Skip to main content

Advertisement

Log in

Provenance and Uniqueness in the Emerging Botanical and Natural Food Industries—Definition, Issues and Tools

  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

The emerging botanical and native food industries have enormous potential for the development and delivery of authentic, delicious and unique foods and ingredients. The definition of provenance (e.g. authenticity, geographical origin) is of primary importance for these emerging food industries to gain access into different local and international markets. For example, the production of native food ingredients in Australia is based on the knowledge of the native flora (more than 25,0000 native species), local traditions and uses that might provide with new opportunities for the development and selection of new alternative ingredients and products. Overall, the utilization of these unique food ingredients is contributing with the development of new, attractive, delicious, healthy and nutritious foods. However, one important aspect of their utilization is the one associated with their provenance. Therefore, the definition, evaluation and understanding of provenance will provide with several economic advantages to the custodians and producers of this type of natural and plant ingredients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Ahearn MC, Armbruster W, Young R (2016) Big Data’s potential to improve food supply chain environmental sustainability and food safety. Int Food Agribusiness Manag Rev 19(Special Issue A)

  • Ares G, Deliza R, Barreiro C, Giménez A, Gámbaro A (2010) Comparison of two sensory profiling techniques based on consumer perception. Food Qual Prefer 21(2010):417–426

    Google Scholar 

  • Astill J, Dara R, Campbell M, Farber JF, Fraser E, Sharif S, Yadaf R (2019) Transparency in food supply chains: A review of enabling technology solutions. Trends Food Sci Technol 91(2019):240–247

    CAS  Google Scholar 

  • Aung MM, Chang YS (2014) Traceability in a food supply chain: Safety and quality perspectives. Food Control 39:172–184

    Google Scholar 

  • Barrett B (2010) Measuring Food Insecurity Christopher Science 327:825

  • Bateman TS, Mann ME (2016) The supply of climate leaders must grow. Nat Clim Chang 6:1052–1053

    Google Scholar 

  • Bec KB & Huck Ch W (2019) Breakthrough potential in near-infrared spectroscopy: spectra simulation. A Review of Recent Developments. Front Chem. https://doi.org/10.3389/fchem.2019.00048

  • Bec KB, Grabska J, Huck CW (2020) Review near-infrared spectroscopy in bio-applications. Molecules 25:2948. https://doi.org/10.3390/molecules25122948

    Article  CAS  PubMed Central  Google Scholar 

  • Bernard Hubert M, Rosegrant M, van Boekel AJS, Ortiz R (2010) The future of food: scenarios for 2050. Crop Sci 50:S33–S50

    Google Scholar 

  • Boland MJ, Rae AN, Vereijken JM, Meuwissen MPM, Fischer ARH, van Boekel MAJS, Rutherfurd SM, Gruppen H, Moughan PJ, Hendriks WH (2013) The future supply of animal-derived protein for human consumption. Trends Food Sci Technol 29:62–73

    CAS  Google Scholar 

  • Bro R, Smilde AK (2014) Principal component analysis. Anal Methods 6(9):2812–2831

    CAS  Google Scholar 

  • Bronson K, Knezevic I (2016) Big Data in food and agriculture. Big Data Soc 1–5

  • Bureau S, Cozzolino D, Clark CJ (2019) Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review. Postharvest Biol Technol 148:1–14

    CAS  Google Scholar 

  • Callao MP, Ruisánchez I (2018) An overview of multivariate qualitative methods for food fraud detection. Food Control 86:283–293

    CAS  Google Scholar 

  • Camin F, Bontempo L, Heinrich K, Horacek M, Kelly SD, Schlicht C, Rossmann A (2007) Multi-element (H, C, N, S) stable isotope characteristics of lamb meat from different European regions. Anal Bioanal Chem 389(1):309–320

    CAS  PubMed  Google Scholar 

  • Camin F, Boner M, Bontempo L, Fauhl-Hassek C, Kelly SD, Riedl J, Rossmann A (2017) Stable isotope techniques for verifying the declared geographical origin of food in legal cases. Trends Food Sci Technol 61:176–187

