput, and N.B. Rajgor. 2010. Derivative spectrometry method for chemical analysis: A review. Pharm. Lett. 2(2), 139-150. Pedersen, M., C. Wegner, P. Phansak, G. Sarath, R. Gaussoin, and V. Schlegel. 2017. Monitoring wheat mitochondrial compositional and respiratory changes using Fourier transform mid-infrared spectroscopy in response to agrochemical treatments. Spectrochim. Acta Part A, Mol. Biomol. Spectrosc. 173, 727-732. Doi: https://doi.org/10.1016/j.saa.2016.10.025 Popescu, C.-M., M.-C. Popescu, and C. Vasile. 2011. Structural analysis of photodegraded lime wood by means of FT-IR and 2D IR correlation spectroscopy. Int. J. Biol. Macromol. 48(4), 667-675. Doi: https://doi.org/10.1016/j.ijbiomac.2011.02.009 Pradas del Real, A.E., A. Pérez-Sanz, P. García-Gonzalo, H. Castillo-Michel, M.J. Gismera, and M.C. Lobo. 2020. Evaluating Cr behaviour in two different polluted soils: mechanisms and implications for soil functionality. J. Environ. Manag. 276, 111073. https://doi.org/10.1016/j.jenvman.2020.111073 Redasani, V.K., P.R. Patel, D.Y. Marathe, S.R. Chaudhari, A.A. Shirkhedkar, and S.J. Surana. 2018. A review on derivative UV-spectrophotometry analysis of drugs in pharmaceutical formulations and biological samples review. J. Chil. Chem. Soc. 63(3), 4126-4134. Doi: https://doi.org/10.4067/s0717-97072018000304126 Rochette, E.A., G.C. Li, and S.E. Fendorf. 1998. Stability of arsenate minerals in soil under biotically generated reducing conditions. Soil Sci. Soci. Am. J. 62(6), 1530-1537. Doi: https://doi.org/10.2136/sssaj1998.03615995006200060008x Rohman, A., M.S.B. Ghazali, A. Windarsih, I. Irnawati, S. Riyanto, F.M. Yusof, and S. Mustafa. 2020. Comprehensive review on application of FTIR spectroscopy coupled with chemometrics for authentication analysis of fats and oils in the food products. Molecules 25(22), 5485. Doi: https://doi.org/10.3390/molecules25225485 Sánchez-Sánchez, A., M. Cerdán, J.D. Jordá, B. Amat, and J. Cortina. 2019. Characterization of soil mineralogy by FTIR: Application to the analysis of mineralogical changes in soils affected by vegetation patches. Plant Soil 439(1-2), 447-458. Doi: https://doi.org/10.1007/s11104-019-04061-6 Sharma, V.K., J.S. Aulakh, S. Bansal, A.K. Malik, and R.K. Mahajan. 2004. Fourth derivative spectrophotometric determination of fungicide ziram (zinc(II) dimethyldithiocarbamate) in commercial samples and wheat grains. Int. J. Environ. Anal. Chem. 84(14-15), 1105-1110. Doi: https://doi.org/10.1080/03067310412331315601 Smidt, E. and K. Meissl. 2007. The applicability of Fourier transform infrared (FT-IR) spectroscopy in waste management. Waste Manage. 27(2), 268-276. Doi: https://doi.org/10.1016/j.wasman.2006.01.016 Souza, M., J.J. Comin, R. Moresco, M. Maraschin, C. Kurtz, P.E. Lovato, C.R. Lourenzi, F.K. Pilatti, A. Loss, and S. Kuhnen. 2021. Exploratory and discriminant analysis of plant phenolic profiles obtained by UV-Vis scanning spectroscopy. J. Integr. Bioinform. 18(3), 20190056. Doi: https://doi.org/10.1515/jib-2019-0056 Swetha, M., P.R. Reddy, and V.K. Reddy. 2013. Non-extractive spectrophotometric determination of U(VI) using 5-bromo salicylaldehyde isonicotinoyl hydrazone in environmental, phosphate rocks and fertilizer samples. Int. J. Sci. Res. Publ. 3(8), 1-5. Tinti, A., V. Tugnoli, S. Bonora, and O. Francioso. 2015. Recent applications of vibrational mid-Infrared (IR) spectroscopy for studying soil components: A review. J. Cent. Eur. Agric. 16(1), 1-22. Doi: https://doi.org/10.5513/jcea01/16.1.1535 Toral, M.I., A. Beattie, C. Santibáñez, and P. Richter. 2002. Simultaneous determination of parathion and p-nitrophenol in vegetable tissues by derivative spectrophotometry. Environ. Monit. Assess. 