    CAS  Google Scholar 

  • Carcea M, Brereton P, Hsu R, Kelly S, Marmiroli N, Melini F et al (2009) Food authenticity assessment: ensuring compliance with food legislation and traceability requirements. Qual Assur Saf Crops Foods 1(2):93–100

    Google Scholar 

  • Chapman J, Elbourne A, Truong VK, Newman L, Gangadoo S, Rajapaksha Pathirannahalage P, Cheeseman S, Cozzolino D (2019) Sensomics - from conventional to functional NIR spectroscopy - shining light over the aroma and taste of foods. Trends Food Sci Technol 91:274–281

    CAS  Google Scholar 

  • Chapman J, Power A, Netzel ME, Sultanbawa Y, Smyth HE, Truong VK, Cozzolino D (2021) Challenges and opportunities of the fourth revolution: a brief insight into the future of food. Crit Rev Food Sci Nutr. https://doi.org/10.1080/10408398.2020.1863328

  • Cortes V, Blasco J, Aleixos N, Cubero S, Talensa P (2019) Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review. Trends Food Sci Technol 85:138–148

    CAS  Google Scholar 

  • Cozzolino D (2015) Foodomics and infrared spectroscopy: from compounds to functionality. Current Op Food Sci 4:39–43

    Google Scholar 

  • Cozzolino D (2019) Food for thought: the digital disruption and the future of food production. Curr Res Nutr Food Sci 7:607–609

    Google Scholar 

  • Dabbene F, Gay P, Tortia C (2014) Traceability issues in food supply chain management: A review. Biosyst Eng 120:65–80

    Google Scholar 

  • Daley CA, Abbott A, Doyle PS, Nader GA, Larson S (2010) A review of fatty acid profiles and antioxidant content in grass-fed and grain-fed beef. Nutr J 9(1):10

    PubMed  PubMed Central  Google Scholar 

  • Dasgupta N, Ranjan S, Mundekkad D, Ramalingam C, Shanker R, Kumar A (2015) Nanotechnoloy in agrofood: from field to plate. Food Res Int 69:381–400

    Google Scholar 

  • Dennis MJ (1998) Recent developments in food authentication. Analyst 123(9):151R-156R

    Google Scholar 

  • Dietterich TG (2000) Ensemble methods in machine learning. Berlin/Heidelberg: Springer, pp 1–15

    Google Scholar 

  • Elliott C (2014) Elliott review into the integrity and assurance of food supply networks final report: a national food crime prevention framework. Her Majesty’s (HM) Government, London. https://www.gov.uk/government/publications/elliott-review-into-the-integrity-and-assurance-of-food-supply-networks-final-report. Accessed 5 Jan 2018

  • Ellis DI, Brewster VL, Dunn WB, Allwood JW, Golovanov AP, Goodacre R (2012) Fingerprinting food: Current technologies for the detection of food adulteration and contamination. Chem Soc Rev 41(17):5706–5727

    CAS  PubMed  Google Scholar 

  • Ellis DI, Muhamadali H, Haughey SA, Elliott CT, Goodacre R (2015) Point and shoot: rapid quantitative detection methods for on-site food frau analysis – moving out the laboratory and into the food supply chain. Anal Methods 7:9401–9414

    Google Scholar 

  • Fan S, Teng P, Chew P, Smith G, Copeland L (2021) Food systems resilience and COVI-19 – Lessons from the Asian experience. Global Food Secur 28:100501

    Google Scholar 

  • Francois G, Vaillant F, Montet D (2020) Traceability of fruits and vegetables. Phytochemistry 173:112291

  • Friel S, Schram A, Townsend B (2020) The nexus between international trade, food systems, malnutrition and climate change. Nature Food 1:51–58

    Google Scholar 

  • Fritsche J (2018) Recent developments and digital perspectives in food safety and authenticity. J Agric Food Chem 66:7562–7567