76(3), 263-274. Doi: https://doi.org/10.1023/a:1015573728784 Torres Neto, L.T., G.P. Viçozzi, P.S. Silva, L.M. Colomé, and E.A. Bender. 2025. Derivative spectrophotometry allows quantitative determination of essential oils in dispersible powders of spray-dried nanocapsules. Braz. J. Anal. Chem. 12(46), 18-29. Doi: https://doi.org/10.30744/brjac.2179-3425.AR-58-2024 Xu, W., H. Yu, F. Yang, D. Liu, K. Lu, H. Gao, and Y. Song. 2022. Second derivative UV-visible spectroscopy characterizing structural components of dissolved and particulate organic matter in an urbanized river. Environ. Sci. Eur. 34, 29. Doi: https://doi.org/10.1186/s12302-022-00609-z Yun, S.-M., C.-S. Kim, J.-J. Lee, and J.-S. Chung. 2024. Application of ATR-FTIR spectroscopy for analysis of salt stress in Brussels sprouts. Metabolites 14(9), 470. Doi: https://doi.org/10.3390/metabo14090470
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spelling	Cantillo-Cabrera, Laura IsabelCastro-Ortiz, Leidy YuliethRodríguez-Pérez, WilsonSilva-Torres, YermynRodríguez, Yaneth2025-01-01 00:00:002025-01-01 00:00:002025-01-012011-217310.19053/uptc.24223719.202982422-3719https://doi.org/10.19053/uptc.24223719.20298application/pdfengSociedad Colombiana de Ciencias Hortícolas-SCCH and Universidad Pedagógica y Tecnológica de Colombia-UPTCRevista Colombiana de Ciencias Hortícolas - 2025http://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/view/20298Non-destructive techniquesSpectral analysisPlant biomoleculesMathematical derivativesAnalytical sensitivitySpectral analysisNon-destructive techniquesTécnicas no destructivasAnálisis espectralBiomoléculas vegetalesDerivadas matemáticasSensibilidad analíticaAnálisis espectralTécnicas no destructivasApplications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic reviewArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Abudulla, H.A.N., E.C. Minor, R.F. Dias, and P.G. Hatcher. 2010. Changes in the compound classes of dissolved organic matter along an estuarine transect: A study using FTIR and 13C NMR. Geochim. Cosmochim. Acta 74(13), 3815-3838. Doi: https://doi.org/10.1016/j.gca.2010.04.006Acemi, A. 2020. Polymerization degree of chitosan affects structural and compositional changes in the cell walls, membrane lipids, and proteins in the leaves of Ipomoea purpurea: An FT-IR spectroscopy study. Int. J. Biol. Macromol. 162, 715-722. Doi: https://doi.org/10.1016/j.ijbiomac.2020.06.171Admasu, D., D.N. Reddy, and K.N. Mekonnen. 2016. Trace determination of zinc in soil and vegetable samples by spectrophotometry using pyridoxal thiosemicarbazone and 2-acetyl pyridine thiosemicarbazone. Cogent Chem. 2(1), 1249602. Doi: https://doi.org/10.1080/23312009.2016.1249602Adongo, J.O., S. Osumba, S. Misoi, and J. Kibet. 2022. Spectroscopic and kinetic study of sucrose oxidation by Cr(VI) and its application in the quantitative analysis of soil organic carbon. Int. Res. J. Pure Appl. Chem. 23(4), 1-15. Doi: https://doi.org/10.9734/irjpac/2022/v23i430467Assaad, A., S. Pontvianne, J.-P. Corriou, and M.-N. Pons. 2015. Spectrophotometric characterization of dissolved organic matter in a rural watershed: the Madon River (N-E France). Environ. Monit. Assess. 187(4), 188. Doi: https://doi.org/10.1007/s10661-015-4422-9Assaad, A., S. Pontvianne, and M.-N. Pons. 2017. Assessment of organic pollution of an industrial river by synchronous fluorescence and UV-Vis spectroscopy: the Fensch river (NE France). Environ. Monit. Assess. 189(5), 229. Doi: https://doi.org/10.1007/s10661-017-5933-3Barra, I., S.M. Haefele, R. Sakrabani, and F. Kebede. 2021. Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances-A review. TrAC Trends Anal. Chem. 135, 116166. Doi: https://doi.org/10.1016/j.trac.2020.116166Baranowska, I. and C. Pieszko. 2002. Derivative spectrophotometry in the analysis of bromacil and metoxuron in the presence of simazine or propazine and hexazinone. Anal. Lett. 35(3), 473-486. Doi: https://doi.org/10.1081/al-120002681Brugger, A., J. Behmann, S. Paulus, H.-G. Luigs, M.T. Kuska, P. Schramowski, K. Kersting, U. Steiner, and A.-K. Mahlein. 2019. Extending hyperspectral imaging for plant phenotyping to the UV-range. Remote Sens. 11(12), 1401. Doi: https://doi.org/10.3390/rs11121401Carpentieri, M.A. and V. Domenici. 2024. Introducing UV-visible spectroscopy at high school level following the historical evolution of spectroscopic instruments: A proposal for chemistry teachers. Found. Chem. 26, 115-139. Doi: https://doi.org/10.1007/s10698-024-09501-5Causse, J., O. Thomas, A.-V. Jung, and M.-F. Thomas. 2017. Direct DOC and nitrate determination in water using dual pathlength and second derivative UV spectrophotometry. Water Res. 108, 312-319. Doi: https://doi.org/10.1016/j.watres.2016.11.010Chen, Z. 2024. Application of UV-Vis spectroscopy in the detection and analysis of substances. Trans. Mater. Biotechnol. Life Sci. 3, 131-136. Doi: https://doi.org/10.62051/mw4daz69Chakravarthi, K.S.S., K.B. Ilango, S. Antony Maria Thomas, M. Kowsalya Devi, N. Sudharshan, and V. Swetha. 2023. UV-Visible spectroscopy: A comprehensive review on instrumentation. World J. Pharm. Res. 12(19), 1342-1363.Demetriades, A., M. Birke, S. Albanese, I. Schoeters, and B. De Vivo. 2015. Continental, regional and local scale geochemical mapping. J. Geochem. Explor. 154, 1-5. Doi: https://doi.org/10.1016/j.gexplo.2015.02.011El-Wakil, A.F. 2025. Beryllium determination in some geological samples by derivative spectrophotometry using rhodamine B dye. Egypt. J. Chem. 68(5), 549-557. Doi: https://doi.org/10.21608/ejchem.2024.312384.10204Finley, K., S. Chhin, P. Nzokou, and J. O’Brien. 2016. Use of near-infrared spectroscopy as an indicator of emerald ash borer infestation in white ash stem tissue. For. Ecol. Manag. 366, 41-52. Doi: https://doi.org/10.1016/j.foreco.2016.01.032Fittschen, U.E.A., H.-H. Kunz, R. Höhner, I.M.B. Tyssebotn, and A. Fittschen. 2017. A new micro X-ray fluorescence spectrometer for in vivo elemental analysis in plants. X-Ray Spectrom. 46(5), 374-381. Doi: https://doi.org/10.1002/xrs.2783Gaál, F., V. Guzsvány, S. Lazić, and N. Vidaković. 2005. Determination of acetamiprid and 6-chlornicotinic acid by derivative spectrophotometry and HPLC methods. pp. 88-92. In: Proc. 12th Symposium on Analytical and Environmental Problems. SZAB, Szeged, Hungary.Goldan, E., V. Nedeff, I. Sandu, N. Barsan, E. Mosnegutu, and M. Panainte. 2019. The use of biochar and compost mixtures as potential organic fertilizers. Rev. Chim. 70(6), 2192-2197. Doi: https://doi.org/10.37358/rc.19.6.7303Hegazy, M.A., R.M. Abdelfatah, H.M. Mahmoud, and M.A. Elsayed. 2018. 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Doi: https://doi.org/10.3390/metabo14090470111119Revista Colombiana de Ciencias Hortícolashttps://revistas.uptc.edu.co/index.php/ciencias_horticolas/article/download/20298/16213PublicationOREORE.xmltext/xml2935https://repositorio.uptc.edu.co/bitstreams/2ed5bc2e-b99a-403e-8008-2703892acc09/download970aec9fd8e2be13753dcea9a477406bMD51falseAnonymousREAD001/21490oai:repositorio.uptc.edu.co:001/214902026-11-11 05:15:28.766http://creativecommons.org/licenses/by-nc-sa/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Applications of derivative spectroscopy in soils, water, vegetables, and agricultural inputs: A systematic review

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