    CAS  PubMed  Google Scholar 

  • Fry B (2006) Stable Isotope Ecology. New York: Springer

    Google Scholar 

  • Gallo M, Ferranti P (2016) The evolution of analytical chemistry methods in foodomics. J Chromatogr A 1428:3–15

    CAS  PubMed  Google Scholar 

  • Galvin-King P, Haughey SA, Elliott CT (2018) Herb and spice fraud; the drivers, challenges and detection. Food Control 88:85–97

    CAS  Google Scholar 

  • Gangjee DS (2017) Proving Provenance? Geographical Indications Certification and its Ambiguities World Development 98:12–24

  • Garcia-Oliveira P, Fraga-Corral M, Pereira AG, Prieto MA, Simal-Gandara J (2020) Solutions for the sustainability of the food production and consumption systems. Crit Rev Food Sci Nutr

  • Gebbers R, Adamchuk VI (2010) Precision Agriculture and Food Security. Science 327:828

    CAS  PubMed  Google Scholar 

  • Godfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF, Pretty J, Robinson S, Thomas SM, Toulmin C (2010) Food Security: The Challenge of Feeding 9 Billion People. Sci 327:810–818

    Google Scholar 

  • Gofman A, Moskowitz HR, Bevolo M, Mets T (2010) Decoding consumer perceptions of premium products with rule-developing experimentation. J Consum Mark 27(5):425–436

    Google Scholar 

  • Goldsmith P, Bender K (2004) Ten conversations about identity preservation. J Chain Netw Sci 4(2):111–123

    Google Scholar 

  • Gorman J, Pearson D, Wurm P (2020) Old ways, new ways—Scaling up from customary use of plant products to commercial harvest taking a multifunctional, landscape approach. Land 9:171–191

    Google Scholar 

  • Graham C, & Hart D (1997) Prospects for the Australian native bushfood industry. Australian Government, RIRDC, Pub. No. 97/22. Canberra

  • Guyon F, Vaillant F, Montet D (2020) Traceability of fruits and vegetables. Phytochemistry 173:112291

    Google Scholar 

  • Hele AE (2003) Researchers’ extension program for the native foods industry. RIRDC Publication No 03/013. Rural Industries Research and Development Corporation, Kingston, ACT, Australia

  • Hobson KA, Wassenar LI (2008) Tracking animal migration with stable isotopes. London: Elsevier

    Google Scholar 

  • Hölzl S, Horn P, Rossmann A, Rummel S (2004) Isotope-abundance ratios of light (bio) and heavy (geo) elements in biogenic tissues: Methods and applications. Anal Bioanal Chem 378(2):270–272

    PubMed  Google Scholar 

  • Huang H, Yu H, Xu H, Ying Y (2008) Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review. J Food Eng 87(3):303–313

    CAS  Google Scholar 

  • Huck Ch, Pezzei CK, Huck-Pezzei VAC (2016) An industry perspective of food fraud. Curr Opin Food Sci 10:32–37

    Google Scholar 

  • Indrayanto G (2018) Recent development of quality control methods for herbal derived drug preparations. Nat Prod Commun 13(12):1599–1606

    Google Scholar 

  • Kamal M, Karoui R (2015) Analytical methods coupled with chemometric tools for determining the authenticity and detecting the adulteration of dairy products: A review. Trends Food Sci Technol 46(1):27–48

    CAS  Google Scholar 

  • Kelly S, Heaton K, Hoogewerff J (2005) Tracing the geographical origin of food: The application of multi-element and multi-isotope analysis. Trends Food Sci Technol 16(12):555–567

    CAS  Google Scholar 

  • Kemp SE, Hollowood T, Hort J (2009) Sensory evaluation: a practical handbook First published. Wiley

  • King T, Cole M, Farber JM, Eisenbrand G, Zabaras D, Fox EM et al (2017) Food safety for food security: relationship between global megatrends and developments in food safety. Trends Food Sci Technol 68:160–175

    CAS  Google Scholar 

  • Krouse HR, & Grinenko VA (1991) Stable isotopes: natural and anthropogenic sulphur in the environment (SCOPE 43). Chichester. New York, Brisbane, Toronto, Singapore: Wiley

  • Lajtha K, Michener R (2007) Stable isotopes in ecology and environmental science, 2nd edn. Oxford: Wiley-Blackwell

    Google Scholar 

  • Lohumi S, Lee S, Lee H, Cho B-K (2015) A review of vibrational spectroscopic techniques for the detection of food authenticity and adulteration. Trends Food Sci Technol 46(1):85–98

    CAS  Google Scholar 

  • Lukasewycz LD, Mennella JA (2012) Lingual tactile acuity and food texture preferences among children and their mothers. Food Qual Prefer 26:58–66

    PubMed  PubMed Central  Google Scholar 

  • Luykx DMAM, Van Ruth SM (2008) An overview of analytical methods for determining the geographical origin of food products. Food Chem 107(2):897–911

    CAS  Google Scholar 

  • Manning L, Soon JM (2016) Food safety, food fraud, and food defense: a fast evolving literature. J Food Sci 81:R823–R834

    CAS  PubMed  Google Scholar 

  • Manton WI (2010) Determination of the provenance of cocoa by soil protolith ages and assessment of anthropogenic lead contamination by Pb/Nd and lead isotope ratios. J Agric Food Chem 58:713–721

    CAS  PubMed  Google Scholar 

  • McGoverin CM, Weeranantanaphan J, Downey G, Manley M (2010) The application of near infrared spectroscopy to the measurement of bioactive compounds in food commodities. J near Infrared Spectros 18:87–111

    CAS  Google Scholar 

  • McGrath TF, Haughey SA, Patterson J, Fauhl-Hassek C, Donarski J, Alewijn M, van Ruth S, Elliot CT (2018) What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can be addressed ? Spectroscopy case study. Trends Food Sci Technol 76:38–55

    CAS  Google Scholar 

  • Medina S, Pereira JA, Silva P, Perestrelo R, Câmara JS (2019) Food fingerprints – A valuable tool to monitor food authenticity and safety. Food Chem 278:144–162

    CAS  PubMed  Google Scholar 

  • Meilgaard M, Civille GV, Carr BT (1999) Sensory evaluation techniques. Florida: CRC Press

    Google Scholar 

  • Monahan FJ, Schmidt O, Moloney AP (2018) Meat provenance: Authentication of geographical origin and dietary background of meat. Meat Sci 144:2–14

    CAS  PubMed  Google Scholar 

  • Montgomery H, Haughey SA, Elliot CT (2020) Recent food safety and fraud issues within the dairy supply chain (2015–2019). Global Food Security 26

  • Moskowitz H, Gofman A (2007) Selling Blue Elephants: How to Make Great Products before People Even Know They Want Them. Philadelphia: Wharton School Publishing

    Google Scholar 

  • Moskowitz HR, Porretta S, Silcher M (2005) Concept Research in Food Product Design and Development. Ames: Blackwell Professional Publishing

    Google Scholar 

  • National Academies of Sciences, Engineering, and Medicine (2020) Innovations in the food system: exploring the future of food: proceedings of a workshop. Washington, DC: The National Academies Press

  • Oliveri P, Di Egidio V, Woodcock T, Downey G (2011) Application of class-modelling techniques to near infrared data for food authentication purposes. Food Chem 125:1450–1456

    CAS  Google Scholar 

  • Olsen O, Borit M (2018) The components of a food traceability system. Trends Food Sci Technol 77:143–149

    Google Scholar 

  • Parveen I, Gafner S, Techen N, Murch SJ, Khan IA (2016) DNA Barcoding for the Identification of Botanicals in Herbal Medicine and Dietary Supplements: Strengths and Limitations. Planta Med 82:1225–1235

    CAS  PubMed  Google Scholar 

  • Pasquini C (2018) Near infrared spectroscopy: A mature analytical technique with new perspectives—A review. Anal Chim Acta 1026:8–36

    CAS  PubMed  Google Scholar 

  • Poore J, Nemecek T (2018) Reducing food’s environmental impacts through producers and consumers. Science (new York, n. y) 360(6392):987–992

    CAS  Google Scholar 

  • Power A, Cozzolino D (2020) How fishy is your fish? Authentication, provenance and traceability in fish and seafood by means of vibrational spectroscopy. Appl Sci 10:4150

    CAS  Google Scholar 

  • Primrose S, Woolfe M, Rollinson S (2010) Food forensics: Methods for determining the authenticity of foodstuffs. Trends Food Sci Technol 21(12):582–590

    CAS  Google Scholar 

  • Reynertson KA, Mahmood K (2015) The importance of quality and authenticity for botanical R&D. 1st Edition First, CRC Press

  • Roßmann A (2013) New approaches for verifying the geographical origin of foods. Woodhead Publishing Limited

  • Robson K, Dean M, Haughey S, Elliott C (2021) A comprehensive review of food fraud terminologies and food fraud mitigation guides. Food Control 120:107516

    Google Scholar 

  • Rossmann A, Schlicht C (2007) Stable isotope analysis for origin assignment of animal products. Fleischwirtschaft 87(8):104–109

    CAS  Google Scholar 

  • Rossmann A, Haberhauer G, Hölzl S, Horn P, Pichlmayer F, Voerkelius S (2000) The potential of multielement stable isotope analysis for regional origin assignment of butter. Eur Food Res Technol 211(1):32–40

    CAS  Google Scholar 

  • Ruiz-Altisent M, Ruiz-Garcia L, Moreda GP, Lu R (2010) Sensors for product characterization and quality of specialty crops—A review. Comp Electronics Agric 74:176–194

    Google Scholar 

  • Ruiz-Garcia L, Steinberger G, Rothmund M (2009) A model and prototype implementation for tracking and tracing agricultural batch products along the food chain. Food Control 21(2010):112–121

    Google Scholar 

  • Saeys W, Do Trong NN, Van Beers R, Nicolai BM (2019) Multivariate calibration of spectroscopic sensors for postharvest quality evaluation: A review. Postharvest Biol Technol 158

  • Sanzin E, Badea M, Dos Santos A, Restani P, Sievers H (2011) Quality control of plant food supplements. Food Funct 2:740–746

    Google Scholar 

  • Satyadevan S, Kalarickal B, Jinesh M (2015) Security, trust and implementation limitations of prominent IoT platforms. In Satapathy SC, Biswal BN, Udgata SK, Mandal JK (Eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) Vol. 328 of Advances in Intelligent Systems and Computing, Springer Inter- national Publishing, 85–95

  • Sendin K, Williams PJ, Manley M (2018) Near infrared hyperspectral imaging in quality and safety evaluation of cereals. Crit Rev Food Sci Nutr 58(4):575–590

  • Serazetdinova L, Garratt J, Baylis A, Stergiadis S, Collison M, Davis S (2019) How should we turn data into decisions in AgriFood? J Sci Food Agric 99:3213–3219

    CAS  PubMed  Google Scholar 

  • Simmler C, Chen SN, Anderson J et al (2015) Botanical integrity: the importance of the integration of chemical, biological, and botanical analyses, and the role of DNA barcoding. HerbalGram 106:56–58

    Google Scholar 

  • Simmler C, Chen S, Anderson J et al (2016) Botanical integrity: part 2 traditional and modern analytical approaches. HerbalGram 109:60–61

    PubMed  PubMed Central  Google Scholar 

  • Simmler C, Graham JG, Chen S-N, Paulia G (2018) Integrated analytical assets aid botanical authenticity and adulteration management. Fitoterapia 129:401–414

    PubMed  Google Scholar 

  • Spink J (2019) The current state of food fraud prevention: overview and requirements to address How to Start? and How Much is Enough? Curr Opin Food Sci 27:130–138

    Google Scholar 

  • Spink J, Moyer DC, Speier-Pero C (2016) Introducing the Food Fraud Initial Screening model (FFIS). Food Control 69:306–314

    Google Scholar 

  • Stone H, Bleibaum R, Thomas H (2012) Sensory Evaluation Practices, 5th edn. Elsevier

    Google Scholar 

  • Sultanbawa Y (2016) Processing of native plant foods and ingredients. In Australian Native Plants; Cultivation and Uses in the Health and Food Industries. Boca Raton: CRC Press

  • Szymanska E (2018) Modern data science for analytical chemical data: a comprehensive review. Anal Chim Acta 1028:1–10

    CAS  PubMed  Google Scholar 

  • Szymańska E, Gerretzen J, Engel J, Geurts B, Blanchet L, Buydens LM (2015) Chemometrics and qualitative analysis have a vibrant relationship. TrAC, Trends Anal Chem 69:34–51

    Google Scholar 

  • Truong VK, Dupont M, Elbourne A, Gangadoo S, Rajapaksha Pathirannahalage P, Cheeseman S, Chapman J, Cozzolino D (2019) From academia to reality check: a theoretical framework on the use of chemometric. Foods 8:1–10

    Google Scholar 

  • Udmale P, Pal I, Szabo S, Pramanika M, Large A (2020) Global food security in the context of COVID-19: A scenario-based exploratory analysis. Prog Disaster Sci 7:100120

  • Upton R, David B, Gafner S, Glasl S (2019) Botanical ingredient identification and quality assessment: strengths and limitations of analytical techniques. Phytochem Rev. https://doi.org/10.1007/s11101-019-09625-z

  • van Ruth SM, Lunning PA, Silvis LCJ, Yang Y, Huisman W (2018) Differences in fraud vulnerability in a various food supply chains and their tiers. Food Control 84:375–381

    Google Scholar 

  • Wallace ED, Todd D, Harnly J, Cech NB, Kellogg JJ (2020) Identification of Adulteration in Botanical Samples with Untargeted Metabolomics. Anal Bioanal Chem 412:4273–4286

    CAS  PubMed  PubMed Central  Google Scholar 

  • Walsh KB, McGlone VA, Hanc DH (2019) The uses of near infra-red spectroscopy in postharvest decision support: A review. Postharvest Biol Technol 163:111139

    Google Scholar 

  • Witten IH, Frank E, Hall MA, Pal CJ (2016) Data mining, fourth edition: practical machine learning tools and techniques. San Francisco: Morgan Kaufmann Publishers Inc

    Google Scholar 

  • Whitehead PJ, Gorman J, Griffiths AD, Wightman G, Massarella H, Altman J (2006) Feasibility of Small Scale Commercial Native Plant Harvests by Indigenous Communities. RIRDC Publication No 04/149. Rural Industries Research and Development Corporation, Kingston, ACT, Australia

  • Whitfield S, Challinor AJ, Rees R (2018) Frontiers in climate Smart Food Systems: Outlining the research Space Frontiers in Sustainable Food Systems 2:Art 2

Download references

Funding

This work was supported by the Cooperative Research Centre for Developing Northern Australia (CRCNA) project—Improving the efficiency of Kakadu plum value chains to grow a robust and sustainable industry [grant number AT.2.1718031] and the Australian Research Council (ARC) Industrial Transformation Training Centre (ITTC) for Uniquely Australian Foods [Grant number: IC180100045].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Cozzolino.

Ethics declarations

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Informed consent not applicable.

Conflict of Interest

Author Yasmina Sultanbawa declares that she has no conflict. Author Heather Smyth declares that she has no conflict of interest. Author Daniel Cozzolino declares that he has no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Smyth, H., Sultanbawa, Y. & Cozzolino, D. Provenance and Uniqueness in the Emerging Botanical and Natural Food Industries—Definition, Issues and Tools. Food Anal. Methods 14, 2511–2523 (2021). https://doi.org/10.1007/s12161-021-02079-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-021-02079-0

Keywords

Navigation